QuantiFly: Robust Trainable Software for Automated Drosophila Egg Counting. by Dominic Waithe, Peter Rennert, Gabriel Brostow, Matthew D W Piper

“…We report the development and testing of software called QuantiFly: an automated tool to quantify Drosophila egg laying. …”
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Leveraging LSTM and ensemble classifiers for enhanced food waste classification by Khalaf Alsalem

“…The proposed feature extraction approach detects temporal patterns in feature data, improving the robustness of decisions and making this method suitable for waste classification applications. …”
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MetaTrans-FSTSF: A Transformer-Based Meta-Learning Framework for Few-Shot Time Series Forecasting in Flood Prediction by Jiange Jiang, Chen Chen, Anna Lackinger, Huimin Li, Wan Li, Qingqi Pei, Schahram Dustdar

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Dissecting biological heterogeneity in major depressive disorder based on neuroimaging subtypes with multi-omics data by Lili Tang, Rui Tang, Junjie Zheng, Pengfei Zhao, Rongxin Zhu, Yanqing Tang, Xizhe Zhang, Xiaohong Gong, Fei Wang

“…We identified three neuroimaging-based MDD subtypes, each characterized by unique ALFF pattern alterations compared to HC. Multi-omics analysis showed a strong genetic predisposition for Subtype 1, primarily enriched in neuronal development and synaptic regulation pathways. …”
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Low-hit frequency-hopping communication systems for power Internet of things random access by Shu DU, Mei MA, Bo ZHAO, Qi ZENG, Xing LIU

“…The communication network is an essential component of the data acquisition and information transmission in power Internet of things (IoT).To meet the development requirements of multiple power service in the future, the wireless communication technique with flexible-access and high scalability is one of the development directions for power IoT.Due to the features of large-scale access, random access time, high security and reliability for information transmission of power IoT, a frequency-hopping (FH) technique with low-hit rate for random access was proposed.The construction algorithm of such FH pattern was based upon the combination and shift operation of conventional FH sequences.By the theoretical arithmetic and numerical simulation, the properties of the proposed FH pattern and the error-rate of the FH-based power IoT were evaluated.The analysis reveals that the new class of FH sequences and the system can meet the requirements of large-scale access and highly reliable communication for the power IoT, which has good application prospects.…”
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Deep learning-based debris flow hazard detection and recognition system: a case study by Fei Wu, Jianlin Zhang, Dunlong Liu, Andreas Maier, Vincent Christlein

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Research on the Spatial Network Connection Characteristics and Influencing Factors of Chengdu–Chongqing Urban Agglomeration from the Perspective of Flow Space by Yangguang Hao, Zhongwei Shen, Jiexi Ma, Jiawei Li, Mengqian Yang

“…Urban Agglomerations (UAs), as the primary form of China’s new urbanization and an essential spatial unit for promoting coordinated regional development, play a crucial role in measuring the sustainable and healthy development of urban clusters through the assessment of spatial network connections among cities within the UAs. …”
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Ultrafast Laser High-Aspect-Ratio Extreme Nanostructuring of Glass beyond λ/100 by Guodong Zhang, Anton Rudenko, Razvan Stoian, Guanghua Cheng

“…The ultimate feature size is key in ultrafast laser material processing. …”
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Handling Sensor Faults in Hydroponics: A Deep Learning Imputation Technique for Accurate Tomato Yield Prediction by Viji Venugopal, Paresh Tanna, Ramesh Karnati

“…DLPIM introduces a feature encoder-based generator with a 4-headed self-attention mechanism and a Crop Growth Rate (CGR) guided temporal processor to capture complex time-series patterns while maintaining physiological consistency. …”
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Construction and characterization of cultural landscape genomic maps of traditional miao communities in Leigong Mountain by Han Gu, Hongyu Chen, Yiting Luo, Ke Xu

“…This study clarifies the spatial distribution pattern of the cultural landscape genome of traditional gMiao villages in Leigong Mountain by constructing an atlas and identifying the relationship between the mutual influences of various elements during the development and evolution of the villages. …”
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Application of Deep Learning Algorithm for Web Shell Detection in Web Application Security System by Rezky Yuranda, Edi Surya Negara

“…Through preprocessing techniques such as opcode extraction and feature selection, useful pattern recognition for web shell detection is achieved. …”
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Prediction of radiosensitivity in non-small cell lung cancer based on computed tomography and tumor genomics: a multiple real world cohort study by Peimeng You, Qiaxuan Li, Yu Lei, Chuhao Xu, Daipeng Xie, Lintong Yao, Jiaxin Yuan, Junyu Li, Haiyu Zhou

“…In this research, based on single cell sequence data we used radiomics to help identify and screen feature signatures to distinguish varying radiosensitivity in different regions of the target area of non-small cell lung cancer can provide a new pattern to assess sensitivity of radiotherapy and assist in clinical decision-making. …”
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Transcriptome analysis reveals the sex-switching mechanism of juvenile hermaphroditism in silver pomfret (Pampus argenteus) by Yaya Li, Jiabao Hu, Chongyang Wang, Man Zhang, Youyi Zhang, Yuanbo Li, Mengke Tang, Chunlai Qin, Zukang Feng, Shanliang Xu, Xiaojun Yan, Xubo Wang, Haimin Chen, Yajun Wang

“…Heatmaps were generated to visualize gene expression patterns across developmental stages and samples. Sex hormones concentrations were measured using commercial assay kits to assess their role in gonadal differentiation. …”
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Carapace Morphological Characteristics of Chinese Mitten Crab (<i>Eriocheir sinensis</i>) from Emerging Origins Revealed via Geometric Morphometrics by Wang Zhang, Junren Xue, Li Ma, Jian Yang

“…This study used geometric morphometrics to investigate the carapace features of Chinese mitten crabs (<i>Eriocheir sinensis</i>) from non-traditional/emerging origins (Zhenlai County and Bosten Lake) and identify differences in features relative to crabs from traditional origins (Yangcheng Lake). …”
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Determination of Bioactive Components in Chrysanthemum Tea (Gongju) Using Hyperspectral Imaging Technique and Chemometrics by Yunpeng Wei, Huiqiang Hu, Minghua Yuan, Huaxing Xu, Xiaobo Mao, Yuping Zhao, Luqi Huang

“…Combining hyperspectral imaging (HSI) with key wavelength selection and pattern recognition methods, this study developed a novel approach to estimating the content of bioactive components in chrysanthemums, including the total flavonoids (TFs) and chlorogenic acids (TCAs). …”
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A Study on the Spatiotemporal Heterogeneity and Driving Forces of Ecological Resilience in the Economic Belt on the Northern Slope of the Tianshan Mountains by Keqi Li, Qingwu Yan, Zihao Wu, Guie Li, Minghao Yi, Xiaosong Ma

“…The overall distribution pattern exhibited a spatial feature of south higher, north lower, where the southern region displayed a clear high-high clustering characteristic, exerting a positive and radiating influence on surrounding areas. (2) The main driving factors of the spatial heterogeneity are DEM, precipitation, NPP, GDP, and PM2.5. …”
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Urban Functional Zone Identification Based on Multimodal Data Fusion: A Case Study of Chongqing’s Central Urban Area by Yongchuan Zhang, Yuhong Xu, Jie Gao, Zunya Zhao, Jing Sun, Fengyun Mu

“…TriNet comprises three specialized branches: ImgNet for spatial features extraction from images, POINet for functional density distribution features extraction from POI data, and TrajNet for spatiotemporal pattern features extraction from OD data. …”
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DAFDM: A Discerning Deep Learning Model for Active Fire Detection Based on Landsat-8 Imagery by Xu Gao, Wenzhong Shi, Min Zhang, Lukang Wang

“…This method is anticipated to further contribute to AF monitoring and wildfire development pattern analysis.…”
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Macroglossia in Beckwith-Wiedemann Syndrome Is Attributed to Skeletal Muscle Hyperplasia by Yuzo Oyama, Haruto Nishida, Osamu Kobayashi, Kenji Kawano, Kenji Ihara, Tsutomu Daa

“…Macroglossia is a common feature in patients with Beckwith-Wiedemann syndrome (BWS). …”
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Fabrication of Large-Area High-Resolution Templates by Focused Ion Beam Combined with Colloidal Nanoparticle Dimer Deposition for SERS Substrates by Liga Ignatane, Reinis Ignatans, Juris Prikulis, Annamarija Trausa, Ciro Federico Tipaldi, Edgars Vanags, Martins Zubkins, Krisjanis Smits, Anatolijs Sarakovskis

“…The pattern creation on glass was developed with the aim of studying potential surface-enhanced Raman spectroscopy (SERS) applications. …”
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