Different Fish Farming Patterns in Paddy Fields Substantially Impact the Bacterial Community Composition, Stability, and Assembly Processes in Paddy Water by Yiran Hou, Rui Jia, Linjun Zhou, Liqiang Zhang, Bing Li, Jian Zhu

“…Partitioned rice–fish farming, an advancement of the traditional approach, addresses challenges such as difficulties in fish harvesting and the inconveniences of mechanized operations encountered in paddy fields. To evaluate the environmental impacts of partitioned rice–fish farming on the agricultural ecosystem, we investigated the impacts of partitioned rice–fish farming on the diversity, composition, functionality, co-occurrence networks, and assembly processes of bacterial communities within paddy water. …”
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Lulu Filterized Lin’s correlative Theil-Sen regression-based fully connected deep multilayer perceptive neural network for eye gaze pattern recognition by Rathi K., Srinivasan K.

“…Traditional tracking schemes usually need accurate personal calibration procedure to evaluate the particular eye metrics. In order to improve the accurate gaze estimation, Lulu Filterized Lin’s Correlative Theil–Sen Regression-based Fully Connected Deep Multilayer Perceptive Neural Network (LFLCTR-FCDMPNN) is designed for accurate gaze pattern identification through lesser time consumption. …”
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County Scale Ecological Security Pattern Construction Based on MCR Model by Chao Yunshu, Yan Yutong, Yan Sijia, Pan Hui, Wu Liyun

“…[Conclusion] According to the results of ecological source identification and corridor division, an ecological security pattern framework for Yongchun County was constructed, with source as the core, corridor as the network, and ecological nodes as the focus. …”
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Game and Application Purchasing Patterns on Steam using K-Means Algorithm by Salman Fauzan Fahri Aulia, Yana Aditia Gerhana, Eva Nurlatifah

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Toward the Reconstruction of Substorm‐Related Dynamical Pattern of the Radiowave Auroral Absorption by V. A. Sergeev, M. A. Shukhtina, N. A. Stepanov, D. D. Rogov, A. V. Nikolaev, E. Spanswick, E. Donovan, T. Raita, A. Kero

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Patterns of Use of Heated Tobacco Products: A Comprehensive Systematic Review by Marco Scala, Giulia Dallera, Giuseppe Gorini, Jérémie Achille, Anne Havermans, Clara Neto, Anna Odone, Luc Smits, Antonella Zambon, Alessandra Lugo, Silvano Gallus

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Exploring the performance of LBP-capsule networks with K-Means routing on complex images by Patrick Mensah Kwabena, Benjamin Asubam Weyori, Ayidzoe Abra Mighty

“…Capsule Networks (CapsNets) were proposed to mitigate the shortcomings of Convolutional Neural Networks (CNNs) such as invariance. …”
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Unequal relational travel patterns of long-distance rail trips between different levels of settlement hierarchies – Case study from Hungary by Vilmos Oszter, István Kövesdi, László Sipos

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The Dark Side of Social Media: Analysing Dark Pattern Combinations and Their Impacts by Hansika Ukgoda

“…This study explored dark patterns on social media networking sites (SNSs), focusing on two key questions: Do platforms use specific dark patterns in combination, and how do these combinations impact user interaction and experience? …”
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POI Recommendation Scheme Based on User Activity Patterns and Category Similarity by Jongtae Lim, Seoheui Lee, He Li, Kyoungsoo Bok, Jaesoo Yoo

“…The utilization of location-based social networks to provide point-of-interest (POI) recommendation services has been the subject of extensive research in recent years. …”
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Identifying systematic heterogeneity patterns in genetic association meta-analysis studies. by Lerato E Magosi, Anuj Goel, Jemma C Hopewell, Martin Farrall, CARDIoGRAMplusC4D Consortium

“…Q, I2) are not suited to identifying locus-specific from more systematic multi-locus or genome-wide patterns of heterogeneity. We have developed and evaluated an aggregate heterogeneity M statistic that combines between-study heterogeneity information across multiple genetic variants, to reveal systematic patterns of heterogeneity that elude conventional single variant analysis. …”
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<p><strong>Evaluation of geostatistical method and hybrid artificial neural network with imperialist competitive algorithm for predicting distribution pattern of <em>Tetranychus</em> <em>urticae</em> (Acari: Tetranychidae) in cucumber field of Behbahan, Iran</strong></p> by Alireza Shabaninejad, Bahram Tafaghodinia, Nooshin Zandi-Sohani

“…Pest density assessments were performed following a 10 × 10 m2 grid pattern on the field and a total of 100 sampling units on field. …”
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Decoding laying hen behavior and physiological status through acoustic biomarkers: temporal patterns, rooster-hen vocalization identification in group housing and environmental ada... by Xuanting Lin, Wanjun Zhu, Longshen Liu, Zhenlei Zhou

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An efficient method for predicting the morphology of proppant packs based on a surrogate model by Tao ZHANG, Hangyu ZHOU, Yifan ZHANG, Jianchun GUO, Haoran GOU, Tang TANG

“…Intelligent proxy models for the prediction of proppant placement patterns were established on the basis of the cascade neural network, including a time-concentration model for predicting particle volume fraction and a displacement-height model for predicting particle placement height. …”
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Land Use Transition and Regional Development Patterns Under Shared Socioeconomic Pathways: Evidence from Prefecture-Level Cities in China by Xiaodong Zhang, Mingjie Yang, Rui Guo, Yaolong Li, Fanglei Zhong

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Perceptions of spatial patterns of visitors in urban green spaces for the sustainability of smart city by Qi Liu, Li Hou, Sana Shaukat, Usman Tariq, Rabia Riaz, Sanam Shahla Rizvi

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Beam Coefficient Prediction for Antenna Arrays Using Physics-Aware Convolutional Neural Networks by Glendyn D. King, Md Asaduzzaman Towfiq, Ali C. Gurbuz, Bedri A. Cetiner

“…This work introduces a novel approach for predicting the complex element weights of a rectangular planar phased array for a desired beam pattern using physics-aware convolutional neural networks (PA-CNN). …”
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Comparison of seam network morphology in coal reservoirs under different fracturing scales: A case of Yanchuannan CBM Gas Field by LIU Xiao

“…However, the morphology of the resulting fracture networks varies significantly. Inefficient old wells subjected to multiple medium-scale fracturing develop a “rose-shaped” fracture network with primary and secondary fractures, whereas new wells exhibit a “long elliptical” fracture pattern. …”
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<strong>Hybrid neural network with genetic algorithms for predicting distribution pattern of <em>Tetranychus urticae</em> (Acari: Tetranychidae) in cucumbers field of Ramhormoz, Ir... by Alireza Shabaninejad, Bahram Tafaghodinia, Nooshin Zandi Sohani

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Physics-Informed Deep Neural Network for Low Sidelobe Time-Modulated Antenna Array Synthesis With Harmonic Suppression by Tarek Sallam, Qun Wang, Ahmed M. Attiya

“…This paper introduces an innovative approach utilizing a deep neural network (DNN) to optimize the modulation scheme for time-modulated antenna array (TMAA) to verify specific side lobe and maximum harmonics levels. …”
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