Identification of Inequities in Green Visibility and Ways to Increase Greenery in Neighborhoods: A Case Study of Wuhan, China by Xiaohua Guo, Chang Liu, Shibo Bi, Yuling Tang

“…The rapid increase in urban population density driven by urban development has intensified inequity in urban green space distribution. …”
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Personalized prediction of negative affect in individuals with serious mental illness followed using long-term multimodal mobile phenotyping by Christian A. Webb, Boyu Ren, Habiballah Rahimi-Eichi, Bryce W. Gillis, Yoonho Chung, Justin T. Baker

“…Abstract Heightened negative affect is a core feature of serious mental illness. Over 90% of American adults own a smartphone, equipped with an array of sensors which can continuously and unobtrusively measure behaviors (e.g., activity levels, location, and phone usage patterns) which may predict increases in negative affect in real-time in individuals’ daily lives. …”
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Smart indoor monitoring for disabled individuals using an ensemble of deep learning models in an IoT environment by Faisal S. Alsubaei, Abdulrahman A. Alshdadi, Mohammed Rizwanullah

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A sustainability trilogy approach for drought risk prevention: Case study in Indonesia by Ramli Akhmad, Sumarmi Sumarmi, I. Komang Astina, Satti Wagistina

“…Drought presents a major challenge to agriculture and rural livelihoods, particularly in countries like Indonesia, which feature diverse topography and unpredictable rainfall patterns. …”
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Hybrid GIS-Transformer Approach for Forecasting Sentinel-1 Displacement Time Series by Lama Moualla, Alessio Rucci, Giampiero Naletto, Nantheera Anantrasirichai, Vania Da Deppo

“…This study presents a deep learning-based approach for forecasting Sentinel-1 displacement time series, with particular attention to irregular temporal patterns—an aspect often overlooked in previous works. …”
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Geografia dell’automazione industriale. L’impatto dell’uso dei robot sulle localizzazioni manifatturiere by Lucia Simonetti

“…Robotics seems to be able to slow down (at least in some industrial sectors) the pace of offshoring, but it does not seem to be able to lead to the reshoring of activities to developed economies. And while labour-cost differentials still remain a key feature in firms’ decisions of where to locate manufactures, especially of goods with a high labour content, demand factors, such as the size and growth of local markets, are progressively becoming major determinants.…”
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La topographie selon Ruskin : saillance du visible et du lisible dans Modern Painters by Laurence Roussillon-Constanty

“…As contemporary critics have shown, John Ruskin’s lifelong interest in geology not only provided him with a unique understanding of the mountain as a painting subject but also allowed him to develop an idiosyncratic theory of perception where movement and salience prevail – a theory he then applied to his often memorable prose.At first sight, salience is one feature of landscape that one can easily visually apprehend but much less easily account for in prose writing. …”
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Of Ruskinian Topography: Visible and Legible Salience in Modern Painters by Laurence Roussillon-Constanty

“…However, recent research in linguistics may offer a new model for investigations and the means to identify recurrent patterns serving to highlight the transaction from the visual to the verbal and better qualify the writer’s “word painting”. …”
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NeXtMD: a new generation of machine learning and deep learning stacked hybrid framework for accurate identification of anti-inflammatory peptides by Chengzhi Xie, Yijie Wei, Xinwei Luo, Huan Yang, Hongyan Lai, Fuying Dao, Juan Feng, Hao Lv

“…NeXtMD systematically extracts four functionally relevant sequence-derived descriptors—residue composition, inter-residue correlation, physicochemical properties, and sequence patterns—and utilizes a two-stage prediction strategy. …”
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Acute Liver Injury Is Independent of B Cells or Immunoglobulin M. by James A Richards, Martina Bucsaiova, Emily E Hesketh, Chiara Ventre, Neil C Henderson, Kenneth Simpson, Christopher O C Bellamy, Sarah E M Howie, Stephen M Anderton, Jeremy Hughes, Stephen J Wigmore

“…<h4>Background & aims</h4>Acute liver injury is a clinically important pathology and results in the release of Danger Associated Molecular Patterns, which initiate an immune response. Withdrawal of the injurious agent and curtailing any pathogenic secondary immune response may allow spontaneous resolution of injury. …”
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Baselining Urban Ecosystems from Sentinel Species: Fitness, Flows, and Sinks by Matteo Convertino, Yuhan Wu, Hui Dong

“…Interestingly, a U-shape pattern is found between abundance and diversity, similar to the one in natural ecosystems. …”
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A Noise-Robust Deep-Learning Framework for Weld-Defect Detection in Magnetic Flux Leakage Systems by Junlin Yang, Senxiang Lu

“…To address the above challenges, this paper introduces a novel noise-robust deep-learning framework to remove the noise component in the original signal and learn its noise-invariant feature representation. This can handle the unseen noise pattern and mitigate the impact of dynamic noises on MFL inspection systems. …”
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Effects of seeding rates and nitrogen fertilizer managements on photosynthetic productivity and nitrogen utilization in direct-seeded rice by Jiang Mingjin, Ma Jun, Sun Yongjian, Yan Fengjun, Xu Hui, Yang Zhiyuan, Sun Jiawei

“…Due to the climatic feature of low light, small temperature difference and high humidity, transplanting rice was the major pattern in rice production in Sichuan Basin. …”
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Ecological portraits: Mapping functional spectra and space characteristics of birds in China by Fei Duan, Ming Gao, Shuyi Zhu, Xiaoli Shen, Sheng Li

“…The results showed that birds in China exhibited a clustered distribution pattern within the functional spectra and spaces. …”
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Deep-CABPred: Deep learning model for predicting functional chlorophyll a-b binding proteins in trait-based plant ecology using hybrid embedding with semi-normalized temporal convo... by Farman Ali, Raed Alsini, Tamim Alkhalifah, Fahad Alturise, Wajdi Alghamdi, Majdi Khalid

“…Our approach leverages a combination of advanced feature embedding techniques. We extract multi-source protein information from primary sequences, employing FastText for discriminative subword-level patterns and ProtBERT (a protein large language model) for contextualized sequential features. …”
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Enhancing prediction of crop yield and soil health assessment for sustainable agriculture using machine learning approach by Kapil Netaji Vhatkar, Shweta Ashish Koparde, Sonali Kothari, Jayesh Sarwade, Kishor Sakur

“…Back-propagation Neural Network (BPNN) is an SL algorithm applied for predicting complex patterns, especially in crop yield and soil health assessments. …”
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Forecasting Temperature Time Series Data Using Combined Statistical and Deep Learning Methods: A Case Study of Nairobi County Daily Temperature by John Kamwele Mutinda, Amos Kipkorir Langat, Samuel Musili Mwalili

“…In addition, the high R-squared value of 0.779234 indicates that approximately 77.92% of the variance in the observed data is explained by the model, showcasing its robustness and effectiveness in capturing the underlying patterns in temperature time series data. Overall, this study underscores the importance of VMD in preprocessing data to enhance feature representation and forecasting accuracy. …”
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Surface Damage Detection in Hydraulic Structures from UAV Images Using Lightweight Neural Networks by Feng Han, Chongshi Gu

“…The developed DL-based model integrates an enhanced Fast-SCNN backbone for efficient feature extraction, a Lightweight Feature Pyramid Attention (LFPA) module for multi-scale context enhancement, and an Edge Attention Module (EAM) for refined boundary localization. …”
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Evaluating and Optimizing MySejahtera App Analytics for Sustainable Digital Government Services by Adawiyah Ashar, Nur Fazidah Elias, Ruzzakiah Jenal, Meng Chun Lam, Maheshwara Rao Appannan, Siti Aishah Iskandar

“…This study undertakes a comprehensive evaluation of MySejahtera through the meticulous analysis of application analytics and user feedback, aiming to assess its operational efficacy, patterns of user engagement, and performance indicators. …”
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Comparative Study of Rheological Properties of Gels and Creams on Different Carrier Bases by U. V. Nogaeva, A. A. Naumova, A. G. Novinkov, E. V. Flisyuk, M. A. Burakova, A. N. Shikov, O. N. Abrosimova

“…Study of the main rheological parameters of the developed gels and creams on various carrier bases.Materials and methods. …”
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