Early Detection of Slight Bruises in Yellow Peaches (<i>Amygdalus persica</i>) Using Multispectral Structured-Illumination Reflectance Imaging and an Improved Ostu Method by Jian Wu, Chenlin Liu, Aiguo Ouyang, Bin Li, Nan Chen, Jing Wang, Yande Liu

“…A spatial frequency of 0.10 cycle <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msup><mo>mm</mo><mrow><mo>−</mo><mn>1</mn></mrow></msup></semantics></math></inline-formula> and wavelength of 700 nm were determined to be optimal for acquiring pattern images based on the analysis of the pixel intensity curve of the AC image; then, the pattern images of all yellow peaches samples were obtained. …”
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Bifurcation analysis of multistability and hysteresis in a model of HIV infection by I. V. Mironov, M. Yu. Khristichenk, Yu. M. Nechepurenko, D. S. Grebennikov, G. A. Bocharov

“…The model describes the most important blocks of the processes of interaction between viruses and the human body, namely, the spread of infection in productively and latently infected cells, the appearance of viral mutants and the development of the T cell immune response. Furthermore, our analysis aims to study the possibilities of transferring the clinical pattern of the disease from a more severe state to a milder one. …”
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Experimental and discrete element method study on the mechanical properties of hole-fracture sandstone by Peijie Lou, Peijie Lou, Peijie Lou, Peijie Lou, Lichen Sun, Cheng Pan, Penghui Ji, Huan Liu

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The potential of agroforestry to reduce atmospheric greenhouse gases in Canada: Insight from pairwise comparisons with traditional agriculture, data gaps and future research by Mark Baah-Acheamfour, Scott X. Chang, Edward W. Bork, Cameron N. Carlyle

“…However, additional research is required to verify this pattern across geographic regions, determine the regional potential for development of agroforestry systems, and assess the potential atmospheric GHG reduction at regional and national scales.…”
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Spatial–temporal evolution and associated factors of older adult care institutions in Shanghai by Xingxing Yin, Jinghang Cui, Yifan Wu, Mingxuan Cui, Kun Li, Haoxiang Guo

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Incorporating edge convolution and correlative self-attention into graph neural network for material properties prediction by Zexi Yang, Qi Yu, Yapeng Zhan, Jiying Liu

“…Indeed, even the periodic patterns of the crystal structures are not seriously considered. …”
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Long-Term Spatiotemporal Information Extraction of Cultivated Land in the Nomadic Area: A Case Study of the Selenge River Basin by Yifei Sun, Juanle Wang, Kai Li, Sonomdagva Chonokhuu

“…This study integrated remote sensing technology with machine learning methodologies to develop an automated extraction process based on spectral, textural, and topographical features. …”
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Retrospective multidisciplinary analysis of human alveolar echinococcosis in Hungary using spatial epidemiology approaches by Eszter Csulak, Ágnes Csivincsik, Tamás Sréter, Norbert Solymosi, József Danka, Zsolt Káposztás, Gábor Nagy, Balázs Dezsényi

“…We investigated the spatial pattern and the impact of potential risk factors of HAE by cluster analysis, and local and global regression models. …”
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Viral diseases of fruit and berry crops in the South of the Russian Far East by Yu. G. Volkov, N. N. Kakareka, V. F. Tolkach, M. Yu. Shchelkanov

“…The peculiar climatic features of the Far East limit the range of garden and berry crops. …”
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Trend prediction and influencing factors of the production comparative advantage of China's main apple-producing provinces. by Wenping Ning, Fuhong Zhang, Meiling Zhang

“…Spatially, APCA shows a distribution pattern of "west high, east low". 2) APCA mainly shifted sequentially between neighbouring ranks. …”
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Towards decoding motor imagery from EEG signal using optimized back propagation neural network with honey badger algorithm by Zainab Hadi-Saleh, Mohammad Mosleh, Mohamed Adel Al-Shahe, Mahdi Mosleh

“…To address these limitations, this article presents a new approach to classify MI from EEG signals with the help of synergistic Hilbert-Huang Transform(HHT) as pre-processing, Permutation Conditional Mutual Information Common Space Pattern (PCMICSP) as features and optimized back propagation neural network(BPNN) based on Honey Badger Algorithm(HBA) as classifier. …”
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Brain Computer Interface using Genetic Algorithm with modified Genome and Phenotype Structures by Rohtash Dhiman, A Anshul

“…., are peeling off new paradigms for pattern recognition in human brain-machine interaction applications. …”
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Industrialization and its Impact on Sweeping the Authority of Traditional Forms in Architecture (Study on human needs) by Basim Hasan Al-Majidi, Sara Raed Majeed, Nairy Mugardich Krikor

“… Abstract: Mankind is currently living in the age of industrialization and development in all its forms and manifestations because of its effects in all everyday life. …”
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Erodabilidad y erosión hídrica potencial en un sector de la cuenca del rio Otún - Colombia by Madero Morales Edgar Enrique, Bergsma Eelco

“…To predict the advance of rill and interril erosion in bare soil, Bergsma (1989) developed a semicuantitative system with this purpose, and what is related to the presence and frequency of six microtopography soil surface features after each rain and at the end of tillage: original clods, eroding clods, depressional areas, linear flow pattern of shallow channels and deeper rills, and coverage (vegetation, gravel, etc.); each feature has a length less than 25 cm. …”
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A hybrid deep learning model EfficientNet with GRU for breast cancer detection from histopathology images by M. Pradeepa, B. Sharmila, M. Nirmala

“…This study aims to develop a high-performance deep learning framework for accurate classification of breast cancer in histopathology images, addressing limitations in feature extraction and spatial dependency modeling. …”
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Integration of geospatial techniques and machine learning in land parcel prediction by Nekkanti Haripavan, Subhashish Dey, Chimakurthi Harika Mani Chandana

“…By harnessing the temporal and spectral information captured by Earth observation satellites, we aim to identify patterns and trends in land parcel changes. These insights are used to train and fine-tune our machine learning models, which will subsequently forecast future land parcel developments. …”
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SHIFA: SBERT-Based Healthcare Information Focused Arabic Question Answering by Rahaf Alruwaithi, Sarah AlHumoud

“…The idea behind this research is to use the SBERT method for entities and context patterns to effectively capture the semantics between QA pairs in two different ways: the feature extractor and the transfer learning model. …”
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Potential of EnMAP Hyperspectral Imagery for Regional-Scale Soil Organic Matter Mapping by Yassine Bouslihim, Abdelkrim Bouasria

“…Partial Least Squares Regression (PLSR) models were developed under different pre-treatment scenarios. …”
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ADA-NAF: Semi-Supervised Anomaly Detection Based on the Neural Attention Forest by Andrey Ageev, Andrei Konstantinov, Lev Utkin

“…First, a proposed end-to-end training methodology over normal data minimizes the reconstruction errors while learning and optimizing neural attention weights to focus on hidden features. Second, a novel encoding mechanism leverages NAF’s hierarchical structure to capture complex data patterns. …”
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Atypical presentation of ewing's sarcoma by Veenita Yogi, Haridas P Mani, Om Prakash Singh, Hameeduzzafar Ghori

“…This study depicts presentations of ES who either presented with some unusuality at the time of diagnosis or developed peculiar features uncharacteristic of ES during their course of treatment. …”
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