Hierarchical Stratification for Spatial Sampling and Digital Mapping of Soil Attributes by Derlei D. Melo, Isabella A. Cunha, Lucas R. Amaral

“…This study assessed whether stratifying agricultural areas into macro- and micro-variability regions allows targeted sampling to better capture soil attribute variability, thus improving digital soil maps compared to regular grid sampling. …”
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Trench MOS Schottky Diodes: A Physics-Based Analytical Model Approach to Charge Sharing by Mohammed Tanvir Quddus, Alvaro D. Latorre-Rey, Zeinab Ramezani, Mihir Mudholkar

“…Our model leverages the concept of shared charge between the Schottky and MOS junctions, capturing how electric field distribution is altered in response to trench geometry and bias conditions. …”
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Creating Intangible Value through a Corporate Employee Portal by David Mendes, Jorge Gomes, Mário Romao

“…SM and Benefits Dependency Network (BDN) were combined, resulting in a suitable framework to help organizations enhance their knowledge, mitigating the risk of investment failure or misuse, and a timely contribution to capture more value from investments in intangible assets. …”
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Approaching maximum resolution in structured illumination microscopy via accurate noise modeling by Ayush Saurabh, Peter T. Brown, J. Shepard Bryan IV, Zachary R. Fox, Rory Kruithoff, Cristopher Thompson, Comert Kural, Douglas P. Shepherd, Steve Pressé

“…Abstract Biological images captured by microscopes are characterized by heterogeneous signal-to-noise ratios (SNRs) due to spatially varying photon emission across the field of view convoluted with camera noise. …”
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Fuzzy Enhanced Kidney Tumor Detection: Integrating Machine Learning Operations for a Fusion of Twin Transferable Network and Weighted Ensemble Machine Learning Classifier by Ananya Ghosh, Jyotismita Chaki

“…Two pre-trained deep convolutional neural networks (PT-DCNNs), DenseNet121 and ResNet101, are used to extract features from the enhanced CT images. These features capture essential characteristics that differentiate between normal and tumor-containing scans. …”
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Perceptions of cultural and provisioning ecosystem services and human wellbeing indicators amongst indigenous communities neighbouring the greater limpopo transfrontier conservatio... by N.A. Nyathi, W. Musakwa, D.M. Azilagbetor, N.J. Kuhn

“…Respondents were asked about the availability of ESs, their levels of degradation, drivers of change, and the impact on their wellbeing. Responses were captured using Likert scales, and multiple regression models analysed the relationships between socio-demographic characteristics and ESs. …”
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Image inpainting forensics method based on dual branch network by Dengyong ZHANG, Huang WEN, Feng LI, Peng CAO, Lingyun XIANG, Gaobo YANG, Xiangling DING

“…Image inpainting is a technique that uses information from known areas of an image to repair missing or damaged areas of the image.Image editing software based on it has made it easy to edit and modify the content of digital images without any specialized foundation.When image inpainting techniques are used to maliciously remove the content of an image, it will cause confidence crisis on the real image.Current researches in image inpainting forensics can only effectively detect a certain type of image inpainting.To address this problem, a passive forensic method for image inpainting was proposed, which is based on a two-branch network.The high-pass filtered convolutional network in the dual branch first used a set of high-pass filters to attenuate the low-frequency components in the image.Then features were extracted using four residual blocks, and two transposed convolutions were performed with 4x up-sampling to zoom in on the feature map.And thereafter a 5×5 convolution was used to attenuate the tessellation artifacts from the transposed convolutions to generate a discriminative feature map on the high-frequency components of the image.The dual-attention feature fusion branch in the dual branch first added a local binary pattern feature map to the image using a preprocessing block.Then the dual-attention convolution block was used to adaptively integrate the image’s local features and global dependencies to capture the differences in content and texture between the inpainted and pristine regions of the image.Additionally, the features extracted from the dual-attention convolution block were fused, and the feature maps were up-sampled identically to generate the discriminative image content and texture on the feature maps.The extensive experimental results show the proposed method improved the F1 score by 2.05% and the Intersection over Union(IoU) by 3.53% for the exemplar-based method and by 1.06% and 1.22% for the deep-learning-based method in detecting the inpainted region of the removed object.Visualization of the results shows that the edges of the removed objects can be accurately located on the detected inpainted area.…”
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The Republics of the Southern Caucasus on their way to the ‘Socialist federation’ (1917–1922) by L. S. Gatagova

“…The author pays special attention to the process of Sovietization: in the Soviet historiography it was portrayed as a triumphal march of Soviet rule, but, as recent researches has shown, the Bolsheviks actually did not have a clear and consistent plan for the Sovietization of the Transcaucasian republics and the process was accompanied by dramatic events and conflicts. …”
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The Optimal Timing of Strategic Action – A Real Options Approach by Gordon G. Sollars, Sorin Tuluca

“…The strategic management literature reflects ambiguity regarding the likelihood that a first mover can or will capture additional value. This paper uses a real options approach to address the optimal timing of strategic moves. …”
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The Nexus Between Talent Management Attention and Artificial Intelligence: Evidence from Companies Operating Within the AI Domain

“…A nonparametric causality-in-quantiles test is applied to capture the asymmetric and heterogeneous effects of TM attention on stock returns across different market conditions, ranging from bearish to bullish scenarios. …”
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Population biology of European hake (Merluccius merluccius, Linnaeus, 1758) in Greece by Alexandros Theocharis, Maria Vlachou, Alexis Conides, Dimitris Klaoudatos

“…Length with 50% probability of capture (LC50) was estimated at 17.7 cm, with the respective age (t50) of 1.2 years. …”
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Enhancing cancer care through a knowledge-sharing model: a systematic review of Project ECHO® programmes in India by Sangeeta Bhuyan, Shikha Yadav, Amit Verma, Shama Bhati, Ankit Anand, Sandeep Bhalla, Apoorva Karan Rai

“…The systematic review highlights the need for more publications to capture ECHO’s impact comprehensively. The findings contribute valuable insights to ongoing efforts to reduce India’s cancer burden and improve the well-being of its population.…”
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Sensitivity and identifiability analysis of COVID-19 pandemic models by O. I. Krivorotko, S. I. Kabanikhin, M. I. Sosnovskaya, D. V. Andornaya

“…A more detailed agent-oriented model has been able to capture statistical data with additional noise to build scenarios of COVID-19 spread in the region.…”
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Nematode controlling effects and safety tests of Duddingtonia flagrans biological preparation in sheep by Yuan Ma, Lili Jiang, Zhaobin Fan, Luyao Hao, Zhengyi Li, Yanni Zhang, Qiannan Li, Rui Wang, Hongliang Luo

“…After oral ingestion and passage through the digestive tract of animals, this microorganism captures nematodes in feces. Although many researchers have examined the safety of this fungus for humans, animals, and the environment, few reports have discussed the safety of nematode-trapping D. flagrans biologics for animals. …”
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Influence of Messa di Voce speed on vocal stability of untrained, healthy subjects. by Jonas Kirsch, Marie Köberlein, Michael Döllinger, Matthias Echternach

“…Throughout phonation, synchronous recordings were captured through high-speed videolaryngoscopy (HSV), electroglottography, and audio signals. …”
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A novel sustainable biocide against the fruit fly Drosophila suzukii made from orange peels by Giovanni Davide Barone, Manfred Hartbauer

“…Our results showed a higher number of captured flies in Petri dishes containing OPP compared to those with the hydrogel control. …”
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Lipid-lowering drug targets and lung related diseases: a Mendelian randomization study by Haifeng Yu, Xiaofei Zhang, Bian Wen, Shuo Hu, Bin Ni

“…We conducted drug-targeted Mendelian randomization and utilized a range of outcomes to capture evidence of adverse side effects related to the inhibition of the gene. …”
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Enhancing learner motivation by adapting strategies from the ARCS model: experience from Chinese online course design and teaching by Song Chenqing, Kao Qifei

“…., increasing variations in course material layout to capture students’ interest and providing real-time, encouraging feedback to enhance students’ beliefs in their competence. …”
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Acute Respiratory Infection (ARI) in children in Ethnic Minority Communities of Chittagong Hill Tracts, Bangladesh: A qualitative study by Maidul Alam Chaklader

“…Despite the widespread tendency to consider folk beliefs in binary opposition to biomedical causes, findings from this study show that both consider proximate and underlying factors related to childhood ARI and many of these underlying factors that render children more susceptible to ARI are actually common to both models. Treatment-seeking behaviour is a complex process represented by shifting interpretations of the illness and treatment options and constrained by poverty and other structural factors that set the context in which study participants operate on a daily basis. …”
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Short‐Term Memory and Regional Climate Drive City‐Scale Water Demand in the Contiguous US by Wenjin Hao, Andrea Cominola, Andrea Castelletti

“…Climatic variables, particularly vapor pressure deficit and temperature, also stand out as primary determinants across all regions, and more evidently in Arid regions as they capture aridity and drought conditions. Our model achieves an average R2 higher than 0.8 for one‐month‐ahead prediction of water demand across various cities, leveraging the Granger causal relationships in different spatial contexts. …”
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