Financial risk forecasting with RGCT-prerisk: a relational graph and cross-temporal contrastive pretraining framework by Liyu Chen, Xiangwei Fan

“…This component enables the model to compare each firm’s financial state to learned prototypical risk patterns via an attention mechanism, while also producing a confidence score to quantify prediction uncertainty. …”
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Marinyo as a medium of traditional communication in the digital era: hybridization, opinion leadership, and cultural sustainability in Ambonese society by Rido Latuheru, Tuti Bahfiarti, Alem Febri Sonni

“…The study identifies two distinct hybridization patterns: a Divergent Hybridization Model, characterized by functional bifurcation between administrative-digital and ceremonial-traditional channels, and a Convergent Hybridization Model, marked by organic integration of traditional and digital elements. …”
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DeepSeek-AI-enhanced virtual reality training for mass casualty management: Leveraging machine learning for personalized instructional optimization. by Zhe Li, Lei Shi, Mingyu Pei, Wan Chen, Yutao Tang, Guozheng Qiu, Xibin Xu, Liwen Lyu

“…<h4>Objective</h4>This study aimed to evaluate the effectiveness of a virtual reality (VR) training system for mass casualty management, integrating artificial intelligence (AI) and machine learning (ML) to analyze trainee performance and error patterns. The goal was to identify key predictors of performance, generate personalized feedback, and provide actionable recommendations for optimizing VR-based medical training.…”
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Current Aspects of the Planning and Operating Corporate Info-Communication and CRM Systems by Henriette Fábián, Gábor Juhász

“…It can therefore be expected that technological changes will result in rapid transformations in our relationship management communication patterns, enabling the creation of a wider network of relationships.…”
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Employing Huber and TAP Losses to Improve Inter-SubNet in Speech Enhancement by Jeih-Weih Hung, Pin-Chen Huang, Li-Yin Li

“…Inter-SubNet is a single-channel speech enhancement framework that enhances the sub-band spectral model by integrating global spectral information, such as cross-band relationships and patterns. Despite the success of Inter-SubNet, one crucial aspect probably overlooked by Inter-SubNet is the unequal perceptual weighting of different spectral regions by the human ear, as it employs MSE as its loss function. …”
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Expression of matrix metalloproteinases 1, 2, 9, 12 in xenogenic tissues of epoxy-crosslinked bioprosthetic heart valves explanted due to dysfunction by A. E. Kostyunin, T. V. Glushkova

“…To study the expression patterns of matrix metalloproteinases (MMPs) -1, -2, -9, -12 in the leaflets of the epoxy-treated bioprostheses explanted due to dysfunction and to identify the pathways for the accumulation of these enzymes in the xenogenic tissues.Methods. 19 leaflets from seven epoxy-treated bioprostheses (Kemcor (n = 2), PeriCor (n = 2), UniLine (n = 2) and TiAra (n = 1)) explanted from the mitral or aortic positions during repeat heart valve replacements were included in a study. …”
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Design and Simulation of a Semi–Automatic Paver Block Making Machine. by Wamani, Samuel

“…The pedestrian streets and squares look more attractive when pavers of various patterns and hues are used. The goal of this project is to develop and build an automatic paver block production machine that can effectively and economically create high-quality paver blocks. …”
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One day you'll wake up and won't have to go to work: The impact of changes in time use on mental health following retirement. by Tim Olds, Nicola W Burton, Judy Sprod, Carol Maher, Katia Ferrar, Wendy J Brown, Jannique van Uffelen, Dorothea Dumuid

“…Time flow analytics were used to map patterns of change in time use from pre-retirement to post-retirement. …”
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Enhancing On-Device DNN Inference Performance With a Reduced Retention-Time MRAM-Based Memory Architecture by Munhyung Lee, Taehan Lee, Junwon Yeo, Hyukjun Lee

“…To achieve high performance, we propose two mapping schemes: intra-segment and inter-segment circular buffers, which dynamically map DNN activation data (i.e., virtual pages of streaming data) to physical pages in a circular fashion to exploit reuse patterns of DNN data. These circular buffers are mapped to the short retention-time MRAM partition as much as possible. …”
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Electrothermal Modeling of Photovoltaic Modules for the Detection of Hot-Spots Caused by Soiling by Peter Winkel, Jakob Smretschnig, Stefan Wilbert, Marc Röger, Florian Sutter, Niklas Blum, José Antonio Carballo, Aránzazu Fernandez, Maria del Carmen Alonso-García, Jesus Polo, Robert Pitz-Paal

“…Furthermore, the model is capable of predicting which soiling pattern can cause critical hot-spots.…”
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Ecological consequences of urbanization in Afrotropical bird communities: present and future prospects by Bello A. Danmallam, Bello A. Danmallam, Peggy M. Ngila, Peggy M. Ngila, Iniunam A. Iniunam, Iniunam A. Iniunam, Anthony Kuria, Talatu Tende, Samuel Ngugi, Peter Njoroge, Colin Jackson, Basil Okoth, Ulf Ottosson, Adams A. Chaskda, Rosie Trevelyan

“…Geospatial data, including the Global Human Settlement Layer and Human Modification Index (HMI), along with the probability of urban expansion up to 2030, were integrated to examine the impact of urbanization using Bayesian models.ResultsOur findings reveal a marked decline in taxonomic richness, diversity, and functional richness associated with increasing urbanization and human modification, with a similar pattern observed along the gradient from mostly uninhabited areas to cities. …”
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Study of hyperfine interactions in spinel cobalt ferrite CoFe2O4 doped with Hf, Lu, and Yb using Mössbauer spectroscopy and perturbed γ-γ angular correlation by Viktor M. Vakhtel, Atanas I. Velichkov, Dimitar V. Karaivanov, Maria M. Milanova, Yuri G. Segal, Nargiza Temerbulatova, Dmitry V. Filosofov, Martin P. Tsvetkov

“…According to the MS data, Hf and Lu do not lead to significant changes in the HFI parameters in the tetrahedral sites (“Sextet 1”), but have a significantly different effect on the same parameters in the octahedral sites (“Sextet 2”). A similar pattern was observed using the PAC method: replacing Hf with Lu did not reveal any changes in the HFI parameters in one of the sites (the octahedral site), but indicated a significant change in the other site …”
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SUBSET OF NANDA-I NURSING DIAGNOSES FOR INTENSIVE CARE: DELPHI TECHNIQUE AND FOCUS GROUP by Mirko Masciullo, Flavio Marti, Antonello Cocchieri, Lucia Mitello, Andrea Fidanza, Anna Rita Marucci

“…Some diagnoses, including "Compromised mobility in bed" and "Disturbed sleep pattern," were less commonly used in other ICUs, but were considered highly relevant by Delphi participants. …”
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Sequence and protein three-dimensional structure analysis of a novel inter-allelic recombination allele B*35∶186 of HLA-B locus by ZHANG Xu, LIN Fengqiu, LI Xiaofeng, LI Jianping

“…[Results] HLA typing indicated the PCR-SSOP pattern did not match with any known HLA-B alleles, suspected to be a new HLA allele. …”
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Research and Optimization of White Blood Cell Classification Methods Based on Deep Learning and Fourier Ptychographic Microscopy by Mingjing Li, Junshuai Wang, Shu Fang, Le Yang, Xinyang Liu, Haijiao Yun, Xiaoli Wang, Qingyu Du, Ziqing Han

“…The proposed method introduces four key innovations to enhance detection accuracy and model efficiency: (1) A novel Conv2Former (Convolutional Transformer) backbone was designed to combine the local pattern extraction capability of convolutional neural networks (CNNs) with the global contextual reasoning of transformers, thereby improving the expressiveness of feature representation. (2) The CARAFE (Content-Aware ReAssembly of Features) upsampling operator was adopted to replace conventional interpolation methods, thereby enhancing the spatial resolution and semantic richness of feature maps. (3) An Efficient Multi-scale Attention (EMA) module was introduced to refine multi-scale feature fusion, enabling the model to better focus on spatially relevant features critical for WBC classification. (4) Soft-NMS (Soft Non-Maximum Suppression) was used instead of traditional NMS to better preserve true positives in densely packed or overlapping cell scenarios, thereby reducing false positives and false negatives. …”
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Synergistic effect of mulch and nitrogen management on growth and essential oil yield of Salvia sclarea L. by Diksha Dhiman, Sakshi Vishvamitera, Sidharth Baghla, Sanatsujat Singh, Dinesh Kumar, Ashok Kumar, Ramesh Chauhan

“…The heat map displayed an inconsistent pattern of the treatment combination’s impact on EO components. …”
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Similarity Criterion Based on the Analytical Solution of Heat Conduction Equation in Frozen Soil by BO Yin, WANG Cong, FENG Yan-fang, ZHANG Bin, ZHANG Ying, GUO Xiao-gang, YAO Jin-song, WEI Lai, CHEN Rong, XU Chen

“…[Objective] The evolution pattern of temperature field in frozen walls serves as a key factor in optimizing design schemes during artificial ground freezing. …”
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Interferometric Radar Satellite and In‐Situ Well Time‐Series Reveal Groundwater Extraction Rate Changes in Urban and Rural Afghanistan by N. Kakar, S. Metzger, T. Schöne, M. Motagh, H. Waizy, N. A. Nasrat, M. Lazecký, F. Amelung, B. Bookhagen

“…In Kabul, we compare spatiotemporal subsidence patterns to water table heights and precipitation amounts. …”
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Seismic fault identification of deep fault-karst carbonate reservoir using transfer learning by Hanqing Wang, Han Wang, Kunyan Liu, Jin Meng, Yitian Xiao, Yanghua Wang

“…The proposed methodology began with the generation of a large volume of synthetic seismic samples based on statistical fault distribution patterns observed in the study area. These synthetic samples were used to pretrain an improved U-Net network architecture, enhanced with an attention mechanism, to create a robust pretrained model. …”
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Component-resolved Diagnostics in Allergy Practice Focusing on Food Allergy: A Systematic Review by Shambo S Samajdar, Shatavisa Mukherjee, Sourya Ghosh, Santanu Munshi, Santanu K Tripathi, Saibal Moitra, Pudupakkam Vedanthan

“…Component-resolved diagnostics also helps in stratifying the clinical risk associated with sensitization patterns and predicting OFC outcomes. However, CRD cannot replace the OFC as the gold standard due to insufficient sensitivity and specificity levels. …”
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