Cognitive difference text classification in online knowledge collaboration based on SA-BiLSTM hybrid model by Fengjun Liu, Na Zhao, Guoqing Zhu

“…However, accurate extraction of semantic features and contextual patterns from such texts remains challenging in multi-dimensional discourse contexts. …”
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Pharmacophore modeling and QSAR analysis of anti-HBV flavonols. by Basireh Baei, Parnia Askari, Fatemeh Sana Askari, Seyed Jalal Kiani, Alireza Mohebbi

“…A QSAR equation was developed and validated with independent sets of compounds. …”
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The Spatial Analysis for Bassia eriophora (Schrad.) Asch. Plant Distributed in all IRAQ by Using RS & GIS Techniques by Al Ramahi et al.

“…This data contains only the address (place of germination), this information (addresses) was detected, identified and covered for all areas sampled by the techniques of satellite imagery and images taken from the air and some data records where the main features of these areas.…”
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Representation theory of solitons by Clay Córdova, Nicholas Holfester, Kantaro Ohmori

“…We develop a representation theory that captures these intriguing features of solitons. …”
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Vehicle speed influence on exhaust system surface temperature by M. G. Boiarshinov, N. I. Kuznetsov

“…The analysis of the peculiarities of the change in the temperature of the exhaust system during the movement of the vehicle in conditions of low ambient temperature is carried out. The established patterns can be used to obtain information on the processes of condensate accumulation in the exhaust system and are aimed at predicting the amount of condensate accumulation in the exhaust system; to develop new solutions to ensure reliable operation of the exhaust system.…”
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Habitat composition near linear landscape structures across Poland: perspectives on pollinator conservation by Emilia Marjańska, Dawid Moroń

“…Highway verges exhibited the highest landscape diversity, while railways and levees showed more similar patterns to each other. Our study revelated that land cover changes occur unidirectionally at the studied scales, suggesting consistent habitat transitions around these linear features. …”
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Phonological processes in English connected speech: implications for L2 speech learning and communication by Sonthaya Rattanasak

“…Phonological processes, which encompass changes in sound patterns, can take place in both first (L1) and second language (L2) acquisition. …”
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Widespread misidentification of scanning electron microscope instruments in the peer-reviewed materials science and engineering literature. by Reese A K Richardson, Jeonghyun Moon, Spencer S Hong, Luís A Nunes Amaral

“…Unexplained patterns common to many of these articles suggest the involvement of paper mills, organizations that mass-produce, sell authorship on, and publish fraudulent scientific manuscripts at scale.…”
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Experimental and computational investigation of tensile and flexural properties of polylactic acid filled with boron nitride nanoplatelets by Harishbabu Sundarasetty, Santosh Kumar Sahu

“…This integrated approach underscores the efficacy of BNNP fillers in enhancing the mechanical attributes of PLA, yielding significant perspectives for developing eco-friendly composite materials exhibiting superior performance features.…”
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An Explainable Machine Learning Model for Predicting Macroseismic Intensity for Emergency Management by Federico Mori, Giuseppe Naso

“…Predicting macroseismic intensity from instrumental ground motion parameters remains a complex task due to the nonlinear relationship with observed damage patterns. An explainable machine learning model based on the XGBoost algorithm was developed to address the challenge. …”
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Effective Urban Region Representation Learning Using Heterogeneous Urban Graph Attention Network (HUGAT) by Namwoo Kim, Yoonjin Yoon

“…Objective: This study aims to develop a model that effectively represents urban regions by incorporating both spatial features and human activity patterns, in order to better understand and predict urban dynamics. …”
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Decoding and generating synergy-based hand movements using electroencephalography during motor execution and motor imagery by Dingyi Pei, Ramana Vinjamuri

“…Motor imagery (MI) is a key tool for developing BMIs, particularly for individuals with impaired limb function. …”
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Factors Influencing Consumer Decisions, Taking into Account Modern Trends and Challenges by Nikiforov Andrii A., Portna Oksana V.

“…The article is aimed at determining the modern factors influencing the choice of consumers, consumer decisions, taking into account both the developed approaches and the latest trends and challenges; systematization of factors. …”
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Epizootic situation on sheep pox and goat pox in Tajikistan in 2000–2021 by R. Atovullozoda

“…Based on systemic epidemiological analysis of the structure and dynamics of nosoareals, as well as risk assessment of sheep pox and goat pox entry, emergence and distribution, monitoring and establishment of infected and endemic zones, the features and patterns of distribution and occurrence of these diseases’ epizootic process were defined, which confirms the need for a systematic approach to epidemiological surveillance of highly dangerous and economically significant infectious diseases having a trend for transboundary spread, which will facilitate the solution of the problem regarding identification of possible threats and the implementation of veterinary and sanitary measures in case of disease occurrence in the territory of any country to ensure animal disease freedom.…”
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Deep Learning-Assisted Discovery of Analogy-Inspired Designs within Peter Collins' Analogical Architectural Design Classification Framework by Hüseyin Özdemir

“…Despite the complexity of architectural images indicated by the 86% accuracy rate on test data, the study emphasizes the model's capacity to achieve accuracy above 95% when confronted with distinct architectural features. In this case, the model allows designers to discover which analogical classification the architectural work to be tested is designed according to, allowing them to develop creative solutions to new design problems. …”
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Lactylation-related risk model for prognostication and therapeutic responsiveness in uterine corpus endometrial carcinoma by Yupeng Yin, Min Luo

“…Methods We analyzed transcriptomic data from The Cancer Genome Atlas (TCGA) for UCEC patients and identified two distinct lactylation-related patterns using consensus clustering. A risk model developed using Cox and Lasso regression has been studied for its ability to predict prognosis, immune cell infiltration, and treatment response. …”
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Segmentation of Endothelial Cell Boundaries of Rabbit Aortic Images Using a Machine Learning Approach by Saadia Iftikhar, Andrew R. Bond, Asim I. Wagan, Peter D. Weinberg, Anil A. Bharath

“…To achieve this, a segmentation technique was developed, which relies on a rich feature space to describe the spatial neighbourhood of each pixel and employs a Support Vector Machine (SVM) as a classifier. …”
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The precipitous decline of a gray fox population by Max R. Larreur, Clayton K. Nielsen, Damon B. Lesmeister, Guillaume Bastille-Rousseau

“…We then developed three predictive occupancy models that allowed comparison of gray fox spatial patterns and occupancy estimates over time. …”
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A data driven framework for optimizing droplet microfluidics with residual block and Fourier enhanced networks by Alireza Samari, Kamal Jannati, Azadeh Jafari

“…Droplet formation dynamics within a co-flow microfluidic device were simulated using the Lattice Boltzmann method, generating a comprehensive dataset of 658 cases across both dripping and jetting regimes. We developed two innovative machine learning models: the Fourier-Enhanced Network (FEN), which utilizes Fourier series to decompose input features into harmonic components; and the Residual Block Network (ResBNet), which incorporates skip connections within residual layers to capture complex nonlinear patterns. …”
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Scenarios of change in Iranian family lifestyle with emphasis on mapping new communication technologies from the perspective of experts by Bahareh Nasiri

“…From the experts' point of view, 4 scenarios: eclectic media family, stable media family, unstable media family and chaotic media family were developed and the main features of each scenario were presented.…”
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