A systematic review of machine learning and deep learning approaches in plant species detection by Deepti Barhate, Sunil Pathak, Bhupesh Kumar Singh, Amit Jain, Ashutosh Kumar Dubey

“…Many researchers have expressed their interest in developing automated plant species recognition techniques by analyzing various issues, such as expertise, complex venation structure, interclass and intraclass similarity, occluded leaves, problems with feature extraction of premature and dried leaves, etc. …”
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Joint event extraction model based on dynamic attention matching and graph attention networks by Jiajun Cheng, Wenjie Liu, Zhifan Wang, Zhijie Ren, Xingwen Li

“…Specifically, the dynamic attention matching mechanism is employed to identify event nodes that contain text event structure features and to integrate event structure knowledge for constructing event pattern subgraph that correspond to the text, thereby resolving the problem of ambiguous and unknown trigger word classification. …”
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Improved immersed boundary/wall modeling method for RANS solver coupled with wall functions: application to Cartesian grid systems by Xueying Yu, David R. Fuhrman, Yanlin Shao

“…Another distinguishing feature of this turbulent-flow solver is that it employs the highly accurate immersed-boundary generalized harmonic polynomial cell (IB-GHPC) method to solve the Poisson equation for fluid pressure. …”
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Transportation Mode Detection Using Learning Methods and Self-Contained Sensors: Review by Ilhem Gharbi, Fadoua Taia-Alaoui, Hassen Fourati, Nicolas Vuillerme, Zebo Zhou

“…Compared to these works, the proposed review provides some novelties such as an in-depth analysis of the current state-of-the-art techniques in TMD systems, relying on recent references and focusing particularly on the major existing problems, and an evaluation of existing methodologies for detecting travel modes using smartphone IMUs (including dataset structures, sensor data types, feature extraction, etc.). …”
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Bioprinting of a multi-composition array to mimic intra-tumor heterogeneity of glioblastoma for drug evaluation by Gihyun Lee, Soo Jee Kim, Yejin Choi, Jongho Park, Je-Kyun Park

“…As printing time increases, the extruded bioink spreads and evaporates, leading to technical problems that decrease printing resolution and stability, as well as biological problems that affect 3D culture space and cell viability. …”
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Deciding Together as Faculty: Narratives of Unanticipated Consequences in Gendered and Racialized Departmental Service, Promotion, and Voting by Smith-Doerr Laurel, Mickey Ethel L., Kane-Lee Ember Skye W.

“…Workplace inequalities scholarship often assumes making people aware of problems will lead to change, although gendered and racialized organizations theories show systemic problems beyond individual awareness. …”
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Double periodicity of mechanical properties of a thin ice field formed under conditions of lateral constraint by V. P. Epifanov, S. A. Lychev

“…Experimental results confirming this fact were obtained during tests of a thin ice cover at the Krylov State Research Center (Saint-Petersburg, Russia). A characteristic feature of the test results is that their spatial distributions can be represented with sufficient accuracy as an overlap of two periodic functions with significantly different periods: long-wave and short-wave components. …”
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Retracted: VR Panorama Mosaic Algorithm Based on Particle Swarm Optimization and Mutual Information by Zhonggao Yang, Dan Xiang, Yili Cheng

“…However, the development of image mosaic technology still faces some problems to be studied and these problems were solved. …”
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Automatic tag detection in multimedia survey condition by M. Russo, L. Martelli, R. Ravanelli, A. Pini

“…This paper focuses on such technical problems, presenting part of the qualitative and quantitative results obtained at this stage of our research and the approach used to resolve some detection limitations.…”
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Image and Mask in the Painting by Francisco Goya: The Ontological and Axiological Aspects by Loukitcheva Krassimira

“…Goya managed to decidedly push the established boundaries of the European art expanding its range with the themes and problems that had previously been rarely and poorly represented. …”
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DEVELOPMENT OF NONPARAMETRIC PATH FUNCTION USING HYBRID TRUNCATED SPLINE AND KERNEL FOR MODELING WASTE-TO-ECONOMIC VALUE BEHAVIOR by Usriatur Rohma, Adji Achmad Rinaldo Fernandes, Suci Astutik, Solimun Solimun

“…One of the key factors in solving waste problems is the mindset of the community towards waste management. …”
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Broiler Behavior Detection and Tracking Method Based on Lightweight Transformer by Haixia Qi, Zihong Chen, Guangsheng Liang, Riyao Chen, Jinzhuo Jiang, Xiwen Luo

“…Detecting the daily behavior of broiler chickens allows early detection of irregular activity patterns and, thus, problems in the flock. In an attempt to resolve the problems of the slow detection speed, low accuracy, and poor generalization ability of traditional detection models in the actual breeding environment, we propose a chicken behavior detection method called FCBD-DETR (Faster Chicken Behavior Detection Transformer). …”
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Is anybody ‘Learning’ from deaths? Sequential content and reflexive thematic analysis of national statutory reporting within the NHS in England 2017–2020 by Cecilia Vindrola-Padros, S Ramani Moonesinghe, Zoe Brummell, Dorit Braun, Zainab Hussein

“…Introduction The imperative to learn when a patient dies due to problems in care is absolute. In 2017, the Learning from Deaths (LfDs) framework, a countrywide patient safety programme, was launched in the National Health Service (NHS) in England. …”
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Architectural Complex of the Pochinok State Stud Farm in the 17th-20th Centuries by M. S. Sukhanov, A. N. Garashchenkova

“…The article is devoted to the study of the problem of monuments of regional importance restoration by the example of the architectural complex of the Pochinkovskiy state stud farm. …”
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Machine Learning Techniques for Kinship Verification: A Review by Olivia Oraha, Yusra Mohammad

“…This paper presents a comprehensive review of the kinship verification methods used, datasets, features extraction and what the accuracy achieved.…”
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Deghosting method for cross localization in distributed high frequency surface wave radar by Na Cui, Xuekun Chen, Changjun Yu

“…Abstract In this article, the challenging problem of multi‐target cross localization within a novel distributed high‐frequency surface wave radar (HFSWR) is tackled. …”
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Poetics of Impressionism in the French and Russian Lyrics of the Late XIX - Early XX Centuries (based on the Work of P. Verlaine and M. Voloshin) by A. L. Latukhina, Y. A. Marinina

“…It is proved that, along with these features, mythological allusions, references to other cultural epochs and the desire for universality testify to the symbolist tendencies in his work. …”
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Organization of Material Support for the Enlisted Men of the First World War Families and its Influence on the Development of Protest Moods in Petrograd by A. D. Grudina

“…The characteristic features of the interaction of power and society, generated by the contradictions caused by the First World War, are revealed.…”
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Strategies for the Mediatization of Legal Concepts in Russian Mass Media of XXI Century (Concept LEGITIMACY) by O. N. Kondratyeva, Yu. S. Ignatova

“…The role of mass media in the processes of interpretation and assessment of various fragments of reality is discussed in the article. The problem of the entry of legal concepts into the media discourse is raised and the task is set to study the changes occurring in this process, which ultimately lead to the formation of new conceptual units — media concepts. …”
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Anomaly detection model for multivariate time series based on stochastic Transformer by Weigang HUO, Rui LIANG, Yonghua LI

“…Aiming at the problem that the existing multivariate time series anomaly detection models based on variational autoencoders could not propagate long-term temporal dependencies between stochastic variables in latent space, the stochastic Transformer for MTS anomaly detection (ST-MTS-AD) model which combined Transformer encoder with VAE was proposed.In the inference network of the ST-MTS-AD, the MTS long-term temporal dependent features generated by Transformer encoder and the sampled values of the stochastic variables at the previous moment were inputted into the multilayer perceptron, the approximate posterior distribution of the stochastic variables at the current moment was generated by the multilayer perceptron, and the temporal dependencies between stochastic variables were realized.The gated transition function(GTF) was used to generate the prior distribution of stochastic variables.The generation network of the ST-MTS-AD reconstructed the distribution of the MTS values at each moment by the multilayer perceptron whose input was the MTS long-term temporal dependent features generated by the inference network and the approximate posterior sampling values of stochastic variables.The distribution of normal MTS dataset was learned by the variational inference technology, and the abnormal MTS segment was determined by the log-likelihood of the reconstruction probability.Experiments on four public datasets show that the ST-MTS-AD model significantly improves the F1 score over the typical baseline models.…”
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