The specifics of contractual relations in the oil and gas complex by O. V. Baykova, M. R. Tolstov

“…Special attention has been paid to the contracts classification (from contracts for exploration and production to agreements for transportation, infrastructure construction, and purchase and sale of oil and gas). …”
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Graph Contrastive Pre-training for Anti-money Laundering by Hanbin Lu, Haosen Wang

“…At present, many studies model the AML task as the graph and leverage graph neural network (GNN) for node/edge classification. Although these studies have achieved some achievements, they struggle with the issue of label scarcity in real-world scenarios. …”
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The Tatar family of the Saratov governorate in the second half of the 19th century: Historical and demographic description by P.Yu. Melnikov

“…Family evolution is an important research issue of historical and demographic science and becomes especially interesting in moments of intense socio-economic transformation. …”
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Curation, Algorithmic 'Caregiving' and Collective Archival Practices. Rethinking the Archival Work of Culture in Streaming Media by Valentina Re

“…I argue that streaming aggregators such as Netflix are shifting the focus of curatorial or caretaking activity from content to consumers - from criteria of selection, classification, and presentation of content to the effectiveness of automated processes masked as ‘caregiving’ practices. …”
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Accounting aspects of risk management in providing charitable assistance in a hybrid war by I.M. Vygivska, G.Yu. Khomenko

“…In order to identify and assess the risks of the charitable activity of an enterprise the classification of transactions for the provision of charitable assistance for the purpose of their accounting display and disclosure in the reporting has been developed. …”
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Utilizing MV-FLOW™ and multidimensional ultrasound characteristics for prognosticating FET outcomes in RIF patients: Study Protocol for a cross-sectional study. by Ying Zhou, Li-Ying Liu, Hua-Ju Yang, Yuan-Yuan Lai, Di Gan, Jie Yang

“…Recurrent implantation failure (RIF) is a common issue in frozen-thawed embryo transfer (FET). Prior to transfer, uterine endometrial receptivity of FET patients can be assessed using multimodal transvaginal ultrasound indicators to predict the success rate of the current FET cycle. …”
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The role of the GABAergic system on insomnia by Peeraporn Varinthra, Shameemun Naseer Mohamed Nizarul Anwar, Shu-Ching Shih, Ingrid Y Liu

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Effect of fiber type on performance of fiber reinforced concrete applied for hydraulic construction by Vu An Tran, Le Anh Tuan Bui, Duc-Cuong Nguyen, Hoang Anh Nguyen

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A multimodal hybrid parallel network intrusion detection model by Shuxin Shi, Dezhi Han, Mingming Cui

“…The single modal intrusion detection model cannot fully exploit the rich feature information in the massive network traffic data, resulting in unsatisfactory detection results. To address this issue, this paper proposes a multimodal hybrid parallel network intrusion detection model (MHPN). …”
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Stochastic process-based drought monitoring and assessment system: A temporal switched weights approach for accurate and precise drought determination. by Muhammad Asif Khan, Sergey Barykin, Dmitry Karpov, Nikita Lukashevich, Akram Ochilov, Rizwan Munir

“…These weights are generated from the Transition Probability Matrix (TPM) of each temporal classification of the drought type in accordance with the MC's fundamental assumption. …”
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Pragmatic Program of Lecture Text by Q. Yang

“…The issue of subjective-modal component of the content, or pragmatic program of the lecture text is considered. …”
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Modulation recognition driven by signal enhancement by CHENG Fengyun, ZHOU Jin

“…A signal enhancement based modulation recognition (SEBMR) algorithm was proposed to address the issue of poor network generalization ability. Firstly, a feature extraction and reconstruction module was designed to capture the global features of IQ signals. …”
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The relationship between employee-related disclosures and working days lost because of labour strikes by Thando Loliwe

“…Moreover, institutions that issue awards for excellent Corporate Social Responsibility (CSR) may award them to unworthy recipients. …”
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Effect of fiber type on performance of fiber reinforced concrete applied for hydraulic construction by Vu An Tran, Le Anh Tuan Bui, Duc-Cuong Nguyen, Hoang Anh Nguyen

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Advanced deep learning models based on neutrosophic logic for the analysis of brain tumor medical images by Dina Atef, Doaa El Shaha

“…Conventional deep learning models frequently encounter difficulties in addressing this issue, resulting in diminished diagnostic precision, particularly in the context of low-quality or ambiguous situations. …”
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System of Mythonyms in Poetry of Ivan Bunin by O. A. Selemeneva

“…The relevance  of the chosen topic is due to the poorly studied issue of the mythonymicon of poetry and prose  by I. …”
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BiLSTM-enhanced legal text extraction model using fuzzy logic and metaphor recognition by Jia Chen

“…Additionally, a self-attention module is integrated into the Bi-LSTM architecture, augmented by L2 regularization, to facilitate the efficient extraction of legal text information, thereby enabling the identification and classification of illegal content. This innovative approach effectively resolves the issue of legal text recognition. …”
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A Systematic Literature Review on Safety of Ammonia as a Marine Fuel by Nicoleta Pocitarenco, Olga Aneziris, Ioanna Koromila, Zoe Nivolianitou, Marko Gerbec, Vladislav Maras, Ernesto Salzano

“…In addition, various classification societies have issued guidelines for assessing hazards and risks of ammonia storage at ports and during bunkering, such as DNV and ABS. …”
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An investigation of Bayes algorithm and neural networks for identifying the breast cancer by E Udayakumar, S Santhi, P Vetrivelan

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Robust sparse smooth principal component analysis for face reconstruction and recognition. by Jing Wang, Xiao Xie, Li Zhang, Jian Li, Hao Cai, Yan Feng

“…Existing Robust Sparse Principal Component Analysis (RSPCA) does not incorporate the two-dimensional spatial structure information of images. To address this issue, we introduce a smooth constraint that characterizes the spatial structure information of images into conventional RSPCA, generating a novel algorithm called Robust Sparse Smooth Principal Component Analysis (RSSPCA). …”
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