Generalized Out-of-Plane Equilibrium Points in the Frame of Elliptic Restricted Three-Body Problem: Impact of Oblate Primary and Luminous-Triaxial Secondary by Aminu Abubakar Hussain, Aishetu Umar

“…It is seen that the pair of points (ξ0,0,±ζ0) which correspond to the positions of the 1st family of the out-of-plane equilibrium points, L6,7, are affected by the oblateness of the primary, radiation pressure and triaxiality of the secondary, semimajor axis, and eccentricity of the orbits of the principal bodies. …”
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Internet Use and Agricultural Household Food Insecurity in Indonesia by Dela Maria Ardianti, Djoni Hartono

“…The policy implication directed to the government can improve the quality of internet infrastructure and improve content as positive information for the user, especially in the agricultural sector.…”
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Considerations on Water Network Construction in Beijing by WANG Tao, LI Liqin, WU Xia, WANG Yan

“…According to the new requirements and new direction of national water network construction, combined with the practice of Beijing water network planning, the situation and demand of Beijing (as a national center city) water network were analyzed based on the new requirements of the strategic positioning of the four centers in Beijing. By taking the "nature-society" binary water cycle as the theoretical foundation, this paper proposed a significant network form of "five veins and five lines, three rings and ten networks, five districts and four reservoirs" in space, with five major water systems as the foundation, water diversion projects as the channels, transmission and distribution channels as the veins, and regulation and storage projects as the nodes. …”
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Text coverless information hiding method based on synonyms expansion and label delivery mechanism by Zhen ZHANG, Jiaming NI, Ye YAO, Lichun GONG, Yujuan WANG, Guohua WU

“…To solve the problems of low hiding capacity and weak detection resistance, a method of coverless information hiding based on synonyms expansion and label delivery mechanism was proposed.To begin the proposed method, the secret information were divided into several keywords, then those keywords were embedded in different carrier texts respectively.Considering the interchangeability of synonyms in Chinese, using the word similarity calculation method based on HowNet,it was possible to filter synonyms which met the contextual semantics.For the purpose of increasing hiding capacity, various keywords or their synonyms were embedded in the same carrier text as much as possible.At the same moment, when recording the positional parameters of the secret information in each carrier text, those parameters were converted into a binary sequence in a fixed format, which was used to generate carrier text.Finally, the carrier texts and generated text were sent to the receiver.Comparison of the results with those of other studies confirm that the proposed method not only makes great improvement in hiding capacity and detection resistance, but also reduces the overhead of establishing and maintaining databases by using small text database.…”
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Text coverless information hiding method based on synonyms expansion and label delivery mechanism by Zhen ZHANG, Jiaming NI, Ye YAO, Lichun GONG, Yujuan WANG, Guohua WU

“…To solve the problems of low hiding capacity and weak detection resistance, a method of coverless information hiding based on synonyms expansion and label delivery mechanism was proposed.To begin the proposed method, the secret information were divided into several keywords, then those keywords were embedded in different carrier texts respectively.Considering the interchangeability of synonyms in Chinese, using the word similarity calculation method based on HowNet,it was possible to filter synonyms which met the contextual semantics.For the purpose of increasing hiding capacity, various keywords or their synonyms were embedded in the same carrier text as much as possible.At the same moment, when recording the positional parameters of the secret information in each carrier text, those parameters were converted into a binary sequence in a fixed format, which was used to generate carrier text.Finally, the carrier texts and generated text were sent to the receiver.Comparison of the results with those of other studies confirm that the proposed method not only makes great improvement in hiding capacity and detection resistance, but also reduces the overhead of establishing and maintaining databases by using small text database.…”
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Humanistic and diplomatic implications of international scholarship schemes in Taiwan: an analysis by Warangkana Lin

“…This perspective transcends a simplistic binary view, offering a comprehensive understanding of international scholarship programmes and highlighting the intricate interplay between humanistic and diplomatic contributions.…”
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Information-extremе machine learning for object identification on the terrain by V. V. Moskalenko, A. H. Korobov

“…Kulbak's information measure, which is a function of false omission rate and positive predictive value of decision-making and it also allows machine learning on imbalanced dataset.…”
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Associations between dietary diversity and self-rated health in a transverse study of four local food systems (French Guiana, Guadeloupe, Portugal and Senegal) by Michael Rapinski, Richard Raymond, Damien Davy, Jean-Philippe Bedell, Abdou Ka, Jean Lubszynski, Pascal Jean Lopez, Eduardo Ferreira Da Silva, Nathalie El Deghel, Enguerran Macia, Priscilla Duboz

“…Conclusions This study demonstrates a positive association between dietary diversity and self-rated health across distinct cultural contexts. …”
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Identifying Catastrophic Outlier Photometric Redshift Estimates in the COSMOS Field with Machine Learning Methods by Mitchell T. Dennis, Esther M. Hu, Lennox L. Cowie

“…Our neural networks can correctly classify 55.6% and 33.3% of the true positives with few to no false positives. These methods can be used to reduce the errors caused by the errors in redshift estimates, particularly at high redshift. …”
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Analysis of the Factors Determining the Probability of Registered or Informal Employment for Wage Earners in Turkey by Serdar Acun

“…The TURKSTAT 2018 Household Labor Force Survey micro data setis used for this purpose. A binary logistic regression model is applied as the method of analysis. …”
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Populist Strategies in the Political Advertising Discourse of the French National Front by Rana N. Khoudary

“…At the core of their discourse lie binary conceptualisations constructing an in-group (the FN, the people) and an out-group (political individuals and entities, immigrants) in a scheme of opposition, typically attributing positive qualities to the former and negative values to the latter. …”
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Rapid method to identify expression vectors and tansgenic plants based on pBI121 plasmid by WANG Hua-xin, CAO Jia-shu, XIANG Xun, YU Xiao-lin, YE Wan-zhi

“…To screen rapidly positive clones, recombinant plant expression vectors constructed based on the binary vector pBI121, containing sense, antisense or RNA interference (RNAi) cassette respectively, were amplified by PCR with a universal primer pair designed according to the flank sequence of multiple clone site in pBI121, and PCR products with predicted sizes were further verified by digestion with the restriction enzyme BamHI. …”
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A Study on the Impact of Social Trust on Farmers’ Agricultural Waste Resource Utilization Behavior in the Context of Environmental Regulation Policy by Jianhua Wang, Ling Ma

“…The results show that social trust has a significant positive impact on farmers’ agricultural waste resource utilization behavior. …”
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Comparative analysis of data-driven models on detection and classification of electrical faults in transmission systems: Explainability, applicability and industrial implications by Chibueze D. Ukwuoma, Dongsheng Cai, Chiagoziem C. Ukwuoma, Chinedu I. Otuka, Qi Huang

“…Hence, a Quadratic Discriminant Analysis by Projection (QDA-P) model which effectively captures non-linear relationships between electrical fault features is proposed, enhancing classification accuracy, less computationally complex and explainable for both binary and multi-class scenarios. Using a publicly available simulated dataset generated through MATLAB Simulink to represent various fault types, the QDA-P model achieved binary classification scores of 0.988, 0.980, 0.982, 0.995, and 0.987 while recording a multi-class classification score of 0.982, 0.979, 0.982, 0.982, and 0.980 for accuracy, precision, specificity, recall, and F1-score, respectively. …”
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Multimodal Imaging of Patients With Gliomas Confirms C-MET PET as a Complementary Marker to MRI for Noninvasive Tumor Grading and Intraindividual Follow-Up After Therapy by Kai R. Laukamp MD, Florian Lindemann PhD, Matthias Weckesser MD, Volker Hesselmann MD, Sandra Ligges PhD, Johannes Wölfer MD, Astrid Jeibmann MD, Bastian Zinnhardt PhD, Thomas Viel PhD, Michael Schäfers MD, Werner Paulus MD, Walter Stummer MD, Otmar Schober PhD, MD, Andreas H. Jacobs MD

“…The MET-PET visualized tumor activity where MRI parameters were negative: PET positive tumor volume without Gd enhancement was 19.8 ± 35.0 cm 3 and without changes in FLAIR/T2 10.3 ± 25.7 cm 3 . …”
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GNSS Anti-Multipath Technology of UAV for Geological Hazard Monitoring by FENG Jianhui, YANG Xiuzheng, MA Wenliang, SHEN Feng

“…A GNSS-based UAV anti-multipath technology for geological hazard monitoring is proposed to ensure the positioning capability of UAVs in complex environments. …”
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Evolutionary Search for Polynomial Lyapunov Functions: A Genetic Programming Method for Exponential Stability Certification by Roman Pykhnivskyi, Anton Ryzhov, Andrii Sobchuk, Yurii Kravchenko

“…In our formulation, these polynomial functions are represented as binary trees. The Lyapunov conditions for exponential stability are interpreted as a minimax optimization problem, using a carefully designed fitness metric to ensure positivity and dissipation within a chosen domain. …”
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Comparative analysis of convolutional neural networks and transformer architectures for breast cancer histopathological image classification by Bo Yuan, Yudie Hu, Yan Liang, Yutong Zhu, Lingyu Zhang, Shimin Cai, Rui Peng, Xianbin Wang, Zheng Yang, Jinhui Hu

“…Additionally, using foundation model encoders directly without fine-tuning resulted in generally poor performance on the classification task.ConclusionOur findings suggest that deep learning models are highly effective in classifying breast cancer pathology images, particularly in binary tasks where multiple models reach near-perfect performance. …”
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Examining the relationship between online distribution channels and tourist satisfaction and loyalty by Paula Antón Maraña, Julio César Puche Regaliza, Pablo Arranz Val, Santiago Aparicio Castillo

“…Although the Internet and e-commerce have contributed positively to the tourism sector, there is not much empirical research on the transformation of distribution channels or that considers the use of the Internet in travel planning as an antecedent of tourist satisfaction and loyalty. …”
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The Impact of International Migration on the Labor Market – A Case Study from Hungary by Judit Oláh, György Halasi, Zoltán Szakály, József Popp, Péter Balogh

“…Based on these questionnaires, two independent samples t-test, and one-way ANOVA, factor analysis and binary logistic regression procedures were performed. …”
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