The Relationship Between Direct Foreign Capital Investment, Economic Freedom And Economic Growth In Emerging Markets by Murat Akkaya

“…Foreign capital investments are generally divided into two categories: direct foreign capital investments and indirect foreign capital investments. …”
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Decir perpetrador: historias de vida de victimarios: Propuesta de clasificación y su utilidad para la investigación social by Hugo Fauzi Alfaro Andonie, Paulina González Orozco

“…A través de una revisión bibliográfica se propone una clasificación de cuatro tipos generales de perpetradores: los de la contrainsurgencia y la represión (que se centra en los personajes clave de las dictaduras en América Latina); los victimarios fuera del poder político (comúnmenterelacionados con las clases populares); los de “cuello blanco” (ilícitos cometidos por individuos o entidades privilegiadas en poder político y económico) y los victimarios estructurales (que reproducen conductas como el machismo, el racismo y/o la xenofobia). …”
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Ideas filosóficas y políticas en Rafael María Baralt by Johan Méndez Reyes, Ana María Padrón Medina

“…La mayoría de los documentos conocidos se centran en recopilar contenidos “clásicos” o proporcionar visiones generales de la vida de intelectuales reconocidos, sin explorar nuevos enfoques. …”
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Early CBC Screening for Detecting Subclinical Anemia in Adolescent Females by Saadia Saad, Raheela Pyar Ali, Uzma Najam, Uzma Shahid, Asaad Javaid Mirza

“…Anemia severity was generally mild, with only 8 (6.8%) exhibiting moderate anemia. …”
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A storage model with random release rate for modeling exposure to food contaminants by Patrice Bertail, Stéphan Clémençon, Jessica Tressou

“…We also highlight the fact that theexposure process is generally not directly observable in practice and establisha validity framework for simulation-based statistical methods by couplinganalysis. …”
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Liquid‐Amplified Electrostatically Driven Octopus Sucker‐Inspired Suction Cup by Yu Sun, Lingjun Tang, Ling Wang, Qingkai Guo, Yuxin Lv, Laihao Yang

“…Traditional pneumatic suction cups rely on bulky and noisy vacuum sources and need for preloading while electrostatic adhesion‐detachment devices generally cannot provide enough adhesion force. To address these shortcomings, a liquid‐amplified electrostatically driven suction cup is proposed inspired by octopus's sucker, including a negative pressure chamber with a wrinkle‐like membrane and a sealing ring. …”
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Comparison between digital and conventional occlusal indicators. by Wan M. Dizayee, Fahd S. Ikram

“… Background and objective: Occlusal adjustments are an integral part of any dental restorations; any occlusal discrepancy will affect the masticatory system generally and the occlusal scheme specifically. This unsolved problem may cause restoration and/or tooth fracture, and also may result in TMJ problems. …”
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An Assessment of the Utility of a Bayesian Framework to Improve Response Propensity Models in Longitudinal Data by Eliud Kibuchi, Gabriele B Durrant, Olga Maslovskaya, Patrick Sturgis

“…The potential nonrespondents can then be targeted using responsive and adaptive strategies with the aim of increasing response rates and reducing survey costs. Generally, however, RP models exhibit low predictive power, which limits their effective application in survey research to improve data collection. …”
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A fault calculation method for large-scale photovoltaic integrated transmission systems by Hongyue Ma, Tao Zheng, Tao Zhang, Zhiguo Hao

“…The fault calculation method has not yet been generalized for the transmission system of large-scale new energy resource integration due to the multivariable coupling and nonlinear characteristics present during faults. …”
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Elementary Teachers’ Experiences of Implementing Culturally Responsive and Inclusive Education in New York State by Grace Pai

“…Results show that although CRSE is not necessarily a top priority of many schools across the state, teachers generally have positive perceptions of CRSE and have been accountable in taking concrete steps towards implementing inclusive curriculum. …”
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Transfer learning for linear regression with differential privacy by Yiming Hou, Yunquan Song, Zhijian Wang

“…Abstract Transfer learning, as a machine learning approach to enhance model generalization, has found widespread applications across various domains. …”
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Kriging-Based Space Exploration Global Optimization Method in Aerodynamic Design by Wei Zhang, Zhenghong Gao, Chao Wang, Lu Xia

“…The results indicated that the KSE generally took fewer function evaluations to find the global optima or reach the target value in most test problems, holding better efficiency and robustness.…”
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Quantum volunteer's dilemma by Dax Enshan Koh, Kaavya Kumar, Siong Thye Goh

“…In this work we introduce a quantum variant of the classical volunteer's dilemma, generalizing it by allowing players to utilize quantum strategies. …”
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Noninteger Derivative Order Analysis on Plane Wave Reflection from Electro-Magneto-Thermo-Microstretch Medium with a Gravity Field within the Three-Phase Lag Model by S. H. Elhag, Fatimah S. Bayones, A. A. Kilany, S. M. Abo-Dahab, Emad A.-B. Abdel-Salam, M. Elsagheer, A. M. Abd-Alla

“…The present research paper illustrates how noninteger derivative order analysis affects the reflection of partial thermal expansion waves under the generalized theory of plane harmonic wave reflection from a semivacuum elastic solid material with both gravity and magnetic field in the three-phase lag model (3PHL). …”
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A Survey of Insulin-Dependent Diabetes—Part I: Therapies and Devices by Daisuke Takahashi, Yang Xiao, Fei Hu, Michael Lewis

“…In type 1 diabetes therapies, the exogenous insulin replacement is generally considered as a primary treatment. However, the complete replacement of exogenous insulin is still a challenging issue because of its complexity of modeling the dynamics, which is typically modeled nonlinearly. …”
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Ecologic and Sociodemographic Risk Determinants for Dengue Transmission in Urban Areas in Thailand by Surachart Koyadun, Piyarat Butraporn, Pattamaporn Kittayapong

“…It is possible that the preventive measures were positively correlated with dengue risk because these activities were generally carried out in particular households or communities following dengue experiences or dengue outbreaks. …”
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Study of the Colocated Dual-Polarized MIMO Capacity Composed of Dipole and Loop Antennas by Dazhi Piao, Xingning Jia, Lingyu Yang, Qingxin Guo, Yi Mao, Zengrui Li

“…It is shown that, in the AC, the mutual coupling will generally decrease the dual-polarized MIMO capacity; however, in the office room, the effect of mutual coupling is not always negative.…”
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Analysis of Multitasking Evolutionary Algorithms under the Order of Solution Variables by Lei Wang, Qian Sun, Qingzheng Xu, Wei Li, Qiaoyong Jiang

“…As a novel algorithm, MTEA still has a lot of unexplored space. Generally speaking, the order of solution variables has no significant influence on the single-tasking EAs. …”
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Plant Disease Identification Based on Deep Learning Algorithm in Smart Farming by Yan Guo, Jin Zhang, Chengxin Yin, Xiaonan Hu, Yu Zou, Zhipeng Xue, Wei Wang

“…This paper proposes a mathematical model of plant disease detection and recognition based on deep learning, which improves accuracy, generality, and training efficiency. Firstly, the region proposal network (RPN) is utilized to recognize and localize the leaves in complex surroundings. …”
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Research on test strategy for randomness based on deep learning by Dongyu CHEN, Hua CHEN, Limin FAN, Yifang FU, Jian WANG

“…In order to achieve better test performance, researches on the randomness test strategies based on deep learning were conducted, including the batch average strategy proposed by EUROCRYPT 2021 and the selection strategy for data unit size.By introducing the randomness statistical test model based on deep learning methods, the statistical distribution and test power expression of two test strategies were theoretically derived, and it was pointed out that: (i) the batch average strategy could amplify the prediction accuracy of the model, but it was prone to an increase in the probability of the second type of error in statistics, instead reducing the statistical test power; (ii) the smaller data units of the deep model generally obtained the more powerful statistical tests.Based on the above understanding, a new bit-level deep learning model was proposed for randomness statistical tests, which gained the advantage of prediction with 80 times fewer parameters and 50% samples, compared with the previous work on linear congruent generator (LCG) algorithm, and achieved significant prediction advantages with 10～20 times fewer parameters by extending the model to apply to 5～7 rounds of Speck, compared with the model proposed by Gohr.…”
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