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Titlebook: Putting Families First; Prevention and Child Bob Holman Textbook 1988Latest edition Bob Holman 1988 care.child.child care.prevention

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31#
發(fā)表于 2025-3-27 00:15:46 | 只看該作者
Pablo Adelino Narbona,Guillermo Arceen the two. Hult (2012: 235) characterizes this as the ‖new wave? of LPP research, which ‖aims not at comprehensive sociological inquiry but at representing specific ways in which language policies are socially and discursively situated, thereby documenting instances of how LPP takes shape in texts
32#
發(fā)表于 2025-3-27 04:06:11 | 只看該作者
Healthcare Overview in the Slovak Republic and Implementation of Predictive, Preventive and Personaltical data, around 78% of the 5.4 million population may be regarded to as relatively healthy, or having no apparent health problems. The 22% of the population suffer of the most common diseases such as cardiovascular diseases, diabetes, respiratory diseases, psychiatric diseases, infectious disease
33#
發(fā)表于 2025-3-27 07:34:28 | 只看該作者
Laissez-Faire Caching for Parallel #SAT Solving, #SAT-solver..Our experimental results clearly show that . achieves considerable speedups through the parallel computation while maintaining correct results on a large variety of benchmarks coming from different real-world applications. Moreover, our analysis indicates that laissez-faire caching only adds a small computational overhead.
34#
發(fā)表于 2025-3-27 11:57:23 | 只看該作者
Improved Compatibilization of Immiscible Homopolymer Blends Using Copolymer Mixtures, and comb block copolymers in reducing the interfacial tension between two immiscible homopolymers. In particular, we consider: 1) the mixture of diblock copolymers of two different molecular weights and 2) the mixture of diblock and comb copolymers, in which we vary the molecular weights for copoly
35#
發(fā)表于 2025-3-27 16:57:54 | 只看該作者
Erika Feuchtdata from IMU sensors, EMG and cameras. The deep learning (DL) approach has been developed to increase the accuracy of the grasp intent by continuously predicting the intent class while moving the hand towards the object. The deep learning network archives an accuracy of 92.3% over 89% as in literat
36#
發(fā)表于 2025-3-27 21:15:15 | 只看該作者
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