法律的瑕疵
发表于 2025-3-25 04:43:48
https://doi.org/10.1007/978-3-642-99095-3Dampfheizung; Heizkörper; Heizung; Lüftung; Natürliche Lüftung; Praxis; Verfahren; Warmwasser; Warmwasserhei
良心
发表于 2025-3-25 09:56:49
Zwanglose Abhandlungen aus den Grenzgebieten der Pädagogik und Medizinhttp://image.papertrans.cn/l/image/589376.jpg
宽宏大量
发表于 2025-3-25 14:28:28
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ACRID
发表于 2025-3-25 16:18:12
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FATAL
发表于 2025-3-25 21:08:59
Was bleibt? Der Einsatz digitaler Bildungsressourcen im Unterricht Deutsch als Fremd- und Zweitsprac“der IDT 2022 in Wien wider. Dabei wird einerseits die in der Sektion geführte Diskussion zu hybriden Lernsettings zusammengefasst, also was sollte hybrider Unterricht leisten, welche Arten hybriden Unterrichts gibt es und wie kann man die Arten terminologisch sauber trennen. Andererseits werden did
parallelism
发表于 2025-3-26 02:06:07
Analysis on the Influence of Structural Adhesive Length on Torsional Stiffness of Body-in-White, adhesive, improve body-in-white performance, reduce and reduce thin steel plate, replace solder joint and so on. In this paper, taking the performance improvement and lightweight as the optimization goal, the structural adhesive layout analysis method of CAE topology optimization is used to optimiz
Ornithologist
发表于 2025-3-26 05:58:25
The Targis Microwave Treatment System for Lower Urinary Tract Symptoms of Benign Prostatic Hyperplasia: Performance Characteristics and Clinical Experience,use of this system for patients with benign prostatic hyperplasia (BPH) is summarized. The Targis system delivers effective doses of thermal energy and allows accurate targeting of obstructive prostatic tissue. The heating pattern generated by the microwave antenna of this system has been well chara
Magisterial
发表于 2025-3-26 09:22:15
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CRASS
发表于 2025-3-26 13:32:11
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Cervical-Spine
发表于 2025-3-26 19:04:34
CANAMRF: An Attention-Based Model for Multimodal Depression Detectionodal feature extractor, an Adaptive Multimodal Recurrent Fusion module, and a Hybrid Attention Module. Through experimentation on two benchmark datasets, CANAMRF demonstrates state-of-the-art performance, underscoring the effectiveness of our proposed approach.