Dehua Zhang
Уральский федеральный университет
- Environmental Sustainability in Business
- Environmental Education and Sustainability
- Plant Stress Responses and Tolerance
- Plant Molecular Biology Research
- Sustainable Supply Chain Management
Чем занимается
Ключевые темы по публикациям: Environmental Sustainability in Business; Environmental Education and Sustainability; Plant Stress Responses and Tolerance; Plant Molecular Biology Research; Sustainable Supply Chain Management.
Последние работы
Все 74 в OpenAlex- The application research of neural network and BP algorithm in stock price pattern classification and prediction2020
LlWRKY39 is involved in thermotolerance by activating LlMBF1c and interacting with LlCaM3 in lily (Lilium longiflorum)2021 · аннотациясвернуть
Abstract WRKY transcription factors (TFs) are of great importance in plant responses to different abiotic stresses. However, research on their roles in the regulation of thermotolerance remains limited. Here, we…
- Research on grain production efficiency in China’s main grain-producing areas from the perspective of grain subsidy2021
- What influences urban residents’ intention to sort waste?: Introducing Taoist cultural values into TPB2022
- The Innovation Research of Contract Farming Financing Mode under the Block Chain Technology2020
Mitochondrial RNA as a broad-spectrum DAMP coordinates antiviral and damage-related immune clearance and confers therapeutic potential2026 · аннотациясвернуть
Abstract During viral infection and tissue injury, efficient immune clearance of infected or damaged cells is crucial for host defense and homeostasis. Here, we identify mitochondrial RNA (mtRNA) as a broad-spectrum…
- Digital Infrastructure Development and Corporate Labor Productivity—A Multi-Period DID Study Based on “Broadband China” Pilot Cities2026
- “Speaking” based on the “goal”: The interactive effect of AI tour guide language types and tourism goal specificity on tourists’ intention to follow recommendations2026
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Шаблон письма
Здравствуйте, Dehua Zhang! Я студент(ка) [курс, факультет, вуз]. Мне интересна тема [опишите интересы своими словами]. Прочитал(а) вашу работу «The application research of neural network and BP algorithm in stock price pattern classification and prediction» (2020) — она близка к тому, чем я хочу заниматься. Хочу обсудить возможность выполнить научную работу под вашим руководством. Буду благодарен(на) за ответ — готов(а) рассказать о себе подробнее и прислать резюме. С уважением, [Имя Фамилия]
На этапе теста письмо отправляешь сам из своей почты. Отправка из сервиса и статусы заявок — скоро.