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Wenjun Chen

Guangzhou Shi, China
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Chinese (Mandarin) English
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About Wenjun
Wenjun Chen, born 1985 in Guangzhou, China. He was photo editor and photographer in magazines before, and now he is a freelance photographer, videographer and co founder of May and June Studio, currently based in Guangzhou, China.

His works focus on the relationship between individual situation and the social, cultural environment, and the communication between them.

His works were the finalists of the Dummy Award Kassel 2016 and the 8th Three Shadow Photography Award 2016, they also received the Taipei Photo Emerging Talent Awards 2016, the XITEK EOS New Talent Award 2015 and Xu Xiaobing Photography Exhibition Outstanding Works of Art 2010. His works got exhibitions in China, Taiwan, Japan, UK, Germany, Italy, Ireland, Norway, Croatia, Portugal, Denmark and Slovakia. He had held self-publishing book workshops, talk and curatorial in China.

http://chenwenjun.net/
Services
Documentaries Photography 360 Videography
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Topics
Business Finance Politics
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Portfolio
Bibliometric Analysis of Cough Variant Asthma from 1993 to 2022
01 Dec 2024  |  www.dovepress.com
The bibliometric analysis of Cough Variant Asthma (CVA) from 1993 to 2022 highlights the increasing research interest in this field, with significant contributions from China, the USA, and Japan. The study identifies key contributors, including authors and institutions, and explores research hotspots and future trends. The analysis reveals that airway inflammation and hyperresponsiveness are central to understanding CVA's pathogenesis. Despite the growth in publications, the specific mechanisms and effective treatments for CVA remain unclear, emphasizing the need for further research and collaboration across regions. The study also underscores the importance of high-quality clinical studies to advance the understanding and treatment of CVA.
Metabolically intact nuclei are fluidized by the activity of the chromatin remodeling motor BRG1
29 Nov 2024  |  Molecular Cell
The study explores the mechanical response of the cell nucleus, revealing that the BRG1 motor of the SWI/SNF/BAF chromatin-remodeling complex drives active fluidization. Atomic force microscopy shows that nuclear stiffness adapts to substrate stiffness, with most nuclear compression work dissipated rather than stored. Inhibiting BRG1 increases nuclear stiffness and halts dissipation and remodeling, highlighting a novel connection between nuclear motor activity and global nuclear mechanics.
Mechanochemical activation of 2D MnPS3 for sub-attomolar sensing
25 Nov 2024  |  Nature
The article discusses the development of a mechanochemical approach to enhance the sensitivity of surface-enhanced Raman scattering (SERS) platforms using 2D MnPS3. By introducing wrinkles and chemical functionalization with histamine dihydrochloride, the SERS platform achieves single-molecule-level detection, significantly improving its performance. The study highlights the role of charge transfer and light-matter interaction in enhancing SERS sensitivity, offering insights into the design of plasmon-free SERS platforms for various applications.
Microplastic Transport and Accumulation in Rural Waterbodies: Insights from a Small Catchment in East China
19 Oct 2024  |  MDPI
The study investigates microplastic (MP) pollution in rural waterbodies within a small catchment in Nanjing, East China, highlighting the distribution and sources of MPs in drainage ditches influenced by pond connectivity, land use, and soil properties. The research identifies six dominant MP materials and reveals that ponds act as MP sinks, with higher concentrations found in ditches above ponds. The study emphasizes the need for targeted strategies to reduce MP pollution, such as reducing plastic use and improving road runoff management. The findings underscore the role of land use in MP distribution and the importance of ponds in retaining MPs, suggesting that agricultural practices and road traffic significantly contribute to MP pollution.
Leveraging Machine Learning for Sophisticated Rental Value Predictions: A Case Study from Munich, Germany
18 Oct 2024  |  MDPI
The study explores the application of machine learning models, particularly PyTorch, in predicting rental values in Munich's real estate market. It highlights the limitations of traditional methods and demonstrates the enhanced accuracy and reliability of using advanced AI-based approaches. The research employs various algorithms, including ensemble techniques and neural networks, to forecast rental prices, achieving high accuracy levels. The integration of PyTorch with other models consistently improves predictive performance, offering valuable insights for stakeholders in the real estate sector.
The effect of anti-Xa monitoring on the safety and efficacy of low-molecular-weight heparin anticoagulation therapy: A systematic review and meta-analysis
18 Jul 2024  |  Wiley Online Library
This systematic review and meta-analysis evaluated the effect of anti-Xa monitoring on the safety and efficacy of low-molecular-weight heparin (LMWH) anticoagulation therapy. Six studies involving 1617 patients were included, with four cohort studies and two randomized controlled trials (RCTs). The analysis found that anti-Xa monitoring did not significantly affect the incidence of bleeding events but significantly reduced the incidence of venous thromboembolism events. Subgroup analysis suggested that monitoring anti-Xa trough levels may be more effective than peak levels for thrombosis prophylaxis. The study highlights the need for more high-quality research to fully understand the impact of anti-Xa monitoring on LMWH therapy.
Biomass-derived γ-valerolactone: efficient dissolution and accelerated alkaline hydrolysis of polyethylene terephthalate
24 May 2024  |  pubs.rsc.org
The article discusses the use of biomass-derived γ-valerolactone for the efficient dissolution and accelerated alkaline hydrolysis of polyethylene terephthalate (PET). The study highlights the potential of this method in sustainable chemistry and chemical engineering.
Me and Me - Photographs and text by Wenjun Chen and Yanmei Jiang
02 May 2024  |  LensCulture
Me and Me is a multimedia art project by Wenjun Chen and Yanmei Jiang that documents their life, growth, and creation through photography and other media from 2007 to 2015. The project includes self-portraits, group photos, two books titled In My Eyes, narrative letters, and social media clips, all compiled into a large handmade book showcasing their collaborative and individual work.
Biomedical Applications of Deformable Hydrogel Microrobots
24 Sep 2023  |  MDPI
Hydrogel microrobots, known for their biocompatibility and shape deformation abilities, are gaining traction in biomedical applications. These smart materials respond to various stimuli such as pH, light, electricity, magnetism, temperature, and humidity, making them ideal for drug delivery, stem cell therapy, and minimally invasive surgery. The study discusses the mechanisms of hydrogel deformation, preparation techniques, and structural designs, highlighting recent advancements and identifying challenges and future growth paths. The research emphasizes the potential of hydrogel microrobots in targeted drug delivery, tissue adhesion, and cargo manipulation, while also addressing the need for improved sensitivity and real-time imaging for in vivo applications.
Highly Efficient Visible-Light-Driven Mn0.2Cd0.8S/g-C3N4 Heterojunction for the Photodegradation of Highly Toxic Tetracycline Antibiotics
26 Jun 2023  |  pubs.acs.org
A Mn0.2Cd0.8S/g-C3N4 type II heterojunction was developed for the photodegradation of tetracycline antibiotics. The study examined the effects of loading ratios, catalyst dosage, and pH on photocatalytic performance. Optimal conditions achieved a 98.4% photodegradation rate of tetracycline under visible light in 120 minutes, with a 96.8% rate after four cycles, indicating high stability and recoverability. The dominant active species in the process was identified as ·O2–, suggesting the composite's potential for effective antibiotic degradation.
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