检索结果-内蒙古大学图书馆

Front Cover: Potassium Carbonate as a Low-Cost and Highly Active Solid Base Catalyst for Low-Temperature Methanolysis of Polycarbonate (ChemSusChem 2/2025)

引用

ChemSusChem 2025年第2期18卷

作者： Tzu-Ming Lin Philip Anggo Krisbiantoro Miyu Sato Yu-Chia Chang Eduardo C. Atayde Dr. Weisheng Liao Prof. Yuichi Kamiya Dr. Ryoichi Otomo Prof. Kevin C.-W. Wu Department of Chemical Engineering National Taiwan University Taipei 10617 Taiwan Molecular Science and Technology Program Taiwan International Graduate Program Academia Sinica Taipei 11529 Taiwan International Graduate Program of Molecular Science and Technology National Taiwan University Taipei 10617 Taiwan Graduate School of Environmental Science Hokkaido University Nishi 5 Kita 10 Kita-ku Sapporo 060-0810 Japan Department of Chemistry National Tsing Hua University Hsinchu 30013 Taiwan Faculty of Environmental Earth Science Hokkaido University Nishi 5 Kita 10 Kita-ku Sapporo Japan Department of Chemical Engineering and Materials Science Yuan Ze University Chung-Li Taoyuan Taiwan Department of Chemical Engineering Chung Yuan Christian University Taoyuan City 320 Taiwan

来源：评论

学校读者我要写书评

暂无评论

Analysis of antioxidant activity in commercial IVF media

引用

Reproductive BioMedicine Online 2025年

作者： Emma M. Pyneandee Alexandra Wilkins Natasha Harrison Sarah Lambourne Hassan W Bakos Geoffry De Iuliis R. John Aitken Discipline of Biological Sciences School of Environmental and Life Sciences College of Engineering Science and Environment The University of Newcastle NSW Australia Infertility and Reproduction Research Program Hunter Medical Research Institute NSW Australia Memphasys limited NSW Australia

Research question What is the biological effectiveness and source of antioxidant activity in commercial IVF media? Design Antioxidant activity, defined by the ability of individual culture media to scavenge hydrogen peroxide, free radicals and lipid hydroperoxide, was assessed over 24 h in the presence and absence of spermatozoa. Motility, DNA integrity and mitochondrial reactive oxygen species (ROS) generation were investigated. Protein concentration, identification and activity were studied using the DC protein assay, SDS-PAGE and thiol quantification, respectively. Molecular filtration was employed to determine the role of albumin in supporting sperm function. Results The results revealed highly significant differences between media in their capacity to support sperm motility and DNA integrity. Media that optimally supported sperm function generally possessed high levels of antioxidant activity. Moreover, spermatozoa were shown to consume antioxidant equivalents from these media, particularly with respect to their hydrogen peroxide scavenging activity. The major antioxidant present in these commercial preparations was found to be albumin. When albumin was selectively removed, the ability of these media to support of sperm motility, control mitochondrial ROS generation and suppress DNA damage, were all lost. However, if the albumin content of these media was subsequently restored, then all these supportive properties were recovered. Thiol oxidation and the binding of cytotoxic metabolites were central to albumin’s protective action. Conclusion These studies emphasise the importance of antioxidant activity in supporting sperm function in vitro. Since albumin is the only antioxidant available to these cells in current media formulations, an opportunity exists to optimise how such protection is delivered in the future.

关键词：

来源：评论

学校读者我要写书评

暂无评论

In situ soil environment-based evaluation on degradation of biodegradable plastics

引用

science of The Total Environment 2025年 992卷

作者： Yoora Cho Min Jang Geonwook Hwang Jeyoung Park Dongyeop X. Oh Yujin Choi Sung Yeon Hwang Yong Sik Ok Division of Environmental Science and Ecological Engineering Korea University Seoul 02841 Republic of Korea International ESG Association Seoul 06621 Republic of Korea School of Interdisciplinary Forensics New College of Interdisciplinary Arts and Sciences Arizona State University Glendale AZ 85306 USA Department of Chemical and Biomolecular Engineering Sogang University Seoul 04107 Republic of Korea Department of Polymer Science and Engineering and Program in Environmental and Polymer Engineering Inha University Incheon 22212 Republic of Korea Department of Convergent Biotechnology and Advanced Materials Science Kyung Hee University Yongin 17104 Republic of Korea

Plastic biodegradability governs its environmental fate and sustainability. However, most degradation studies have been limited to closed systems, relying on physical disintegration and CO 2 evolution. Thus, we present a field-applicable methodology to evaluate plastic degradation under natural soil conditions. Biodegradable polymers—polybutylene succinate (PBS), polybutylene adipate- co -terephthalate (PBAT), poly3-hydroxybutyrate- co -3-hydroxyvalerate (PHBV), and polylactic acid (PLA) were buried in lysimeter-equipped soils that preserve the in situ environmental dynamics. Over two years, we monitored the soil electrical conductivity (EC), temperature, water content, and the plastic degradation-derived monomers in the leachate. The seasonal fluctuations in soil EC proved the plastic degradation, with increased monomer concentrations mostly spiking during the summer months. A correlation between the soil EC and monomer concentration was observed through the electrochemical footprint of degradation. The soil resilience remained intact despite the degradation-derived soil properties fluctuating with seasonal changes. We elucidated the seasonal changes and environmental drivers of plastic degradation in soil and proposed a non-intrusive methodology to assess biodegradability. These insights provide the scientific basis for the evaluation of biodegradable plastics in the real environment.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Multi-label classification for multi-temporal, multi-spatial coral reef condition monitoring using vision foundation model with adapter learning

arXiv

引用

arXiv 2025年

作者： Shao, Xinlei Chen, Hongruixuan Zhao, Fan Magson, Kirsty Chen, Jundong Li, Peiran Wang, Jiaqi Sasaki, Jun Department of Socio-Cultural Environmental Studies Graduate School of Frontier Sciences The University of Tokyo Chiba Kashiwa277-8563 Japan Department of Complexity Science and Engineering Graduate School of Frontier Sciences The University of Tokyo Chiba Kashiwa277-8563 Japan Department of Environment Systems Graduate School of Frontier Sciences The University of Tokyo Chiba Kashiwa277-8563 Japan New Heaven Reef Conservation Program Koh Tao Surat Thani84360 Thailand Data Science and AI Innovation Research Promotion Center Shiga University Shiga Hikone522-8522 Japan Interfaculty Initiative in Information Studies The University of Tokyo Tokyo113-0033 Japan

Coral reef ecosystems provide essential ecosystem services, but face significant threats from climate change and human activities. Although advances in deep learning have enabled automatic classification of coral reef conditions, conventional deep models struggle to achieve high performance when processing complex underwater ecological images. Vision foundation models, known for their high accuracy and cross-domain generalizability, offer promising solutions. However, fine-tuning these models requires substantial computational resources and results in high carbon emissions. To address these challenges, adapter learning methods such as Low-Rank Adaptation (LoRA) have emerged as a solution. This study introduces an approach integrating the DINOv2 vision foundation model with the LoRA fine-tuning method. The approach leverages multi-temporal field images collected through underwater surveys at 15 dive sites at Koh Tao, Thailand, with all images labeled according to universal standards used in citizen science-based conservation programs. The experimental results demonstrate that the DINOv2-LoRA model achieved superior accuracy, with a match ratio of 64.77%, compared to 60.34% achieved by the best conventional model. Furthermore, incorporating LoRA reduced the trainable parameters from 1,100M to 5.91M. Transfer learning experiments conducted under different temporal and spatial settings highlight the exceptional generalizability of DINOv2-LoRA across different seasons and sites. This study is the first to explore the efficient adaptation of foundation models for multi-label classification of coral reef conditions under multi-temporal and multi-spatial settings. The proposed method advances the classification of coral reef conditions and provides a tool for monitoring, conserving, and managing coral reef ecosystems. © 2025, CC BY-NC-SA.

关键词： Biotic

来源：评论

学校读者我要写书评

暂无评论

Chemical oxygen demand (COD) degradation of herbal, tofu and fertilizer wastewater using UV/Ozone oxidation methods 8

Chemical oxygen demand (COD) degradation of herbal, tofu and...

引用

8th International Seminar on New Paradigm and Innovation on Natural sciences and Its Application, ISNPINSA 2018

作者： Hadiyanto Silviana Padetya, N. Pratiwi, M.E. Aripratama, A.D. Chemical Engineering Department Faculty of Engineering Diponegoro University Indonesia Master Program of Environmental Science School of Postgraduate Studies Diponegoro University Indonesia

The herbal, tofu and fertilizer industries contribute considerable waste. Unprocessed waste disposal can cause environmental pollution. The waste contains chemical oxygen demands (COD), and organic substances can be degraded by Advanced Oxidation Processes (AOPs) degradation method. The process of AOPs in this study used a combination of UV rays and ozone to produce hydroxyl radicals. This study was aimed to investigate the effect of UV, Ozone and UV-Ozone methods on COD degradation of herbal waste, tofu, and fertilizer. The result showed that the optimum degradation was obtained at experiment by using UV/ozone method. The COD degradation at tofu wastewater was from 1308 to 942 ppm, herbal wastewater was from 1011 to 414 ppm, and fertilizer wastewater was from 510 to 89 ppm by the use of 4 hours UV-Ozone method. © Published under licence by IOP Publishing Ltd.

关键词： Chemical oxygen demand

来源：评论

学校读者我要写书评

暂无评论

Fate and distribution of orally-ingested CeO₂-nanoparticles based on a mouse model: Implication for human health

Soil and Environmental Health

引用

Soil and environmental Health 2023年第2期1卷

作者： Ma, Xingmao Wang, Xiaoxuan Xu, Lei Shi, Honglan Yang, Hu Landrock, Kerstin K. Sharma, Virender K. Chapkin, Robert S. Zachry Department of Civil and Environmental Engineering Texas A&M University College Station 77843 TX United States Linda and Bipin Doshi Department of Chemical and Biochemical Engineering Missouri University of Science and Technology Rolla 65409 MO United States Department of Chemistry and Center for Research in Energy and Environment Missouri University of Science and Technology Rolla 65409 MO United States Department of Nutrition Texas A&M University College Station 77843 TX United States Program in Integrative Nutrition & Complex Diseases Texas A&M University College Station 77843 TX United States Department of Environmental and Occupational Health Texas A&M University College Station 77843 TX United States

The use of nanoparticles in agrichemical formula and food products as additives has increased their chances of accumulation in humans via oral intake. Due to their potential toxicity, it is critical to understand their fate and distribution following oral intake. Cerium oxide nanoparticle (CeO₂NP) is commonly used in agriculture and is highly stable in the environment. As such, it has been used as a model chemical to investigate nanoparticle's distribution and clearance. Based on their estimated human exposure levels, 0.15–0.75 mg/kg body weight/day of CeO₂NPs with different sizes and surface charges (30–50 nm with negative charge and <25 nm with positive charge) were gavaged into C57BL/6 female mice daily. After 10-d, 50% of mice in each treatment were terminated, with the remaining being gavaged with 0.2 mL of deionized water daily for 7-d. Mouse organ tissues, blood, feces, and urine were collected at termination. At the tested levels, CeO₂NPs displayed minimal overt toxicity to the mice, with their accumulation in various organs being negligible. Fecal discharge as the predominant clearance pathway took less than 7-d regardless of charges. Single particle inductively coupled plasma mass spectrometry analysis demonstrated minimal aggregation of CeO₂NPs in the gastrointestinal tract. These findings suggest that nanoparticle additives >25 nm are unlikely to accumulate in mouse organ after oral intake, indicating limited impacts on human health. © 2023 The Author(s)

关键词： Cerium oxide nanoparticles Different charge Different size environmental impacts Oral intake SP-ICP-MS

来源：评论

学校读者我要写书评

暂无评论

Gender-specific insights into TTN mutation: potential biomarker for female risk in kidney renal clear cell carcinoma

引用

Journal of Genetic engineering and Biotechnology 2025年第3期23卷

作者： Saha, Ayan Sharmin, Senzuti Ahmed, Tazin Tabassum, Sadia Roy, Ayan Kar, Pallab Biswas, Paromita Ferdoush, Jannatul Department of Biological Sciences Asian University for Women Chittagong 4000 Bangladesh Department of Biochemistry and Microbiology North South University Dhaka 1229 Bangladesh Science and Math Program Asian University for Women Chattogram 4000 Bangladesh Department of Applied Science Wrexham Glyndwr University Wrexham LL11 2AW United Kingdom Department of Genetic Engineering and Biotechnology East West University Dhaka 1212 Bangladesh African Medicinal Flora and Fauna Research Niche Walter Sisulu University Mthatha 5117 South Africa Department of Biology Geology and Environmental Science University of Tennessee at Chattanooga 615 McCallie Ave Chattanooga 37403 TN United States

Kidney Renal Clear Cell Carcinoma (KIRC) is a leading cause of cancer death worldwide, but its early detection remains hindered by a lack of genetic markers. Our study aims to find prospective biomarkers that could serve as prognostic indicators and help in the identification of efficient drug candidates for KIRC treatment. Importantly, this study identifies the hub genes that play a crucial role in KIRC and their impact on male and female patients. The cBioPortal was used to identify frequently mutated genes across seven KIRC studies. Additionally, GSE168845 was employed to identify the differentially expressed genes. The analysis revealed that the titin (TTN) gene was mutated and upregulated in KIRC. Subsequently, differential genes of wild-type TTN versus mutant TTN were identified using TNMplot. The NetworkAnalyst tool was used to conduct KEGG analysis and PPI analysis on these genes. Furthermore, the Kaplan-Meier Plotter was utilized to perform overall survival analysis. Our findings indicated that the TTN gene leads to poorer prognosis in women than in men. We also discovered that the female-specific prolactin signaling pathway plays a significant role in the progression of KIRC. Moreover, our study suggested that the GDF15 gene, involved in the prolactin signaling pathway, has a worse prognosis for KIRC in women than in men. Additionally, mRNA expression analysis showed a negative correlation between GDF15 and MAPK14 in KIRC. Collectively, our research indicates that TTN, GDF15, and MAPK14 can serve as prognostic biomarkers in female KIRC patients, offering prospects for enhanced treatment and patient outcomes in these cancers. © 2025 The Author(s)

关键词： ccRCC Gender differences KIRC Prolactin signaling pathway TTN

来源：评论

学校读者我要写书评

暂无评论

Correcting Confounding Canopy Structure, Biochemistry and Soil Background Effects Improves Leaf Area Index Estimates Across Diverse Ecosystems from Sentinel-2 Imagery

SSRN

引用

SSRN 2024年

作者： Wan, Liang Ryu, Youngryel Dechant, Benjamin Hwang, Yorum Feng, Huaize Kang, Yanghui Jeong, Sungchan Lee, Jeongho Choi, Changhyun Bae, Joonhwan Research Institute of Agriculture and Life Sciences Seoul National University Seoul Korea Republic of Interdisciplinary Program in Agricultural and Forest Meteorology Seoul National University Seoul Korea Republic of Department of Landscape Architecture and Rural Systems Engineering Seoul National University Seoul Korea Republic of Halle-Jena-Leipzig Leipzig Germany Leipzig University Leipzig Germany Department of Earth and Environment Boston University BostonMA United States Department of Environmental Science Policy and Management University of California Berkeley BerkeleyCA94720 United States

High-resolution leaf area index (LAI) data are essential for sustainable agro-ecosystem management and precise disturbance detection. Previous LAI products were primarily derived from satellite data with limited spatiotemporal or spectral resolutions, which could be overcome with the use of Sentinel-2. While hybrid methods that integrate PROSAIL simulations with machine learning offer advantages in extracting high-resolution LAI from Sentinel-2, they still face challenges due to confounding factors related to canopy structure, leaf biochemistry, and soil background. To reduce impacts of these confounders, we developed an efficient hybrid method for Sentinel-2-based LAI retrieval. Our approach consists of random forest models trained on simulated datasets generated by PROSAIL-5B with two refinements: variable canopy fraction of senescent leaves (FS) and soil bidirectional reflectance factor (BRF) simulated by Brightness-Shape-Moisture (BSM) model. We corrected canopy BRF using near-infrared reflectance of vegetation (NIRV) and vegetation cover within mixed pixels (VC). For validation, we used LAI measurements across different vegetation types from the Copernicus Ground Based Observations for Validation (GBOV) and Korea flux (KoFlux) sites during 2019–2023. Our results showed that coupling BSM and FS with PROSAIL-5B simulations improved hybrid LAI estimates, reducing RMSE by 10.8%–73.8%. Utilizing NIRV and VC to correct canopy BRF better quantified LAI in most vegetation types, with RMSE reduced by 15.3%–64.8%. Our hybrid method showed robust agreement with ground validation LAI data from GBOV (R2 = 0.88, RMSE = 0.71) and KoFlux (R2 = 0.81, RMSE = 0.73) datasets. Overall, our method (R2 = 0.58–0.93) outperformed both the benchmark Sentinel Application Platform (R2 = 0.11–0.85) and data-driven (R2 = 0.09–0.85) algorithms in producing precise seasonal LAI data at finer resolutions. Our findings underscore the potential of the proposed hybrid method for high-resolution L

关键词： Vegetation

来源：评论

学校读者我要写书评

暂无评论

Machine learning-based global air quality index development using remote sensing and ground-based stations

引用

environmental Advances 2024年 15卷

作者： Anggraini, Tania Septi Irie, Hitoshi Sakti, Anjar Dimara Wikantika, Ketut Center for Environmental Remote Sensing Chiba University 1-33 Yayoicho Inage-Ku Chiba 263-8522 Japan Doctoral Program in Geodesy and Geomatics Engineering Faculty of Earth Science and Technology Institut Teknologi Bandung Bandung 40132 Indonesia Center for Remote Sensing Institut Teknologi Bandung Bandung 40132 Indonesia Remote Sensing and Geographic Information Sciences Research Group Faculty of Earth Sciences and Technology Institut Teknologi Bandung Bandung 40132 Indonesia

Air pollution refers to the presence of hazardous substances in the air that has adverse effects on health, causing millions premature deaths annually. Ground-based stations can provide accurate measurements for monitoring air pollution. However, the spatial coverage of air pollution measurements is limited by the number of measurement instruments available in specific hotspot areas. Satellite remote sensing can reduce spatial uncertainty;however, the measurement results are mostly limited to the upper atmosphere with high measurement sensitivity. To better represent surface conditions, this study aims to model the Air Quality Index for pollutants CO, NO₂, SO₂, PM_2.5, and PM₁₀ in the global region using remotely sensed data. To support this study, 425 data points from air pollution stations distributed globally are combined using Machine Learning Linear Regression methods. Furthermore, socioeconomic and environmental data are combined with air pollution satellite to form Multiple models. According to the results of this study, the Multiple Models are more accurate than the single models, showing that the addition of socioeconomic and environmental data can enhance accuracy. The results of this study are expected to help regions without air pollution monitoring stations to estimate the air quality index using satellite data, in turn, preventing air pollution disasters. © 2023 The Author(s)

关键词： Air pollution Air quality index Machine learning linear regression Monitoring stations Satellite

来源：评论

学校读者我要写书评

暂无评论

Relative humidity level influences the morphology of fungal growth in carpet 16

Relative humidity level influences the morphology of fungal ...

引用

16th Conference of the International Society of Indoor Air Quality and Climate: Creative and Smart Solutions for Better Built Environments, Indoor Air 2020

作者： Nastasi, Nicholas Haines, Sarah Xu, Lingyi da Silva, Hadler Divjan, Adnan Rappleye, Chad A. Perzanowski, Matthew S. Dannemiller, Karen C. Department of Civil Environmental and Geodetic Engineering Ohio State University ColumbusOH United States Environmental Health Sciences College of Public Health Ohio State University ColumbusOH United States Environmental Science Graduate Program Ohio State University ColumbusOH United States Department of Civil and Environmental Engineering University of California BerkeleyCA United States Department of Environmental Health Sciences Mailman School of Public Health Columbia University New YorkNY United States Department of Microbiology College of Arts and Sciences Ohio State University ColumbusOH United States

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：