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Effect of sulfamethazine on the horizontal transfer of plasmid-mediated antibiotic resistance genes and its mechanism of action

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Journal of Environmental Sciences 2023年第5期127卷 399-409页

作者： Xiaojing Yan Wenwen Liu Shengfang Wen Lanjun Wang Lusheng Zhu Jun Wang young mo kim Jinhua Wang National Engineering Laboratory for Efficient Utilization of Soil and Fertilizer Resources Key Laboratory of Agricultural Environment in Universities of ShandongCollege of Resources and EnvironmentShandong Agricultural UniversityTai’an 271018China Department of Civil and Environmental Engineering Hanyang UniversitySeongdong-guSeoul 04763Korea

As a new type of environmental pollutant,antibiotic resistance genes(ARGs)pose a huge challenge to global *** gene transfer(HGT)represents an important route for the spread of *** widespread use of sulfamethazine(SM2)as a broad-spectrum bacteriostatic agent leads to high residual levels in the environment,thereby increasing the spread of ***,we chose to study the effect of SM2 on the HGT of ARGs mediated by plasmid RP4 from Escherichia coli(***)HB101 to *** NK5449 as well as its mechanism of *** results showed that compared with the control group,SM2 at concentrations of 10 mg/L and 200 mg/L promoted the HGT of ARGs,but transfer frequency decreased at concentrations of 100 mg/L and 500 mg/*** transfer frequency at 200 mg/L was 3.04×10^(−5),which was 1.34-fold of the control *** mechanism of SM2 improving conjugation transfer is via enhancement of the mRNA expression of conjugation genes(trbBP,trfAP)and oxidative stress genes,inhibition of the mRNA expression of vertical transfer genes,up regulation of the outer membrane protein genes(ompC,ompA),promotion of the formation of cell pores,and improvement of the permeability of cell membrane to promote the conjugation transfer of plasmid *** results of this study provide theoretical support for studying the spread of ARGs in the environment.

关键词： Sulfamethazine Plasmid Antibiotic resistance gene Conjugation transfer

Prediction of effluent concentration in a wastewater treatment plant using machine learning models

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Journal of Environmental Sciences 2015年第6期27卷 90-101页

作者： Hong Guo Kwanho Jeong Jiyeon Lim Jeongwon Jo young mo kim Jong-pyo Park Joon Ha kim Kyung Hwa Cho School of Environmental Science and Engineering Gwangju Institute of Science and Technology (GIST) School of Urban and Environmental Engineering Ulsan National Institute of Science and Technology HECOREA. INC

Of growing amount of food waste, the integrated food waste and waste water treatment was regarded as one of the efficient modeling method. However, the load of food waste to the conventional waste treatment process might lead to the high concentration of total nitrogen（T-N） impact on the effluent water quality. The objective of this study is to establish two machine learning models-artificial neural networks（ANNs） and support vector machines（SVMs）, in order to predict 1-day interval T-N concentration of effluent from a wastewater treatment plant in Ulsan, Korea. Daily water quality data and meteorological data were used and the performance of both models was evaluated in terms of the coefficient of determination（R^2）, Nash-Sutcliff efficiency（NSE）, relative efficiency criteria（d rel）. Additionally, Latin-Hypercube one-factor-at-a-time（LH-OAT） and a pattern search algorithm were applied to sensitivity analysis and model parameter optimization, respectively. Results showed that both models could be effectively applied to the 1-day interval prediction of T-N concentration of effluent. SVM model showed a higher prediction accuracy in the training stage and similar result in the validation ***, the sensitivity analysis demonstrated that the ANN model was a superior model for 1-day interval T-N concentration prediction in terms of the cause-and-effect relationship between T-N concentration and modeling input values to integrated food waste and waste water treatment. This study suggested the efficient and robust nonlinear time-series modeling method for an early prediction of the water quality of integrated food waste and waste water treatment process.

关键词： Artificial neural network Support vector machine Effluent concentration Prediction accuracy Sensitivity analysis

Thoracic pyogenic infectious spondylitis presented as pneumothorax:A case report

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World Journal of Clinical Cases 2021年第6期9卷 1402-1407页

作者： Mi-Kyung Cho Byeong-Ju Lee Jae-Hyeok Chang young-mo kim Department of Rehabilitation Medicine Pusan National University HospitalBusan 49241South Korea

BACKGROUND Pyogenic infectious spondylitis(PIS)is a rare condition,with an incidence between 0.2 and 2 cases per 100000 per ***’s most common symptom-back or neck pain-occurs in more than 90%of ***,we reported a case of thoracic PIS accompanied by pneumothorax in a 65-year-old male *** SUMMARY A 65-year-old man presented with right chest pain and *** initial erect posteroanterior chest radiography revealed pneumothorax,which was further evaluated by chest computed tomography,revealing pleural effusion in the right lung and a paravertebral abscess with bony destruction of vertebral *** on magnetic resonance imaging,the patient was diagnosed with thoracic infectious spondylitis with an anterior paravertebral *** was prescribed antibiotics and underwent neurosurgery due to aggravated symptoms and neurologic *** examination revealed that the cause of pleural effusion and pneumothorax was Staphylococcus aureus infection contiguously spread to lung *** several surgical treatments with intravenous antibiotic therapy for two months and transition to oral antibiotics(rifampin 600 mg qd and ciprofloxacin 500 mg bid),the patient received physical therapy to recover *** month after discharge,the patient had no chest pain or dyspnea,and exhibited no elevation in inflammatory markers or new thoracic *** To our knowledge,this is the very first report of a case of thoracic PIS with pneumothorax.

关键词： Chest pain Pneumothorax Pleural effusion Neurologic deficits Spondylitis Case report

Enhanced remediation of chlorpyrifos-contaminated soil by immobilized strain Bacillus H27

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Journal of Environmental Sciences 2024年第10期144卷 172-184页

作者： Changrui Liu Shengfang Wen Shuhan Li Yu Tian Lanjun Wang Lusheng Zhu Jun Wang young mo kim Jinhua Wang National Engineering Research Center for Efficient Utilization of Soil and Fertilizer Resources Key Laboratory of Agricultural Environment in Universities of ShandongCollege of Resources and EnvironmentShandong Agricultural UniversityTaian 271018China Department of Civil and Environmental Engineering Hanyang UniversitySeongdong-guSeoul 04763Korea

Chlorpyrifos is a pesticide widely used in agricultural production with a relatively long residual half-life in *** the problem of residual chlorpyrifos is of universal *** this study,rice hull biochar was used as an immobilized carrier to prepare the immobilized strain H27 for the remediation of chlorpyrifos-contamination *** microorganisms after remediation were investigated by ecotoxicological *** immobilized strain H27 had the highest removal rate of chlorpyrifos when 10%bacterial solution was added to the liquid medium containing 0.075-0.109 mm diameter biochar cultured for 22 *** study on the removal of chlorpyrifos by immobilized strain H27 showed that the initial concentration of chlorpyrifos in solution was 25mg/L,and the removal rate reached 97.4%after 7 days of *** the soil,the removal rate of the immobilized bacteria group increased throughout the experiment,which was significantly higher than that of the free bacteria and biochar treatment *** Biolog-ECO test,T-RFLP and RT-RCR were used to study the effects of the soil microbial community and nitrogen cycling functional genes during chlorpyrifos *** was found that ICP group had the highest diversity index among the four treatment *** microflora of segment containing 114 bp was the dominant bacterial community,and the dominant microflora of the immobilized bacteria group was more evenly *** influence of each treatment group on ammonia-oxidizing bacteria(AOB)was greater than on ammonia-oxidizing archaea(AOA).This study offers a sound scientific basis for the practical application of immobilized bacteria to reduce residual soil pesticides.

关键词： Chlorpyrifos Immobilized microorganisms Soil remediation Soil microorganism

Effect of expanding nanocellulose sponge on nasal mucosal defects in an animal model

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Regenerative Biomaterials 2020年第1期7卷 47-52页

作者： JiWon kim Kyungbae Woo Jeong Mi kim Mi Eun Choi young-mo kim Su-Geun Yang Bong Sup Shim Jeong-Seok Choi Department of Otorhinolaryngology Inha UniversityCollege of Medicine27 Inhang-roJung-guIncheon 22332Republic of Korea Department of Chemical Engineering Inha University100 InharoMichuholguIncheon 22212Republic of Korea Department of New Drug Development Inha UniversityCollege of MedicineB-308Chungsuk Bldg.366Seohae-DaeroJung-GuIncheon 22332Republic of Korea

Nanocellulose has emerged for a wide range of applications in biomedical engineering because of its water absorption capacity,appropriate *** investigated the hemostatic and regenerative abilities of an expanding polyvinyl alcohol(PVA)-nanocellulose sponge on nasal mucosal defects.A 3 mm-diameter nasal defect was made in experimental *** were divided into four groups with control,vaseline,PVA and PVA-nanocellulose packing *** the defect was created,bleeding times and amounts were *** materials were removed on experimental day(ED)*** ED 3,7 and 14,histological analysis and immunohistochemical study for neutrophils were *** cells were counted and epithelial thicknesses were *** amounts and times in the vaseline packing group were smaller than in the PVA ***-nanocellulose group showed less neutrophils than in the other groups on ED *** epithelium thickness in the PVA-nanocellulose group was significantly smaller than in the control group at ED 7,but at ED 14,there was no significant intergroup *** group had a significant lower inflammatory cell count than the control group on ED ***-nanocellulose sponge applied to nasal mucosal defects can significantly enhance mucosal regeneration during early wound healing.

关键词： polyvinyl alcohol nasal mucosa nanocellulose

A New Encryption Mechanism Supporting the Update of Encrypted Data for Secure and Efficient Collaboration in the Cloud Environment

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Computer modeling in Engineering & Sciences 2025年第1期142卷 813-834页

作者： Chanhyeong Cho Byeori kim Haehyun Cho Taek-young Youn Department of Cyber Security Dankook UniversityYongin16890Republic of Korea Department of Software Soongsil UniversitySeoul07027Republic of Korea

With the rise of remote collaboration,the demand for advanced storage and collaboration tools has rapidly ***,traditional collaboration tools primarily rely on access control,leaving data stored on cloud servers vulnerable due to insufficient *** paper introduces a novel mechanism that encrypts data in‘bundle’units,designed to meet the dual requirements of efficiency and security for frequently updated collaborative *** bundle includes updated information,allowing only the updated portions to be reencrypted when changes *** encryption method proposed in this paper addresses the inefficiencies of traditional encryption modes,such as Cipher Block Chaining(CBC)and Counter(CTR),which require decrypting and re-encrypting the entire dataset whenever updates *** proposed method leverages update-specific information embedded within data bundles and metadata that maps the relationship between these bundles and the plaintext *** utilizing this information,the method accurately identifies the modified portions and applies algorithms to selectively re-encrypt only those *** approach significantly enhances the efficiency of data updates while maintaining high performance,particularly in large-scale data *** validate this approach,we conducted experiments measuring execution time as both the size of the modified data and the total dataset size *** show that the proposed method significantly outperforms CBC and CTR modes in execution speed,with greater performance gains as data size ***,our security evaluation confirms that this method provides robust protection against both passive and active attacks.

关键词： Cloud collaboration mode of operation data update efficiency

High mobility group box 1 in the central nervous system:regeneration hidden beneath inflammation

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Neural Regeneration Research 2025年第1期20卷 107-115页

作者： Hanki kim Bum Jun kim Seungyon Koh Hyo Jin Cho Xuelian Jin Byung Gon kim Jun young Choi Department of Brain Science Ajou University School of MedicineSuwonSouth Korea Department of Biomedical Sciences Ajou University Graduate School of MedicineSuwonSouth Korea Department of Neurology Ajou University School of MedicineSuwonSouth Korea Department of Geriatrics The Affiliated Suqian First People’s Hospital of Nanjing Medical UniversitySuqianJiangsu ProvinceChina

High-mobility group box 1 was first discovered in the calf thymus as a DNA-binding nuclear protein and has been widely studied in diverse fields,including neurology and ***-mobility group box 1 in the extracellular space functions as a pro-inflammatory damage-associated molecular pattern,which has been proven to play an important role in a wide variety of central nervous system disorders such as ischemic stroke,Alzheimer’s disease,frontotemporal dementia,Parkinson’s disease,multiple sclerosis,epilepsy,and traumatic brain *** drugs that inhibit high-mobility group box 1 as a damage-associated molecular pattern,such as glycyrrhizin,ethyl pyruvate,and neutralizing anti-high-mobility group box 1 antibodies,are commonly used to target high-mobility group box 1 activity in central nervous system *** it is commonly known for its detrimental inflammatory effect,high-mobility group box 1 has also been shown to have beneficial pro-regenerative roles in central nervous system *** this narrative review,we provide a brief summary of the history of high-mobility group box 1 research and its characterization as a damage-associated molecular pattern,its downstream receptors,and intracellular signaling pathways,how high-mobility group box 1 exerts the repair-favoring roles in general and in the central nervous system,and clues on how to differentiate the pro-regenerative from the pro-inflammatory *** targeting high-mobility group box 1 in the central nervous system may benefit from differentiating between the two functions rather than overall suppression of high-mobility group box 1.

关键词： central nervous system damage-associated molecular pattern ethyl pyruvate glycyrhizzin high mobility group box 1 inflammation neural stem cells neurodevelopment oligodendrocyte progenitor cells redox status regeneration

Maximizing biomass utilization: An integrated strategy for coproducing multiple chemicals

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Journal of Energy Chemistry 2025年第1期100卷 180-191页

作者： Byeongchan Ahn Sua Jo Jonggeol Na J.Jay Liu young-Ju kim Wangyun Won Department of Chemical and Biological Engineering Korea University Department of Chemical Engineering (Integrated process) Kyung Hee University Department of Chemical Engineering and Materials Science Ewha Womans University Department of Chemical Engineering Pukyong National University Resources Engineering Plant Research Department Korea Institute of Geoscience and Mineral Resources

Lignocellulosic biomass is one of the viable solutions to alleviate the global warming. However, the limited utilization of biomass majorly focused on cellulose and hemicellulose restricts the economic and environmental feasibilities. To cope with this issue, we proposed an integrated process of co-producing 1,6-hexanediol（1,6-HDO） with tetrahydrofuran and adipic acid from biomass, referred to as Strategy A. To compare the impacts of lignin upgrading and feedstock, Strategy B, which co-produces tetrahydrofuran alone, and Strategy C, which is the traditional route to produce 1,6-HDO from fossil fuels, were used. Heat networks are also designed to reduce operating costs and indirect carbon emissions due to energy consumption, saving 87% and 83% of the heat and cooling requirements, respectively, in Strategy A. The market competitiveness of Strategy A was evaluated by determining the minimum selling price through techno-economic analysis, and sustainability was thoroughly investigated by quantifying the environmental impacts through both midpoint and endpoint life-cycle assessments（LCAs）.Strategy A was found to be the most favorable both economically（USRDSCHARDOLLAR3,402/ton） and environmentally（-26.9 kg CO2eq.）. This indicates that lignin valorization is not only economically but also environmentally preferred. Finally, changes in economic and environmental feasibilities depending on economic, process, and environmental parameters were investigated using sensitivity and uncertainty analyses. The results of these analyses provide valuable insight into bio-based chemical production.

关键词： Carbon capture and utilization

A Rapid Adaptation Approach for Dynamic Air‑Writing Recognition Using Wearable Wristbands with Self‑Supervised Contrastive Learning

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Nano-Micro Letters 2025年第2期17卷 417-431页

作者： Yunjian Guo Kunpeng Li Wei Yue Nam‑young kim Yang Li Guozhen Shen Jong‑Chul Lee Department of Electronic Convergence Engineering Kwangwoon UniversitySeoul 01897South Korea Radio Frequency Integrated Circuit(RFIC)Bio Centre Kwangwoon UniversitySeoul 01897South Korea Department of Electronic Engineering Kwangwoon UniversitySeoul 01897South Korea School of Microelectronics Shandong UniversityJinan 250101People’s Republic of China State Key Laboratory of Integrated Chips and Systems Fudan UniversityShanghai 200433People’s Republic of China School of Integrated Circuits and Electronics Beijing Institute of TechnologyBeijing 100081People’s Republic of China

Wearable wristband systems leverage deep learning to revolutionize hand gesture recognition in daily *** existing approaches that often focus on static gestures and require extensive labeled data,the proposed wearable wristband with selfsupervised contrastive learning excels at dynamic motion tracking and adapts rapidly across multiple *** features a four-channel sensing array composed of an ionic hydrogel with hierarchical microcone structures and ultrathin flexible electrodes,resulting in high-sensitivity capacitance *** wireless transmission from a Wi-Fi module,the proposed algorithm learns latent features from the unlabeled signals of random wrist ***,only few-shot labeled data are sufficient for fine-tuning the model,enabling rapid adaptation to various *** system achieves a high accuracy of 94.9%in different scenarios,including the prediction of eight-direction commands,and air-writing of all numbers and *** proposed method facilitates smooth transitions between multiple tasks without the need for modifying the structure or undergoing extensive task-specific *** utility has been further extended to enhance human–machine interaction over digital platforms,such as game controls,calculators,and three-language login systems,offering users a natural and intuitive way of communication.

关键词： Wearable wristband Self-supervised contrastive learning Dynamic gesture Air-writing Human-machine interaction