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作者： Lin, Yu-Chen Nguyen, Ha Ly Thi Balas, Valentina Emilia Lin, Tsung-Chih Kuo, I-Chun Department of Automatic Control Engineering Feng Chia University Taichung Taiwan Ph.D. Program in Electrical and Communications Engineering Feng Chia University Taichung Taiwan Automatics and Applied Software Department Aurel Vlaicu University of Arad ROU Romania Department of Electronic Engineering Feng-Chia University Taichung Taiwan Electronic Control Technology Group RD Division Automotive Research Testing Center Changhua Taiwan

This paper presents an adaptive prediction-based control scheme for developing an ecological cruise control (ECC) system when simultaneous running on the roads with the continuous curves and up-down slopes, which aims to guarantee the driving safety, riding comfort of a vehicle and enhance its fuel efficiency as well. This study is mainly divided into two parts: vehicle longitudinal speed control and vehicle lateral stability control. Firstly, based on GPS data, topographical information, and a fuel consumption model, the prediction based on approximate dynamic programming (AdP) using adaptive fuzzy neural networks (FNNs) is employed to calculate appropriate control signal required for ecological driving. Secondly, to maintain the vehicle stable on the curved road, the vehicle lateral stability control is presented utilizing sliding mode control approach. The effectiveness of the proposed ECC system, in view of stability, improved riding comfort and fuel efficiency, has been validated on the CarSim environment. © 2020 - IOS Press and the authors. All rights reserved.

关键词： Adaptive control systems

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Peptide-Coated Bacteriorhodopsin-Based photoelectric Biosensor for detecting Rheumatoid Arthritis

Biosensors

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Biosensors 2023年第10期13卷 929-929页

作者： Chen, Hsiu-Mei Tsai, Yi-Hsuan Hsu, Chien-Yi Wang, Yong-Yi Hsieh, Cheng-En Chen, Jin-Hua Chang, Yu-Sheng Lin, Ching-Yu Department of Chemical Engineering National Taiwan University of Science and Technology Taipei10607 Taiwan Department of Family Medicine Wan Fang Hospital Taipei Medical University Taipei11696 Taiwan Division of Cardiology and Cardiovascular Research Center Department of Internal Medicine Taipei Medical University Hospital Taipei11031 Taiwan Division of Cardiology Department of Internal Medicine School of Medicine College of Medicine Taipei Medical University Taipei11031 Taiwan Taipei Heart Institute Taipei Medical University Taipei11031 Taiwan Graduate Institute of Data Science College of Management Taipei Medical University Taipei11031 Taiwan Office of Data Science Taipei Medical University Taipei11031 Taiwan Division of Allergy Immunology and Rheumatology Department of Internal Medicine Shuang Ho Hospital Taipei Medical University New Taipei City23561 Taiwan Division of Allergy Immunology and Rheumatology Department of Internal Medicine School of Medicine College of Medicine Taipei Medical University Taipei11031 Taiwan School of Medical Laboratory Science and Biotechnology College of Medical Science and Technology Taipei Medical University Taipei11031 Taiwan Ph.D. Program in Medical Biotechnology College of Medical Science and Technology Taipei Medical University Taipei11031 Taiwan

An effective early diagnosis is important for rheumatoid arthritis (RA) management. This study reveals a novel RA detection method using bacteriorhodopsin as a photoelectric transducer, a light-driven proton pump in purple membranes (PMs). It was devised by covalently conjugating a PM monolayer-coated electrode with a citrullinated-inter-alpha-trypsin inhibitor heavy chain 3 (ITIH3)542–556 peptide that recognizes the serum RA-associated autoantibodies. The direct serum coating decreased the photocurrents in the biosensor, with the reduction in the photocurrent caused by coating with an RA-patient serum that is significantly larger than that with a healthy-control serum (38.1% vs. 20.2%). The difference in the reduction in the photocurrent between those two serum groups widened after the serum-coated biosensor was further labeled with gold nanoparticle (AuNP)-conjugated anti-IgA (anti-IgA-AuNP) (53.6% vs. 30.6%). Both atomic force microscopic (AFM) and Raman analyses confirmed the sequential peptide, serum, and anti-IgA-AuNP coatings on the PM-coated substrates. The reductions in the photocurrent measured in both the serum and anti-IgA-AuNPs coating steps correlated well with the results using commercial enzyme-linked immunosorbent assay kits (Spearman rho = 0.805 and 0.787, respectively), with both a sensitivity and specificity close to 100% in both steps. It was shown that an RA diagnosis can be performed in either a single- or two-step mode using the developed biosensor. © 2023 by the authors.

关键词： Peptides

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Prediction of anterior cruciate ligament injury from MRI using deep learning

Prediction of anterior cruciate ligament injury from MRI usi...

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International Forum on Medical Imaging in Asia 2021, IFMIA 2021

作者： Truong, Nguyen Khanh Hung Nguyen, Thuan phuoc Kha, Quang Hien Le, Ngoc Hoang Le, Van Tuan Cao, Thi Luu, Ho Thanh Lam Le, Nguyen Quoc Khanh Kang, Jiunn-Horng International Master/Ph.D. Program in Medicine College of Medicine Taipei Medical University Taipei Taiwan Department of Orthopedic and Trauma Cho Ray Hospital Ho Chi Minh city Viet Nam Mechatronics Engineering Ho Chi Minh City University of Technology Ho Chi Minh city Viet Nam Graduate Institute of Biomedical Materials and Tissue Engineering College of Biomedical Engineering Taipei Medical University Taipei Taiwan Orthopedic and Rehabilitation Department University of Medicine and Pharmacy at Ho Chi Minh city Ho Chi Minh city Viet Nam Children's Hospital 2 Ho Chi Minh City Viet Nam Professional Master Program in Artificial Intelligence in Medicine College of Medicine Taipei Medical University Taipei Taiwan Research Center for Artificial Intelligence in Medicine Taipei Medical University Taipei Taiwan Department of Physical Medicine and Rehabilitation Taipei Medical University Hospital Taipei Taiwan Department of Physical Medicine and Rehabilitation School of Medicine College of Medicine Taipei Medical University Taipei Taiwan

ISBN: (数字)9781510644212

ISBN: (纸本)9781510644205

Knee injury emerges as one of the most common diseases, causing dislocation of knee joints, immobility, etc., in which the anterior cruciate ligament (ACL) injury is the most common one. The development of various artificial intelligence (AI) frameworks gained enormous attention in many areas, including injury prediction and health management via medical image analysis. The objective of the current study is to focus on a comprehensive high accurate prediction of ACL injury based on MRI medical images, and also demonstrate the ability of AI in practical and outline conceptual prediction and diagnosis frameworks for other types of knee injuries in the future. Our dataset comprised of knee MRI reports from Cho Ray Hospital, Vietnam which are composed of ACL and non-ACL injury patients. The MRI images were used as supporting data in the deep learning classification model with denseNet-121 algorithm. The successful establishment of an ACL injury diagnosis model from MRI will pave the way for us to develop more diagnostic models of other injuries in the body as well as the prediction of bone diseases. © 2021 SPIE.

关键词： Magnetic resonance imaging

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Radiomics in liver research: A paradigm shift in disease detection and staging

European Journal of Radiology Artificial Intelligence

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European Journal of Radiology Artificial Intelligence 2025年 2卷 100016-100016页

作者： Le, Minh Huu Nhat Kha, Hien Quang Tran, Nghia Minh Nguyen, phat Ky Huynh, Han H. Huynh, phat Kim Lam, Han Le, Nguyen Quoc Khanh International Master/Ph.D. Program in Medicine College of Medicine Taipei Medical University Taipei Taiwan AIBioMed Research Group Taipei Medical University Taipei 110 Taiwan Translational Science and Precision Medicine Talent Cultivation Program College of Medical Science and Technology Taipei Medical University Taipei 110 Taiwan International Master Program for Translational Science College of Medical Science and Technology Taipei Medical University Taipei 110 Taiwan Department of Industrial and Systems Engineering North Carolina A&T State University USA Industrial & Management Systems Engineering Department University of South Florida Tampa FL 33620 USA In-Service Master Program in Artificial Intelligence in Medicine College of Medicine Taipei Medical University Taipei 110 Taiwan Translational Imaging Research Center Taipei Medical University Hospital Taipei 110 Taiwan

AbstractThis narrative review explores radiomics in the broader context of liver disease research, an interdisciplinary field bridging medical imaging, oncology, and data science. It begins with an introduction to data analysis techniques, from foundational methods like descriptive statistics, comparative and regression analysis, and survival analysis, to advanced approaches like machine learning (ML), meta-analysis, and bioinformatics. Contextualizing these methodologies within liver disease research enhances our understanding of liver diseases. The focus is on radiomics, an emerging field, which is first placed in historical context before its applications are explained across fatty liver diseases (FLd), fibrosis, cirrhosis, and liver cancers. The role of radiomics in early detection, disease staging, and outcome prediction, particularly as a non-invasive alternative to liver biopsy, is analyzed in-depth. Current imaging modalities for liver cancer diagnosis are also examined, highlighting their advantages and limitations. Alongside radiomics, these imaging tools enable comprehensive liver assessment. Lastly, the integration of radiomics with other data types, especially genomic data, is explored, emphasizing its role in a holistic approach to liver disease management. The review concludes with a forward-looking perspective on future directions and advancements in radiomics and liver cancer research, addressing the challenges and opportunities in the field. It underscores the transformative impact of these developments on liver cancer research, patient care, personalized medicine, and clinical decision-making.

关键词： AFP alpha-fetoprotein AI artificial intelligence AST aspartate transaminase AUC area under the curve CCrCC clear cell renal cell carcinoma CEUS contrast-enhanced ultrasound CNNs convolutional neural networks dCNN deep convoluted neural network dOR diagnostic odds ratio FLd fatty liver disease GWAS genome-wide association studies HCC hepatocellular carcinoma MAFLd metabolic associated fatty liver disease ML machine learning MRE magnetic resonance elastography NAFLd nonalcoholic fatty liver disease NASH nonalcoholic steatohepatitis NPV negative predictive value PPV positive predictive value VCTE vibration-controlled transient elastography Radiomics Liver disease Cancer Non-invasive diagnostic techniques Presicion medicine deep learning Machine learning

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A dual nociceptin and mu opioid receptor agonist exhibited robust antinociceptive effect with decreased side effects

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European Journal of Medicinal Chemistry 2023年 258卷 115608页

作者： Hsu, Ying-Ting Chen, Shen-Ren Chang, Yung-Chiao Chang, Hsiao-Fu Yeh, Teng-Kuang Chuang, Jian-Ying Loh, Horace H. Hsieh, Hsing-Pang Ueng, Shau-Hua Yeh, Shiu-Hwa Institute of Biotechnology and Pharmaceutical Research National Health Research Institutes Miaoli County 35053 Taiwan School of Pharmacy College of Medicine National Cheng Kung University Tainan 701 Taiwan The Ph.D. Program in Medical Neuroscience College of Medical Science and Technology Taipei Medical University and National Health Research Institutes Taipei 110 Taiwan Bioland Laboratory (Guangzhou Regenerative Medicine and Health Guangdong Laboratory) Guangzhou 10005 China Department of Pharmacology Medical School University of Minnesota Minneapolis 55455-0217 MN United States

The compelling demand of a consummate analgesic medication without addiction is rising due to the clinical mistreatment. Additionally, the series of severe untoward effects usually deterred the utilization while coping with serious pain. As a possible turning point, we revealed that compound 14 is a dual agonist of mu opioid receptor (MOR) and nociceptin-orphanin FQ opioid peptide (NOP) receptor in this study. More importantly, compound 14 achieves pain relieving at very small doses, meanwhile, reduces several unwanted side effects such as constipation, reward, tolerance and withdrawal effects. Here, we evaluated the antinociception and side effects of this novel compound from wild type and humanized mice to further develop a safer prescription analgesic drug. © 2023 Elsevier Masson SAS

关键词： Addiction Antinociception Antinociceptive tolerance Constipation Mu-opioid receptor Reward effect

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#41 : The Effectiveness of GnRH Agonist Administration Prior to Frozen-Thawed Embryo Transfer with Artificial Cycle: A Systematic Review and Meta-Analysis of different Protocols and Infertile Populations

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Fertility & Reproduction 2023年第4期5卷 337-337页

作者： Nguyen Tuong Ho dang Khanh Ngan Ho Xuan Hong Tomai Yu-Ming Hu Yen-Ping Ho Shyr-Yeu Lin Ruey-Sheng Wang Yi-Xuan Lee Shun-Jen Tan Shu-Huei Kao Chii-Ruey Tzeng International Ph.D. Program in Medicine College of Medicine Taipei Medical University Taipei Taiwan Taipei Fertility Center Taipei Taiwan School of Nutrition and Health Sciences College of Nutrition Taipei Medical University Taipei Taiwan Office of International Relations Ho Chi Minh City University of Medicine and Pharmacy Ho Chi Minh City Vietnam School of Medical Laboratory Science and Biotechnology College of Medical Science and Technology Taipei Medical University Taipei Taiwan Ph.D. Program in Medical Biotechnology College of Medical Science and Technology Taipei Medical University Taipei Taiwan

Background and Aims: We investigated the use of GnRHa pretreatment with different protocols and durations of treatment on pregnancy outcomes in women undergoing FET with artificial cycles (AC-FET). Method: A systematic search of PubMed, EMBASE, Google Scholar, and Cochrane library was performed to include only eligible peer-reviewed studies in English published before September 01, 2022. This review was registered on PROSPERO (CRd42022299259) Results: A total of 41 studies (43021 individuals) were included with low to moderate risk of bias. Overall, GnRHa pretreatment improved clinical pregnancy rate (CPR) (OR=1.27, 95%CI:1.12-1.44), implantation rate (IR) (OR=1.24, 95%CI:1.07-1.45), live birth rate (LBR) (OR=1.31, 95%CI:1.07-1.60) and endometrial thickness (Md=0.16, 95%CI:0.03-0.30). Subgroup analyses of randomized and non-randomized studies both demonstrated the benefits of GnRHa pretreatment in CPR, IR, and LBR. Protocols using depot GnRHa (OR=1.19, 95%CI:1.04-1.36) showed a better LBR than daily GnRHa (OR=1.04, 95%CI:0.93-1.16). Women administered GnRHa for more than one cycle had better CPR (OR=2.01, 95%CI:1.29-3.13) and IR (OR=2.14, 95%CI:0.98-4.67) than those treated with GnRHa within one cycle before FET ([OR=1.18, 95%CI:1.04-1.33] and [OR=1.16, 95%CI:1.01-1.32], respectively). In women with PCOS, pituitary suppression with GnRHa significantly improved CPR (OR=1.24, 95%CI:0.98-4.67), LBR (OR=1.22, 95%CI:1.05-1.42) and reduced the miscarriage rate (OR=0.75, 95%CI:0.59-0.95). In contrast, women with regular menstruation had a higher endometrial thickness (Md=0.16, 95%CI: 0.04-0.28) but no significant improvements in pregnancy outcomes. GnRHa pretreatment considerably improved IR (OR=2.21, 95%CI:1.60-3.07) in women with adenomyosis and CPR (OR=1.74, 95%CI:1.12-2.71), and LBR (OR=1.67, 95%CI:1.06-2.63) in women with endometriosis. Conclusion: GnRHa pretreatment, especially with longer suppression duration and the use of depot GnRHa, demonstrates a beneficial rol

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A call to action to address escalating global threats to academic research

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The Innovation 2025年第4期6卷 17-19页

作者： Gaelle Piret Fun Man Fung Josie Fullerton Giuseppe Fico dmitriy Ponkratov Wenxin Chen daniela Latorre Kirsty Y.Wan Nima Aghaeepour Jules Welgryn Adeel Razi Patricia Silveyra Ahmet Altun Renata Z.Jurkowska Alice C.Hughes Joy Wolfram INSERM U1205 UGA38400 Saint Martin d’HèresFrance School of Chemistry University College DublinD04 C1P1 BelfieldIreland UCD Geary Institute for Public Policy University College DublinD04 N9Y1 DublinIreland School of Cardiovascular&Metabolic Health University of GlasgowG128TA GlasgowUK European Alliance for Medical and Biological Engineering and Science 3001 LeuvenBelgium Life Supporting Technologies Universidad Politécnica de Madrid28040 MadridSpain Siemens Digital Industries Software B908BG SolihullUK Department of Philosophy of Science and Technology University of Science and Technology of ChinaHefei 230026China Institute of Microbiology ETH Zurich8093 ZurichSwitzerland Living Systems Institute&Department of Mathematics and Statistics University of ExeterEX44QD ExeterUK Department of Anesthesiology Painand Perioperative MedicineDepartment of PediatricsDepartment of Biomedical Data ScienceStanford University School of MedicineStanfordCA 94305USA UniversitéParis Nanterre 92000 NanterreFrance Turner Institute for Brain and Mental Health School of Psychological Sciencesand Monash Biomedical ImagingMonash UniversityClaytonVIC 3800Australia Wellcome Centre for Human Neuroimaging University College LondonWC1N 3AR LondonUK CIFAR Azrieli Global Scholars Program TorontoON M5G 1M1Canada Department of Environmental and Occupational Health Indiana University School of Public Health BloomingtonBloomingtonIN 47408USA Department of Pharmacology Sivas Cumhuriyet UniversitySivas 58140Turkey Division of Biomedicine School of BiosciencesCardiff UniversityCF103AX CardiffUK School of Biological Sciences University of Hong KongHong Kong SAR 999077China Australian Institute for Bioengineering and Nanotechnology The University of QueenslandBrisbaneQLD 4072Australia School of Chemical Engineering The University of QueenslandBrisbaneQLD 4072Australia

This article is a call to action to address escalating threats to scientific progress that affect academic researchers across the *** threats include public mistrust of science,challenges in translating academic research to end-user applications,a disconnect between academics and policymakers,emerging barriers to international collaboration,and a reliance on conventional metrics to evaluate academic *** article presents various calls to action informed by exemplary approaches across the globe that serve as frameworks to drive beneficial transformation for researchers,academic institutions,and society.

关键词： academic research calls action global threats public mistrust sciencechallenges translating academic research disconnect academics policymakers call action translation research

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Validating the association of Oxford classification and renal function deterioration among Taiwanese individuals with Immunoglobulin A nephropathy

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Scientific Reports 2023年第1期13卷 1-14页

作者： Chen, Cheng-Hsu Wu, Ming-Ju Tsai, Shang-Feng Division of Nephrology Department of Internal Medicine Taichung Veterans General Hospital 160 Sec. 3 Boulevard Taichung 407 Taiwan Department of Life Science Tunghai University Taichung Taiwan Department of Post-Baccalaureate Medicine College of Medicine National Chung Hsing University Taichung Taiwan Ph. D. Program in Tissue Engineering and Regenerative Medicine College of Medicine National Chung Hsing University Taichung Taiwan

Validation of the Oxford classification (MEST and MEST-C) for Immunoglobulin A nephropathy (IgAN) in the Taiwanese population is lacking. Our study aimed to validate this classification and assess individual lesion impact. We conducted a retrospective cohort study at Taichung Veterans General Hospital, Taiwan (Jan 2011–Jul 2023). Composite renal outcomes were evaluated using clinical conditions and estimated glomerular filtration rate (eGFR). We used Kaplan–Meier, univariable/multivariable logistic regression and ROC curves. Subgroup analysis considered eGFR < or ≥ 30.0 ml/min/1.73 m². In 366 renal biopsies, serum creatinine was 1.34 mg/dl, eGFR 53.8 ml/min/1.73 m², urine protein–creatinine ratio 1159 mg/g. T1/T2 lesions had lowest baseline eGFR (39.6/11.5 ml/min/1.73 m²), correlating with poorest renal survival (median survival 54.7/34.4 months). Univariable analysis linked all individual variables to worse renal outcomes. Multivariable analysis (MEST/MEST-C) showed only T1/T2 linked to worse outcomes. T score had highest predictive power (AUC 0.728, sensitivity 60.2%, specificity 83.6%), with MEST having high AUC (0.758). No extra predictive power was seen transitioning MEST to MEST-C. Subgroup analysis (eGFR < 30.0 ml/min/1.73 m²) associated C1 with improved renal outcomes (odds ratio 0.14, 95% CI 0.03–0.65). T lesion correlated with worse outcomes across subgroups. The T lesion consistently correlated with worse renal outcomes across all groups and baseline statuses. Integrating the C lesion into the transition from MEST to MEST-C did not enhance predictive power. Importantly, the C1 lesion was linked to improved renal outcomes in the eGFR < 30.0 ml/min/1.73 m² subgroup, likely due to treatment effects. © 2023, The Author(s).

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Insights into the removal of microplastics from water using biochar in the era of COVId-19: A mini review

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Case Studies in Chemical and Environmental engineering 2021年 4卷

作者： Abuwatfa, Waad H. Al-Muqbel, dana Al-Othman, Amani Halalsheh, Neda Tawalbeh, Muhammad Department of Chemical Engineering American University of Sharjah Sharjah United Arab Emirates Materials Science and Engineering Ph.D. Program American University of Sharjah Sharjah United Arab Emirates Department of Civil Engineering The Hashemite University PO. Box 330127 Zarqa Jordan Sustainable and Renewable Energy Engineering University of Sharjah Sharjah United Arab Emirates

Microplastics pollution is a modern-day prevalent challenge that poses serious threats to the general wellbeing and sustainability of the planet. due to their innately persistent nature, extreme durability, and high stability, they exhibit long residence time and could be transferred through the ecological chains. Current days have witnessed an increase in the accumulation of microplastics waste and debris. This is due to the protective measures imposed by governments and the World Health Organization (WHO) as part of the containment and mitigation efforts of the COVId-19 pandemic. Therefore, the development of versatile, robust, flexible, and efficient removal systems has become a necessity in order to control microplastics pollution. Herein, we review the repercussions of the pandemic on the state of microplastics contamination, sources and identification methods of microplastics in water, their toxicity and risks on the environment, as well as their degradation and conventional removal methods. This review focuses on adsorption and the use of biochar as one of the emerging adsorbents for the removal of microplastics. The efficiency of adsorption using biochar, mechanisms, and applications are discussed. The review addresses the increased rates of microplastics occurrence especially during the era of COVId-19, which requires more efficient and lower cost removal methods. The major conclusions drawn from this review include emphasizing the significant potential of adsorption processes in the removal of microplastics. Biochar is present among the available and most efficient biomass adsorbents especially when combined with other materials. Composite biochar materials play an important role in enhancing the removal and immobility of microplastics. However, more research is required to investigate this at a larger scale, improve efficiency and immobilization techniques. © 2021 The Authors

关键词： Adsorption Biochar COVId-19 Microplastics pollution Removal efficiency Water treatment

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Sex-differences in the effects of indoor air pollutants and household environment on preschool child cognitive development

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science of the Total Environment 2023年 860卷 160365页

作者： Zou, Ming-Lun Huang, Hsiao-Chun Chen, Yi-Hua Jiang, Chuen-Bin Wu, Chih-da Lung, Shih-Chun Candice Chien, Ling-Chu Lo, Yu-Chun Chao, Hsing Jasmine School of Public Health College of Public Health Taipei Medical University Taipei Taiwan Neuroscience Research Center Taipei Medical University Taipei Taiwan Department of Pediatric Gastroenterology Hepatology and Nutrition MacKay Children's Hospital Taipei Taiwan Department of Medicine MacKay Medical College New Taipei City Taiwan Department of Geomatics National Cheng Kung University Tainan Taiwan National Institute of Environmental Health Sciences National Health Research Institutes Miaoli Taiwan Research Center for Environmental Changes Academia Sinica Taipei Taiwan Ph.D. Program in Medical Neuroscience College of Medical Science and Technology Taipei Medical University Taipei Taiwan

Air pollution, outdoor residential environment, indoor household characteristics, and parental mental health are potential factors associated with child development. However, few studies have simultaneously analyzed the association between the aforementioned factors and preschool child (aged 2–5 years) development. This study investigated the effects of those factors on child development and their potential modifying effects. A total of 142 participants were recruited from a birth cohort study in the Greater Taipei Area, and the evaluation was conducted at each participant's home from 2017 to 2020. Child cognitive development was assessed by psychologists using the Bayley Scales of Infant and Toddler development and the Wechsler Preschool & Primary Scale of Intelligence. Household air pollutants, outdoor residential environment, indoor household characteristics, parental mental health, and other covariates were evaluated. Multiple regressions were used to examine the relationships between child development and covariates. Stratified analysis by child sex and parental mental health was conducted. Average indoor air pollutant levels were below Taiwan's Indoor Air Quality Standards. After adjustment for covariates, the indoor total volatile organic compounds (TVOCs) level was significantly associated with poor child development (per interquartile range increase in the TVOC level was associated with a 5.1 percentile decrease in child cognitive development). Sex difference was observed for the association between TVOC exposure and child development. Living near schools, burning incense at home, purchasing new furniture, and parental anxiety were related to child development. Indoor TVOC level was associated with poor child cognitive development, specifically with the girls. Indoor and outdoor residential environment and parental anxiety interfered with child development. TVOCs should be used cautiously at home to minimize child exposure. A low-pollution living environmen

关键词： Land use

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