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5th Friendly City International Conference: Enhancing Culture, Community and Environment, FCIC 2019

作者： Aditya, J.T. Loebis, M.N. Marpaung, B.O.Y. Lindarto, D. Abdillah, W. Program of Aechitecture Department Faculty of Engineering Universitas Sumatera Utara Jl. dr. Mansyur Kampus USU Medan20155 Indonesia Master Degree Program of Architecture Department Faculty of Engineering Universitas Sumatera Utara Jl. dr. Mansyur Kampus USU Medan20155 Indonesia

Generally, Shop houses in urban area appear dominantly, because it is very rational in term of economic and financial such as "cost and benefit analysis", is that absolutely right? These believed is a kind of simplification of the main issues in term of modernist and materialistic philosophy, since the local culture and the local architecture has been totally denied. A number of method has been applied to found and to identified local urban vernacular architecture. One among them is research on shop houses which socially adaptable with individual life of modern society but also accommodate the social aspect of local traditional life. This research basically is using qualitative method and focused on genius loci in shop houses in urban secondary cities in Sumatera Utara, where local culture and local architecture is still dominant. In this research Brastagi city in Karo regency will be posed as a study case. There is the main hypothesis on the spread of shop houses into the urban secondary urban cities because the shop houses have the great potential to make an adaptation with local culture and local architecture. In fact, the problems in this study is very wide, consequently, although research focused on architecture, other discipline has to be discussed namely philosophy and anthropology. With these method, the research revealing why the local peoples can adapt themselves socially and culturally with the shop houses. A number of research has focused on genius loci by using qualitative methods in order to find genius loci in architecture of Urban Shop Houses in Karo. © Published under licence by IOP Publishing Ltd.

关键词： Houses

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Title Biodecolorization of Biogas Power Plant Effluent Derived from Anaerobically Digested Distillery Wastewater by Natural Selected Pseudomonas Putida from Activated Sludge of the Wastewater Treatment Plant

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SSRN 2023年

作者： Kumkaew, Ponruedee Suaisom, Pitchaya Mukkata, Kanokwan Koonaphapdeelert, Sirichai Sawatdeenarunat, Chayanon Nitayavardhana, Saoharit Master’s Degree Program in Environmental Engineering Faculty of Engineering Chiang Mai University Chiang Mai50200 Thailand Graduate School Chiang Mai University Chiang Mai50200 Thailand Energy Research and Development Institute – Nakornping Chiang Mai University Chiang Mai50200 Thailand Department of Environmental Engineering Faculty of Engineering Chiang Mai University Chiang Mai50200 Thailand Asian Development College for Community Economy and Technology Chiang Mai Rajabhat University Chiang Mai50300 Thailand Center of Excellence in Materials Science and Technology Chiang Mai University Chiang Mai50200 Thailand

The main aim of this study was to utilize naturally selected Pseudomonas putida strains isolated from activated sludge in a wastewater treatment plant, for the purpose of bioremediation of biogas effluent to remove organic content and color. Biogas effluent from anaerobically digestion of distillery wastewater treated with P. putida at the best evaluated condition (sample concentration of 50% v/v, agitation and aeration rates of 250 rpm and 1.0 vvm for 6 days) showed significant decolorization and organic removal efficacies of 34.29 ± 0.87% and 38.94 ± 0.63%, respectively. Bioremediation efficiency was dependent on bacterial growth which organic content in sample and dissolved oxygen during cultivation were key factors. The natural selected bacterium could tolerate higher organic content and work synergistically with other indigenous microorganisms found in the biogas effluent. Consequently, bioremediation of biogas effluent by natural selected P. putida is feasible to apply in biogas power plant where sterilization is not necessary in the process. © 2023, The Authors. All rights reserved.

关键词： Bioremediation

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Low-to-Moderate Arsenic Exposure and Urothelial Tract Cancers with a Long Latent Period of Follow-Up in an Arseniasis Area

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Journal of Epidemiology and Global Health 2023年第4期13卷 807-815页

作者： Liao, Pei-Ju Lee, Chih-Hung Wang, Shu-Li Chiou, Hung-Yi Chen, Chien-Jen Seak, Chen-June Wu, I-Wen Hsu, Kuang-Hung International Program of Health Informatics and Management Chang Gung University Taoyuan Taiwan Master Degree Program in Health and Long-Term Care Industry Chang Gung University Taoyuan Taiwan Division of Nephrology Chang Gung Memorial Hospital Keelung Taiwan Department of Dermatology Kaohsiung Chang Gung Memorial Hospital Kaohsiung Taiwan National Institute of Environmental Health Sciences National Health Research Institutes Miaoli Taiwan Institute of Population Health Sciences National Health Research Institutes Zhunan Miaoli County Taiwan Master Program in Applied Epidemiology College of Public Health Taipei Medical University Taipei Taiwan Genomics Research Center Academia Sinica Taipei Taiwan Department of Emergency Medicine New Taipei Municipal Tucheng Hospital New Taipei City Taiwan Department of Emergency Medicine Lin-Kou Medical Center Chang Gung Memorial Hospital Taoyuan Taiwan College of Medicine Chang Gung University Taoyuan Taiwan Laboratory for Epidemiology Department of Health Care Management and Healthy Aging Research Center Chang Gung University No. 259 Wen-Hwa 1St Road Kwei-Shan Taoyuan 333 Taiwan Research Center for Food and Cosmetic Safety College of Human Ecology Chang Gung University of Science and Technology Taoyuan Taiwan Department of Safety Health and Environmental Engineering Ming Chi University of Technology New Taipei City Taiwan

Background: Arsenic exposure can cause adverse health effects. The effects of long-term low-to-moderate exposure and methylations remain unclear. Objective: This study aims to examine the association between low-to-moderate arsenic exposure and urothelial tract cancers while considering the effects of methylation capacity. Methods: In this study, 5,811 participants were recruited from an arseniasis area in Taiwan for inorganic arsenic metabolite analysis. This follow-up study was conducted between August 1995 and December 2017. We identified 85 urothelial tract cancers in these participants, including 49 bladder and 36 upper urothelial tract cancer cases. A Cox proportional hazards model was employed. Results: The analyses revealed a significant association between concentrations of inorganic arsenic in water > 100 ug/L and bladder cancer occurrence, with a hazard ratio (HR) of 4.88 (95% CI 1.35–17.61). A monotonic trend was observed between concentrations of inorganic arsenic in water (from 0 to > 100 ug/L) and the incidence of urothelial tract cancer, including bladder cancer (p < 0.05) and upper urothelial tract cancers (p < 0.05). Participants with a lower primary methylation index or higher secondary methylation index had a prominent effect. Conclusions: Rigorous regulations and active interventions should be considered for populations with susceptible characteristics. © 2023, The Author(s).

关键词： Bladder cancer Dose–response relationship Long latency arsenic exposure Methylation capacity Upper urothelial tract cancers

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Development of low-cost tool for assessing chlorophyll content using the mobile-phone camera

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AIP Conference Proceedings 2024年第1期3086卷

作者： Wahyu Nurkholis Hadi Syahputra Chatchawan Chaichana Ramnarong Wanison Braja Manggala Graduate Master’s Degree Program in Energy Engineering Department of Mechanical Engineering Faculty of Engineering Chiang Mai University Chiang Mai 50200 Thailand Energy Technology for Environment Research Center Department of Mechanical Engineering Faculty of Engineering Chiang Mai University Chiang Mai 50200 Thailand Department of Mechanical Engineering Faculty of Engineering Chiang Mai University Chiang Mai 50200 Thailand

Leaves can be used to assess the health of a plant. The chlorophyll content and nitrogen status of plants might be used to assess plant health. Chlorophyll content of plant leaves is measurable in the laboratory using dimethyl sulfoxide or the Kjeldahl technique. These destructive investigations of plant tissues accurately evaluates chlorophyll concentration and nitrogen status. However, this procedure is costly and time-consuming. Using a SPAD instrument, non-destructive chlorophyll measurements were performed. However, the price of the instrument is high. This research intends to develop a technique for detecting chlorophyll content using a smartphone’s built-in camera. The approach used is an advancement of ground-based remote sensing technology. The object of this research is maize. An RGB camera on a mobile phone was used to gather data on the greenness level of the leaf. Concurrently, the SPAD value was measured to determine the chlorophyll content. In this study, there were three primary phases, capturing leaf images with geotags, leaf image processing, and vegetation index (VIs) analysis. This research demonstrated that a mobile camera has potential as a tool for measuring chlorophyll content depending on the level of leaf greenness. Additionally, the GPS function on each data provides the chlorophyll distribution in a field.

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Using a hybrid neural network architecture for DNA sequence representation: A study on N4-methylcytosine sites

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Computers in Biology and Medicine 2024年 178卷 108664-108664页

作者： Nguyen, Van-Nui Ho, Trang-Thi Doan, Thu-Dung Le, Nguyen Quoc Khanh University of Information and Communication Technology Thai Nguyen University Thai Nguyen Viet Nam Department of Computer Science and Information Engineering TamKang University New Taipei251301 Taiwan International Degree Program in Animal Vaccine Technology International College National Pingtung University of Science and Technology Pingtung Taiwan Professional Master Program in Artificial Intelligence in Medicine College of Medicine Taipei Medical University Taipei110 Taiwan Research Center for Artificial Intelligence in Medicine Taipei Medical University Taipei110 Taiwan AIBioMed Research Group Taipei Medical University Taipei110 Taiwan Translational Imaging Research Center Taipei Medical University Hospital Taipei110 Taiwan

N4-methylcytosine (4mC) is a modified form of cytosine found in DNA, contributing to epigenetic regulation. It exists in various genomes, including the Rosaceae family encompassing significant fruit crops like apples, cherries, and roses. Previous investigations have examined the distribution and functional implications of 4mC sites within the Rosaceae genome, focusing on their potential roles in gene expression regulation, environmental adaptation, and evolution. This research aims to improve the accuracy of predicting 4mC sites within the genome of Fragaria vesca, a Rosaceae plant species. Building upon the original 4mc-w2vec method, which combines word embedding processing and a convolutional neural network (CNN), we have incorporated additional feature encoding techniques and leveraged pre-trained natural language processing (NLP) models with different deep learning architectures including different forms of CNN, recurrent neural networks (RNN) and long short-term memory (LSTM). Our assessments have shown that the best model is derived from a CNN model using fastText encoding. This model demonstrates enhanced performance, achieving a sensitivity of 0.909, specificity of 0.77, and accuracy of 0.879 on an independent dataset. Furthermore, our model surpasses previously published works on the same dataset, thus showcasing its superior predictive capabilities. © 2024 Elsevier Ltd

关键词： Embeddings

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Optimization of vertical spacing between each row of a vertical shelf to meet minimum sunlight requirement for strawberries

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AIP Conference Proceedings 2024年第1期3086卷

作者： Ar Man Chatchawan Chaichana Suwimon Wicharuck Ramnarong Wanison Damrongsak Rinchumphu Graduate Master’s Degree Program in Energy Engineering Department of Mechanical Engineering Faculty of Engineering Chiang Mai University Chiang Mai 50200 Thailand Department of Mechanical Engineering Faculty of Engineering Chiang Mai University Chiang Mai 50200 Thailand Energy Technology for Environment Research Center Faculty of Engineering Chiang Mai University Chiang Mai 50200 Thailand Department of Civil Engineering Faculty of Engineering Chiang Mai University Chiang Mai 50200 Thailand

Vertical farming (VF) allows for more plants to be cultivated in a particular land area, maximizing land-use efficiency. VF employs multileveled shelves enabling crops to be planted at each level. This paper aims to develop an optimization model that could generate a required setup of a vertical shelf that would meet the sunlight requirements of strawberries. Firstly, the simulation model was developed using Rhino (Rhinoceros) software with Grasshopper plugin, which can predict the sunlight availability at each VF shelf level. The model is validated by the experiment in Chiang Mai province, Thailand, at an elevation higher than 310 m above mean sea level. The experiment set up of the VF shelf with three levels was constructed, and the solar radiation values were recorded and validated against the radiation predicted by the model. The validated model is used to simulate the sunlight radiation on each level of the shelf for different shelf designs with varying vertical spacings between each level. These sets of predicted radiation values and vertical spacings are used to train the ANN (Artificial Neural Network) model. The ANN simulation model was developed using MATLAB software with Simulink and Neural Net Fitting App. The trained ANN model has an MSE (Mean Squared Error) of 0.00019621 and an R (the correlation coefficient) value of 0.9992. As a result, the optimization model could successfully give out the vertical spacing between each level of the VF shelf with an input of desired sunlight availability on each level. For the PPFD (Photosynthetic Photon Flux Density) of 600 µmol/m2/s on both levels, the spacing should be 51.34 cm from the top to the middle (y1) and 48.69 cm from the middle to the bottom (y2). To receive 600 and 500 µmol/m2/s on the middle and bottom level respectively, the levels should be placed 66.77 cm (y1) and 30.89 cm (y2) apart.

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Thermodegradation characterization of microplastics: Dispersion effect and pyrolysis kinetics by artificial intelligence

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Chemical engineering Journal 2023年 457卷

作者： Chen, Wei-Hsin Sun, Shih-Che Ocreto, Jherwin B. Nguyen, Thanh-Binh Lam, Su Shiung Park, Young-Kwon Dong, Cheng-Di Department of Aeronautics and Astronautics National Cheng Kung University Tainan701 Taiwan Research Center for Smart Sustainable Circular Economy Tunghai University Taichung407 Taiwan Department of Mechanical Engineering National Chin-Yi University of Technology Taichung411 Taiwan International Master Degree Program on Energy National Cheng Kung University Tainan701 Taiwan Department of Marine Environmental Engineering National Kaohsiung University of Science and Technology Kaohsiung City81157 Taiwan Universiti Malaysia Terengganu 21030 Kuala Nerus Terengganu Malaysia Johor Johor Bahru81310 Malaysia University Centre for Research and Development Department of Chemistry Chandigarh University Gharuan Punjab Mohali India School of Environmental Engineering University of Seoul Seoul02504 Korea Republic of

The research of pyrolytic thermodegradation of plastic wastes has received much attention. However, detailed combustion behavior and pyrolysis kinetics of microplastics are still absent in the current research. Understanding the characteristics and kinetics of microplastic pyrolysis is vital for designing and optimizing operational conditions. Adding silica to high-density polyethylene (HDPE) microplastics can effectively avoid the agglomeration of microplastics during pyrolysis, thereby better elucidating their thermodegradation. In the experiment, HDPE microplastics are mixed with SiO2 at different weight ratios (10 %, 20 %, 50 %, 70 %, and 100 %) to observe the dispersion effect on the microplastic thermodegradation. The results suggest that less than 20 % of PE in the mixture can retain microplastic pyrolysis characteristics. In combustion analysis, 10 % PE undergoes a faster thermo-oxidation reaction than pure HDPE. This study applies the independent parallel reaction (IPR) model and particle swarm optimization (PSO) algorithm to investigate microplastic pyrolysis kinetics. The pyrolysis activation energy is between 273.89 and 292.90 kJ‧mol−1, with fit quality high than 95 %, and rises with decreasing dispersion degree and increasing heating rate. This indicates that microplastic thermodegradation has low activation energy and is affected by heat transfer rate. The Py-GC/MS analysis indicates that up to 83.6 % of alkene and 52.3 % of products comprise high carbon numbers (17-Pentatriacontene and 1-Octatriacontene), respectively, suggesting the suppression of the secondary reaction of microplastics in the pyrolysis reaction. The calculated kinetic parameters are beneficial for understanding microplastic thermodegradation characteristics and can provide useful information for reactor design in industrial pyrolyzers or gasifiers. © 2023 Elsevier B.V.

关键词： Thermogravimetric analysis

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Physiological Biomarkers for Assessment of Pain during Routine Blood Tests for Older Adults with Dementia in Long-Term Residential Care

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Journal of the American Medical Directors Association 2024年第8期25卷 105050页

作者： Feng, Po-Chung Khan, Mohammad Anwar Yeh, Ting-Ting Shieh, Wann-Yun Tsai, Hsiu-Hsin Master Degree Program in Health and Long-term Care Industry College of Medicine Chang Gung University Taoyuan Taiwan Department of Internal Medicine National Taiwan University Hospital Hsinchu Branch Hsinchu Taiwan Department of Computer Science and Information Engineering Chang Gung University Taoyuan Taiwan Division of Endocrinology and Metabolism Chang Gung Memorial Hospital at Linkou Taoyuan Taiwan School of Nursing College of Medicine Chang Gung University Taoyuan Taiwan Department of Psychiatry Chang Gung Memorial Hospital at Linkou Taoyuan Taiwan

Objective: Evaluating pain in individuals with dementia can be difficult when verbal communication is limited. Vocalization has emerged as a potential avenue for assessments of pain in nonverbal populations. This study aimed to evaluate if physiological assessments of vocalization were correlated with observational assessments of pain during routine blood tests for persons with dementia. Design: A cross-sectional descriptive study. Setting and Participants: Sixty older adults (aged ≥65 years old) with dementia requiring routine finger puncture and peripheral venipuncture for routine blood tests were recruited by purposive sampling from 3 long-term care facilities in Taiwan. Methods: Observational assessments were conducted with the Pain Assessment in Advanced Dementia (PAINAD) instrument;physiological biomarkers of vocalization were assessed with a noninvasive sensing device and microphone (NISDM). Assessments were conducted simultaneously in one session during situations of increasing pain levels: at rest, making a sound, finger puncture, and peripheral venipuncture. PAINAD scores were compared with signal recording measures from the NISDM. Analysis of variance and Pearson correlation coefficient assessed correlations between observational and physiological measures. Results: Most participants were female (63.3%);mean age was 81.27 years (SD = 9.69);Clinical Dementia Rating was 2.23 ± 0.70;and Mini-Mental State Examination was 7.07 ± 6.95. Signal recording measures using the NISDM during finger puncture and venipuncture were significantly greater compared with measures at rest and making sound, indicating higher signal levels were associated with pain. PAINAD scores were significantly correlated with physiological measures for vocalization variables of sound amplitude (r = 0.49, P <.001), shimmer (r = 0.63, P <.001), and inhalation-to-exhalation amplitude ratio (r = 0.48, P <.001). Conclusions and Implications: Elevated vocalizations detected with the NISDM were co

关键词： Biomarkers dementia long-term care pain physiological assessment

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Multivariate analysis of carcinogenic equivalence (CEQ) to characterize carcinogenic VOC emissions in a typical petrochemical industrial park in Taiwan

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Environment International 2024年 186卷 108548页

作者： Chen, Wei-Hsiang Chang, Chin-Fa Lai, Chin-Hsing Peng, Yen-Ping Su, Yu-Jih Chen, Guan-Fu Institute of Environmental Engineering National Sun Yat-sen University Kaohsiung804 Taiwan Aerosol Science and Research Center National Sun Yat-sen University Kaohsiung804 Taiwan Department of Public Health Kaohsiung Medical University Kaohsiung807 Taiwan Master and Doctoral Degree Program in Toxicology Kaohsiung Medical University Kaohsiung807 Taiwan Center for Emerging Contaminants Research National Sun Yat-Sen University Kaohsiung804 Taiwan Department of Environmental Engineering and Science Fooyin University Kaohsiung831 Taiwan College of Medicine Chang Gung University Taoyuan333 Taiwan Department of Internal Medicine Division of Rheumatology Allergy and Immunology Kaohsiung Chang Gung Memorial Hospital Kaohsiung807 Taiwan Center for Mitochondrial Research and Medicine Kaohsiung Chang Gung Memorial Hospital Kaohsiung807 Taiwan Institute of Biopharmaceutical Science National Sun Yat-Sen University Kaohsiung804 Taiwan

Large industrial emissions of volatile organic compounds (VOCs) from the petrochemical industry are a critical concern due to their potential carcinogenicity. VOC emissions vary in composition depending on the source and occur in mixtures containing compounds with varying degrees of toxicity. We proposed the use of carcinogenic equivalence (CEQ) and multivariate analysis to identify the major contributors to the carcinogenicity of VOC emissions. This method weights the carcinogenicity of each VOC by using a ratio of its cancer slope factor to that of benzene, providing a carcinogenic equivalence factor (CEF) for each VOC. We strategically selected a petrochemical industrial park in southern Taiwan that embodies the industry's comprehensive nature and serves as a representative example. The CEQs of different emission sources in three years were analyzed and assessed using principal component analysis (PCA) to characterize the major contributing sectors, vendors, sources, and species for the carcinogenicity of VOC emissions. Results showed that while the study site exhibited a 20.7 % (259.8 t) decrease in total VOC emissions in three years, the total CEQ emission only decreased by 4.5 % (15.9 t), highlighting a potential shift in the emitted VOC composition towards more carcinogenic compounds. By calculating CEQ followed by PCA, the important carcinogenic VOC emission sources and key compounds were identified. More importantly, the study compared three approaches: CEQ followed by PCA, PCA followed by CEQ, and PCA only. While the latter two methods prioritized sources based on emission quantities, potentially overlooking less abundant but highly carcinogenic compounds, the CEQ-first approach effectively identified vendors and sources with the most concerning cancer risks. This distinction underscores the importance of selecting the appropriate analysis method based on the desired focus. Our study highlighted how prioritizing CEQ within the analysis framework empowered

关键词： Principal component analysis

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Utilizing Educational Robotics for Learning About Sustainability Issues

Utilizing Educational Robotics for Learning About Sustainabi...

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IEEE Latin American Robotics Symposium, LARS

作者： Andre Carlos Teixeira de Vasconcelos Almir Silva Silveira Raphael Melo de Oliveira Lucas Tejedor da Silva Giselle Medeiros Mesiara João Roberto de Toledo Quadros Master's Degree Program in Computer Science Celso Suckow da Fonseca Federal Technological Education Center Rio de Janeiro Brazil Department of Computer Science Celso Suckow da Fonseca Federal Technological Education Center Rio de Janeiro Brazil Sense & Learn (SELEA)21 Copenhagen University Denmark Department of Electronic Engineering/Pos-Graduate Program in Computer Science Celso Suckow da Fonseca Federal Technological Education Center Rio de Janeiro Brazil

ISBN: (数字)9781665462808

ISBN: (纸本)9781665462815

Nowadays, schools are trying to insert knowledge and learning about sustainability issues and environmental conservation in the academic context from an early age. It is also observed the use of information technology with new didactic and ludic resources that can encourage elementary and high school students to obtain knowledge about sustainability. To this end, this research presents some results using Educational Robotics, Gestalt, and information technology, which students received from a Brazilian public elementary school. In this study, after attending workshops on sustainability, the students developed robotic resources to help them with sustainability-related knowledge. The resources were tested according to their objectives: a mobile robot that recognizes the food and shows its footprint and a box with gas sensors to identify if food is in consumable condition or should be recycled. The experiment was very successful and is in a continuous application phase.

关键词： Conferences Education Robot sensing systems Object recognition Mobile robots Sustainable development Information technology

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