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15th International Symposium on East Asian Resources Recycling Technology, EARTH 2019

作者： Ponghiran, Waristha Khaodhiar, Sutha Borrirukwisitsak, Siriporn Charoensaeng, Ampira Department of Environmental Engineering Faculty of Engineering Chulalongkorn University Bangkok10330 Thailand Research Program - Industrial Waste Management Policies and Practices Center of Excellence on Hazardous Substance Management Chulalongkorn University Bangkok10330 Thailand Environmental Science Program Faculty of Science and Technology Songkhla Rajabhat University Songkhla90000 Thailand Petroleum Technology Program Petroleum and Petrochemical College Chulalongkorn University Bangkok10330 Thailand

Precious metal (e.g., gold and silver) content is a key-driven factor to encourage the electronic waste (E-waste) recycling industry. A part of E-waste composition, random access memory (RAM) contained in printed circuit boards (PCBs) has been collected for recovering of these precious metals. In the gold extraction process, the cyanide has been widely used as a leaching agent because of its lower cost. However, cyanide-contaminated wastewater has highly toxic and poses a severe threat to human health and surroundings when treated improperly. Aqua regia, an alternative gold leaching agent, has been proposed because it is less toxic than cyanide. This study, the aqua regia leaching method was conducted to recover the gold from discarded RAM. The effects of pulp density (solid to liquid ratio) between RAM and aqua regia, leaching time, and temperature on the gold recovery were investigated. The results show that the highest extraction yield of gold was 746.8 ppm at the solid to liquid ratio of 1 g RAM to 6 mL aqua regia, at 75 ºC, and 4 hours. The findings from this study provide the understanding for selecting the parameter affecting the gold extraction efficiency, leading to the improvement of recycling technologies and environment-friendly processes for further precious metal recovery. © 15th International Symposium on East Asian Resources Recycling Technology, EARTH 2019. All rights reserved.

关键词： Electronic Waste

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Prediction and analysis of atmospheric visibility in five terrain types with artificial intelligence

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Heliyon 2023年第8期9卷 e19281页

作者： Liang, Chen-Wei Chang, Chia-Chun Hsiao, Chun-Yun Liang, Chen-Jui Department of Biomechatronic Engineering National Ilan University Yilan Taiwan Master Program in UAV Application and Smart Agriculture National Ilan University Yilan Taiwan Department of Environmental Engineering and Science Feng Chia University Taichung Taiwan International School of Technology and Management Feng Chia University Taichung Taiwan Artificial Intelligence Technology and Application Bachelor Program Feng Chia University Taichung Taiwan

Scattering visiometers are widely used to measure atmospheric visibility;however, visibility is difficult to measure accurately because the extinction coefficient decays exponentially with visual range according to the Koschmid's law. Moreover, models for predicting visibility are lacking due to the lack of accurate visibility observations to verify. This study formulated an artificial intelligence method for measuring atmospheric visibility in five topographical regions: hills, basins, plains, alluvial plains, and rift valleys. Four air pollution factors and five meteorological factors were selected as independent variables for predicting visibility by using three artificial intelligence models, namely a support vector machine (SVM) model, a multilayer perceptron (MLP) model, and an extreme gradient boosting (XGBoost) model. The GridSearchCV function was used to automatically tune model hyperparameters to determine the optimal parameter values of the three models for the five target areas. The predictions of the aforementioned three models underwent considerable considerably scale shrinking relative to observed values. The inappropriately low predicted visibility values might have been caused by the use of inaccurate observations for training. To solve this problem, formulas of scale ratio and downshift were used to adjust the predicted values. Statistical measurements of model performance measures by five quantitative methods (e.g., correlation coefficient, mean absolute error) showed that adjusted predictions were in strong agreement with the observation data for the five target areas. Therefore, the adjusted prediction has high reliability. Because of obvious differences in the topography, weather, and air quality of the five target areas, different models provided optimal predictions for different areas. In densely populated western Taiwan, the MLP model is most suitable for predicting visibility on hills whereas the XGBoost model is most suitable for predictin

关键词： Air pollutants Extinction coefficient Fog-haze Koschmieder's law Machine learning Terrain effects

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Gumbel-Softmax Flow Matching with Straight-Through Guidance for Controllable Biological Sequence Generation

arXiv

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arXiv 2025年

作者： Tang, Sophia Zhang, Yinuo Tong, Alexander Chatterjee, Pranam Department of Biomedical Engineering Duke University United States Management and Technology Program University of Pennsylvania United States Center of Computational Biology Duke-NUS Medical School Singapore Mila Quebec AI Institute Canada Université de Montréal Canada Department of Computer Science Duke University United States Department of Biostatistics and Bioinformatics Duke University United States

Flow matching in the continuous simplex has emerged as a promising strategy for DNA sequence design, but struggles to scale to higher simplex dimensions required for peptide and protein generation. We introduce Gumbel-Softmax Flow and Score Matching, a generative framework on the simplex based on a novel Gumbel-Softmax interpolant with a time-dependent temperature. Using this interpolant, we introduce Gumbel-Softmax Flow Matching by deriving a parameterized velocity field that transports from smooth categorical distributions to distributions concentrated at a single vertex of the simplex. We alternatively present Gumbel-Softmax Score Matching which learns to regress the gradient of the probability density. Our framework enables high-quality, diverse generation and scales efficiently to higher-dimensional simplices. To enable training-free guidance, we propose Straight-Through Guided Flows (STGFlow), a classifier-based guidance method that leverages straight-through estimators to steer the unconditional velocity field toward optimal vertices of the simplex. STGFlow enables efficient inference-time guidance using classifiers pre-trained on clean sequences, and can be used with any discrete flow method. Together, these components form a robust framework for controllable de novo sequence generation. We demonstrate state-of-the-art performance in conditional DNA promoter design, sequence-only protein generation, and target-binding peptide design for rare disease treatment. © 2025, CC BY-NC-ND.

关键词： Velocity distribution

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An urbanization monitoring dataset for world cultural heritage in the Belt and Road region

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Big Earth Data 2022年第1期6卷 127-140页

作者： Da Xiao Linlin Lu Xinyuan Wang Vilas Nitivattananon Huadong Guo Wenhua Hui Key Laboratory of Digital Earth Science Aerospace Information Research InstituteChinese Academy of SciencesBeijingChina College of Geological Engineering and Geomatics Chang’an UniversityXi’anChina Urban Environmental Management Program School of EnvironmentResources and DevelopmentAsian Institute of TechnologyBangkokThailand

World cultural heritage refers to properties recognized as having historical, social, and anthropological value. Global urbanization has changed the land cover, land use, transportation, landscape, and local environment in cities, and thus exposed World Heritage sites to risks induced by direct or indirect damaging factors. In this paper, an urbanization intensity index (UII) was developed to quantitatively measure urban dynamics in the vicinity of World Heritage sites. This index is based on three global Earth observation datasets, including a global human settlement layer, a global population grid product, and a global nighttime light imagery. Large UII values represent high urbanization levels and intensive human activities in the study area and vice versa. The assessment results show that the mean UII value at 79 world cultural heritage sites in the Belt and Road region increased from 0.26 in 2000 to 0.29 in 2015. The heritage sites were then classified into four types based on the change rates of UIIs. A total of seven heritage sites were identified as exposed to risks due to urban sprawl and infrastructure expansion. The UII dataset can be combined with UNESCO’s periodic reports and site-specific data to provide valuable information for international communities to develop heritage preservation policies.

关键词： Urban sprawl cultural heritage sustainable development goals nighttime light

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Ship Propeller Rotation Threshold to Prevent Erosion and Sedimentation in Coastal Waters

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哈尔滨工程大学学报(英文版) 2024年第4期23卷 798-811页

作者： Abdul Kadir I.Istadi Agus Subagio I.Iskendar W.Waluyo Abdul Muis Dewi Kartikasari Siti Sadiah A.B Widagdo M.P Helios Mochammad Nasir N.Nurhadi Doctoral Program of Environmental Science School of Postgraduate StudiesUniversitas DiponegoroSemarangCentral Java 50275Indonesia Research Center for Transportation Technology National Research and Innovation Agency(BRIN)Jakarta 10340Indonesia Department of Chemical Engineering Faculty of EngineeringUniversitas DiponegoroSemarangCentral Java 50275Indonesia Department of Physics Faculty of Science and MathematicsUniversitas DiponegoroSemarangCentral Java 50275Indonesia Research Center for Hydrodynamic Technology National Research and Innovation Agency(BRIN)Jakarta 10340Indonesia Research Center for Energy Conversion and Conservation National Research and Innovation Agency(BRIN)Jakarta 10340Indonesia Directorate of Laboratory Management Research Facilitiesand Science and Technology ParkNational Research and Innovation Agency(BRIN)Jakarta 10340Indonesia

The rotation of a ship’s propeller can accelerate the water flow around it,which puts pressure on seabed *** pressure on the seabed can significantly trigger erosion and sedimentation of coastal *** the impact that can be caused,the ship’s propeller rotation limit needs to be determined to avoid damage to the aquatic *** research determines the threshold of ship propeller rotation based on the water flow velocity *** has been carried out at the Hydrodynamics Laboratory on several variations of propeller rotation R_(rmp)(r/min)and water depth using empirical approaches,numerical simulations,and scale model *** based on general standard criteria for erosion and sedimentation shows that a propeller with a diameter(D_(p))of 1.5 m is safe for propeller rotation at 25 r/min at all water ***,the propeller rotation of 75 r/min is safe for a distance between the propeller axis and the bottom of the water equal to D_(p).Meanwhile,rotation at 120 r/min is safe at a minimum distance of 1.5 D_(p),and 230 r/min is safe for a minimum distance of 2.0 D_(p).The propeller rotation threshold criteria are essential to determining the new under-keel clearance for environmentally friendly ship *** values vary based on seabed particle type and water depth.

关键词： Landing craft tank Water flow velocity Seabed erosion Under keel clearance

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Preprocessing Techniques for Enhancing Vision-Based Detection System for Tire Sidewall Extraction

Preprocessing Techniques for Enhancing Vision-Based Detectio...

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International Seminar on Research of Information Technology and Intelligent Systems (ISRITI)

作者： Jia Hao Loo Veronica Lestari Jauw Chin Seong Lim Khairul-Rijal Sarmin Nunung Nurul Qomariyah Ahmad Nurul Fajar Department of Mechanical Materials and Manufacturing Engineering University of Nottingham Malaysia Malaysia Continental Tyre Technology Centre Malaysia Petaling Jaya Malaysia Computer Science Department School of Computing and Creative Arts Bina Nusantara University Jakarta Indonesia Information System Management Department BINUS Graduate Program-Master Information Systems Bina Nusantara University Jakarta Indonesia

ISBN: (数字)9798331519643

ISBN: (纸本)9798331519650

This study aims to develop a system for extracting crucial information from tire sidewalls using Optical Character Recognition (OCR). Initially, images of tire were captured manually by smartphone cameras, including Redmi 9T, iPhone 11, and Galaxy S23 Ultra. The captured images are then transferred to a computer for storage. Subsequently, these images were cropped according to the boundaries identified by Hough Circle Transform (HCT). The cropped images were then further pre-processed. During the pre-processing phase, geometrical transformation and image sharpening techniques are applied to enhance the clarity and readability of the text images. The text is then extracted using Google Vision, with the extracted text categorized by size, DOT, brand and pattern. The results indicated that the effectiveness of image pre-processing was constrained by the accuracy of circle detection, which reached a maximum rate of 87.1%. This causes parts of the text to be cut out inaccurately, leading to a suboptimal extraction accuracy of 55.65%. It is also observed that the Redmi 9T camera produced inconsistent results compared to other devices. Specifically, the iPhone 11 and Samsung Galaxy S23 Ultra demonstrated superior extraction accuracies of 69.71% and 66.37%, respectively, whereas the Redmi 9T achieved a lower extraction accuracy of 37.76%.

关键词： Accuracy Optical character recognition Text categorization Lighting Transforms US Department of Transportation Cameras Tires Internet Data mining

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Pan-cancer analysis of CDC7 in human tumors: Integrative multi-omics insights and discovery of novel marine-based inhibitors through machine learning and computational approaches

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Computers in Biology and Medicine 2025年 190卷 110044-110044页

作者： Saif, Ahmed Islam, Md. Tarikul Raihan, Md. Obayed Yousefi, Niloofar Rahman, Md. Ajijur Faridi, Hafeez Hasan, Al Riyad Hossain, Mirza Mahfuj Saleem, Rasha Mohammed Albadrani, Ghadeer M. Al-Ghadi, Muath Q. Ahasan Setu, Md. Ali Kamel, Mohamed Abdel-Daim, Mohamed M. Aktaruzzaman, Md. Department of Pharmacy Faculty of Science University of Rajshahi Rajshahi6205 Bangladesh Department of Genetic Engineering and Biotechnology Faculty of Biological Science and Technology Jashore University of Science and Technology Jashore7408 Bangladesh Jashore7408 Bangladesh Department of Pharmaceutical Sciences College of Health Sciences and Pharmacy Chicago State University ChicagoIL United States Department of Industrial Engineering and Management Systems University of Central Florida USA OrlandoFL United States Department of Pharmacy Faculty of Biological Science and Technology Jashore University of Science and Technology Jashore7408 Bangladesh Department of Computer Science and Engineering Faculty of Engineering and Technology Jashore University of Science and Technology Jashore7408 Bangladesh Department of Laboratory Medicine Faculty of Applied Medical Sciences Al-Baha University Al-Baha65431 Saudi Arabia Department of Biology College of Science Princess Nourah bint Abdulrahman University 84428 Riyadh11671 Saudi Arabia Department of Zoology College of Science King Saud University P.O. Box 2455 Riyadh11451 Saudi Arabia Department of Microbiology Faculty of Biological Science and Technology Jashore University of Science and Technology Jashore7408 Bangladesh Department of Medicine and Infectious Diseases Faculty of Veterinary Medicine Cairo University Giza12211 Egypt Department of Pharmaceutical Sciences Pharmacy Program Batterjee Medical College P.O. Box 6231 Jeddah21442 Saudi Arabia Pharmacology Department Faculty of Veterinary Medicine Suez Canal University Ismailia41522 Egypt

Cancer remains a significant global health challenge, with the Cell Division Cycle 7 (CDC7) protein emerging as a potential therapeutic target due to its critical role in tumor proliferation, survival, and resistance. However, a comprehensive analysis of CDC7 across multiple cancers is lacking, and existing therapeutic options have come with limited clinical success. The aim of this is to integrate a comprehensive pan-cancer analysis of CDC7 with the identification of novel marine-derived inhibitors, bridging the understanding of CDC7's role as a prognostic biomarker and therapeutic target across diverse cancer types. In this study, we conducted a pan-cancer analysis of CDC7 across 33 tumor types using publicly available datasets to evaluate its expression, genetic alterations, immune interactions, survival, and prognostic significance. Additionally, a marine-derived compound library of 31,492 molecules was screened to identify potential CDC7 inhibitors using chemoinformatics and machine learning. The top candidates underwent rigorous evaluations, including molecular docking, pharmacokinetics, toxicity, Density Functional Theory (DFT) calculations, and Molecular Dynamics (MD) simulations. The findings revealed that CDC7 is overexpressed in several cancers and is associated with poor survival outcomes and unfavorable prognosis. Enrichment analysis linked CDC7 to critical DNA replication pathways, while its role in modulating tumor-immune interactions highlighted its potential as a target for immunotherapy. Among all tested compounds, Tetrahydroaltersolanol D (CMNPD21999) exhibited the strongest binding affinity and stability, along with better drug-likeness and zero toxicity. These attributes highlight its potential as a promising drug candidate for CDC7 inhibition and future cancer treatment development. Furthermore, additional in vitro and in vivo studies are required to confirm the effectiveness of this drug candidate against the CDC7 protein. © 2025

关键词： Gene expression

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Effect of feedback on learning motivation of primary teacher education students in primary school physics courses 10

Effect of feedback on learning motivation of primary teacher...

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10th National Physics Seminar, SNF 2021

作者： Sianipar, L.K. Sitompul, H. Sanjaya, L.A. Puspa, R.W.D. Pertiwi, W.A. Qoiriyah, W. Department of Physics Education Universitas Pelita Harapan Tangerang15811 Indonesia Department of Physics Faculty of Mathematics and Natural Science Universitas Negeri Jakarta Indonesia Kartika VIII-1 Senior High School Jakarta Indonesia Islamic Education Management Study Program Faculty Islamic of Education and Teacher Training Muhammad Azim Institute Jambi Indonesia Informatics Engineering Study Program Faculty of Engineering Sheikh Yusuf Islamic University Tangerang Indonesia

Based on the results of the questionnaire distributed to Primary Teacher Education Students, 96% of students said that Physics is difficult to understand because the material is very complex, many formulas, especially the learning process is done online. This study aims to describe the influence of providing feedback on the motivation of Primary Teacher Education Students in primary school physics courses. The method used in this research is descriptive qualitative. Meanwhile, the instrument used was a questionnaire which was distributed to 115 elementary school education students. The result of the research shows that giving feedback consistently is able to motivate students. This can be seen from the results of the questionnaires distributed, each indicator is of very good value. © 2021 Institute of Physics Publishing. All rights reserved.

关键词： Students

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Finite element optimization of Pratt trusses using trial and error

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Materials Today: Proceedings 2023年

作者： Yahya Abdelhamid Heba Farahat Mohamed N. Othman Yasser M. Mater Ahmed M. Ahmed Undergraduate student Civil and Infrastructure Engineering and Management Program School of Engineering and Applied Science Nile University Giza 12588 Egypt Civil and Infrastructure Engineering and Management program School of Engineering and Applied Science Nile University Giza 12588 Egypt Department of Civil Engineering Faculty of Engineering Helwan University Cairo Egypt

Steel production is considered one of the most material and energy-consuming industries, and using less energy is considered vital to promote environmental sustainability. Steel is used as the main building material in the construction of factories, hangars, and workshops in the form of trusses. A truss system is a set of structural elements connected at pin joints , with different types, shapes, and weights. Optimizing truss systems for max strength and minimum weight is a sustainable approach to reducing steel production and promoting environmental sustainability. In this paper 27 Pratt trusses were optimized by trial and error using finite element analysis (FEM) to predict the optimum topology for various cross-sections. Correlations between the span length, cross-sectional area, and height of the trusses were developed to conclude the ideal topology of the Pratt truss that gives minimum compression and tension stresses. The effect of topology on the reaction forces was also addressed. Results showed that the optimum horizontal span length between joints ranged between 3.4 and 3.6 m for minimal compressive stresses and minimum horizontal and vertical reaction forces at supports, and from 3.0 to 3.6 m for minimal tensile stresses .

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Using LSTM and Regression Analysis for Railway Passenger Traffic Volume Prediction

Using LSTM and Regression Analysis for Railway Passenger Tra...

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IEEE Global Conference on Consumer Electronics (GCCE)

作者： Fu Jie Tey Chih-Chi Tuan Cheng-En Cai Ming-Xuan Wu Yun-Sheng Wu Tin-Yu Wu Department of Electrical Engineering National Taiwan University of Science and Technology Taipei Taiwan Master Program of E-Learning for Multimedia and Network Communications National Ilan University Yilan Taiwan Department of Management Information Systems National Pingtung University of Science and Technology Pingtung County Taiwan

ISBN: (纸本)9781665492331

The purpose of this paper is to investigate the factors affecting the passenger traffic volume on the high-capacity MRT, to analyze the traffic volume trends, and to make traffic volume predictions more accurately. This paper uses the LSTM (Long Short-term Memory) model and regression analysis for Taipei MRT passenger traffic volume prediction. The training data, including dates, temperatures and number of passengers, were collected, and a regression analysis was performed to find trends in the data.

关键词： Temperature distribution Solid modeling Government Transportation Training data Predictive models Market research

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