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Articles 691 - 720 of 10530
Full-Text Articles in Entire DC Network
Ce 443 - 002: Foundation Design, Andrew Ciancia
Ce 443 - 002: Foundation Design, Andrew Ciancia
Civil and Environmental Engineering Syllabi
No abstract provided.
Ce 432 - 002, Hm2: Steel Design, Methi Wacharatama
Ce 432 - 002, Hm2: Steel Design, Methi Wacharatama
Civil and Environmental Engineering Syllabi
No abstract provided.
Ce 461 - 102: Professional Practice In Cee, Avinash Prasad
Ce 461 - 102: Professional Practice In Cee, Avinash Prasad
Civil and Environmental Engineering Syllabi
No abstract provided.
Ce 485 - 002: St: Osha In Civil Enginering, Frank Golon
Ce 485 - 002: St: Osha In Civil Enginering, Frank Golon
Civil and Environmental Engineering Syllabi
No abstract provided.
Ce 461 - 104: Professional Practice In Cee, Avinash Prasad
Ce 461 - 104: Professional Practice In Cee, Avinash Prasad
Civil and Environmental Engineering Syllabi
No abstract provided.
Ce 494 - 106, Hm2: Civil Engr Design I, Joseph Baladi
Ce 494 - 106, Hm2: Civil Engr Design I, Joseph Baladi
Civil and Environmental Engineering Syllabi
No abstract provided.
Ce 494 - 108: Civil Engr Design I, Joseph Baladi
Ce 494 - 108: Civil Engr Design I, Joseph Baladi
Civil and Environmental Engineering Syllabi
No abstract provided.
Ce 495 - 102: Civil Engr Design Ii, Babu Veeragowda
Ce 495 - 102: Civil Engr Design Ii, Babu Veeragowda
Civil and Environmental Engineering Syllabi
No abstract provided.
Ene 262 - 004, Hm2: Intro To Environmental Engr, Paul Schorr
Ene 262 - 004, Hm2: Intro To Environmental Engr, Paul Schorr
Civil and Environmental Engineering Syllabi
No abstract provided.
Ene 465 - 101: Sustainable Env Infrastructure, William Pennock
Ene 465 - 101: Sustainable Env Infrastructure, William Pennock
Civil and Environmental Engineering Syllabi
No abstract provided.
Mech 235 - 002,004: Eng Mech: Statics, Sunil Saigal
Mech 235 - 002,004: Eng Mech: Statics, Sunil Saigal
Civil and Environmental Engineering Syllabi
No abstract provided.
Mech 236 - 002, 004, 006, 008, Hm2: Dynamics, Yuan Ding
Mech 236 - 002, 004, 006, 008, Hm2: Dynamics, Yuan Ding
Civil and Environmental Engineering Syllabi
No abstract provided.
Mech 234 - 002, 004: Engineering Mechanics: Statics, Geraldine Milano
Mech 234 - 002, 004: Engineering Mechanics: Statics, Geraldine Milano
Civil and Environmental Engineering Syllabi
No abstract provided.
Mech 237 - 002, 004, 014, 016, 106, 108: Strength Of Materials, Eduardo Castro
Mech 237 - 002, 004, 014, 016, 106, 108: Strength Of Materials, Eduardo Castro
Civil and Environmental Engineering Syllabi
No abstract provided.
Mech 237 - 010, 012, 110, 112: Strength Of Materials, Geraldine Milano
Mech 237 - 010, 012, 110, 112: Strength Of Materials, Geraldine Milano
Civil and Environmental Engineering Syllabi
No abstract provided.
Mech 320 - 102: Statics & Mech Of Materl, Mohamad Saadeghvaziri
Mech 320 - 102: Statics & Mech Of Materl, Mohamad Saadeghvaziri
Civil and Environmental Engineering Syllabi
No abstract provided.
Ce 341 - 002: Soil Mechanics, Andrew Ciancia
Ce 341 - 002: Soil Mechanics, Andrew Ciancia
Civil and Environmental Engineering Syllabi
No abstract provided.
Ce 350 - Hm2: Transportation Engr - Honors, Branislav Dimitrijevic
Ce 350 - Hm2: Transportation Engr - Honors, Branislav Dimitrijevic
Civil and Environmental Engineering Syllabi
No abstract provided.
Ce 320a - 102, 104, 108: Hydraulics Laboratory, Thomas Olenik
Ce 320a - 102, 104, 108: Hydraulics Laboratory, Thomas Olenik
Civil and Environmental Engineering Syllabi
No abstract provided.
Ce 431 - 002: Contruction Materials Lab, Walter Konon
Ce 431 - 002: Contruction Materials Lab, Walter Konon
Civil and Environmental Engineering Syllabi
No abstract provided.
Autonomous Vehicle Supported Mobility Services For Rural Areas, Alvira Ahmed Tasnim
Autonomous Vehicle Supported Mobility Services For Rural Areas, Alvira Ahmed Tasnim
Graduate Theses, Dissertations, and Problem Reports (ETD)
Autonomous Vehicles (AVs) are emerging as a promising mobility solution to address growing transportation demands, particularly unmet traffic demand in rural areas where conventional transit systems often fall short. Rural areas face unique mobility challenges due to dispersed populations, limited infrastructure, and low/no transit coverage. Existing transit services tend to concentrate around dense urban cores, leaving low-demand areas outside underserved. This spatial undercoverage leads to significant mobility gaps for rural residents. This study examines the potential of AV-based ride-sharing services to address these mobility needs by providing flexible, demand-responsive mobility services where fixed-route transit services are either economically or operationally …
Chromium Removal From Tannery Wastewater Via A Hydroponic Technique With Vetiver Grass (Vetiveria Zizanioides), Ismot Zereen, Zainul Abedin, Siddikur Rahman, Debasish Pandit
Chromium Removal From Tannery Wastewater Via A Hydroponic Technique With Vetiver Grass (Vetiveria Zizanioides), Ismot Zereen, Zainul Abedin, Siddikur Rahman, Debasish Pandit
Applied Environmental Research
This research aimed to investigate the effects of hydroponically cultivated vetiver grass (Vetiveria zizanioides) on the treatment of tannery wastewater for chromium (Cr) removal in Bangladesh. The field experiment involved 9 containers, which were separated into 3 groups: tannery wastewater with hydroponically planted vetiver, tannery wastewater without vetiver (control), and a group with vetiver grown in tap water. The tap water group was used solely for plant growth assessment, whereas only the control and hydroponic vetiver groups were evaluated for Cr and water quality parameters. Throughout the 45-day trial period, Cr and other water quality parameters were analyzed …
Government Support And Local Residents’ Behavior In E-Waste Management: Evidence From Thailand, Peeranart Kiddee, Somsiri Decharat, Suttiporn Bunmak
Government Support And Local Residents’ Behavior In E-Waste Management: Evidence From Thailand, Peeranart Kiddee, Somsiri Decharat, Suttiporn Bunmak
Applied Environmental Research
Electronic waste (e-waste) management is a critical global pollution concern. This study investigates government support; local residents' perceptions, knowledge, attitudes, and behaviors related to e-waste management; and collaborative governance in southern Thailand. Employing both quantitative and qualitative methods, this research involves expert government officers who are well versed in e-waste management and local residents. The study utilized in-depth interviews, questionnaires, and workshops. The results revealed that the government is responsible for four e-waste management approaches, encompassing various e-waste collection, transportation, and disposal methods. Local residents exhibited low perceptions of e-waste news but possessed substantial knowledge and positive attitudes toward e-waste …
Exploring The Co-Composting Potentials Of Raw Grease Trap And Grease Trap-Derived Soaps: Insights Into Grease Trap Modification, Calcium Supplementation, And Microbial Community Analysis, Pokchat Chutivisut, Panaya Kotchaplai, Bualuang Faiyue, Nattapong Tuntiwiwattanapun
Exploring The Co-Composting Potentials Of Raw Grease Trap And Grease Trap-Derived Soaps: Insights Into Grease Trap Modification, Calcium Supplementation, And Microbial Community Analysis, Pokchat Chutivisut, Panaya Kotchaplai, Bualuang Faiyue, Nattapong Tuntiwiwattanapun
Applied Environmental Research
Managing waste with grease traps poses a challenge because of the potential environmental issues associated with its disposal. In this study, two approaches were investigated to increase the biodegradability of grease trap waste: 1) converting raw grease trap waste into soap and 2) supplementing grease trap soap as inoculum with calcium material. The preparation of grease trap soap was optimized to attain a soap yield of 103% by utilizing a water-to-ethanol ratio of 9:1 at 80 °C for a processing time of 3 hours. A comparison of the composting results revealed higher nitrate yields with increased ratios of grease trap …
Microplastic Contamination In Commercially Important Bivalves Of Sorsogon Bay, Philippines, Sarina M.B. Arciga, Charmaine A. Malon, Kenneth N. Ballaran
Microplastic Contamination In Commercially Important Bivalves Of Sorsogon Bay, Philippines, Sarina M.B. Arciga, Charmaine A. Malon, Kenneth N. Ballaran
Applied Environmental Research
Sorsogon Bay, a key fishing ground in the Philippines, is known for its commercially important bivalve species: Perna viridis, Atrina pectinata, and Paphia undulata. Despite their ecological and economic value, limited research has been conducted on microplastic contamination in bivalves harvested from this area. This study aimed to assess the abundance and types of microplastics in commercially important bivalves (P. viridis, A. pectinata, and P. undulata) from Sorsogon Bay, Philippines. Commercial bivalve samples were randomly collected, digested with 10% w/v potassium hydroxide (KOH) solution, filtered (8 µm), and examined under a compound microscope. …
Sediment Grain Size Analysis And Characteristics Of Sedimentation Processes In The Bang Berd-Khao Tham Thong Beach, Chumphon Province, Rawadee Meeprasit, Sujaree Bureekul, Suriyan Saramul
Sediment Grain Size Analysis And Characteristics Of Sedimentation Processes In The Bang Berd-Khao Tham Thong Beach, Chumphon Province, Rawadee Meeprasit, Sujaree Bureekul, Suriyan Saramul
Applied Environmental Research
This study investigated the sedimentological characteristics of the Bang Berd-Khao Tham Thong beach system, which is located along the western shore of the central Gulf of Thailand, an area that is minimally disturbed by human activity and is ideal for studying natural coastal processes. Sediment samples were collected from both coastal and marine environments across four sampling periods (July 2022, September 2022, April 2023, and June 2023). The analysis focused on the grain size distribution, sorting, skewness, kurtosis, and sediment composition, revealing a predominance of medium sand in coastal sediments and increased silt and clay contents in marine sediments. The …
Landslide Susceptibility Mapping Via Dempster-Shafer, Statistical Index, And Certainty Factor Models In Gis And Their Comparison At Pidie Recency In Aceh, Indonesia, Septianto Aldiansyah, Amniar Ati, Fitriyani Saudi
Landslide Susceptibility Mapping Via Dempster-Shafer, Statistical Index, And Certainty Factor Models In Gis And Their Comparison At Pidie Recency In Aceh, Indonesia, Septianto Aldiansyah, Amniar Ati, Fitriyani Saudi
Applied Environmental Research
Landslides are natural disasters that are active if there is an interaction of environmental factors that are considered to control them, especially in mountainous areas. This study developed a landslide susceptibility map in Pidie Regency via the Dempster-Shafer (DS), statistical index (SI), and certainty factor (CF) models. A total of 957 landslide events were mapped, 70% of which were used for modeling, whereas the remaining events were used to validate the model output. Fourteen layers of conditioning factors were used: elevation, slope, aspect, curvature, TWI, SPI, STI, NDVI, rainfall, distance from river, distance from road, distance from fault, LULC, and …
Assessment Of Landslide Susceptibility And Settlement Exposure Via Geospatial Techniques In Bulambuli Distrcit, Eastern Uganda, Andrew Mulabbi, John Calvin Esagu, Gertrude Akello, Remigio Turyahabwe
Assessment Of Landslide Susceptibility And Settlement Exposure Via Geospatial Techniques In Bulambuli Distrcit, Eastern Uganda, Andrew Mulabbi, John Calvin Esagu, Gertrude Akello, Remigio Turyahabwe
Applied Environmental Research
Landslide susceptibility is a significant concern in Elgon County, Uganda, particularly during the rainy season. This vulnerability is attributable to several factors, including steep slopes, fertile soils, and dense settlements on volcanic ridges. Landslide susceptibility maps are important in mitigating the risk particularly at the local level. The objectives of this study were 1) to model landslide susceptibility via an interpretable machine-learning model, 2) to identify the most influential factors for landslide susceptibility in the study area, and 3) to assess the exposure of settlements to landslide risk. This study employed the XGBoost model trained on nine conditioning factors via …
Exploration Of Indigeneous Biosurfactant-Producing Bacillus Sp. From Petroleum Hydrocarbon-Contaminated Soil In Indonesia, Rizky Danang Susetyo, Wahyu Wilopo, Suwarno Hadisusanto, Endah Retnaningrum
Exploration Of Indigeneous Biosurfactant-Producing Bacillus Sp. From Petroleum Hydrocarbon-Contaminated Soil In Indonesia, Rizky Danang Susetyo, Wahyu Wilopo, Suwarno Hadisusanto, Endah Retnaningrum
Applied Environmental Research
Hydrocarbonolastic bacteria are valuable for the remediation of petroleum-polluted environments. The production of biosurfactants by such bacteria significantly enhances hydrocarbon bioavailability and increases remediation efficiency. One genus of hydrocarbonolastic bacteria with the potential to produce biosurfactants is Bacillus, yet strain-level diversity and local adaptations remain underexplored.Tthis study aimed to isolate and characterize hydrocarbonolastic bacteria belonging to the Bacillus genus from soil samples collected at Geopetroleum Teksas Wonocolo, Kedewan District, Bojonegoro Regency, Indonesia, which is a historically underreported hydrocarbon site. Additionally, the capacity of Bacillus to synthesize biosurfactants was examined. Bacillus strains capable of biosur-factant production were identified via a polyphasic …
Human Perception Of Ai Capabilities At Classifying Perturbed Roadway Signs, Katherine R. Garcia, Jing Chen, Yanru Xiao, Scott Mishler, Cong Wang, Bin Hu
Human Perception Of Ai Capabilities At Classifying Perturbed Roadway Signs, Katherine R. Garcia, Jing Chen, Yanru Xiao, Scott Mishler, Cong Wang, Bin Hu
Psychology Faculty Publications
Artificial Intelligence (AI) is crucial to numerous functions required for driving automation systems, including the computer vision techniques used to detect the roadway environment and make real-time decisions. However, the images used as inputs to the AI system may be maliciously perturbed, or manipulated, causing the AI system to make an incorrect classification. In this study, we examined humans’ perception of the AI’s computer vision capability of classifying various road sign images, including the original images, images with two different types of malicious attacks, and images that are scrambled randomly at the pixel level. Our results showed that participants rated …