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Full-Text Articles in Entire DC Network
Use Of Modified Blast Furnace Slag For Cadmium Removal In An Aqueous Medium, Toufik Chouchane, Mohamed Tayeb Abedghars, Sabiha Chouchane, Hazem Meradi, Atmane Boukari
Use Of Modified Blast Furnace Slag For Cadmium Removal In An Aqueous Medium, Toufik Chouchane, Mohamed Tayeb Abedghars, Sabiha Chouchane, Hazem Meradi, Atmane Boukari
Applied Environmental Research
In this work, blast furnace slag was converted to hydroxyapatite-zeolite (MS) through alkaline fusion and hydrothermal treatment, and then it was used to remove cadmium in solution by adsorption in batch mode. The process was accomplished under the influence of determining parameters, namely the contact time, mass of the adsorbent, stirring speed, pH of the medium, temperature of the solution, particle size of the slag, and initial concentration. MS consists mainly of sodium oxide, silica, alumina, lime, and phosphorus pentoxide. The Ca/P, Na/Al, and Si/Al ratios revealed that the converted slag is a hydroxyapatite-zeolite. Following the modification of the treated …
Simulated Microgravity, Indole-3-Acetyl Acid, And Cow Dung Influence On Zea Mays Plant Growth In Contaminated Soil, A. Ovenseri, A.O. Ogunkeyede, A.A. Adebayo, P. Tawari-Fufeyin, A.O. Orukpe, C. Udeochu Uche
Simulated Microgravity, Indole-3-Acetyl Acid, And Cow Dung Influence On Zea Mays Plant Growth In Contaminated Soil, A. Ovenseri, A.O. Ogunkeyede, A.A. Adebayo, P. Tawari-Fufeyin, A.O. Orukpe, C. Udeochu Uche
Applied Environmental Research
This study investigated the effects of simulated microgravity, indole-3-acetic acid (IAA), and cow dung on Zea mays L. plants growing in soil contaminated with crude oil. Crude oil contamination affects plants negatively in morphology and physiology. For simulated microgravity exposure, IAA introduced and non-IAA introduced seeds of Zea mays L. were grown in a clinostat for 4days before taken to the nursery for planting. IAA was introduced to the seed by soaking in IAA solution for 90 minutes after which it was introduced to the microgravity stimulator (clinostat). After 14 days in the nursery, the seedlings were taken to the …
Alstonia Scholaris Fruit Biomass, A Novel Adsorbent For The Removal Of Lead From Aqueous Solution, Aasif Abdullah Baba, Ajit Kumar Das, Abhik Gupta
Alstonia Scholaris Fruit Biomass, A Novel Adsorbent For The Removal Of Lead From Aqueous Solution, Aasif Abdullah Baba, Ajit Kumar Das, Abhik Gupta
Applied Environmental Research
The biosorption of lead (Pb) ions on Alstonia scholaris fruit biomass was investigated in batch and column experiments in an aqueous solution, emphasising the possible binding mechanism of Pb ions on the fruit biomass. The adsorption process was found to be dependent on parameters like adsorbent dose, initial Pb ion concentration, contact time, and pH. No impact was found on Pb adsorption during competitive adsorption. The results suggested that the fruit biomass could remove more than 97% of Pb ions from the aqueous solution. The Freundlich isotherm model best explained the obtained results. The monolayer adsorption capacity of the A. …
A Review On Water Security In Dhaka City, Bangladesh: Calling For Ensuring Sustainability, Wasim Akram, Wilailuk Niyommaneerat, Athit Phetrak, Suthirat Kittipongvises
A Review On Water Security In Dhaka City, Bangladesh: Calling For Ensuring Sustainability, Wasim Akram, Wilailuk Niyommaneerat, Athit Phetrak, Suthirat Kittipongvises
Applied Environmental Research
Dhaka is currently facing a number of significant challenges, and one of them is the protection of water resources. The city is experiencing rapid depletion of groundwater as well as substantial pollution of its surface water. This article aims to highlight a review of the literature on the challenges of water security in Dhaka. The sustainability issues of water resources were elaborated in terms of management, quantity, and quality aspects. Having reviewed, it has been found that groundwater is depleting drastically over the years, which may have environmental, economic, and social consequences in the near future. Due to the rapid …
Effect Of Operating Parameters On Photocatalytic Treatment Of Synthetic Wastewater Using Catio3, Shilpa Mishra, Rekha Dom, Baranidharan Sundaram
Effect Of Operating Parameters On Photocatalytic Treatment Of Synthetic Wastewater Using Catio3, Shilpa Mishra, Rekha Dom, Baranidharan Sundaram
Applied Environmental Research
Photocatalysis is thought to be a long-term, environmentally friendly, economically feasible, and promising technique for treating wastewater. The development of semiconductor nanoparticles has generated a great deal of interest in the treatment of wastewater. To break down complex contaminants found in wastewater into simpler compounds, including H2O and CO2, several UV/visible light excitable nanomaterials have been explored as photocatalysts. Their effectiveness can be managed by adjusting several reaction-related parameters like the intensity of light, irradiance time, pH, catalyst dose, temperature, doping, etc. The performance of the photocatalyst in the photodegradation of contaminants is greatly affected by these parameters. The main …
Assessing The Relationship And Effect Of Air Pollution [Pm 2.5] On Child Respiratory Illness And Child Mortality In The Philippines, Roel F. Ceballos, Rachell C. Gallano, Lenard D. Visaya
Assessing The Relationship And Effect Of Air Pollution [Pm 2.5] On Child Respiratory Illness And Child Mortality In The Philippines, Roel F. Ceballos, Rachell C. Gallano, Lenard D. Visaya
Applied Environmental Research
Air pollution is the presence of harmful substances in the air, which can seriously impact human health and the environment. Among the air pollutants, fine particulate matter (PM) 2.5, being a microscopic particle, poses serious health risks since it can enter the blood circulation and go deep into the lungs. PM 2.5 has been linked to several health problems, such as early mortality, problems with children's development, and unfavorable birth outcomes. In this regard, the study aims to investigate the relationship and effect of PM 2.5 on child respi-ratory illness and child mortality in the Philippines. Data on child respiratory …
Assessing The Short- And Long-Term Health Effects Of Nitrogen Dioxide In Agadir, Morocco: A Who Airq+ Model Application, Youssef Bouchriti, Mohamed Ait Haddou, Abderrahmane Achbani, Amal Korrida, Hasnaa Sine, Jamila Rida, Mohamed Boukrim, Belkacem Kabbachi
Assessing The Short- And Long-Term Health Effects Of Nitrogen Dioxide In Agadir, Morocco: A Who Airq+ Model Application, Youssef Bouchriti, Mohamed Ait Haddou, Abderrahmane Achbani, Amal Korrida, Hasnaa Sine, Jamila Rida, Mohamed Boukrim, Belkacem Kabbachi
Applied Environmental Research
Epidemiological studies have revealed that exposure to atmospheric nitrogen dioxide (NO2) increases the risk of acute and chronic diseases. This study used the WHO AirQ model to assess both the short- and long-term impacts of NO2 on human health in the city of Agadir in Morocco. The mean NO2 values were obtained from measurements taken at two locations. This study assessed the long- term health effects of NO2 on natural all-cause mortality (LT-ACM), mortality due to respiratory diseases (LT-RD), and morbidity due to chronic obstructive pulmo-nary disease (LT-COPD), as well as the short-term health impacts of NO2 on natural all-cause …
Spatiotemporal Patterns Of Land Surface Temperature, Urban Heat Island, And Potential Heat Stress Risk Areas Assessment For Tropical Inland City And Coastal City In Thailand, Thar Htet Aung, Sakpod Tongleamnak, Rasamee Suwanwerakamtorn
Spatiotemporal Patterns Of Land Surface Temperature, Urban Heat Island, And Potential Heat Stress Risk Areas Assessment For Tropical Inland City And Coastal City In Thailand, Thar Htet Aung, Sakpod Tongleamnak, Rasamee Suwanwerakamtorn
Applied Environmental Research
Global warming and rapid urban growth, compounded by the urban heat island (UHI) effect, are posing substantial challenges for urban populations and ecological well-being due to increased heat stress risks. This study aimed to analyze the spatiotemporal patterns of land surface temperature (LST), UHI, and potential heat stress risk areas (PHSRA) in two distinct cities, an inland city, Nakhon Ratchasima, and a coastal city, Si Racha, during the summer. Geoinformatics techniques and Crichton’s Risk Triangle method were employed, using updated demographic data and Sentinel-3 data from 2017 to 2022. The findings indicate that the inland city daytime average LST values …
Optimizing Tenebrio Molitor Feeding Strategy To Induce Physical Degradation Of Tires: A Novel Approach For Sustainable Waste Management, Abdussalam Topandi, Khadijah Sayyidatun Nisa, Fatimah Azizah Riyadi, Ibnu Maulana Hidayatullah, Pranata -, Firah Gustianda Ayu, Reynaldi Ivan Prasetya, Frederick Soetandar, Dimas Rafi Narawangsa, Eka Rahayu
Optimizing Tenebrio Molitor Feeding Strategy To Induce Physical Degradation Of Tires: A Novel Approach For Sustainable Waste Management, Abdussalam Topandi, Khadijah Sayyidatun Nisa, Fatimah Azizah Riyadi, Ibnu Maulana Hidayatullah, Pranata -, Firah Gustianda Ayu, Reynaldi Ivan Prasetya, Frederick Soetandar, Dimas Rafi Narawangsa, Eka Rahayu
Applied Environmental Research
Due to the increased usage of tires, the accumulation of worn tires has become a significant environmental concern and necessitates environmentally friendly waste management strategies. Conventional methods, such as tire incineration or improper disposal, contribute to environmental degradation. It is reported that organisms, such as Tenebrio molitor larvae, can degrade a wide range of polymers. This study explores the promising potential of Tenebrio molitor larvae in addressing this concern. Through a series of experiments, Tenebrio molitor larvae were fed with cut-worn tires to facilitate degradation. The larvae exhibited remarkable capabilities, surviving and thriving on tires as a sole carbon source …
Screening, Isolation And Hydrocarbon Degradation Characteristics Of Yeasts From Mangrove Sediments Of Kerala, Vidya Pothayi, Sreedevi N Kutty, Sebastian Chempakassery Devasia
Screening, Isolation And Hydrocarbon Degradation Characteristics Of Yeasts From Mangrove Sediments Of Kerala, Vidya Pothayi, Sreedevi N Kutty, Sebastian Chempakassery Devasia
Applied Environmental Research
The aim of the present work was to examine the hydrocarbon degradation potential of yeasts isolated from the mangrove sediments. Mangrove sediments around the world were considered to be heavily polluted with oil contaminants and the microbes dwelling in them were believed to be highly active in metabolizing and detoxifying the oil fractions. In the present study, 70 yeast isolates were screened for their lipolytic activity qualitatively and 35 of them which showed comparatively higher lipolysis were tested for their crude oil degradation ability. Screening of hydro-carbon utilizing isolates was performed on Bushnell Haas agar media overlaid with 1% crude …
Fretting Corrosion Wear Of Titanium-Based Alloy (Ti-6al-4v) In 0.9 Wt.% Nacl Solution, Chen-En Lu, Wen-Ken Li, Hung-Hua Sheu, Jeou-Long Lee, Hung-Bin Lee
Fretting Corrosion Wear Of Titanium-Based Alloy (Ti-6al-4v) In 0.9 Wt.% Nacl Solution, Chen-En Lu, Wen-Ken Li, Hung-Hua Sheu, Jeou-Long Lee, Hung-Bin Lee
Journal of Marine Science and Technology–Taiwan
In this study, a high precision fretting tribo-corrosion tester used to analyze the wear and corrosion behavior of Ti alloys in a fretting motion condition. The tester, operated in a ball-on-plate mode, was employed in the fretting corrosion study of metallic bio-materials (Ti and Ti-6Al-4V) under different loads (0 and 10 N), electrolytes (0.9 wt% NaCl and SBF) and fixed displacement frequency (1 Hz). Using profilometer, optical microscope in the experimental analysis and three-body mechanism in the theoretical analysis, the fretting corrosion performances of these bio-medical metals, such as velocity accommodation characteristics, friction, wear, and scratch profile were examined in …
A New-Type Deep Learning Model Based On Shapley Regulation For Containerized Freight Index Prediction, Yen-Chang Shih, Ming-Shue Lin, Taih-Cherng Lirn, Jih-Gau Juang
A New-Type Deep Learning Model Based On Shapley Regulation For Containerized Freight Index Prediction, Yen-Chang Shih, Ming-Shue Lin, Taih-Cherng Lirn, Jih-Gau Juang
Journal of Marine Science and Technology–Taiwan
In this study, we have crafted an innovative methodology that represents a groundbreaking synthesis of deep learning techniques with cooperative game theory. In this study, we use the accuracy of data prediction by different LSTM models as a measurement index and assign different LSTM models corresponding weights through the Shapley value calculation method to construct a more accurate predictive analysis model. We use this improved Shapley regulation model to calibrate a long short-term memory (LSTM) neural network by using historical freight data to predict the China Container Freight Index (CCFI), the leading export container freight index commonly used in China. …
Applicability Of Reducing Valve Timing Overlap For Diesel Engines Under High Exhaust Back Pressure, Chien-Cheng Chen, Yuan-Liang Jeng, Shun-Chang Yen
Applicability Of Reducing Valve Timing Overlap For Diesel Engines Under High Exhaust Back Pressure, Chien-Cheng Chen, Yuan-Liang Jeng, Shun-Chang Yen
Journal of Marine Science and Technology–Taiwan
The exhaust back pressure of diesel engines becomes increasing higher nowadays. As an example, the De-NOx system and DE-SOx system necessitated by the increasingly stringent emission standards, would result in increased exhaust back pressure for those diesel engines adopting such systems. Some ships adopt underwater exhaust system to save space on the working deck and to reduce noise and air pollution, while the hydrostatic pressure under water level has made the exhaust back pressure of diesel engines getting much higher. Under high exhaust back pressure, to keep discharging exhaust unhindered and operating smoothly for diesel engine, it often results in …
Elimination Of Noise In A Ship Cabin Using Multi-Layered Acoustic Boards: An Apso And Sa Approach, Min-Chie Chiu, Ho-Chih Cheng
Elimination Of Noise In A Ship Cabin Using Multi-Layered Acoustic Boards: An Apso And Sa Approach, Min-Chie Chiu, Ho-Chih Cheng
Journal of Marine Science and Technology–Taiwan
A high level of noise, combined with pure tones, is often encountered in ship's cabins, leading to severe psychological and physiological issues for the crew. To address this problem, an indoor noise abatement solution becomes necessary that utilizes efficient acoustic boards integrated with resonators, positioned along the inner walls of the cabin. However, the thickness of the acoustic boards must be strictly limited due to maintenance and operational considerations. This limitation results in insufficient sound absorption capabilities and a restricted range of tuned frequencies, as the resonating frequency of a standard Helmholtz resonator is closely tied to its cavity. A …
Numerical Study On The Aerodynamic Performance Of Four Flettner Rotors By Varying Distance And Spin Ratio, Janghoon Seo, Dong-Woo Park
Numerical Study On The Aerodynamic Performance Of Four Flettner Rotors By Varying Distance And Spin Ratio, Janghoon Seo, Dong-Woo Park
Journal of Marine Science and Technology–Taiwan
The Flettner rotor is a wind-assisted propulsion system applied in eco-friendly ship to reduce greenhouse gas emissions. As the requirements of international regulations on greenhouse gas emissions become increasingly strict, multiple Flettner rotors are being applied, necessitating the evaluation of their performance with varying design parameters. The present study focuses on the aerodynamic performances of four Flettner rotors with variable design parameters of distance and spin ratio. Distances and spin ratios, including relative spin ratios, are considered. The drag and lift coefficients and lift-to-drag ratio of Flettner rotors are determined using Computational Fluid Dynamics (CFD), and the associated flow fields …
Underwater Image Enhancement Algorithm For Dual Color Spaces, Xingsheng Shen, Yalin Song, Shichang Li, Xiaoshu Hu
Underwater Image Enhancement Algorithm For Dual Color Spaces, Xingsheng Shen, Yalin Song, Shichang Li, Xiaoshu Hu
Journal of Marine Science and Technology–Taiwan
Targeting issues related to low contrast, blurring, and loss of detail prevalent in underwater image enhancement algorithms, we propose a dual-color space multiscale residual network (DMR-SCNet) based on SCNet. First, we introduce the HSV color space feature extraction module, which aims to optimize the color representation and saturation of underwater images. Subsequently, we propose the RGB color space denoising module, which focuses on repairing the content and structure of underwater images to enhance their clarity and visual quality. Finally, by designing the residual attention (RAB) module, we aim to further refine the detailed representation and feature extraction of underwater images. …
A Novel Identity Authentication Mechanism For Unmanned Maritime Vessels Communication Based On Mitre Att&Ck Framework, Junxian He, Shih-Hao Chang
A Novel Identity Authentication Mechanism For Unmanned Maritime Vessels Communication Based On Mitre Att&Ck Framework, Junxian He, Shih-Hao Chang
Journal of Marine Science and Technology–Taiwan
With the development of the smart shipping industry, unmanned vessel technology is rapidly evolving, accompanied by a demand for robust Internet of Things (IoT) communication security practices. Key communication technologies for the operation of unmanned vessels include external vessel communication. One crucial aspect is the verification of the identities of the parties involved in these communication systems, as this ensures secure and trusted interactions between unmanned vessels and port management authorities. Identity authentication plays a vital role in ensuring the secure communication of unmanned vessels.This paper aims to analyze potential risks related to identity authentication technology in unmanned vessel communication …
Corrigendum To “Applicability Of Reducing Valve Timing Overlap For Diesel Engines Under High Exhaust Back Pressure”
Journal of Marine Science and Technology–Taiwan
No abstract provided.
Distribution And Population Structure Of Corallivorous Drupella Snails In The Coral Reefs Of Kenting In Taiwan, Chih-Jui Tan, Dun-Ru Kang, Li-Lian Liu
Distribution And Population Structure Of Corallivorous Drupella Snails In The Coral Reefs Of Kenting In Taiwan, Chih-Jui Tan, Dun-Ru Kang, Li-Lian Liu
Journal of Marine Science and Technology–Taiwan
The corallivorous Drupella snails are common predators of living hard corals in the Indo-Pacific Ocean, and they can significantly threaten coral reef ecosystems when outbreaks occur. In Taiwan, a Drupella outbreak, which resulted in the dramatic decline of Acropora and Montipora corals, was reported in Penghu in 2002 – 2009. However, the Drupella species involved was not identified, and no further research has been conducted. To obtain current knowledge on the predation pressure of corallivorous snails on hard corals, we investigated benthic communities and the distribution and population structure of Drupella snails in the coral reefs of Kenting, Taiwan. The …
Evaluating The Connectivity Reliability Of The Seaborne Transportation Network Using Uncertainty Theory, Tianshou Liu, Haiyang Bian, Lin Feng, Chenyang Fan, Chaojun Ding, Grifoll Manel, Hongxiang Feng
Evaluating The Connectivity Reliability Of The Seaborne Transportation Network Using Uncertainty Theory, Tianshou Liu, Haiyang Bian, Lin Feng, Chenyang Fan, Chaojun Ding, Grifoll Manel, Hongxiang Feng
Journal of Marine Science and Technology–Taiwan
The shipping network serves as the backbone of international trade. However, due to unstable geopolitical conditions, unexpected events have occurred frequently in recent years that have impacted the global shipping supply chain, and this has placed enormous pressure and had adverse effects on seaborne transportation. To measure the reliability of the global shipping network under unexpected events, we abstract the global shipping network into a small world network using uncertainty theory. A method is proposed for selecting (i) the optimal reliable path and (ii) the optimal reliable path with a maximum measurement under different confidence intervals. Our approach is then …
Mechanical Property Analysis And Three-Dimensional Reverse Reconstruction Based On Corrosion Pit Characteristics Of Strong Corrosion Steel Plate, Qiujun Ning, Xiaosong Lu, Jiawei Lu
Mechanical Property Analysis And Three-Dimensional Reverse Reconstruction Based On Corrosion Pit Characteristics Of Strong Corrosion Steel Plate, Qiujun Ning, Xiaosong Lu, Jiawei Lu
Journal of Marine Science and Technology–Taiwan
To investigate the strong corrosion effect of 36% industrial hydrochloric acid on Q370 steel for bridges at room temperature. The surface morphology variations of the Q370 steel for bridges with corrosion time were measured and analyzed using a three-dimensional non-contact scanning profilometer. Subsequently, the standard monotonic tensile test was carried out to obtain the load-displacement curve and analyze the mechanical properties of the heavily corroded steel. Moreover, the constitutive model parameters of the heavily corroded steel were optimized. Furthermore, the heavily corroded steel model base on the actual corroded surface morphology was established, employing three-dimensional reverse reconstruction technology and finite …
Sea Ice Identification And Risk Assessment For Navigation In Ice Regions Based On Shipboard Camera Images, Tsung-Hsuan Hsieh, Xuan Lu, Shengzheng Wang, Wei Liu, Jianan Luo
Sea Ice Identification And Risk Assessment For Navigation In Ice Regions Based On Shipboard Camera Images, Tsung-Hsuan Hsieh, Xuan Lu, Shengzheng Wang, Wei Liu, Jianan Luo
Journal of Marine Science and Technology–Taiwan
In order to guarantee the safe navigation of vessels in icy regions and effectively capture sea ice risk information surrounding ships, this study introduces a sea ice identification and risk assessment process utilizing shipboard camera images. Firstly, based on the distribution characteristics of sea area, a hierarchical region segmentation algorithm is proposed to precisely remove interference factors and extract the region of interest. Then, a multivariate K-means clustering algorithm is proposed to classify sea ice classes based on various characteristics, including spatial similarity, sea ice area, sea ice thickness, gray scale, and other multivariate information. Finally, a method for small …
Optimization On Container Drayage Scheduling In Stochastic Time-Dependent Network, Qi Xu, Jie Huang, Xingyue Chen, Rui Cheng, Xiangyu Yin, Zhongzhen Yang
Optimization On Container Drayage Scheduling In Stochastic Time-Dependent Network, Qi Xu, Jie Huang, Xingyue Chen, Rui Cheng, Xiangyu Yin, Zhongzhen Yang
Journal of Marine Science and Technology–Taiwan
To ensure a reliable operation of container drayage transport system, this paper investigates the drayage scheduling problem in a stochastic time-dependent network. Based on the theory of the robust optimization, a mathematical model considering the attributes of “synchronized operation of multi machines” is built with the aim of minimization of the schedule delay in the whole system. A Simulated Annealing algorithm with Embedded Heuristics (SAEH) is designed for model solution. Comparisons between the results from the robust optimization and traditional expected value approach, and the results from the SAEH and CPLEX are conducted. Based on that, the effectiveness of our …
Offshore Vertical Axis Wind-Photovoltaic Power Plants: Development And Case Study, Victor V. Cheboxarov, Pavel N. Kuznetsov, Shun-Han Yang, Shiu-Wu Chau
Offshore Vertical Axis Wind-Photovoltaic Power Plants: Development And Case Study, Victor V. Cheboxarov, Pavel N. Kuznetsov, Shun-Han Yang, Shiu-Wu Chau
Journal of Marine Science and Technology–Taiwan
This paper examines the potential for the development and implementation of hybrid wind-solar power plants utilizing large-scale offshore vertical-axis wind turbines. The proposed solution aims to increase energy production and reliability through the integration of photovoltaic modules directly into the wind turbine structure. Schematics of photovoltaic modules on the upper annular surface of the respective wind turbine are considered. The operation of the hybrid power plant is described. Equations to estimate the power characteristics of the plant are given. The case study analyzes the potential energy production of a hybrid marine power plant with a diameter of 200 m at …
Harvest By Autoflocculation, Biomass, And Carotenoid Production In Sequential Batch Culture Of Haematococcus Pluvialis Under High Ionic Strength And Macroelements Content, J. Galán-González, I. Quintero-Zapata, M Elías-Santos, L.J. Galán-Wong, U.J. López-Chuken, C Guajardo-Barbosa, J.C Beltrán-Rocha
Harvest By Autoflocculation, Biomass, And Carotenoid Production In Sequential Batch Culture Of Haematococcus Pluvialis Under High Ionic Strength And Macroelements Content, J. Galán-González, I. Quintero-Zapata, M Elías-Santos, L.J. Galán-Wong, U.J. López-Chuken, C Guajardo-Barbosa, J.C Beltrán-Rocha
Journal of Marine Science and Technology–Taiwan
Haematococcus pluvialis is a microalga with significant potential due to its capacity to produce carotenoids with antioxidant and nutraceutical benefits. However, the cost of harvesting this microalga, constituting over 30% of total expenses in large-scale production, is a major concern. Efficient flocculation, aiding in cell separation from the culture medium, is crucial to address this issue. The study contrasted Bold’s Basal Medium (BBM) with Lopez-Chuken & Young nutrient solution (LC-Y). The heightened salt content in LC-Y plays a crucial role in fostering saline stress, which is essential for evaluating H. pluvialis flocculation, biomass yield, and carotenoid production. To assess stability …
Research Progress On Ship Trajectory Prediction In Marine Transportation, Xiangen Bai, Kai Ye, Xiaofeng Xu
Research Progress On Ship Trajectory Prediction In Marine Transportation, Xiangen Bai, Kai Ye, Xiaofeng Xu
Journal of Marine Science and Technology–Taiwan
The prediction of ship navigation trajectories is crucial for ensuring maritime navigation safety and forecasting risk. In recent years, extensive research has been conducted on the prediction of ship navigation trajectories at home and abroad, and some results have been achieved. At present, most research on ship navigation trajectory prediction relies heavily on automatic identification system (AIS) data and the historical trajectories of ships. This study first reviews the research background and current situation of ship navigation trajectory prediction. Second, it provides an overview of ship navigation trajectory prediction, with an emphasis on sorting out and elaborating on artificial intelligence …
Numerical Investigations On Particle Collection And Discharge Of Rounded Rectangle Aquaculture Tank In Dual-Diagonal-Inlet Layout, Xiaozhong Ren, Shupeng Du, Hangfei Liu, Xianying Shi, Meng Li, Xian Wang, Suping Liu
Numerical Investigations On Particle Collection And Discharge Of Rounded Rectangle Aquaculture Tank In Dual-Diagonal-Inlet Layout, Xiaozhong Ren, Shupeng Du, Hangfei Liu, Xianying Shi, Meng Li, Xian Wang, Suping Liu
Journal of Marine Science and Technology–Taiwan
To improve the space utilization rate of aquaculture tanks in aquaculture facilities and investigate the effect of the length-width ratio parameter (abbr. L/W, with L being the length of the tank and W being its width) on the particle collection and discharge characteristics of the rounded rectangle aquaculture tank with diagonal double inlet pipes. The study simulates the particle discharge procedure of the tank using a solidliquid two-phase numerical model (discrete phase model and RNG k-ε turbulence model adopted). The validity of the numerical model was confirmed through physical experiments. The simulation results for two jet condition indicate that when …
Novel Supercritical Biodiesel Plant Design & Process Scale-Up, Ghana Shyam Paudel
Novel Supercritical Biodiesel Plant Design & Process Scale-Up, Ghana Shyam Paudel
Doctoral Dissertations
"Current energy prices, national energy security, and global climate change fuel our momentum to find efficient advanced fuels choices. In this study, biodiesel processing, and a novel design for next generation biodiesel plants are explored. During a National Science Foundation (NSF) I-Corps project we identified three creative and profitable improvements to the process: 1. Incorporating Energy intensive separations and reactions 2. Utilizing Low commodity glycerol and 3. Applying process intensification principles.
Current biodiesel processes are catalyzed processes using continuous stir reactors with distillation systems to separate material constituents. We tested a lab-scale nocatalyst supercritical biodiesel process using waste cooking oil …
Impact Of Glottis Area On Airflow Dynamics In The Human Trachea Using A Simplified Stenosis Pipe Model, Amany M. Kamal, Momtaz Sedrak, Abouelmagd Abdelsamie
Impact Of Glottis Area On Airflow Dynamics In The Human Trachea Using A Simplified Stenosis Pipe Model, Amany M. Kamal, Momtaz Sedrak, Abouelmagd Abdelsamie
Trends in advanced sciences and technology
A complex transitional flow is produced in the larynx during air inhalation process, pivotal for fundamental comprehension and medical advancements in treatment methodologies. This study delves into the influence of the glottis region utilizing a simplified stenosis pipe geometry, examining two distinct cases: (1) the axisymmetric case and (2) the eccentric case. Reynolds-averaged Navier–Stokes equations with shear stress transport (SST) 𝑘 − 𝜔 turbulence model with intermittency transition activated with steady, Newtonian, and incompressible airflow have been used. The analysis underscores the significant impact of the eccentricity on the velocity by increasing 0.6% comparing with axisymmetric case, also particularly affecting …
3d Microtissue Model Of The Aged Ovarian Tumor Microenvironment, Peyton Clark
3d Microtissue Model Of The Aged Ovarian Tumor Microenvironment, Peyton Clark
All ETDs from UAB
Ovarian cancer is the 5th leading cause of cancer deaths for women, primarily due to treatment resistant and/or recurrent disease. Most cases of ovarian cancer are not diagnosed until distant metastases have formed, which drastically reduces overall survival. The median age at diagnosis is 63 and most cases occur in patients who are peri- and post-menopausal. There is a critical gap between the clinical presentation of ovarian cancer and the preclinical models used to study the disease. Most preclinical in vivo investigations use mice who are between 6 and 12 weeks old, which corresponds to roughly a 20-year-old human. Therefore, …