Miracle-dz/UniFAR-FTUs huggingface dataset:
A microchannel-based thermal management system for hydrogen storage adsorbent beds

Approved: Brian K. Paul Hydrogen has been shown to be a promising replacement for fossil fuels for use in light duty vehicles because it is a clean, renewable and plentiful resource with a high gravimetric energy density. However, in order to obtain an acceptable volumetric energy density, densification of the hydrogen is required. Adsorptive materials have been shown in the literature to increase volumetric and gravimetric storage densities. A major issue with adsorptive storage is that the adsorption process generates heat and optimal storage conditions are at temperatures below 100 K at pressures up to 50 atm. There is a need to develop heat exchanging architecture that enables adsorbents to be a viable method for hydrogen storage by managing the thermal environment of the storage tank. Based on previous modeling efforts to determine an acceptable bed module height for removal of heat via microchannel cooling plates, a thermal management system has been designed and tested capable of removing the heat of adsorption within adsorbent-filled hydrogen storage tanks. The system uses liquid nitrogen cooling to maintain tank temperatures of below 80 K at 50 atm. System studies show that the microchannel architecture offers a high cooling capacity with about a 6% displacement volume. Simulations and experiments have been conducted to evaluate the design for the cooling capacity, pressure drop, and flow distribution between and across the cooling plates, stress due to the pressurized environment, and thermal stress. Cost models have been developed to demonstrate that the system can be manufactured for a reasonable cost at high production volumes. Experimental results show that the modular system offers an acceptable cooling capacity and pressure drop with good flow distribution while adequately managing thermal stresses during operation. A Microchannel-Based Thermal Management System for Hydrogen Storage Adsorbent Beds by Leif J. Steigleder A THESIS Submitted to Oregon State University in partial fulfillment of the requirements for the degree of
Uric Acid may predict post cardiac surgery renal function in patients with or without chronic kidney disease

Submit Date 2020-04-17 Revise Date 2020-05-29 Accept Date 2020-06-03 ABSTRACT BACKGROUNDː Acute kidney injury (AKI) is one of the most severe complications of cardiac surgery. Early detection of AKI is of great significance as the development of AKI is a heavy burden on both patients and the health care system. Many biomarkers have been shown to predict and diagnose AKI in recent years. The elevated serum uric acid level was associated with an increased probability of acute kidney injury through multiple and interactive mechanisms that lead to the development of chronic kidney disease. The aim of the present study was to obtain the role of serum level of Uric Acid (SUA)preoperative in prediction of acute renal injury (AKI)in post cardiac surgery. METHODSːThis is a prospective observational study of patients undergoing cardiac surgery. Blood tests for preoperative assessment of uric acid and postoperative follow-up of AKI. Patients were split into two classes, AKI and non-AKI. RESULTSː Sixty five patients (44 Males, 21 females) were included. After cardiac surgery, 24 (36.92%) patients developed AKI and serum uric acid was significantly increased in AKI patients. A higher predictive ability of SUA for AKI (AUC; 0.74, P=0.016) is observed by using receiver operator characteristics (ROC) curve analysis CONCLUSIONSː Preoperative uric acid may be an independent risk factor for postoperative AKI after cardiac surgery and may significantly predict AKI.
Passive Ranging Using Infra-Red Atmospheric Attenuation

Methods of estimating range to an emissive target based on the depth of an atmospheric absorption band are presented. The present work uses measurements of the CO 2 absorption band centered at 2.0 μm where signal-to-background ratios are maximum for many applications. Observed spectra are compared to model spectra to estimate range. Spectral regions with minimal attenuation are used to estimate source parameters in order to isolate atmospheric transmission. The spectra of 21 high explosive events were used to test this technique. A simple technique treating the fireball as a blackbody consistently underestimated true range by approximately 13%. A more realistic source model using some order-of-magnitude assumptions of fireball composition reduces range error to 3%. The technique produces accurate results without requiring detailed knowledge of source parameters or atmospheric conditions.
UNDERSTANDING THE INTERPRETATON, IMPLEMENTATION, AND IMPACT OF ENGINEERING ETHICS EDUCATION IN CANADA

Engineers have direct influence on the evolving planet. With the fundamental goal of continually creating a better world, it is essential for engineers to meaningfully understand ethical responsibility and the impact of engineering on society and the environment [4, 15]. Although efforts have been made to identify the objectives of engineering ethics education (EEE), little has been done to thoroughly investigate the impact EEE is having on individuals’ ethical development [6, 7, 13]. Furthermore, there is a large level of uncertainty as to the amount of exposure students have to EEE between programs, as well as the variability of ethics content students experience as a result of diverse interpretation of EEE objectives. The amount of exposure and type of content students are exposed to will affect the impact EEE has on them and hence, it is important to evaluate these aspects of the current implementation of EEE in Canada. This paper will review literature regarding the current state of EEE within Canada and the objectives of EEE, as well as propose a study to investigate students’ experience with EEE throughout undergrad and the impact that engineering ethics education may have on their ethical behaviours within an engineering context.
Raman study of shock features in plagioclase feldspar from the Mistastin Lake impact structure, Canada

Plagioclase feldspar is one of the most abundant minerals on the surface of the Earth, the Moon, and Mars, and is also commonly found in meteorites. Studying shock effects in feldspar thus provides us with fundamental information about impact cratering processes on planetary bodies. In this study, plagioclase from monomict and polymict breccias, impact melt rocks, and shock‐metamorphosed target rocks, from throughout the Mistastin Lake impact structure, Canada, was examined using 514 nm laser Raman spectroscopy. As one of the very few impact structures with anorthosite in the target rocks, the Mistastin Lake impact structure provides a unique opportunity to study shocked plagioclase displaying progressive shock metamorphic features. A series of microscopic features was observed within plagioclase, including twins, needle‐like inclusions, planar features, and alteration. The lack of planar deformation features is notable. Raman spectra of these features suggest that this technique is capable of differentiating and classifying shock features in low to moderately shocked rocks. Caution should be exercised, however, as Raman spectra collected from unshocked plagioclase references with known compositions indicate that peak width and peak ratio of the Raman peaks in lower wave number region (<350 cm−1) and the main signature peaks around 500 cm−1 vary with chemical composition and crystal orientation. Data collected from diaplectic glass suggest that Raman features are efficient in distinguishing crystalline plagioclase and diaplectic glass. We also observed significant variations in the Raman intensities collected from diaplectic glass, which we ascribe to the localized disorder or inhomogeneity of shock pressure and temperature throughout the target.
Iagotchi : vers un agent conversationnel artistique

Cet article decrit Iagotchi, un personnage virtuel philosophique et artistique qui apprend et developpe des connaissances a partir de ses interactions avec l’humain. Iagotchi se presente a la fois comme un apprenant et un expert avec comme objectifs principaux (1) d’accompagner l’homme dans ses questionnements, (2) de lui fournir des reponses pertinentes sur la base de ses requetes et (3) de generer des textes poetiques coherents. Dans ce travail, nous decrivons l’architecture du systeme de Iagotchi et les composants cles tels que le moteur de conversation, le gestionnaire de sujets et le generateur de poesies.
Effects of Graphene-Based Fillers on Cathodic Delamination and Abrasion Resistance of Cataphoretic Organic Coatings

This study aims to demonstrate the excellent protective performance of functionalized graphene oxide (fGO) flakes in acrylic cataphoretic coatings. The filler content provides an important contribution in improving the chemical and mechanical resistance of the acrylic matrix. The morphology of the fillers was first investigated by optical and electron microscopy, analysing the distribution of the fGO flakes within the polymer matrix. After that, the flakes were added to the cataphoretic bath in different concentrations, resulting in four series of samples. The cathodic delamination of the coatings was assessed with cathodic polarization cycles and with measurements carried out with a scanning Kelvin probe. Finally, the abrasion resistance at the macroscopic and microscopic level was studied by scrub testing and scratching atomic force microscopy analysis, respectively. The incorporation of fGO at the optimized concentration of 0.2 wt. % greatly increases the cathodic delamination resistance of the acrylic matrix, resulting in an effective barrier against the effects of absorbed aggressive substances. Graphene-based fillers also enhance abrasion resistance, thanks to their high mechanical strength. Thus, this work demonstrates the great protective benefits that can be obtained when using fGO flakes as reinforcing fillers in cataphoretic coatings.
The relationship of woody plant size and leaf nutrient content to large‐scale productivity for forests across the Americas

Ecosystem processes are driven by both environmental variables and the attributes of component species. The extent to which these effects are independent and/or dependent upon each other has remained unclear. We assess the extent to which climate affects net primary productivity (NPP) both directly and indirectly via its effect on plant size and leaf functional traits. Using species occurrences and functional trait databases for North and South America, we describe the upper limit of woody plant height within 200 × 200 km grid‐cells. In addition to maximum tree height, we quantify grid‐cell means of three leaf traits (specific leaf area, and leaf nitrogen and phosphorus concentration) also hypothesized to influence productivity. Using structural equation modelling, we test the direct and indirect effects of environment and plant traits on remotely sensed MODIS‐derived estimates of NPP, using plant size (satellite‐measured canopy height and potential maximum tree height), leaf traits, growing season length, soil nutrients, climate and disturbances as explanatory variables. Our results show that climate affects NPP directly as well as indirectly via plant size in both tropical and temperate forests. In tropical forests NPP further increases with leaf phosphorus concentration, whereas in temperate forests it increases with leaf nitrogen concentration. In boreal forests, NPP most strongly increases with increasing temperature and neither plant size nor leaf traits have a significant influence. Synthesis. Our results suggest that at large spatial scales plant size and leaf nutrient traits can improve predictions of forest productivity over those based on climate alone. However, at higher latitudes their role is overridden by stressful climate. Our results provide independent empirical evidence for where and how global vegetation models predicting carbon fluxes could benefit from including effects of plant size and leaf stoichiometry.
Numerical and Experimental Study of the Impeller of a Liquid Pump or a Truck Cooling System and the Development of a New Technological Open-Type Impeller

Typically, closed-type impellers are more efficient than open-type impellers, but in the manufacture of closed-type impeller, cost of wheels is higher. This paper describes the development of cost-effective and simple impeller wheel for a fluid pump in the truck cooling system. To perform this task, the numerical computations of a standard impeller wheel were carried out, its characteristics were also obtained from a test bench, the standard impeller wheel model was verified. The open-type impeller wheel was developed according to the current dimensions of standard impeller wheel and then analyzed with the numerical computations by the software ANSYS CFX (Academic license) computational fluid dynamics. The developed open-type impeller wheel works very effectively in spite of performance degradation by 5% in comparison to the closed-type impeller wheel. When working as a part of engine, the pump efficiency is 0.552-0.579. The maximum value of the pump efficiency is 0.579, it can be achieved at the highest speed of the pump (4,548 rpm and 655 l/min)
Effect of execution process on pile group-excavation interaction

ABSTRACT The stress relief and soil movement caused by excavation have a significant impact on behaviours of deep foundation. To assess damage to adjacent piles, this research evaluates bearing capacity and displacement of pile groups. In addition, due to the effects of construction sequences of pile andexcavation on their interactions in the non-elastic environment, two scenarios of simulations were performed. The first scenario was performed by simulating pile groups followed by near excavation modelling. The second scenario was carried out by modelling excavation followed by simulating near piles. The PLAXIS 2-D Foundation finite element software was used for numerical simulation, and input variables were physical parameters of pile group, and type of soil, which assessed the function of friction piles. Based on results, the percentage of bearing capacity reduction ranged between 3% and 21%, the maximum displacement was 155 mm in the second method, and the most critical conditions were witnessed in the first scenario.
Platelet Rich Fibrin (PRF) Application in Oral Surgery

Platelet rich fibrin (PRF) is an autologous biological product which becomes popular day by day and available in a wide variety of fields in medicine. Platelet concentrates which are introduced at the early 90s have evolved over the years. The use such autologous materials have become trendy in recent years to encounter demanding expectations of patients, improve treatment success and maximize patient comfort. Despite its increasing use in dentistry and oral surgery, the most indications and effects are still being discussed. PRF is easily accepted by patients because of its low cost, easy to receive, low donor morbidity, low postoperative complication and infection rate. This biomaterial may be a solution for patients who have strong negative beliefs about the use of allografts and xenografts or who are afraid of complications during the grafting procedure. The objectives of these technologies are to use their synergistic effect to improve the hard and soft tissue regeneration. PRF in oral surgery are used for alveolar bone reconstruction, dental implant surgery, sinus augmentation, socket preservation, osteonecrosis, oroantral fistula closure, struggling with oral ulcers, preventing swelling and edema constitution. This chapter aims to review the clinical applications of platelets in oral surgery and the role of molecular components in tissue healing.
Telisik Faktor Pengaruh Kinerja Maqashid Syariah Bank Syariah Di Indonesia

This study aims to examine the effect of temporary syirkah funds, board of commissioners, independent commissioner, sharia supervisory board, dual position of sharia supervisory board, audit committee, and audit committee meeting on maqasid syariah performance of Islamic bank in Indonesia during the period 2015 – 2017. The sample of this study was chosen by purposive sampling and obtained data 33 banks with 11 banks per year. This hypothesis testing in this study used multiple regression model. The result shows that temporary syirkah funds, board commissioners, sharia supervisory board, dual position of sharia supervisory board, and audit committee have an effect on maqasid syariah performance of Islamic bank. However, audit committee meeting do not have an effect on maqasid syariah performance of Islamic bank.
A study on perceived stress among young adults during social isolation

Background: As Kolkata (metropolitan city of West Bengal, India) has gone under lockdown due to the outbreak of covid-19 since March, 2020 social distancing has become a local term. It’s been reported in news, journals and researches that there are increasing cases of stress and anxiety due to the pandemic. The World Health Organization also issued a journal “Mental health and psychosocial considerations during the COVID-19 outbreak” stating the possible increase of stress and anxiety due to the pandemic which includes social isolation, constant stream of news reports and misinformation. Aim: The objective of the study is to find and compare the perceived stress among the young adults of Kolkata during social isolation. Materials and Method: The study was conducted on the age group of 18-25-year-old (N=100) of Kolkata by using two versions of PSS Item Inventory (Perceived Stress Scale by Sheldon Cohen) -PSS 10 and PSS-14, which was emailed to them. The scores were then calculated after which the Mean and Standard Deviation was compared between males and females; students and working individuals. Results: The study shows that females have higher perceived stress than men in both of the versions of PSS (10 and 14). It was also seen that working individuals have more perceived stress than students. Conclusion: Stress among young adults is not out of the ordinary these days and with the effect of social isolation it can have a havoc on one’s mental and physical health. Some stress relieving techniques like yoga and exercise, engaging in art or a hobby, meditation, staying connected with loved ones virtually, keeping a journal can help people during isolation.
The effect of the burden of patient care with cancer on family caregivers

Cancer is a major problem that affects today's society. Besides patients suffering from this disease, cancer has also a huge impact on the quality of life of the family. This study aimed to investigate the latest bibliography on the effect of the burden of patient care with cancer on family caregivers. Family caregivers face physical health problems such as physical pain, fatigue, sleep disturbances. Moreover, several psychological effects are shown, in which various disorders such as depression are included. Psychological disorders, also, include adjustment disorder, panic disorder, anxiety, and emotional reactions such as anger, frustration, and fear. In the financial sector, caregivers face several problems due to the coverage of medical needs which are reinforced by reducing or stopping their work because of the care burden. At the same time, they are confronted with social impacts in which loneliness and isolation are attributable to the limitation of their social activities. As far as the age group of the patient is concerned, the effects of caring for young patients are more psychological than physical in opposite to the older people. The burden experienced by the family of the cancer patient exhausts family and it becomes necessary to identify problems and assess their needs. Health professionals should strength caregivers with actions such as psychological support, training, and participation in social and supportive programs in order to improve their personal health and quality of life.
Numerical Analysis of Urine Flow with Multiple Sizes of Double-J Stents

This study investigated which sizes of double-J stents are more effective in achieving an acceptable urine flow through stenotic and stented ureters. Sixty four computational fluid dynamics models of the combinations of two different gauge ureters (4.57 mm and 5.39 mm in diameter) with four different levels of ureteral and four different sizes of double-J stents were developed for the numerical analysis of urine flow in the ureter. Luminal, extraluminal, and total flow rates along the ureter were measured, and the flow patterns around the ports and side holes were investigated. For the 4.57-mm ureter, the total flow rate for each gauge of stent was 23–63 mL/h (5 Fr), 20–47 mL/h (6 Fr), 17–35 mL/h (7 Fr), and 16–26 mL/h (8 Fr) and for the 5.39-mm ureter, the total flow rate for each gauge of stent was 43–147 mL/h (5 Fr), 36–116 mL/h (6 Fr), 29–92 mL/h (7 Fr), and 26–71 mL/h (8 Fr). With a 74% stenosis, all stents allowed a low flow rate, and the differences in flow rates between the stents were small. At the other levels of stenosis, 5 Fr stents allowed greater flow rates than the 8 Fr stents. The luminal flow rate increased just before the area of stenosis and decreased after the stenosis because of the increase and decrease in the luminal flow through the side holes before and after the stenosis. Therefore, a larger double-J stent is not favorable in achieving an acceptable urine flow through the stenotic and stented ureters. The results in this study could not be necessarily correlated with clinical situation because peristalsis, viscosity of the urine and real format of the ureter were not considered in our model. In vivo experiments are necessary for confirmation of our findings. Double J stents are commonly used in the ureteral stenosis or occlusion, especially due to ureter stones which obstruct the flow of urine. Clinicians choose the size of double J stent on the basis of their clinical experience. Here, we tried to know which sizes of double J stents are better for sufficient urine flow. According to various documents that try to determine the optimal shape of double J stents to increase the urine flow through the ureter, mostly bigger stent is recommended to occur maximum urine flow. However, in case of ureter with stenosis or occlusion, the right size of the double J stent may vary depending on the degree of stenosis in the ureter. To find appropriate stent size for the ureter with stenosis, computational fluid dynamics was conducted. This study shows that smaller diameter stents are more appropriate than larger diameter stents depending on the situation.
Machine Learning with Feature Importance Analysis for Tornado Prediction from Environmental Sounding Data

Tornadoes pose a forecast challenge to National Weather Service forecasters because of their quick development and potential for life‐threatening damage. The use of machine learning in severe weather forecasting has recently garnered interest, with current efforts mainly utilizing ground weather radar observations. In this study, we investigate machine learning techniques to discriminate between nontornadic and tornadic storms solely relying on the Rapid Update Cycle (RUC) sounding data that represent the pre‐storm atmospheric conditions. This approach aims to provide for early warnings of tornadic storms, before they form and are detectable by weather radar observations. Feature analysis of a Random Forest machine learning model uncovers that the pressure variable has little impact on the classification process, which is consistent with known key physical attributes of tornado formation, demonstrating the ability of machine learning techniques to provide insight solely based on the data.