Miracle-dz/UniFAR-FTUs huggingface dataset:
Shock Capturing Shallow Water Model for Long Waves Generated by a Moving Atmospheric Pressure

ABSTRACT Choi, Y. -K. and Seo, S. -N. , 2017. Shock capturing shallow water model for long waves generated by a moving atmospheric pressure. In: Lee, J.L. ; Griffiths, T. ; Lotan, A. ; Suh, K. -S. , and Lee, J. (eds.), The 2nd International Water Safety Symposium. Journal of Coastal Research, Special Issue No. 79, pp. 354–358. Coconut Creek (Florida), ISSN 0749-0208. The shock capturing numerical model based on nonlinear shallow water equations is developed to predict run-up as well as edge waves generated by a moving atmospheric pressure disturbance across a straight shoreline on a sloping beach. The HLL approximate Riemann solver with the fifth order accurate WENO scheme is used to compute numerical flux in spatial discretization, which yields better results in comparison with TVD-MUSCL type schemes. Numerical experiments are conducted for wave propagation by a moving atmospheric pressure disturbance normally approaching the coastline. When the atmospheric pressure disturbance suddenly acts on the water surface, both free and forced waves are generated and amplified due to shoaling and Proudman resonance. The maximum run-up is presented using different moving speeds for an atmospheric pressure. While wave run-up and run-down are repeated at the shoreline, edge waves are generated and propagate in the alongshore direction due to wave refraction.
Rabbit Antithymocyte Globulin Causes Blastomyces and Histoplasma Antigenemia

Abstract Rabbit antithymocyte globulin (rATG) is known to yield false-positive Histoplasma antigenemia. The fourth generation MiraVista Histoplasma antigen assay was modified to block this effect (MiraVista Diagnostics, Indianapolis, Indiana). We report a case of rATG-induced false-positive Blastomyces and Histoplasma antigenemia in a lung transplant recipient despite modifications of these antigen assays.
Optimization of the cumulative risk assessment of pesticides and biocides using computational techniques: Pilot project

computational techniques: Pilot project DTU Orbit (27/10/2019) Optimization of the cumulative risk assessment of pesticides and biocides using computational techniques: Pilot project This pilot project is intended as the first step in developing a computational strategy to assist in refining methods for higher tier cumulative and aggregate risk assessment of exposure to mixture of pesticides and biocides. For this purpose, physiologically based toxicokinetic (PBTK) models were developed for two compounds, tebuconazole and prochloraz, and a binary mixture of these compounds in two species, rat and human. PBTK models can be used to estimate the concentration levels (internal doses) of toxic substances and their metabolites in blood and tissue, by a collection of differential equations, and parameters describing species physiology and ADME (absorption, distribution, metabolism and elimination) characteristics of the chemicals. Sufficient data were found to determine the parameters needed for the PBTK model development. The PBTK models were validated on plasma and tissue concentration level data of tebuconazole in rabbit, and in most cases the predictions were seen to be within a factor of two compared to the experimental data. Also simple blood concentration measurements for both compounds from a mixture study in rat, and other data were used to validate and evaluate the models. Exposure scenarios were constructed based on findings of pesticide residues in food of ordinary consumers, and assessment of dermal exposure of professional workers. PBTK simulations were carried using these scenarios.
Observations de tortues marines en 1999 (Atlantique et Manche)

210 observations de tortues marines ont ete collectees sur les cotes de l'Atlantique et de la Manche en 1999. Ces donnees concernent quatre especes : la tortue Luth, Dermochelys coriacea (149 vivantes, 25 mortes) ; la tortue Caouanne, Caretta caretta (10 vivantes, 2 mortes) ; la tortue de Kemp, Lepidochelys Kempii (2 vivantes) et la tortue verte, Chelonia mydas (1 vivante). Sept C. caretta ont ete relâchees apres marquage.
The abandoned ice sheet base at Camp Century, Greenland, in a warming climate

In 1959 the U.S. Army Corps of Engineers built Camp Century beneath the surface of the northwestern Greenland Ice Sheet. There they studied the feasibility of deploying ballistic missiles within the ice sheet. The base and its wastes were abandoned with minimal decommissioning in 1967, under the assumption they would be preserved for eternity by perpetually accumulating snowfall. Here we show that a transition in ice sheet surface mass balance at Camp Century from net accumulation to net ablation is plausible within the next 75 years, under a business‐as‐usual anthropogenic emissions scenario (Representative Concentration Pathway 8.5). Net ablation would guarantee the eventual remobilization of physical, chemical, biological, and radiological wastes abandoned at the site. While Camp Century and four other contemporaneous ice sheet bases were legally established under a Danish‐U.S. treaty, the potential remobilization of their abandoned wastes, previously regarded as sequestered, represents an entirely new pathway of political dispute resulting from climate change.
Ethnobotanical Studies of Interior Area of Aligarh District (U.P.), India

From ancient times, the plants have been used as sources of medicines by the tribal or human being. However, information on the uses of plants medicine was lacking from many interior areas of Aligarh district. Visits were carried out in different areas for getting the information. The observation revealed that the local and rural communities use many plants in various common ailments like bronchitis, boil, tumor, cold and cough etc. in Aligarh district. These communities prepared polyhedral drugs either singly or in combination with other plant species. They have been using such preparations for a long time for human healthcare.
The Steroidal Glycosides of Allium waldsteini G. Don

Three steroidal compounds were isolated from the air-dried, pulverized, over ground parts of Allium waldsteini G. Don, and, on the basis of physical and chemical investigations, their structures were elucidated as (25R)-spirost-5-ene-1β,3β-diol 1-0-[α-Lrhamnopyranosyl. (1→2)-α-L-arabinopyranoside], (25R)-spirost-5-ene-1β,3β-diol 1-0-[β-D-glucopyranosyl. (1→3)-α-Lrhamnopyranosyl. (1→2)-α-L-arabinopyranoside] and 26-0-β-D-glucopyranosyl-(22R,25R). furost-5-ene-1β,3β,22α,26-tetrol 1-0-[α-L-rhamnopyranosyl-(1→2)-α-L-arabinopyranoside].
Bayesian stereo: 3D vision designed for sensor fusion

Classical stereo algorithms attempt to reconstruct 3D models of a scene by matching points between two images. Finding points that match is an important part of this process, and point matches are most commonly chosen as the minimum of an error function based on color or local texture. Here we motivate a probabilistic approach to this point matching problem, and provide an experimental design for the empirical measurement of the color matching error for corresponding points. We use this prior in a Bayesian scene reconstruction example, and show that we get better 3D reconstruction by not committing to a specific pixel match early in the visual processing. This allows a calibrated stereo camera to be considered as a probabilistic volume sensor -- which allows it to be more easily integrated with scene structure measurements from other kinds of sensors.
Molecular analysis of the blood cockle, Tegillarca granosa (Linnaeus 1758) from Indonesia

The blood cockle, Tegillarca granosa, is one of the key member of shellfish communities that are ecologically and economically important specially in Indonesia. We collected samples from four sites in Indonesia: Banyuwangi, Bali Island, Maros and Buru Island. Nucleotide sequence analysis was performed on PCR-amplified mitochondrial DNA COI gene. In total, 556-558 base pair nucleotide sequences were obtained from 12 individuals. Molecular analyses revealed samples belonging to the T. granosa species. Phylogenetic analyses were carried out by comparing the gene sequences of T. granosa haplotypes in Indonesia with gene sequences of the same base pair length and with the of Anadara tuberculosa which was used as an outgroup. The phylogenetic trees were consistent and indicated in the two sub-clades. The presence of T. granosa and the phylogenetic status of the T. granosa Indonesian haplotype were reported. Clarifying the phylogenetic status of ecologically important species provides basic information studies for possible future conservation and control programs.
Structurally and semantically coherent deep image inpainting

1 Chapter 1 . 2 1.1 Motivation . 2 1.2 Objectives . 3 1.3 Contribution Summary . 3 1.4 Thesis Outline . 4 Chapter 2 . 5 2.1 Literature Review . 5 2.2 Algorithms and Architectural Components . 5 2.3 DCGAN. 5 2.4 Facial Landmark Detector . 7 2.4. 1 Learning each regressor in the cascade . 8 2.4. 2 Regressor tree . 9 2.4. 3 Feature selection . 10 2.5 Backpropagation to input . 11 Chapter 3 . 13 3.1 Proposed Model . 13 3.2 Loss Function . 14 3.2.1. Weighted Context Loss . 15 3.2.2 Landmark Loss . 16 3.2.3. Prior Loss . 16
Analysis of GNSS/IMU Sensor Fusion at UAV Quadrotor for Navigation

To determine the position and navigation of an unknown environment, UAVs rely on sensors that provide information regarding position, speed, and orientation. There are sensors to provide direct navigation information such as the Global Navigation Satellite System (GNSS) by providing position data, or indirect sensors such as inertial sensors which provide speed and orientation data. An inertial sensor or commonly known as an Inertial Measurement Unit (IMU) is a combination of data acceleration (accelerometer) and angular velocity (gyroscope). By performing GNSS/IMU sensor fusion at UAV Quadrotor will increase the accuracy of aircraft localization based on its mathematical model involving the Kalman Filter approach. The main goal is to improve the coordinates obtained from Quadrotor UAV measurements, so that position of UAV Quadrotor aircraft is more accurate. Raw data of sensors GNSS/IMU is obtained during the flight of the aircraft. Visual comparison is used to determine whether the coordinate of the processed data has better accuracy than the raw data. The results showed that the Unscented Kalman Filter (UKF) simulation gave 3D position accuracy of 0.403 m to the measurement data. It can improve 23,47% fprm EKF Estimation which give 3D position accuracy of 16.598 m.
Revealing consumer attitudes towards green products: the role of environmental awareness, perceived value, and media influence on zero waste products purchase intentions

Climate change and extreme weather, natural disasters, and many other events caused by global warming are real detrimental effects of the current natural damage. This obliges business actors to use natural resources responsibly for business purposes and continuously change and develop environmentally friendly products. Zero waste is a philosophy of life that encourages people to consume more responsibly and maximize the life cycle of resources so that products can be reused. This study aimed to determine the effect of consumer attitudes towards green products, which impact the intention to buy zero-waste products based on the influencing factors. In the data collection process, researchers used a quantitative research method. Data collection was obtained from 213 respondents who had consumed zero waste products. The data analysis process was carried out using the SEM-PLS method. The study results show that environmental awareness and perceived values increase willingness to pay and purchase intentions of zero waste products.
The Urban Sprawl Typology and The Urban Growth Pattern of Peri-Urban Area in Aceh Besar Regency, Aceh

After the 2004 tsunami, Banda Aceh experienced rapid urbanization to the south and east of the city as the city grew further away from the coastline. As a result, the urban area grew beyond the city boundary into Aceh Besar Regency, especially in Darul Imarah and Ingin Jaya sub-districts. Hence, these sub-districts experienced rapid development, characterized by extensive conversion of agricultural land into built-up areas. Therefore, uncontrolled development in peri-urban areas will lead to urban sprawl causing negative environmental, economic, and social impacts. This study aims to study the level of urban sprawl and examine the urban growth pattern in peri-urban areas, focusing on Darul Imarah and Ingin Jaya sub-districts. This research used scoring analysis and spatial analysis. First, Maximum Likelihood Classification (MLC) was used to identify built-up areas in 2005 and 2020. Then, the urban growth pattern was analyzed using Landscape Expansion Index (LEI). The classification of urban sprawl was analyzed using five variables: population density, building density, distance to the city center, development within reach of road network, and leapfrog development patterns. The results showed that 33 villages (40%) in the study area were identified as sprawl. In addition, seven villages (21.2%) were classified as high-level urban sprawl, nine villages (27.3%) as medium level, and 17 villages (51.5%) as low level. Urban sprawl development was dominated by the ribbon development pattern (49.6%), concentric pattern 40.8%, and leapfrog pattern 9.6%. The ribbon development occurred along the main road, while the concentric pattern occurred around the current urban subcenter. The urban sprawl has caused negative implications such as higher car ownership and the loss of agricultural land. This research suggests Banda Aceh City and Aceh Besar Regency governments cooperate to control the urban sprawl and its negative impact by establishing a more sustainable urban policy and strengthening regional cooperation.
Identifying Potential Areas for Oil and Gas Well Location Planning Using Support Vector Machine Algorithm

To fulfill national energy needs for the National Energy Grand Strategy (GSEN), it is necessary to increase the productivity of oil and gas exploration by involving technology that provides alternative solutions, cuts work time, and overcomes the risk of failure. This research aims to identify potential areas for planning new oil and gas well locations using a machine learning algorithm called Support Vector Machine (SVM). This research chooses four splitting ratios of 80:20, 75:25, 60:40, and 50:50 on training and testing data to produce four models and to identify the most robust model for Blora Regency. The algorithm involves fourteen conditioning parameters comprising altitude, slope, aspect, distance from the river network, land cover, distance from the road network, soil type, Normalized Difference Vegetation Index (NDVI), clay mineral index, iron oxide index, surface temperature, complete Bouguer anomaly (CBL), distance from the fault, and rock type. This research uses the confusion matrix and the ROC-AUC to evaluate all models and determine the best one. The result witnesses the best model is SVM 75:25 with an accuracy (Acc), sensitivity (Sen), specificity (Spe), and predictive value (PPV) of 0.8333; Matthew’s correlation coefficient and Cohen’s kappa of 0.6667; and area under the curve (AUC) of 0.9444. In addition, the conditioning parameter contributing the most significant influence on the best model is the slope equal to 100%.
Analysis Of 3-D Building Modeling Using Photogrammetric Software: Agisoft Metashape And Micmac

In constructing three-dimensional models, photogrammetry techniques, particularly close-range photogrammetry techniques, are growing and becoming an alternative, specifically for architectural and historical site modeling. Because they are less costly, simpler, and quicker to complete while producing positive results, there is a great number of photogrammetry software. Still, it is difficult to determine which application provides the best measurement results because user expectations vary. It is necessary to conduct geometric precision and visualization analyses to assess the software’s output. For this experiment, 3D models of a building were created using Agisoft Metashape and MicMac. The geometric accuracy calculated by Agisoft Metashape has RMSE values of x=0.025 m, y=0.037 m, and z=0.021 m. RMSE values for the MicMac are x=0.066 m, y=0.129 m, and z=0.118 m. Visually, the Agisoft Metashape-created three-dimensional model offers superior visual results and fewer connection points than the MicMac GUI. On a three-dimensional building model processed with Agisoft Metashape, the generated cloud-to-cloud distance is comparable to the distance between the reference point cloud. Except for the building’s rear, the distance between clouds using the MicMac is nearly identical to that of the reference point cloud.
Combinaison d'une loi de Weibull et d'un modèle de Cox pour la modélisation des taux de défaillance en fonction du temps et des facteurs d'influence

Mechanical systems reliability depends on design, use, physical environment… Moreover, failure mechanisms as fatigue or stress yield systems ageing. The reliability databases are not allowed to deal with these particularities because of generic and constant failure rates. Many uncertainties in reliability predictions can be due to the use of these databases. A failure rate modelling is introduced in this article, and aims at tacking into account both time and influencing factors. An example describes the methodology and is used for assessing the model accuracy.
Thermal performance of serpentine channel immersion cooling for lithium-ion battery 18650 with HFE-7100

This paper presents Serpentine Channel Immersion Cooling (SCIC) as a new design for battery immersion cooling applications using HFE-7100 dielectric fluid. The main objective of this research is to analyze the temperature generation characteristics of Li-ion batteries with the performance of natural convection (NC) and Serpentine Channel Immersion Cooling (SCIC) with HFE-7100 liquid. The depth of discharge (DoD) is carried out at 80% of the battery capacity during the discharge process with variations in C-rates of 1 C, 1.5 C, and 2 C. The results show that the C-rate has a greater value, the temperature value released by the battery will also be greater. The negative pole, intermediate battery, and positive pole exhibit the characteristics of the battery pack’s surface temperature in order from highest to lowest throughout the discharge process. At the negative pole of the battery, the highest temperature in NC cooling is 30.1°C, 32.3°C, and 33.3°C can reduce this temperature to 28.8°C, 29.73°C, 31.8°C by SCIC with HFE-7100 liquid at DoD 1 C, 1.5 C, and 2 C respectively. Battery surface temperature characteristics based on channel position from highest to lowest using NC in the order of 6-3-2-4-5-1 and SCIC in the order of 6-5-4-3-2-1.
3D Building Visualization Using LOD1 Level Lidar and Orthophoto Data (Case Study: Jalan Tambak Mayor Surabaya)

Surabaya is the second largest city in Indonesia after Jakarta, with a population of more than 2.8 million people. As the second largest city after Jakarta, of course Surabaya is classified as a city with a high population and building density. With this high level of building density, it is necessary to carry out good regional planning. Good regional planning is an important tool in creating cities and regions that are sustainable, environmentally friendly and provide a high quality of life for their residents. It also helps in addressing complex urban challenges and ensuring wise use of resources. Currently, various methods and technologies have developed that make it easier for the government to carry out regional planning. One method that can be used is to carry out 3D city modeling. Three-dimensional (3D) modeling is a technique used to create a digital model of an object or environment in three dimensions, using computer software capable of producing 3D images based on the data provided. Three-dimensional modeling for buildings with LOD1 level utilizes data obtained from field surveys, remote sensing and numerical modeling. Through this research, 3D city modeling was carried out using LiDAR data and aerial photography to analyze the condition of buildings in the Jalan Tambak Mayor area. This approach uses a 3D city model as the basis for analysis using ArcGISPro software. In this research, data updating will be conducted, which involves directly capturing aerial photographs in the field, as the existing aerial photograph data is from 2016 and needs to be renewed. Based on the resulting modeling, the results of 3-dimensional building modeling are shown on a map which is classified into 5 classes with a building height range between 0 - 46 meters.
Vehicle-to-grid system optimization for electric vehicle – a review

The transportation industry is a major contributor to global greenhouse gas emissions, and the adoption of electric vehicles (EVs) presents a viable solution to this problem. The implementation of vehicle-to-grid (V2G) systems has significantly enhanced energy supply and utilization efficiency, particularly through the integration of renewable energy sources such as solar and wind. However, the complexity of the V2G system necessitates addressing multiple objectives and constraints. Previous research has employed optimization methods to refine the V2G system. However, traditional linear and quadratic programming approaches are limited to simple and linear objectives, while non-linear programming methods encounter challenges when dealing with uncertain variables. Consequently, there is a pressing need for a more dependable optimization method capable of managing uncertain variables in this intricate system, particularly in the context of renewable energy source integration. This paper reviews the feasible and reliable optimization approaches utilized by scholars and researchers, examining the multiple objective functions and constraints required for optimizing the V2G system.
Fine resolution clustering of TP53 variants into functional classes predicts cancer risks and spectra among germline variant carriers

Li-Fraumeni syndrome (LFS) is a heterogeneous predisposition to a broad spectrum of cancers caused by pathogenic TP53 germline variants. We have used a clustering approach to assign missense variants to functional classes with distinct quantitative and qualitative features based on transcriptional activity in yeast assays. Genotype-phenotype correlations were analyzed using the germline TP53 mutation database (n = 3,446) and validated in three LFS clinical cohorts (n= 821). Carriers of class A variants recapitulated all traits of fully penetrant LFS (median age at first diagnosis = 28 years). Class B carriers showed a less penetrant form (median = 33 years, p < 0.05) dominated by adrenocortical and breast cancers. Class C or D carriers had attenuated phenotypes (median = 41 years, p < 0.001) with typical LFS cancers in C and mostly non-LFS cancers in D. This new classification provides insight into structural/functional features causing pathogenicity.