Miracle-dz/UniFAR-FTUs huggingface dataset:
Experimental Records from Blast Tests of Ten Reinforced Concrete Slabs

The design and evaluation of structures subjected to blast loads has increased steadily since the 11 September 2001 terrorist attacks. While shock tube testing has filled some of the data gap by replicating blast waves in a controlled fashion, there is only scant field explosion data that is easily accessible for the structural engineering community for hypothesis testing or model validation. This paper summarizes experimental design, pre-test sensor verification, and data collection from 10 reinforced concrete slabs subjected to field explosions using a modest budget. The experimental record contains pressure, displacement, and acceleration measurements of each slab except in a few cases where the sensors have failed. The data is archived at George Mason Dataverse. Following detailed description of the experimental record for each slab, an example is provided in which the data can be utilized for finite element model verification.
Theoretical development and multi-objective optimisation of a double-tapered rectangular tube with diaphragms

Abstract A double-tapered rectangular tube with diaphragms (DTRTD) for energy absorbance in railway vehicles is proposed. The mean crushing force (MCF) of DTRTD was derived. The code LS-DYNA3D (971) was used to build a finite element model, validated using a quasi-static test. The experiment results and numerical simulation indicate the accuracy of the theoretical prediction for the MCF of DTRTD and the regularity and stability of the collapse pattern of this energy-absorbing structure (EAS). To explore the effects of the thickness of different EAS parts on the crashworthiness indexes and obtain the optimal designs, the design of experiment (DOE) and a surrogate model were employed for a parameter study and multi-objective optimisation (MOO). The specific energy absorption (SEA) and crush force efficiency (CFE) cannot reach the optimal values concurrently. Nonetheless, all designs from the Pareto front of MOO significantly improve the crashworthiness of EAS because of the larger SEA and CFE.
Unsteady Three-Dimensional Free Convection Flow Near the Stagnation Point Over a General Curved Isothermal Surface in a Nanofluid

This study deals with an unsteady three-dimensional free convection flow near the stagnation point region over a general curved isothermal surface placed in a nanofluid. Nanofluids are great scientific interest because these new thermal transport phenomena surpass the fundamental limits of conventional macroscopic theories of suspensions. Since the heat and mass transfer are very extensive in the industry, the unsteady three-dimensional body near stagnation point can give a significant impact on the heat transfer process. The main objective of the present study is to investigate the effects of some governing parameters on the skin friction coefficients, local Nusselt and local sheerwood numbers as well as related profiles of unsteady free convection in a nanofluid. The momentum equations in x- and y-directions, energy balance equation, and nanoparticle concentration equation are reduced to a set of four fully-coupled nonlinear differential equations under appropriate similarity transformations. The well-known technique Keller-box method is used numerically for different values of governing parameters entering these equations. Further, the present results have been compared with the previous published results for a particular case and the comparisons are found to be in good agreement. The skin friction, local Nusselt number and Sherwood number is increases with an increase in curvature parameter. Rising values of the Lewis number and Brownian motion parameter has enhanced the flow while rising values of the buoyancy and thermophoresis parameter will decelerate the flow. The temperature profile is increases when Brownian motion, buoyancy and thermophoresis parameter increases and concentration profile increase with an increases in buoyancy and thermophoresis parameter.
Effect of CO2/N2 Dilution on Characteristics of Liquid Fuel Combustion in Flameless Combustion Mode

ABSTRACT This paper presents the effect of CO2 and N2 dilution in the oxidizer stream on combustion and emission characteristics in a flameless combustor operating with kerosene and biodiesel as a fuel. The thermal input is varied from 30 kW (7.5 MW/m3) – 53 kW (13.3 MW/m3) and inlet air temperature are varied from 300 K to 800 K. CO2/N2 are added to dilute the oxidizer stream in a proportion of 15% of total air volume to reduce the O2 concentration in the air stream. Reacting and non-reacting flow simulations show that the flow field improves significantly as both the flow velocity and temperature distributions become uniform. Distribution of the reactant dilution ratio becomes more uniform and a maximum value of Rdil = 4.89 is achieved for 30 kW conditions. The reduced O2 concentration in the oxidizer results in enhanced dilution of fresh air-fuel mixture thereby enables uniform temperature and flow field. For the air preheating case, CO2 dilution does not affect the velocity and thermal fields significantly. The measured CO emissions are marginally increased due to CO2 dilution; however, NOx emissions are significantly reduced. N2 dilution results in increased levels of NOx, contrary to the perception of the inert role of N2 addition even though the combustor operating temperatures are lower than 1800 K. The measurements of acoustic pressure emissions show a sharp decrease during flameless combustion mode.
Influence of Lead and Applied Singly and in Mixture with Chitosan on Tissue Accumulation of Clarias gariepinus

Clarias gariepinus was exposed to 1 ppm Pb singly and in mixture with 75 ppm chitosan (CT) and the levels of Pb in gill, liver, spleen, kidney and muscle tissues were determined after 1, 7 and 15 days. Lead accumulation increased in gill tissue compared to control when exposed to Pb alone and in mixture on 7th day. A significant decrease, however, was observed in gill level on exposure to Pb+CT mixture on day 15. Exposure to Pb alone increased the level in liver significantly after 15 days compared to control fish. Exposure to Pb alone and to mixture had no effect on kidney accumulation. Pb accumulation increased in spleen tissue compared to control when exposed to Pb alone on 1st and 7th days, it decreased when exposed to Pb+CT mixture at these exposure periods. Muscle Pb accumulation was higher in fish exposed to Pb only as compared to controls and in fish exposed to Pb+CT mixture on 1st day. The studied lead concentrations caused alterations in the metal accumulation especially gill and liver tissues. Chitosan seemed to decrease the harmful effects of Pb on long term exposures.
Níveis de irrigação associados a doses de hidrogel na cultura do pimentão

Objetivou-se, atraves deste trabalho, avaliar o desenvolvimento e producao de plantas de pimentao, cultivar Nathalie, em funcao de niveis de irrigacao e doses de hidrogel. O experimento foi conduzido em um Latossolo Vermelho Amarelo, no Instituto Federal Goiano, em Morrinhos, Goias. O delineamento foi o de blocos ao acaso, com quatro repeticoes, no esquema de parcelas subdivididas 4x5, sendo quatro niveis de irrigacao (reposicao de 50%, 75%, 100% e 125% da evaporacao em tanque classe A- ECA) e cinco doses de hidrogel (0, 125, 250, 375 e 500 mL cova -1 ). O hidrogel foi diluido em agua a 2,5 g L -1 , sendo fornecido na cova de transplantio. Foram avaliados os seguintes parâmetros: altura de planta e diâmetro de caule, aos 90 e 120 dias apos transplantio (DAT); numero de frutos por planta, diâmetro do fruto, pH do fruto, producao de frutos comerciais, aos 100 e 120 DAT; e eficiencia no uso da agua (EUA). O excesso de irrigacao, em nivel maior ou igual a 100% da ECA, ocasionou reducao do numero de frutos comerciais, da producao de frutos por planta, do diâmetro e pH do fruto. A adicao de hidrogel no solo nao propicia aumento significativo na producao e qualidade dos frutos. A irrigacao a 75% da ECA propiciou melhor EUA, sendo produzidos 3,93 kg de frutos por m 3 de agua.
Further improvement of wet process treatments in GEOS-Chem v12.6.0: impact on global distributions of aerosols and aerosol precursors

Abstract. Wet processes, including aqueous-phase chemistry, wet scavenging, and wet surface uptake during dry deposition, are important for global modeling of aerosols and aerosol precursors. In this study, we improve the treatments of these wet processes in the Goddard Earth Observing System with chemistry (GEOS-Chem) v12.6. 0, including pH calculations for cloud, rain, and wet surfaces, the fraction of cloud available for aqueous-phase chemistry, rainout efficiencies for various types of clouds, empirical washout by rain and snow, and wet surface uptake during dry deposition. We compare simulated surface mass concentrations of aerosols and aerosol precursors with surface monitoring networks over the United States, European, Asian, and Arctic regions, and show that model results with updated wet processes agree better with measurements for most species. With the implementation of these updates, normalized mean biases (NMBs) of surface nitric acid, nitrate, and ammonium are reduced from 78 %, 126 %, and 45 % to 0.9 %, 15 %, and 4.1 % over the US sites, from 107 %, 127 %, and 90 % to −0.7 %, 4.2 %, and 16 % over European sites, and from 121 %, 269 %, and 167 % to −21 %, 37 %, and 86 % over Asian remote region sites. Comparison with surface measured SO2 , sulfate, and black carbon at four Arctic sites indicated that those species simulated with the updated wet processes match well with observations except for a large underestimate of black carbon at one of the sites. We also compare our model simulation with aircraft measurement of nitric acid and aerosols during the Atmospheric Tomography Mission (ATom)-1 and ATom-2 periods and found a significant improvement of modeling skill of nitric acid, sulfate, and ammonium in the Northern Hemisphere during wintertime. The NMBs of these species are reduced from 163 %, 78 %, and 217 % to −13 %, −1 %, and 10 %, respectively. The investigation of impacts of updated wet process treatments on surface mass concentrations indicated that the updated wet processes have strong impacts on the global means of nitric acid, sulfate, nitrate, and ammonium and relative small impacts on the global means of sulfur dioxide, dust, sea salt, black carbon, and organic carbon.
Cancer patient management during the COVID-19 pandemic Training module. Version 2 from 30.04.2020

The training module was developed by the staff of the department under the leadership of the head. Department of Academician of RAS, Professor I.V. Poddubnoy and Rector of FSBEI DPO RMANPO of the Ministry of Health of Russia, Corr. RAS, Professor D.A. Sychev.
Collision Avoidance Method Using Vector-Based Mobility Model in TDMA-Based Vehicular Ad Hoc Networks

The rapid development of wireless technology has accelerated the development of Vehicular Ad Hoc Networks (VANETs) to support accident prevention and the safety of a vehicle driver. VANET is a form of Mobile Ad Hoc Network (MANET), and it differs from MANET in that the network topology of a VANET changes dynamically in response to the high mobility of a vehicle and the unstable link quality due to various types of road patterns. Since most access and merging conflicts occur due to vehicle movement patterns and traffic conditions, the collision rate can be reduced if each vehicle can predict the location, movement direction, and resource occupancy information of other vehicles. In this paper, we propose a collision avoidance method based on the vehicle mobility prediction model in TDMA-based VANET. The proposed algorithm allocates time-slots of TDMA to avoid access and merging collisions by predicting the mobility of nearby vehicles using control time-slot occupancy information, vehicle ID, hop information, vehicle movement direction, and longitude and latitude of a vehicle. Simulation results show that the proposed algorithm can reduce access and merging collision rates compared with other legacy algorithms, and the performance gain of the proposed algorithm is enhanced in road environments when traffic density is high and where vehicles have high mobility and change their travel directions frequently.
Radar based deep learning technology for loudspeaker faults detection and classification

Recently, radar based micro-Doppler signature analysis has been successfully applied in various sectors including both defence and civilian applications. A joint radar micro-Doppler and deep learning technology for End-Of-Line (EOL) test of loudspeakers is proposed in this paper. This approach offers the potential benefits of characterizing the mechanical motion of a loudspeaker in a noisy environment as a production line, in order to automatically identify and classify defects. Starting from real radar signal, the proposed Bidirectional Long Short-Term Memory (BiLSTM) classifier has been tested on training, validation and test dataset. The results show that the proposed approach produces a probability of correct classification above the 98%, outperforming the traditional $k$-NN classifier.
A UK survey of the use and management of cover crops

School of Water, Energy and Environment, Cranfield University, Cranfield, UK Correspondence Tom Storr, School of Water, Energy and Environment, Cranfield University, Cranfield MK43 0AL, UK. Email: tom.storr@cranfield.ac. uk Funding information Cranfield University; G's Growers Ltd There is a growing trend in the use of cover crops in the United Kingdom, and whilst research shows there are many soil and environmental benefits, little is known about the farmer's perspective of cover cropping. A survey was designed and distributed to ask farmers about their use and management of cover crops. The online survey received 117 usable responses between January and March 2017, following distribution through social media in the United Kingdom. The survey highlighted that 66% of respondents used cover crops following harvest in 2016. Respondents observed benefits to soil structure, soil erosion control and water infiltration in addition to reductions in the use of chemical fertilisers, herbicide and fuel use. Of those not using cover crops, 90% would consider their use in the future if additional information on their use and benefits were known in a UK context. Changes to the 2016 Basic Payment Scheme guidelines for cover crops would have been welcomed by 71% of respondents using cover crops.
Local Investors' Preferences and Capital Structure

We provide evidence that publicly listed firms respond to capital supply conditions shaped by local investing preferences. The local supply of credit is higher and more stable in areas where demographics suggest that local investors prefer safer portfolios. We find that firms headquartered in these areas use more debt financing. The demographics-leverage relation is more pronounced for non-investment-grade and unrated firms that cannot easily tap public markets (about two-thirds of U.S. public companies). Analyses of firms’ financing activities around exogenous shocks to credit supplies - including interstate banking deregulation and the 2008-2009 financial crisis - support the capital supply effect. As demographics change slowly, local investors’ preferences may contribute to the heterogeneity and persistence of public firms’ capital structures.
Differences in Simulated EMG Activities between a Non-Rotational Shot and an Ordinary Instep Kick Identified by Principal Component Analysis

The aim of this study was to clarify the major differences in the electromyographic (EMG) activities in the hip joint required to achieve a non-rotational (NR) shot as compared with an instep kick from the spatiotemporal data. For this purpose, simulated EMG activities obtained from NR shots and instep kicks were analyzed using principal component analysis (PCA). The PCA was conducted using an input matrix constructed from the time-normalized average and the standard deviation of the EMG activities (101 data x (15 muscles; iliacus, gluteus maximus, rectus femoris, biceos femoris, vastus lateralis, vastus medialis, vastus intermedius, semimembranosus, semitendinosus, sartorius, tensor fasciae latae muscle, adductor magnus muscle, adductor longus muscle, gasctrocnemius, and tibialis anterior)). The PCA revealed that the 3rd, 4th and 8th principal component vectors (PCVs) of the 10 generated PCVs were related to achieving the NR shot (p < 0.05).
Supersonic Separators For Natural Gas Processing: Real Gas Effects

The ideal gas law and Redlich-Kwong real gas model were used to analyze the gas dynamics parameters of natural gas flows in the supersonic separators with the standard k-e model. The effects of inlet pressures on the natural gas characteristics were computational simulated with ideal gas and Redlich-Kwong equation of states. The results show that the ideal gas and Peng-Robinson models predict the same gas parameters in the subsonic zone, while the ideal gas result diverges from the Redlich-Kwong case in supersonic zones.
Online robust parameter design considering observable noise factors

Variation is the root cause of product quality problems. Variations caused by noise factors often affect the quality of the product during manufacturing, resulting in products that fail to meet customer requirements. In this article, a Bayesian online robust parameter design method is proposed to address the parameter design problem with observable noise factors. The proposed method not only takes into account the online observations of noise factors through using a time-series model, but also adjusts the optimal settings of the control factors in real time to reduce the impact of the variations from noise factors on product quality by using a response surface model and an expected loss function. The advantages of the proposed method are illustrated by a numerical example and a case study. The results show that the proposed method can give more reasonable results than the existing methods.
Preparation and Characterization of Topical Letrozole Nanoemulsion for Breast Cancer

Letrozole (LZL) is a non-steroidal competitive aromatase enzyme system inhibitor. The aim of this study is to improve the permeation of LZL through the skin by preparing as nanoemulsion using various numbers of oils, surfactants and co-surfactant with deionized water. Based on solubility studies, mixtures of oleic acid oil and tween 80/ transcutol p as surfactant/co-surfactant (Smix) in different percentages were used to prepare nanoemulsions (NS). Therefore, 9 formulae of (o/w) LZL NS were formulated, then pseudo-ternary phase diagram was used as a useful tool to evaluate the NS domain at Smix ratios: 1:1, 2:1 and 3:1.
Evaluasi Penerimaan Modul Kepegawaian SIESTA Menggunakan Model UTAUT2

Kesuksesan implementasi teknologi informasi (TI) sebagian besar ditentukan oleh tingkat penerimaan dari masing-masing individu user. Oleh karena itu, diperlukan pemahaman dan prediksi untuk meningkatkan penerimaan pengguna dengan cara mengubah sifat sistem dan proses implementasi yang digunakan. Hal tersebut juga berlaku pada Sistem Informasi Enterprise Soetomo untuk Transaparansi dan Akuntabilitas (SIESTA) yang dikembangkan oleh RSUD Dr. Soetomo yang hingga saat ini belum pernah diukur tingkat penerimaan dari sistem tersebut. Penelitian ini bertujuan untuk mengetahui faktor-faktor yang berpengaruh terhadap penerimaan modul Kepegawaian SIESTA menggunakan model UTAUT2 sehingga hasil penelitian dapat digunakan oleh pihak RSUD Dr. Soetomo Surabaya dalam implementasi modul SIESTA lainnya. Metode sampling yang diambil adalah dengan metode disproportionate stratified random sampling menggunakan error tolerance 5% dan diperoleh total sampel sebesar 359 responden. Adapun analisis data menggunakan Structural Equation Modeling - Partial Least Square (SEM-PLS). Hasil uji hipotesis menyatakan bahwa variabel social influence dan price value berpengaruh signifikan terhadap variabel dependen behavioral intention. Sementara use behavior dipengaruhi oleh variabel facilitating conditions dan habit secara signifikan. Hal tersebut didukung oleh nilai path coefficient yang menunjukkan bahwa behavioral intention secara positif dipengaruhi oleh social influence dan price value dengan nilai 0.321 dan 0.350. Sedangkan use behavior dipengaruhi oleh facilitating conditions dan habit sebesar 0.261 dan 0.563. Berdasarkan hasil uji hipotesis nilai T Statistics ketiga variabel moderasi age, gender, dan experience tidak ada yang memenuhi standar signifikansi. Hal ini berarti usia, jenis kelamin, dan lama bekerja tidak berpengaruh terhadap faktor penerimaan modul Kepegawaian SIESTA.
IN SILICO STUDIES OF SOPHORAFLAVANONE G: QUANTUM CHARACTERIZATION AND ADMET

Currently, the search for new drugs with greater therapeutic potential and less side effects has been fostered by the advancement of the use of molecular modeling drugs, which in addition to supporting the full characterization of the molecule, allow simple algorithms to predict pharmacokinetic. In this context the present work aimed to perform the electronic / structural characterization, to evaluate the pharmacokinetic properties and to perform a virtual screening of the possible biological targets of Sophoraflavonone G, a promising flavonone, which presents several pharmacological properties. Sophoraflavanone G was geometrically optimized by semi-empirical quantum calculations, plot the MESP, identifying the nucleophilic sites. Using the boundary orbitals, it was possible to identify a greater tendency for electron donation in relation to Naringeni, with lower ionization potential, higher hardness and less softness. With respect to pharmacokinetics Sophoraflavonone G confirmed the safety of the compound for oral administration with good skin permeability, which allows applications in topical formulations. Presents indications for gastro intestinal absorption, as for possible interactions with biological targets, interaction with the estrogen receptor alpha, sodium / glucose co-transporter 2, beta-secretase 1, cyclooxygenase-1.The data obtained from an early stage for a comparative analysis between its analogues and fundamental for future studies of relationships between the three-dimensional structure of Sophoraflavanone G and its biological activities.
Romantic Relationship Quality and Suicidal Ideation in Young Adulthood

Sociological research on suicidal ideation has often focused on structural factors, such as marital status, when analyzing the protective effects of social integration; however, less is known about how the quality of romantic relationships shapes suicidality among young adults. This study uses the National Longitudinal Study of Adolescent to Adult Health to examine the association between romantic relationship quality and suicidal ideation in young adulthood. Results indicate that simply being in a romantic relationship is unrelated to suicidal ideation. In fact, odds of reporting suicidal ideation are comparable for respondents who are married or cohabiting and respondents who are single or dating. Findings show that respondents who report greater romantic relationship quality in any romantic relation type are less likely to report suicidal ideation. This study contributes to previous research in the sociology of mental health by extending our understanding of the protective role of relationship quality.