Miracle-dz/UniFAR-FTUs huggingface dataset:
Understanding the Impact of Lime Stabilization on Expansive Soil for Grounding and Analysis Adopting LIBS

Stabilization of soil for grounding purposes has been performed by adding different wt% of lime. Electrical breakdown measurements under lightning impulse voltage showed a reduction in breakdown voltage and the time to breakdown with increment in the lime content in the soil. These parameters also increased with curing period for all concentrations of lime of stabilized soil samples. The results show that pH and electrical conductivity of the expansive soil increase as the lime content increases, but decrease with increasing the curing period. Mineralogical and micro-structural analysis has been made by means of X-ray diffraction (XRD) studies and by scanning electron microscope (SEM) analysis. The axial strength obtained from unconfined compressive strength (UCS) analysis, the plasma temperature and the electron number density calculated from Laser Induced Breakdown Spectroscopy (LIBS) data tend to increase with increment in lime content as well as the curing period of the lime stabilized soil. Using univariate analysis, the normalized intensity ratio of Ca II peaks from LIBS spectral data are correlated with lime content in the soil samples at various curing periods. The partial least squares regression (PLSR) technique is successful in determining the soil parameters with the help of LIBS spectral data, at different curing periods with an R2 value greater than 0.95 and the percentage RMSE value smaller than 4%.
A Novel Modal Representation of Battery Dynamics

Electrochemical cells are complicated energy storage systems with nonlinear voltage dynamics. There is a need for accurate dynamic modeling of the battery system to predict its behavior over time when discharging. The study conducted in this paper developed an intuitive model for electrochemical cells based on a simple mechanical analogy. A three-degree-of-freedom, spring-mass-damper system was decomposed into modal coordinates that represent the overall discharge, mass transport, and double-layer effect of the electrochemical cell. The developed model was experimentally demonstrated through pulsed discharge tests of commercially available lithium-ion and nickel metal hydride cells. The modal parameters of the natural frequency and damping ratio for each mode were determined by numerically minimizing the error in the time responses. Additionally, the mechanical analog was applied to two datasets developed by the Center for Advanced Life Cycle Engineering (CALCE). The first dataset was used to optimize the modal parameters whereas the second dataset was utilized to validate the tuned parameters. It was found that the modal representation of the mechanical analog could accurately predict the time-response dynamics of all the cells considered. Additionally, by considering the discharge modal coordinate, the open-circuit voltage was determined and validated to that measured experimentally from the voltage relaxation peaks.
Application of Solid Expandable Tubulars in the Petroleum Industry

The development of solid expandable tubular (SET) technology and products (open hole liner, open hole clad, cased hole liner, liner hanger, internal casing patch, etc.) has enabled operators to plan well design in a new way and solve various problems that arise during drilling and exploitation on land and offshore. By including an expandable open hole liner, monobore open hole liner or monobore openhole clad in well design, it is possible to achieve a slim hole design and/or resolve unwanted situations that occur during the drilling of problem zones with minimal hole size reduction and reach hydrocarbon reserves which cannot be achieved economically by conventional technology. By installing an expandable cased hole liner or internal casing patch in production wells to cover the intervals of a corroded casing or to close old perforations, it is possible to extend the life cycle of a production well and increase the final hydrocarbon recovery and speed up the return on investment. The aim of this paper is to systematically review the relevant literature and give an overview of solid expandable tubular technology and its applications in the petroleum industry, as well as the cementing technology of open hole expandable liners. The available data for 21 case studies of SET application in onshore and offshore wells were analyzed in detail. Based on an extensive review of the literature and analyzed data, it can be concluded that SET technology is being successfully applied worldwide and that expandable liners with a diameter of 114.3 mm to 339.72 mm are being run in wells to ever greater depths (up to 5166 m) and in ever more extreme downhole conditions.
The Strategies to Improve Quality Care in Pediatric Angiography

Background and Aim: The development of technology and the increase of intensive care beds strongly demand a professional care team in these areas. In addition, intensive care staff experience severe occupational stressors such as time pressure, low social support, overwork, and spiritual and moral distress. This study aimed to explain the strategies for promoting quality care in pediatric angiography. Materials and Methods: This is a qualitative study conducted with the participation of 20 members of the care unit. Sampling was done until data saturation. Data analysis was performed using qualitative content analysis. Results: By analyzing the data, three reform classes of structural management, human resource management, and human interaction were found. Conclusion: The strategies to improve the management of the Angiography Department are affected by various factors such as structural management, human resource management, and human interaction. To improve the management of this department, managers should pay special attention to the standardization of the department and increase the level of communication skills of the care team.
Reduction method of weapon system-of-systems assessment index system based on autoencoder

As the information degree, complexity and uncertainty of modern war increase, effectiveness assessment for weapon system-of-systems(WSoS) from the sea is more important than ever. Constructing appropriate evaluation index for WSoS is critical to evaluate its effectiveness, affecting the operational effectiveness of a range of indexes, indexes redundant and direct use of these indexes will increase the time-space complexity of effectiveness assessment, multiple and multi-scale indexes for the system were established. In order to reduce the complexity of index, Autoencoder was taken to project these data into low dimensional data non-linearly. The results show that the reduced data can exactly represent the origin data when the original dimension is reconstructed. This will highly reduce the complexity of the next assessment process of WSoS.
Improved implementation of travel time randomization for incorporating Vs uncertainty in seismic ground response

1Department of Civil, Architectural, and Environmental Engineering, University of Texas at Austin, USA 2Department of Statistics and Data Science, University of Texas at Austin, USA 3Department of Civil and Environmental Engineering, Utah State University 4Department of Structural, Geotechnical and Building Engineering, Politecnico di Torino, Italy 5The Charles E. Via, Jr. Department of Civil & Environmental Engineering, Virginia Tech, USA *Corresponding author: mhallla@utexas.edu
7 February Chamoli (Uttarakhand, India) Rock-Ice Avalanche Disaster: Model-Simulated Prevailing Meteorological Conditions

The present study aims to analyze the high-resolution model-simulated meteorological conditions during the Chamoli rock-ice avalanche event, which occurred on 7 February 2021 in the Chamoli district of Uttarakhand, India (30.37° N, 79.73° E). The Weather Research and Forecasting (WRF) model is used to simulate the spatiotemporal distribution of meteorological variables pre- and post-event. The numerical simulations are carried out over two fine resolution nested model domains covering the Uttarakhand region over a period of 2 weeks (2 February to 13 February 2021). The model-simulated meteorological variables, e.g., air temperature, surface temperature, turbulent heat flux, radiative fluxes, heat and momentum transfer coefficients, specific humidity and upper wind patterns, were found to show significant departures from their usual patterns starting from 72 h until a few hours before the rock-ice avalanche event. The average 2 m air and surface temperatures near the avalanche site during the 48 h before the event were found to be much lower than the average temperatures post-event. In-situ observations and the ERA5-Land dataset also confirm these findings. The total turbulent heat flux mostly remained downward (negative) in the 72 h before the event and was found to have an exceptionally large negative value a few hours before the rock-ice avalanche event. The model-simulated rainfall and Global Precipitation Measurement (GPM, IMERG)-derived rainfall suggest that the part of the Himalayan region falling in the simulation domain received a significant amount of rainfall on 4 February, around 48 h prior to the event, while the rest of the days pre- and post-event were mostly dry. The results presented here might be helpful in further studies to identify the possible trigger factors of this event.
ESCALATE MILK PRODUCTION: THE AMAZING ADVANTAGES OF MARMET AND ACUPUNCTURE TECHNIQUES

Mother's milk contains essential components for the growth and development of infants. Limitations of breastfeeding are often caused by the inhibition of production factors which can be minimized by applying traditional marmet and acupuncture techniques. However, information about implementing marmet techniques and acupuncture techniques on breast milk production is still not widely found. This study aims to identify and analyze marmet and acupuncture techniques on breast milk production. The purposive sampling technique was used in determining the research respondents, totaling 60 respondents were divided into two groups. 30 respondents received treatment with marmet and acupuncture techniques for 30 other respondents. The research method used was quasi-experimental with a pretest-posttest design, and the results of data collection were analyzed using the Wilcoxon test. The respondent's informed consent was signed after explaining and agreeing to be involved in the research. The results of statistical tests showed an effect of marmet techniques and acupuncture techniques on significant baby weight before and after the study. It can be concluded that the marmet technique and acupuncture technique were significantly able to encourage milk production, which was indicated by an increase in the baby's weight on the tenth day. It is necessary to increase literacy regarding the benefits of marmet techniques and acupuncture techniques through the use of social media.
Value Creation and Capture From Technology Innovation in the 6G Era

In the sixth generation of mobile communication networks (6G) era, in which the convergence of wireless and Internet technologies will drive the digital economy and automation across industries, the focus of innovation will shift from individual technology or products towards innovation within platforms and ecosystems. This paper provides a comprehensive categorised survey of the 6G business literature and the current state of mobile communication intellectual property value creation across the system architecture layers. The key emerging and enabling technologies of the 6G networks are positioned as applicable to areas of value creation and capture, and an outline of the proposed transformation of technology innovation by considering the 6G system architecture layers is provided. Unlike the existing 6G literature focusing on visions, use cases, KPI requirements, and KVI drivers, this study will extend the discussion to the value-creation-and-capture problem of technology innovators. The role of complementary assets, technology policy, standardisation, and intellectual property in 6G is analysed by profiting from innovation lenses. To gain the full potential and capture value from technology innovation in 6G, it is essential that regulators protect the intellectual property contributions to incentive R&D investments by the developers of open, collaborative enabling technologies. The paper further assesses the business model evolution from the 4G engineering platform to modular 5G and 6G, stemming from ecosystems and open value configurations. The results of the technology value analysis show the emerging 6G business to be an oblique hybrid of vertical and horizontal business models and characterise the future 6G networks as a general-purpose technology.
Adoptions of prefabrication in residential sector in China: agent-based policy option exploration

PurposeThis study aims to evaluate the effectiveness of different prefabricated construction (PC) policies using a case study in Wuhan, considering the local context.Design/methodology/approachThe effectiveness of PC policies is falling behind expectations. The main reason lies in an insufficient understanding of the policy impacts. An agent-based model was built by choosing the residential sector in a typical large city of Wuhan, China, as the study case. Different cost reduction scenarios were introduced for investigating the PC policy effectiveness. The proposed model and simulation approach can be used for other cities and generalized to the whole Chinese PC industry with the potential to include more local policies and corresponding data.FindingsSimulation results show that carbon emission reduction will be between 60,000 and 80,000 tons with policy incentives, nearly double that of the no policy intervention scenario. The target of 30% PC in all new buildings by 2026 in China is achievable with the subsidy policies of linear cost reduction, or cost reduction conforms to the learning curve.Practical implicationsSimulation results of three kinds of policy show that subsidy policy optimization is necessary regarding reducing the level of subsidy needed. The carbon credit policy is not essential since it has little influence on PC development. Implementing the project procurement restriction policy is not recommended if the scale of development of PC is more important than achieving the development target.Originality/valueThis study can help the government and developers make better policy and strategic decisions on PC development and boost the sustainability transition of the construction industry.
Synthesis, Antibacterial and Anthelmintic Activity of Novel 3-(3-Pyridyl)-oxazolidinone-5-methyl Ester Derivatives

In this study, a series of 3-(3-pyridyl)-oxazolidone-5-methyl ester derivatives was synthesized and characterized by 1H NMR, 13C NMR, and LC-MS. The conducted screening antibacterial studies of the new 3-(3-pyridyl)-oxazolidone-5-methyl ester derivatives established that the methyl sulfonic acid esters have broad activity spectrum towards Staphylococcus aureus, Streptococcus pneumoniae, Bacillus subtilis and Staphylococcus epidermidis. Among them, compound 12e has the most potent activity, with an MIC of 16 μg/mL against B.subtilis, and could reduce the instantaneous growth rate of bacteria. Furthermore, molecular docking studies were also simulated for compound 12e to predict the specific binding mode of this compound. In addition, anthelmintic activity of these compounds was also evaluated against adult Indian earthworms (Pheretima posthuman). The results showed that compound 11b had the best effect. These results above can provide experimental reference for the development of novel antibacterial and anthelmintic drugs.
Single-Step GBLUP and GWAS Analyses Suggests Implementation of Unweighted Two Trait Approach for Heat Stress in Swine

Simple Summary A major problem in the swine meat industry is significant weight loss due to pigs overheating. Our approach to solving this problem is breeding swine based on their ability to survive in high temperatures. We determined in this study that genetically there is a difference between the most successful animal in hot conditions and the most successful animal in cooler conditions. This can be applied to selection of breeding animals for swine companies. Additionally, we found a few genes that may be related to this heat resistance, but more studies need to be completed to validate this finding. Abstract The purpose of this study was to perform a genome-wide association study to determine the genomic regions associated with heat stress tolerance in swine. Phenotypic information on carcass weight was available for 227,043 individuals from commercial farms in North Carolina and Missouri, U.S. Individuals were from a commercial cross of a Duroc sire and a dam resulting from a Landrace and Large White cross. Genotypic information was available for 8232 animals with 33,581 SNPs. The pedigree file contained a total of 553,448 animals. A threshold of 78 on the Temperature Humidity Index (THI) was used to signify heat stress. A two-trait analysis was used with the phenotypes heat stress (Trait One) and non-heat stress (Trait Two). Variance components were calculated via AIREML and breeding values were calculated using single step GBLUP (ssGBLUP). The heritability for Traits One and Two were calculated at 0.25 and 0.20, respectively, and the genetic correlation was calculated as 0.63. Validation was calculated for 163 genotyped sires with progeny in the last generation. The benchmark was the GEBV with complete data, and the accuracy was determined as the correlation between the GEBV of the reduced and complete data for the validation sires. Weighted ssGBLUP did not increase the accuracies. Both methods showed a maximum accuracy of 0.32 for Trait One and 0.54 for Trait Two. Manhattan Plots for Trait One, Trait Two, and the difference between the two were created from the results of the two-trait analysis. Windows explaining more than 0.8% of the genetic variance were isolated. Chromosomes 1 and 14 showed peaks in the difference between the two traits. The genetic correlation suggests a different mechanism for Hot Carcass Weight under heat stress. The GWAS results show that both traits are highly polygenic, with only a few genomic regions explaining more than 1% of variance.
Using Machine Learning Techniques to Predict MACE in Very Young Acute Coronary Syndrome Patients

Coronary artery disease is a chronic disease with an increased expression in the elderly. However, different studies have shown an increased incidence in young subjects over the last decades. The prediction of major adverse cardiac events (MACE) in very young patients has a significant impact on medical decision-making following coronary angiography and the selection of treatment. Different approaches have been developed to identify patients at a higher risk of adverse outcomes after their coronary anatomy is known. This is a prognostic study of combined data from patients ≤40 years old undergoing coronary angiography (n = 492). We evaluated whether different machine learning (ML) approaches could predict MACE more effectively than traditional statistical methods using logistic regression (LR). Our most effective model for long-term follow-up (60 ± 27 months) was random forest (RF), obtaining an area under the curve (AUC) = 0.79 (95%CI 0.69–0.88), in contrast with LR, obtaining AUC = 0.66 (95%CI 0.53–0.78, p = 0.021). At 1-year follow-up, the RF test found AUC 0.80 (95%CI 0.71–0.89) vs. LR 0.50 (95%CI 0.33–0.66, p < 0.001). The results of our study support the hypothesis that ML methods can improve both the identification of MACE risk patients and the prediction vs. traditional statistical techniques even in a small sample size. The application of ML techniques to focus the efforts on the detection of MACE in very young patients after coronary angiography could help tailor upfront follow-up strategies in such young patients according to their risk of MACE and to be used for proper assignment of health resources.
Application of Fuzzy Mathematics Theory in Fujian Coal Mine Safety Assessment

The traditional safety assessment method has so many flaws,such as quantification standard formulated by artificial and sentimental controlled easily,and it is very difficult to achieve precise and reliable.The paper introduces the fuzzy mathematics theory to solve the problem,in which the fuzzy mathematics model is set up,the fuzzy set-valued statistics is utilized to establish fuzzy synthesis evaluation relationship matrix and the fuzzy quality synthetic assessment result vector is extracted and analyzed and the safety rate of the coal mine is determined,so it can provide instructions of safety decision-making and preventive measures for coal enterprises and prevent the accidents.
Thermal conductivity and phonon scattering of AlGaN nanofilms by elastic theory and Boltzmann transport equation

Aluminum gallium nitride (AlGaN) plays an essential role in deep ultra-violet light emitting diodes and high electron mobility transistors etc. For example, 2 nm – 5 nm AlGaN nanofilms consist of the quantum wells in ultra-violet light emitting diodes, which have been attracting extensive attention since the rise of COVID 2019. Since most photons and heat are generated in these AlGaN nanofilms, the thermal properties of AlGaN nanofilms are strongly influenced by the heat dissipation of devices. In this paper, utilizing elastic theory and the Boltzmann transport equation, the phonon dispersion relations, density of states, specific heat capacities and thermal conductivities of 2 nm Al δ Ga1−δ N nanofilms with various δ are theoretically calculated at different temperatures. The thermal conductivity of nanofilm is significantly smaller than that of its bulk counterpart. In contrast with bulk AlGaN, due to the dominance of boundary scattering and alloy disorder scattering, the thermal conductivity of Al δ Ga1−δ N exhibits a similar dependence on Al concentration to bulk Al δ Ga1−δ N. Meanwhile, since the screening of Umklapp scattering, the saturation temperature of thermal conductivity is delayed from 50 to 100 K in bulks to about 300 K in nanofilms. The shrinkage of nanofilms’ thermal conductivity is also slower than for bulks. We believe that our work will be helpful in controlling the self-heating effect of devices based on AlGaN nanofilms.
Understanding the Impact of Age-Related Changes in Pediatric GI Solubility by Multivariate Data Analysis

The aim of this study was to understand drug solubilization as a function of age and identify drugs at risk of altered drug solubility in newborns and young infants in comparison to adults. Multivariate statistical analysis was used to understand drug solubilization as a function of drug’s physicochemical properties and the composition of gastrointestinal fluids. The solubility of seven poorly soluble compounds was assessed in adult and age-specific fasted and fed state biorelevant media. Partial least squares regression (PLS-R) was used to assess the influence of (i) drug physicochemical properties and (ii) age-related changes in simulated GI fluids, as well as (iii) their interactions, on the pediatrics-to-adult solubility ratio (Sp/Sa (%)). For five out of seven of the compounds investigated, Sp/Sa (%) values fell outside of the 80–125% limits in at least one of the pediatric media. Lipophilicity was responsible for driving drug solubility differences between adults and children in all the biorelevant media investigated, while drug ionization was most relevant in the fed gastric media, and the fasted/fed intestinal media. The concentration of bile salts and lecithin in the fasted and fed intestinal media was critical in influencing drug solubility, while food composition (i.e., cow’s milk formula vs. soy formula) was a critical parameter in the fed gastric state. Changes in GI fluid composition between younger pediatric patients and adults can significantly alter drug luminal solubility. The use of pediatric biorelevant media can be helpful to identify the risk of altered drug solubilization in younger patients during drug development.