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This paper reports the results of soft computing-based models correlating L and N-type Schmidt hammer rebound numbers of rock. A data-independent database was compiled from available measurements reported in the literature, which was used to train and develop back propagating neural networks, genetic programming and least square method models for the prediction of L-type Schmidt hammer rebound numbers. The results show that the highest predictive accuracy was obtained for the neural network model, which predicts the L type Schmidt hammer rebound number, with less than ±20% deviation from the experimental data for 97.27% of the samples. The optimum neural network is presented as a closed form equation and is also incorporated into an Excel-based graphical user interface, which direct... |
Clinical training for new graduate nurses has a positive impact on their clinical competence; however, there is limited evidence on the impact of this training at the organizational level and on the processes that mediate these impacts. |
We explore strain-modulated helimagnetism in highly crystalline MnP nanorod films grown on Si(100) substrates using molecular beam epitaxy. The strained MnP film exhibits a paramagnetic to ferromagnetic (FM) phase transition at
T
C
∼
279
K
, and the FM to helical phase transition at
T
N
∼
110
K
. The value of
T
N
is greater than
T
N
∼
47
K
for the MnP single crystal, indicating strong strain-modulated helimagnetic states in the MnP nanorod film. The presence of significant thermal hysteresis in the helical phase indicates the coexistence of competing magnetic interactions, leading to the first-order metamagnetic transition. Similar to its single-crystal counterpart, an anisotropic magnetic effect is observed in the MnP film, which is independently confirme... |
We study a generalized version of the load balancing problem on unrelated machines with cost constraints: Given a set of m machines (of certain types) and a set of n jobs, each job j processed on machine i requires time units and incurs a cost , and the goal is to find a schedule of jobs to machines, which is defined as an ordered partition of n jobs into m disjoint subsets, in such a way that some objective function of the vector of the completion times of the machines is optimized, subject to the constraint that the total costs by the schedule must be within a given budget B. Motivated by recent results from the literature, our focus is on the case when the number of machine types is a fixed constant and we develop a bi-criteria approximation scheme for the studied problem. Our r... |
Buried pipes suffer from various natural and human-related phenomena leading to the bending forces on such structures. The analytical models face obstacles such as the complications in modeling material behavior and the local stress concentration due to the appearance of defects are combined. This causes the accumulative over and under-estimation of pipe capacity due to the idealizations of full plastic stress distribution and location of defects at the most dangerous area, respectively. Consequently, such models are not appropriate in the case that defects are not located on the bending plane. The Finite Element, FE, approach is used to overcome these difficulties with the appearance of defects is randomly propagated around the pipe. Additionally, the bilinear material model is als... |
In this study, we have developed, for the first time, a colorimetric and surface-enhanced Raman scattering (SERS) dual-mode sensing platform for sensitive amoxicillin (AMX) detection by employing electrochemically-synthesized copper nanoparticles (CuNPs) and copper-graphene oxide (Cu-GO) nanocomposites with low cost and high purity. The obtained results revealed that Cu-GO-based colorimetric nanosensor exhibited high sensitivity with AMX antibiotics in a linear working range from 5 to 50 µM with a limit of detection (LOD) of 1.71 µM, which was 1.3 times lower than that of CuNPs-based colorimetric nanosensor (2.17 µM). More interestingly, Cu-GO-based SERS nanosensor has a linear range from 0.01 to 1000 µM and a LOD value ∼x223C 0.0012 µM, which was ∼x223C 13 times lower than CuNPs-ba... |
This method article presents the nuts and bolts of an AI-enabled approach to extracting and analyzing social media data. The method is based on our previous rapidly cited COVID-19 research publication, working on a dataset of more than 14,000 news articles from Vietnamese newspapers, to provide a comprehensive picture of how Vietnam has been responding to this unprecedented pandemic. This same method is behind our IUCN-supported research regarding the social aspects of environmental protection missions, now appearing in print in Wiley’s Corporate Social Responsibility and Environmental Management. Homemade AI-enabled software was the backbone of the study. The software has provided a fast and automatic approach in collecting and analyzing social data. Moreover, the tool also allows ... |
Although the government has made an effort to encourage reading, a Vietnamese person only reads four books per year on average. As low reading culture might hinder Vietnam’s pursuit of a knowledge-driven economy, this paper examines the relationship of students’ reading attitudes with gender, reading promotion activities, parents’ involvement. A dataset of 4966 secondary students in Northern Vietnam was used. The Bayesian method was employed to analyze the relationship between students’ reading attitudes and the following factors: their gender, reading promotion activities, parents’ involvement. The findings suggest that female students show more interest in reading than male students. Shared reading between parents and children positively correlates with students’ reading attitudes... |
By reviewing regulative documents and extant literature, this paper explores the realities and trends of international students in East and Southeast Asia (ESA). It also shows motivation and strategies of four new players in the international higher education sector in East and Southeast Asia i.e., China, Hong Kong, Taiwan and Malaysia. Apart from showing that intraregional students have not predominated the overall international student population in the region anymore, the paper highlights that ESA region has become an established hub of international students rather than a new emerging destination as it was in previous years. The overall net flow of international students in this region was still deficit prior to 2010s, but the deficit in 2017 is still less than that of 2010’s. T... |
