Miracle-dz/UniFAR-FTUs huggingface dataset:
Effect of Swirl on Thermal and Hydraulic Properties of Ice Slurry Flow

Abstract Accumulation of ice particles inside the pipes of an ice slurry refrigeration system is a problem that should be avoided to ensure the efficient performance of the system. In the present research, the swirling flow of ice slurry is numerically investigated using the Eulerian-Eulerian model coupled with the kinetic theory of granular flow. The swirling flow is generated by twisted tapes inserted into a smooth pipe. The results show that by swirling the flow, the ice particle diameter may be increased up to about three times larger than the typical particle diameter used in the ice slurry, without particle accumulation. Moreover, for the swirling flow of ice slurry with the ice particle diameter of 0.3 mm, the rate of mass transfer increases 25% while the ice volume fraction at the pipe outlet decreases 30%, compared to the non-swirling flow. Based on the obtained results of swirling flow, correlations for friction factor, mean Nusselt number, and performance parameter are proposed.
Nonlinear Analysis of Progressive Collapse of Reinforced Concrete (RC) Building by Different Kinds of Column Removal

Building collapse mostly can be caused by the loss of loading capacity in a primary structural component, resulting in the failure of surrounding elements, which in turn cause a failure propagation. Progressive collapses may be accidental, due to design deficiencies or errors, material failure or natural phenomenon (e.g. earthquakes) but it can be prevented by upgrade the concrete components’ material [1][2]. Well-engineered RC buildings generally have a good performance under normal loading conditions. However, faulty design, construction errors, material deterioration, and overloading are always occurred. When part of structure fails, the total load in the whole system will not disappear, which means the load will be redistributed unevenly to the adjacent part of structure. This phenomenon revealed that sustained high stresses in RC elements can lead to catastrophic collapse. Due to very few of papers did the research on the RC elements under high stress level sustained load, relevant experiments should be performed in this area. This paper gives the suggestions about how to apply the load in an experiment if researchers want to know the behavior of elements near to collapse especially focus on RC columns.
Underwater Hyperspectral Target Detection with Band Selection

Compared to multi-spectral imagery, hyperspectral imagery has very high spectral resolution with abundant spectral information. In underwater target detection, hyperspectral technology can be advantageous in the sense of a poor underwater imaging environment, complex background, or protective mechanism of aquatic organisms. Due to high data redundancy, slow imaging speed, and long processing of hyperspectral imagery, a direct use of hyperspectral images in detecting targets cannot meet the needs of rapid detection of underwater targets. To resolve this issue, a fast, hyperspectral underwater target detection approach using band selection (BS) is proposed. It first develops a constrained-target optimal index factor (OIF) band selection (CTOIFBS) to select a band subset with spectral wavelengths specifically responding to the targets of interest. Then, an underwater spectral imaging system integrated with the best-selected band subset is constructed for underwater target image acquisition. Finally, a constrained energy minimization (CEM) target detection algorithm is used to detect the desired underwater targets. Experimental results demonstrate that the band subset selected by CTOIFBS is more effective in detecting underwater targets compared to the other three existing BS methods, uniform band selection (UBS), minimum variance band priority (MinV-BP), and minimum variance band priority with OIF (MinV-BP-OIF). In addition, the results also show that the acquisition and detection speed of the designed underwater spectral acquisition system using CTOIFBS can be significantly improved over the original underwater hyperspectral image system without BS.
Addressing unsolved educational problems about linguistically diverse children: perspectives of early childhood educators in South Korea

ABSTRACT Despite efforts to adopt inclusive education practices and foster cultural competence in classrooms across the globe, adequate training and shifts in teachers’ mindsets frequently seem to lag behind. Studies continue to find that teachers in a variety of contexts hold negative views of culturally and linguistically diverse (CLD) families. Individual teachers’ attitudes and perspectives may take on more primacy in schools where CLD populations are relatively low and thus targeted interventions and policies to support multicultural and multilingual learners are not in place. This study applied culturally and linguistically responsive teaching frameworks to explore perceptions about CLD students among mainstream early childhood educators—an under-researched group that plays a pivotal role in children’s language and identity development—in the rapidly diversifying country, South Korea. Our qualitative analysis of interviews with nine teachers revealed a tendency toward monolingual, Korean-centered ideology and deficit-oriented views that pathologized multilingualism with some exceptions where few teachers showed openness to languages other than Korean. These findings have implications for teacher training programs and highlight some of the challenges to realizing genuinely inclusive education for CLD children in South Korea.
Proof of the density tapering concept of an unequally spaced array by electric field distributions of electromagnetic simulations

ABSTRACT The design method of an unequally spaced array was based on the density tapering in the textbook “Antenna theory” in 1969. The effects on grating lobe reductions were shown by radiation pattern calculations. However, no proof for the achievement of density tapering was shown. In this paper, through direct comparisons of the objective amplitude distribution with electric field distributions by electromagnetic simulation, density tapering is examined. A log-periodic dipole antenna operating from 900MHz to 2500MHz is designed for the array element. The unequally spaced 31-element array antenna is used for calculation. At many kinds of density tapering and many frequencies, calculated electric field distributions in a near-field region of the array antenna agree with the given density tapering distributions. The paper results show that the density tapering is achieved from 900MHz to 2000MHz and the effects of grating lobe reductions are ensured from 900MHz to 2500MHz.
A study on relative importance of additive, epistasis and unmapped QTL for Aluminium tolerance at seedling stage in soybean

With 3 figures and 6 tables Abstract The relative importance of quantitative trait locus (QTL) types controlling aluminium (Al) tolerance in a recombinant inbred line population of soybean was assessed under greenhouse sand culture in 2 years. Three growth-related indicators for Al-tolerance, namely relative total plant dry weight (RTDW), relative shoot dry weight (RSDW) and relative root dry weight (RRDW) were analysed for genetic architecture. RTDW showed relatively higher correlations and shared marker regions with RSDW and RRDW. Four additive QTL, four epistatic QTL pairs and collective unmapped QTL were identified for RTDW, with respective contributions of 22.30%, 14.86% and 40.64%, in a total genetic contribution of 77.80% to phenotypic variation, while QTL × Environment contribution was relatively negligible. Similar results were found for RSDW and RRDW. Altogether, seven additive QTL, eleven epistatic QTL pairs and collective unmapped QTL were involved with Al-tolerance. Among them, one major QTL linked to marker region GMKF046-Sat_128 on B1 was shared by the three traits. The results imply that the three QTL types are all relevant and should be comprehensively utilized for the improvement of Al-tolerance in soybean.
Graphene Synthesis by Inductively Heated Copper Foils: Reactor Design and Operation

We report on the design of a reactor to grow graphene via inductively heating of copper foils by radio frequency (RF) magnetic fields. A nearly uniform magnetic field induced by Helmholtz-like coils penetrates the copper foil generating eddy currents. While the frequency of the current is being rapidly varied, the substrate temperature increases from room temperature to ~1050 °C in 60 s. This temperature is maintained under Ar/H2 flow to reduce the copper, and under Ar/H2/CH4 to nucleate and grow the graphene over the entire copper foil. After the power cut-off, the temperature decreases rapidly to room temperature, stopping graphene secondary nucleation. Good quality graphene was obtained and transferred onto silicon, and coated with a 300 nm layer of SiO2 by chemical etching of the copper foil. After synthesis, samples were characterized by Raman spectroscopy. The design of the coils and the total power requirements for the graphene induction heating system were first estimated. Then, the effect of the process parameters on the temperature distribution in the copper foil was performed by solving the transient and steady-state coupled electromagnetic and thermal problem in the 2D domain. The quantitative effects of these process parameters were investigated, and the optimization analysis results are reported providing a root toward a scalable process for large-sized graphene.
A Disaggregated Packet Processing Architecture for Network Function Virtualization

Network Function Virtualization (NFV) promises to reduce the capital and operational expenditure for network operators by moving packet processing from purpose-built hardware to software running on commodity servers. However, the state-of-the-art in NFV is merely replacing monolithic hardware with monolithic Virtual Network Functions (VNFs), <italic>i.e.</italic>, software that realizes different network functions. This is a good first step towards transitioning to NFV, however, common functionality is repeatedly implemented in monolithic VNFs. Repeated execution of such redundant functionality is particularly common when VNFs are chained to realize Service Function Chains (SFCs) and results in wasted infrastructure resources. This stresses the need for re-architecting the NFV ecosystem, through modular VNF design and flexible service composition. From this perspective, we propose MicroNF (<inline-formula> <tex-math notation="LaTeX">$\mu $ </tex-math></inline-formula>NF in short), a disaggregated packet processing architecture facilitating the deployment of VNFs and SFCs using reusable, loosely-coupled, and independently deployable components. We have implemented the proposed system, including the different architecture components and optimizations for improving packet processing throughput and latency. Extensive experiments on a testbed demonstrate that: (i) compared to monolithic VNF based SFCs, those composed of <inline-formula> <tex-math notation="LaTeX">$\mu $ </tex-math></inline-formula>NFs achieve the same packet processing throughput while using less CPU cycles per packet on average; and (ii) <inline-formula> <tex-math notation="LaTeX">$\mu $ </tex-math></inline-formula>NF-based SFCs can sustain the same packet processing throughput as those based on state-of-the-art run-to-completion VNF architecture while using lesser number of CPU cores.
Structural Modeling and Biochemical Characterization of Flavonoid O-Methyltransferase from Rice

Natural products from plants are diverse, and might be used as novel starting materials for pharmatheutical or neutrotheutical purposes. Plant phenylpropanoids, such as lignins, flavonoids, and anthocyanins, are a group containing abundant natural compounds that exert diverse biological effects on humans, as well as plants. 1 Phenylpropanoids derived from the amino acid phenylalanine by phenylalanine ammonia lyase (PAL) are synthesized via the phenylpropanoid pathway. 2
Utilization profile of enoxaparin in hospitalized patients with Chronic Kidney Disease in southern Brazil

Chronic Kidney Disease (CKD) patients usually require the use of anticoagulants for treatment or prevention of thromboembolic diseases. One such commonly used anticoagulant is enoxaparin. However, special attention is advised when using this drug for CKD patients because dosage adjustments may be needed. This prospective observational study was conducted in adult patients (> 18 years) with CKD stages 3 to 5 who were followed-up daily via prescriptions, medical records and laboratory tests. Enoxaparin doses, renal function and adverse drug events (ADEs) were thus monitored. Of the 87 ADEs identified in this study, 56 (64.3%) occurred in patients requiring enoxaparin prescription adjustment. Out of the 9 patients who had severe ADEs, 8 (88.9%) needed enoxaparin prescription adjustment. The results of this study suggest an overall increased risk of major bleeding and ADEs in patients requiring enoxaparin prescription adjustment. Further investigation of alternative dosing regimens in patients with CKD to maintain efficacy while reducing risks is imperative, as are studies on the utility of monitoring anti-factor Xa activity to guide dosing of enoxaparin. In addition, the role of clinical pharmacists in the management of CKD patients is crucial, as dose adjustments are often necessary.
A Generalized Framework for Domain Adaptation of PLDA in Speaker Recognition

This paper proposes a generalized framework for domain adaptation of Probabilistic Linear Discriminant Analysis (PLDA) in speaker recognition. It not only includes several existing supervised and unsupervised domain adaptation methods but also makes possible more flexible usage of available data in different domains. In particular, we introduce here the two new techniques described below. (1) Correlation-alignment-based interpolation and (2) covariance regularization. The proposed correlation-alignment-based-interpolation method decreases minCprimary up to 30.5% as compared with that from an out-of-domain PLDA model before adaptation, and minCprimary is also 5.5% lower than with a conventional linear interpolation method with optimal interpolation weights. Further, the proposed regularization technique ensures robustness in interpolations w.r. t. varying interpolation weights, which in practice is essential.
E-commerce evaluation text classification algorithm

Based on the research results of the false evaluation and identification of e-commerce shopping, this paper analyzes the characteristics of the evaluation content of the merchant’s brush list. In order to solve the problem that the convolutional neural network (CNN) model is difficult to capture the feature information of the whole evaluation text in the false evaluation identification task, a convolutional belief network (CBN) model based on keyword weighting is proposed. Firstly, the TF-IDF algorithm is used to construct the keyword set, then the word vector is weighted by the keyword vector. Then use restricted boltzmann machine instead of the pooling layer of CNN model to reduce the dimension; finally, the weighted word vector is classified by this algorithm model to complete the recognition task of false evaluation text.
Learning from the past: Searching for novel TRIM, CypA, and TRIMCyp antiviral factors in primates

Learning from the past: Searching for novel TRIM, CypA, and TRIMCyp antiviral factors in primates Raymond Malfavon-Borja Chair of the Supervisory Committee: Affiliate Assistant Professor Harmit S. Malik Department of Genome Sciences The evolutionary history and genetic composition of mammals has been strongly influenced by viruses. This is reflected by evolved mechanisms of host defense mediated by restriction factors that are in an arms race to win over recurrent viral pressure. Restriction factors demonstrate genetic innovation, observed in forms such as positive selection and recurrent births of novel antiviral genes, that serves as a beacon to signify and study this arms race. In this dissertation, I explore these signals of genetic innovation to identify new restriction factors and extrapolate from them insights into the history of host-virus interactions. I first describe an ancient antiviral TRIM5-CyclophilinA gene fusion, termed TRIMCypA3, which likely protected primate ancestors 43 million years ago, but has since decayed. I then present an analysis of the primate TRIM multigene family and highlight members displaying signatures of positive selection, which represent novel restriction factor candidates. Amongst these, I focus on TRIM52 that demonstrates a unique genetic innovation in the RING domain, suggesting a novel recognition domain. Finally, I present an additional analysis of primate genomes designed to catalogue CypA retrogenes and explore their evolutionary history, given that a pilot exploration of CypA retrogenes led to the discovery of TRIMCypA3. A systematic examination has highlighted several other retrogene copies with diverse evolutionary histories suggesting both preservation and innovation. The genetic innovation explored in this dissertation has highlighted several restriction factor candidates amongst the TRIM gene family and numerous CypA retrogenes encoded within primate genomes that has set a foundation to discover novel antiviral genes.
Determining the Impact of a School-Based Health Education Package for Prevention of Intestinal Worm Infections in the Philippines: Protocol for a Cluster Randomized Intervention Trial

Background Repeated mass drug administration (MDA) of antihelminthics to at-risk populations is still the main strategy for the control of soil-transmitted helminth (STH) infections. However, MDA, as a stand-alone intervention, does not prevent reinfection. Accordingly, complementary measures to prevent STH reinfection, such as health education and improved sanitation, as part of an integrated control approach, are required to augment the effectiveness of MDA for optimal efficiency and sustainability. Objective The aim of this study is to determine the impact and generalizability of a school-based health education package entitled The Magic Glasses for STH prevention in the Philippines. Methods We conducted a cluster randomized controlled intervention trial, involving 2020 schoolchildren aged 9-10 years, in 40 schools in Laguna Province, Philippines, to evaluate the impact of the school-based health education package for the prevention of STHs. The trial was conducted over the course of 1 year (June 2016 to July 2017). A total of 20 schools were randomly assigned to the intervention arm, in which The Magic Glasses Philippines health education package was delivered with the standard health education activities endorsed by the Philippines Department of Health (DOH) and the Department of Education (DepEd). The other 20 schools comprised the control arm of the study, where the DOH/DepEd’s standard health education activities were done. At baseline, parasitological assessments and a knowledge, attitude, and practice survey were carried out in all schools. In addition, height, weight, and hemoglobin levels were obtained from each child (after parental consent), and their school attendance and academic performance in English and mathematics were accessed from the school records. The baseline and 2 follow-up surveys were completed using the same study measurements and quality-control assessments. Results Key results from this cluster randomized intervention trial will shed light on the impact that The Magic Glasses health education package will have against STH infections in schoolchildren in the province of Laguna, located on the Island of Luzon, in the Calabarzon Region of the Philippines. Conclusions The results of the trial will be used to assess the generalizability of the impact of The Magic Glasses health education package in different epidemiological and cultural settings, providing evidence for translation of this health education package into public health policy and practice in the Asian region and beyond. Trial Registration Australian New Zealand Clinical Trials Registry number ACTRN12616000508471; https://www.anzctr. org.au/Trial/Registration/TrialReview.aspx? id=368849 International Registered Report Identifier (IRRID) DERR1-10.2196/18419
Evaluation of fermented cassava tuber wastes in broiler chickens feeding

SUMMARY Two cassava tuber wastes (CTW): cassava peels and cassava starch residues were enriched through solid substrate fermentation using Lactobacillus delbrueckii, Lactobacillus coryneformis and Aspergillus fumigatus, a process which took the advantage of the lysine and linamarase secreting ability of the two lactic acid bacteria and cellulose degrading potential of the fungus. The enriched wastes were used to formulate broilers diets in which each was included at 0, 20, 40 and 60% in a completely randomized design in an 8-week trial. Three hundred and fifty (350) day old (Ross 308) broiler chicks were randomly allotted to 7 treatment diets at 10 chicks per replicate of five. The control diet contained no enriched CTW (0%) while diets 2–4 contained 20–60% microbially fermented cassava peel [MFCP], diets 5–7 contained 20– 60% microbially fermented cassava starch residues [MFCSR]. Growth performance, blood variables, serum biochemistry and economy of production were the response criteria. The final body weight (1.20-1.48 kg) and weight gain (1.16-1.44 kg) and weight gain (1.16-1.44kg) were not significantly (P>0.05) affected. Total feed intake increased with increased MFCP inclusion but decreased with increasing level of MFCSR with bird fed control diet having the best FCR (2.56). Only the Mean Corpuscular Haemoglobin Concentration (MCHC) was not significantly (P>0.05) affected of all the blood haematological indices measured. Of the entire serum metabolites measured only the albumin and globulin were significantly (P<0.05) affected. The feed cost per kilogram body weight decreased by 27.3-39.4% when the CTW was included. However, within the limit of this study, the inclusion of 40% and 60% of MFCP (27.3% and 23.9% cost reduction, respectively), could lead to profitable broiler production in sub-Saharan Africa.
Diagnostic Utility of Salivary Matrix Metalloproteinase-8 (MMP-8) in Chronic Periodontitis: A Novel Approach

Currently, diagnosis of chronic periodontitis is based on clinical methods which are cumbersome and have been shown to have inherent errors and drawbacks including inability to detect active disease. There is therefore an urgent need for a timely, cost-effective and less cumbersome method. Salivary matrix metalloproteinase-8 has been shown in some studies to be a promising bio-marker of chronic periodontitis. This was a case-control study conducted at the University College Hospital, Ibadan. It had 40 cases and 40 controls designed to assess the diagnostic ability of salivary MMP-8 in periodontal disease. Unstimulated whole saliva was assessed using the Quantikine human total MMP-8 ELISA kit from R&D® systems Europe.