Miracle-dz/UniFAR-FTUs huggingface dataset:
Anaerobic fluidized‐bed treatment of propellant wastewater

Treatment of propellant wastewater by anaerobic fluidized‐bed bioreactors (FBRs) containing granular activated carbon has been shown to be effective in laboratory and field feasibility studies. These studies were conducted in 100 mm (4 in.) diameter columns (8 L volume) treating low volumes of water taken directly from a propellant‐production operation. The contaminant of interest, dinitrotoluene, was converted anaerobically to diaminotoluene (DAT), with subsequent aerobic mineralization of the DAT in an activated‐sludge process. A demonstration of this technology has been conducted at Radford, Virginia, Army Ammunition Plant, using a commercially available 500 mm (20 in.) diameter column (710 L volume) FBR modified for anaerobic operation. The FBR was followed in series by a rotating biological contactor to simulate anaerobic pretreatment at a point source, followed by aerobic treatment at the existing facilities. Significant differences in the composition of the wastewater stream were encountered between the feasibility study and demonstration. The concentrations of easily degraded solvents (ethanol and ether) were much lower during the demonstration than during the feasibility studies. The events encountered in scaling up the process from the laboratory to pilot scale are reported, and the results of the pilot‐scale demonstration are compared with the laboratory‐scale data.
Immuno-inflammatory predictors of disease severity in COVID-19: A systematic review and meta-analysis

Deregulated immune response and raised inflammation are the cardinal laboratory features in COVID-19 infection reflecting severity of condition. Detection of the markers will help in early diagnosis with timely therapeutic implementation and effective outcome. Observational studies have suggested alteration in these parameters with severity of the condition. This systematic review and meta-analysis was conducted to assess the relevance of the fact. Observational studies from databases were scrutinised and 3669 articles were identified. Further screening, based on the inclusion criteria a total of 19 articles with 3115 participants, were reviewed for meta-analysis using random effects model. Any data in median and interquartile range were converted to mean ± SD. There was a significant rise in total leukocyte count, C-reactive protein, ferritin, IL-6, IL-10, procalcitonin in severe cases but absolute lymphocyte count, CD4+ and CD8+ registered a fall in severe cases in comparison to non-severe group. Immune and inflammatory markers are significantly altered and related to severity of manifestation in COVID-19 infection.
Characterization of Oxygen Vacancy Associates within Hydrogenated TiO2: A Positron Annihilation Study

This paper introduces a novel method for characterizing the oxygen vacancy associates in hydrogenation-modified TiO2 by using a positron annihilation lifetime spectroscopy (PALS). It was found that a huge number of small neutral Ti3+–oxygen vacancy associates, some larger size vacancy clusters, and a few voids of vacancy associates were introduced into hydrogenated TiO2. The defects blurred the atomic lattice high-resolution transmission electron microscopy (HRTEM) images and brought about the emergence of new Raman vibration. X-ray photoelectron spectroscopy (XPS) measurement indicated that the concentration of oxygen vacancies was 3% in the TiO2 lattice. The photoluminescence (PL) spectroscopy, photocurrent, and degradation of methylene blue indicated that the oxygen vacancy associates introduced by hydrogenation retarded the charge recombination and therefore improved the photocatalytic activity remarkably.
Knowledge Graph for China's Genealogy11.A shorter version of this paper won the Best Paper Award at IEEE ICKG 2020 (the 11th IEEE International Conference on Knowledge Graph, ickg 2020.bigke.org).

Genealogical knowledge graphs depict the relationships of family networks and the development of family histories. They can help researchers to analyze and understand genealogical data, search for genealogical descendant paths, and explore the origins of a family. However, the heterogenous, autonomous, complex, and evolving natures of genealogical data bring challenges to the development of contemporary genealogical knowledge graph models. Applying existing methods to genealogical data may be improper because general knowledge graph models lack in-depth domain knowledge. In this paper, we propose a genealogical knowledge graph model named Huapu-KG that combines HAO intelligence (human intelligence + artificial intelligence + organizational intelligence) to implement the construction and applications of genealogical knowledge graphs. Furthermore, challenges in constructing genealogical knowledge graphs are demonstrated, and experiments conducted on real-world genealogical datasets verify the feasibility and effectiveness of our proposed model.
A CT study of tibiofemoral rotation alignment in normal knee joint of Chinese adult

Background : Tibial rotation in total knee arthroplasty remains controversial. The aim was to investigate which anatomical reference was closer to SEA in 10 tibial markers in Chinese adult. Methods : The study included 122 normal lower extremities. 10 axes were drawn on the axial sections: transverse axis of tibia(TAT), axis of medial edge of patellar tendon (MEPT), axis of medial 1⁄3 of patellar tendon attachment (M1/3), Akagi line, Insall line, axis of medial border of tibial tubercle(MBTT)，axis of anterior border of the tibia 1-4(ATC1-4). The angles between TAT and SEA as well as the angles between other axes and the perpendicular to SEA were measured. Pairwise differences among the 10 tibial axes were examined using one-way ANOVA and paired t-test. Results : In all the knees, the mean angles of M1/3, Akagi line, Insall line, MBTT, ATC1, ATC2, ATC3, and ATC4 axes compared to perpendicular of projected SEA were 10.2±5.1°, 1.4±5.0°, 11.9±5.4°, 3.6±4.8°, 12.0±6.9°, 7.2±8.6°, 7.1±10.4°, and 6.6±13.5° external rotation, respectively, and the MEPT axis was 1.6±4.5° internal rotation. The TAT was 4.1±5.3° external rotation compared to SEA. The M1⁄3 and Insall line were significantly externally rotated than Akagi line, MEPT, MBTT, TAT, ATC2, ATC3, and ATC4 axes. There was no significant difference between the TAT axis and the MBTT axis, as well as no significant difference between the ATC2, ATC3, and ATC4 axes. Conclusion : Akagi line, MBTT and TAT show good consistency with SEA in axial femorotibial alignment with knee in extension. The middle segment of the anterior tibial crest also has good alignment consistency with SEA in axial femorotibial alignment, it can be reliable reference mark for rotational alignment of the tibial component in TKA.
Investigation of Hydrogen Droplet Solidification in Cryogenic Helium

Hydrogen-particle formation in liquid helium is investigated through a two-dimensional model. A liquid-hydrogen droplet at ∼14 K is injected into a helium bath of∼4 K to produce a hydrogen particle. Hydrogen-particle formation in liquid helium involves vaporization of helium around the hydrogen droplet and its subsequent condensation, along with the simultaneous solidification of the droplet. To track the interface between the liquid and vapor phases of helium, the volume-of-fluid method is used. The enthalpy-porosity technique is employed to model hydrogen solidification. Numerical results are presented for the evolution of helium phase exchange and hydrogen solidification processes.
The rice annexin gene OsAnn5 is a positive regulator of cold stress tolerance at the seedling stage

Annexins exist widely in plants as multigene families and play critical roles in stress responses and a range of cellular processes. In this study, we report on the cloning and functional characterization of the rice annexin gene OsAnn5. We found that the expression of OsAnn5 was induced by cold stress treatment at the seedling stage of rice. GUS staining assay indicated that the expression of OsAnn5 was non tissue-specific and was detected in almost all rice tissues. Subcellular localization indicated that OsAnn5-GFP (green fluorescent protein) signals were found in the endoplasmic reticulum apparatus. Compared with wild type rice, overexpression of OsAnn5 significantly increased survival rates at the seedling stage under cold stress, while knocking out OsAnn5 using the CRISPR/Cas9 (clustered regularly interspaced short palindromic repeats/CRISPR associated proteins) mediated genome editing resulted in sensitivity to cold treatments. These results indicate that OsAnn5 is a positive regulator of cold stress tolerance at the seedling stage.
Hurricane Irma induces divergent behavioral and hormonal impacts on an urban and forest population of invasive Anolis lizards: evidence for an urban resilience hypothesis

Hurricanes can have both profound short-term effects on animal populations and serve as long-term drivers of evolutionary change. Animals inhabiting varying habitats may differ in their response to hurricane impacts. Increasing evidence suggests that animals from urban areas exhibit different behavioral and physiological traits compared to rural counterparts, including attenuated hormonal stress responses and a lowered propensity for flight behavior. A unique opportunity was presented when Hurricane Irma hit Florida on 10 September 2017 and interrupted a study of invasive brown anoles (Anolis sagrei) at an urban and a forest. Using data collected before and after Hurricane Irma, we documented that forest anoles exhibited a greater avoidance of people and more male territorial behavior for a longer period of time following the hurricane. Post-hurricane both populations increased corticosterone concentrations post-capture stress, but urban anoles recovered 2 weeks faster than forest conspecifics. A dexamethasone suppression experiment suggested that these population differences were the result of forest anoles having a less effective negative feedback regulating corticosterone secretion. In the brain, forest anoles had higher corticosterone concentrations within the amygdala and parts of the cortex associated with stress than urban lizards. One explanation may be Hurricane Irma brought flooding and debris that altered the landscape leading to behavioral instability, and urban lizards already exhibited ecological adjustments that permitted a more rapid recovery (i.e. the ‘urban resilience’ hypothesis). Testing if urban animals are more resilient to natural disasters can inform conservationists interested in understanding their role in facilitating invasive species expansion and what their increasing presence may indicate for animal populations.
THE IMPACT OF WORD OF MOUTH AND BRAND IMAGE ON BUYING DECISIONS OF ZOMATO GOLD’S MEMBERSHIP

In January 2020, Zomato Gold has around +1500 restaurant partners in JABODETABEK within total members +100.000. Zomato gold focuses on the FNB world, where other competitors have beneficial besides FNB such as spa, fitness, salon. It aims to stay in the FNB corridor. The purpose of this study is to investigate the Impact Word of Mouth and Brand Image on Buying Decisions. The objective of this research is the sales of Zomato Gold’s membership affected the variables, by obtained samples from the questionnaire results of 102 active users of Zomato Gold. Simultaneous test results (F) showed a significance value (p-value) smaller than the alpha value of 0.000 <0.05. The effect of the two variables on the Buying Decision is 43.3% while the remaining 56.7% represents the influence of other variables. Thus, companies need more focus on Brand Image, improve their services on Zomato Gold, it can affect the impact of variable WOM more positively.
Deployable Models for Approximating Web QoE Metrics From Encrypted Traffic

Being on endpoints, Content Providers can easily evaluate end users’ Web browsing quality of experience (Web QoE) by accessing in-browser computed application-level metrics. Because of end-to-end traffic encryption, it is becoming considerably harder for Internet Service Providers (ISPs) to evaluate the Web QoE of their customers, which is important for management purposes. In this paper, we propose data-driven machine learning techniques and exact flow-level algorithmic methods to infer well-known application-level Web performance metrics (such as SpeedIndex and Page Load Time) from raw encrypted streams of network traffic. We prove the efficiency of our approach taking as input a unique dataset of more than 200,000 experiments, targeting a large set of popular pages (Alexa top-500), from probes from several ISPs networks, with different browsers (Chrome, Firefox) and viewport combinations. Results show that our data-driven models are not only accurate for several Web performance metrics, but also feature the ability to generalize to previously unseen conditions. Furthermore, we discuss how our extremely lightweight flow-level method has a provable accuracy on a specific metric, and is thus of particular appeal from a deployment viewpoint.
Lanthanide and actinide extractions with cobalt bis(dicarbollide) ion derivatives covalently bonded to diglycolyl diamide platform

Abstract The separation of minor actinides from high-level waste (HLW) remains a difficult problem. A wide series of compounds based on two cobalt bis(dicarbollide) ions [(1,2-C2B9H10)(1′,2′-C2B9H11)-3,3′-Co(III)]− (1) covalently bonded to a diglycolyl amide platform via diethyleneglycol connectors was prepared by reaction of the diglycolic acid dichloride with various ammonium derivatives of the ion 1 with the aim to develop new class of extractants for trivalent radionuclides from acidic waste solutions. The extractants of general formulation [{(N,N-(8-CH2-CH2O)2-1,2-C2B9H10)(1′,2′-C2B9H11)-3,3′-Co)(N,N′-R)NCOCH2}2-O]Na2 differed in substitution on the amidic nitrogen (by e.g. butyl-, hexyl-, octyl-, t-octyl-, dodecyl-, benzyl-groups). Compounds were characterized by combination of 11B, 1H and 13C NMR spectroscopy, ESI-MS, HPLC, and TLC RF. The purity of all species was better than 98%. Most of the compounds proved to be very efficient extraction agents and enabled effective extraction of europium(III) and americium(III) from nitric acid solutions. The recovery of the trivalent radionuclides from the loaded organic phase was possible by using ammonium citrate or even better by using solution of ammonium citrate and ammonium DTPA (diethylenetriamine pentaacetate).
Development and characterization of Simple Sequence Repeat (SSR) markers from the genomic sequence of sweet potato [Ipomoea batatas L. (Lam)]

Background: Sweetpotato is a multifunctional root crop with many essential nutrients and bioactive compounds. Due to its genetic complexity and lack of genomic resources, efficient genetic studies, and cultivar development lags far behind other major crops. Simple sequence repeats (SSRs) offer an effective molecular marker technology for molecular-based breeding and for locating important loci in crop plants, but only a few have previously been developed in sweetpotato. Results: To further explore new SSR markers and accelerate its use in sweetpotato genetic studies, genome-wide characterization and development of SSR markers were performed using the recently published genome of sweetpotato cultivar, Taizhong6. In this study, a set of 2,431 primer pairs were developed from 133,727 SSRs identified in the sweetpotato genome using the Perl script MISA software. The average frequency was one SSR per 6.26 kb with dinucleotides (38.5%) being the most dominant repeat motif. The main motif types in all repeats were AT/AT, AAT/ATT, A/T, AAAT/ATTT, AAAAT/ATTTT and AAAAAT/ATTTTT accounting for 78.29% of the total SSRs. 50% of the 100 randomly selected primer pairs amplified 251 alleles and the average number of alleles was 5.02 alleles per locus with a range of 1 to 13 alleles. The UPGMA cluster analysis grouped the 24 sweetpotato materials into four clusters at a similarity coefficient of 0.68. Conclusion: The SSR markers currently developed will provide valuable genetic resources for germplasm identification, genetic diversity analysis, and functional genomics studies in sweetpotato and related species.
The Effect of Incorporation of Hydrocarbon Groups on Visible Photoluminescence of Thermally Treated Fumed Silica

Methyl, methoxy and alcoxy groups with different number of carbon atoms were chemically grafted onto the surface of fumed silica nanoparticles. After chemical modification the nanopowders were annealed in vacuum at 700 °C. The effect of the amount of carbon atoms in grafted hydrocarbon groups and type of bonding to silica surface (Si-C v.s. Si-O-C) were studied. It was demonstrated that carbon incorporation results in the development of broad band photoluminescence that covers the wholevisible spectral range. Increasing of carbon incorporation resulted in increasing of photoluminescence intensity and red shift of the photoluminescence band maximum.
Topology Tracking for Active Distribution Networks

With the integration of intermittent renewable energy sources in the distribution network, the number of network reconfiguration events has increased significantly. In a medium voltage distribution network, most of the critical circuit breakers’ (CBs’) statuses are monitored by remote terminal units (RTUs). However, in many cases, some of the CBs’ status may not be correctly updated by the supervisory control and data acquisition (SCADA) system because of communication failure and data packet loss issues. Thus, the distribution system operator (DSO) cannot solely rely on CB status provided by the SCADA for topology detection. This paper proposes a data-driven topology tracking algorithm for active distribution networks. The topology of the distribution network is represented with a time-varying connectivity matrix. The changes in network topology are detected by estimating the elements of the bus connectivity matrix using voltage phase angle measurements provided by a sparse set of micro phasor measurement units (<inline-formula><tex-math notation="LaTeX">$\mu$</tex-math></inline-formula>PMUs). The algorithm extracts information from previous network topology using an <inline-formula><tex-math notation="LaTeX">$l_1$</tex-math></inline-formula> norm regularization on the difference of consecutive connectivity matrices. The changes in topology can be detected by observing a few <inline-formula><tex-math notation="LaTeX">$\mu$</tex-math></inline-formula>PMU phasor samples. The algorithm is tested on IEEE benchmark test feeders with real load profiles.
Moving Vehicle Detection Based on RPCA Using Multisquint Spaceborne SAR Images

In this letter, a moving vehicle detection method is proposed based on spaceborne synthetic aperture radar images, generated by antenna azimuth steering with different azimuth angles and time lags. First, the multisquint geometry and sequential image model are established, and the variation from stationary scatters over sequence is addressed, which interferes the indication of moving signals significantly. Then, the robust principal component analysis (RPCA) is employed in the image domain as the predetection step. Next, with some spatial filters and thresholding estimators, the moving target signature is exploited to further discriminate the residual false detection. Finally, the proposed method is verified by both simulated and real images based on TerraSAR-X data. Results reveal that the clutter suppression can be effectively achieved.
Internet of Things based Integrated Smart Home Automation System

Users often need to control and monitor activities inside the home remotely, for elderly parents, children, or pets. This paper presents a multifunctional, low-cost, and flexible system for smart home monitoring and control. The system is based on node-MCU ESP32 with Internet connectivity that allows remote device control. The system transmits sensor data to the Firebase database and can receive commands from the server, allowing automatic control. The android-based mobile app is designed for communication with the Firebase database and updating its values to monitor and control the various home appliances. For the demonstration of the feasibility of the system, various sensors like temperature, humidity, light, LPG (MQ-6), and motion sensors were integrated into a prototype of the home automation system. For the authentication and validation of the proposed system, the performance of the system is studied rigorously and is also evaluated.
The Expression of NF-kB Signaling Pathway Was Inhibited by Silencing TGF-b4 in Chicken IECs Infected with E. tenella

17/June/2020 Approved: 05/October/2020 ABSTRACT Chicken coccidiosis is a parasitic disease caused by one or more species of Eimeria infection with severe consequences. The NF- κ B signaling pathway and TGF- β 4 play an important role in the inflammation and immune response caused by coccidiosis infection. This study was designed to investigate the changes of NF- κ B signaling pathway and the effects of TGF- β 4 silencing on the expression of NF- κ B signaling pathway in chicken’s intestinal epithelial cells (IECs) after infecting with E. tenella sporozoites. TGF- β 4 small interfering RNA (TGF- β 4 siRNA) sequences were transfected into chicken IECs for reducing TGF- β 4 expression. The results showed that compared with uninfected control group (Con.), the proinflammatory factors of NF- κ B, IL-6, IL-2, IL-1 β increased significantly in the E. tenella infected group (ET) ( p< 0.05). In comparison with the IECs in the ET, the expression level of NF- κ B, IL-6, IL-2, IL-1 β dropped significantly in the group infected both by E. tenella and TGF- β 4 siRNA vector (ET+siRNA) ( p< 0.05). The results of this experiment indicate that NF- κ B signaling pathway is closely correlated with TGF- β 4 in IECs infected with coccidia sporozoites. TGF- β 4 plays an important role in regulating the immune function of coccidia-infected chicken epithelial cells through NF- κ B signaling pathway and preventing
Manufacturing Process of Solar Cells Using Cadmium Oxide (CdO) and Rhodium (III) Oxide (Rh2O3) Nanoparticles

band gap make produce electron and hole in them. If sunlight be able to supply required energy to produce electron and hole, sunlight can be converting directly to electrical energy. This process is being done easily in narrow band gap semiconductors. Bands’ gap of Cadmium Oxide (CdO) and Rhodium (III) Oxide (Rh2O3) nanoparticles are from IR to UV range. Since the only 5–10% of sunlight is in this range, in solar cells based on Cadmium Oxide (CdO) and Rhodium (III) Oxide (Rh2O3) nanoparticles, for making them sensitive to visible light, dyes are used as scavenger. In this editorial, the method of manufacturing electrodes which are synthesized by Mercurochrome have been studied and comparing of their efficiency due to their structure and morphology, have been done by Energy Dispersion Analysis (EDS), Scanning Electron Microscope (SEM), X–Ray Diffraction (XRD), Transmission Electron Microscope (TEM), Differential Thermal Analysis–Thermal Gravim Analysis (DTA–TGA), Energy–Dispersive X–Ray Spectroscopy (EDX), 1HNMR, 13CNMR, UV–Vis, Attenuated Total Reflectance Fourier Transform Infrared Spectroscopy (ATR–FTIR) and FT–Raman spectroscopies and also ESI MS, PM5 and DFT studies. Figure 1: Scanning Electron Microscope (SEM) image of solar cells manufactured by Cadmium Oxide (CdO) nanoparticles with 300000x zoom. Figure 4: Transmission Electron Microscope (TEM) image of solar cells manufactured by Rhodium (III) Oxide (Rh2O3) nanoparticles with 300000x zoom.