Miracle-dz/UniFAR-FTUs huggingface dataset:
Assessing the Impact of Modifying the Introduction on the National Immunization Survey

The National Immunization Survey (NIS) Family of Surveys are random-digit-dial telephone surveys used to monitor vaccination coverage in the United States among children age 19-35 months (NIS-Child), adolescents 13-17 years (NIS-Teen), and influenza vaccination for children 6 months-17 years (NIS-Flu). The surveys collect householdreported demographic and access-to-care data from a parent or guardian during telephone interviews. In the NIS-Child and NIS-Teen, the parent or guardian is asked for consent to contact the child’s vaccination provider(s) to obtain the child’s immunization history using a mailed questionnaire. In 2018, the NIS transitioned from a dual-frame landline and cellphone sample design to a single-frame cell phone sample design. As response rates continue to be lower for cell phones than for landlines, it is important to identify methods for increasing response rates for the NIS. Evaluations were conducted on the NIS Surveys in Quarters 2 and 3 of 2018 to determine the impact of modified introduction scripts on survey completion rates. In Quarter 2, approximately half of the telephone interviewers were trained to use a progressive engagement methodology on the current introduction text. The remaining interviewers were trained to continue to read the text in the traditional way. Progressive engagement methodology involves interviewers pausing at appropriate times so that the respondent can participate in a conversational manner. It was hypothesized that using a progressive engagement methodology would increase the screener completion rate. In Quarter 3, interviewers were randomly selected to be trained on one of four conditions: the current version, a shortened version, a version emphasizing the purpose and importance of the study, or an informal version of the introduction text. It was hypothesized that the three new versions of the introduction would increase the screener completion rate relative to the current version. This paper presents the study design, results, conclusions, limitations, and recommendations for future research.
Learning Collaborative Pushing and Grasping Policies in Dense Clutter

Robots must reason about pushing and grasping in order to engage in flexible manipulation in cluttered environments. Earlier works on learning pushing and grasping only consider each operation in isolation or are limited to top-down grasping and bin-picking. We train a robot to learn joint planar pushing and 6-degree-of-freedom (6-DoF) grasping policies by self-supervision. Two separate deep neural networks are trained to map from 3D visual observations to actions with a Q-learning framework. With collaborative pushes and expanded grasping action space, our system can deal with cluttered scenes with a wide variety of objects (e.g. grasping a plate from the side after pushing away surrounding obstacles). We compare our system to the state-of-the-art baseline model VPG [1] in simulation and outperform it with 10% higher action efficiency and 20% higher grasp success rate. We then demonstrate our system on a KUKA LBR iiwa arm with a Robotiq 3-finger gripper.
Comparison of extracts of Cyphostemma Glaucophilla on total protein and membrane stabilisation.

The chloroform, ethanol and water extracts of pulve rised dried leaves of Cyphostemma glaucophilla were used in this study. Three sets of inbred Wistar alb ino rats of either sex aged 7-9months and weighing 100150g were fed on Top feed rat diet and allowed free access to water before and during the experiment. For each extract, five groups A, B, C, D and E of f ive animals each were respectively served daily dos es of saline [0.85% Nacl,5ml/kg],0.5,1.0,1.5 and 2.0mg /kg respectively extract for 14days using stomach tubes. Twenty four hours after the last administrat ion, the animals were sacrificed by ether anaesthes ia. Blood samples were drawn into heparinised tubes by cardiac puncture and centrifuged at 5000xg for 10minutes.The supernatant was used as plasma. The l ivers were dissected out, homogenised and the homogenate used to determine protein concentration. In experiment two, the effect of extract on erythrocyte membrane stability was investigated usi ng Human Red Blood Cell [HRBC] by the method of Born and Cross [1963] as modified by Nwodo [1981]. Data of protein concentration were analysed by one way ANOVA and student independent t-test and pr esented as means ± SEM and values with P < 0.05 were regarded as significant. The extract induced i ncreases of concentrations of plasma and liver proteins were dose dependent and significantly [P < 0.05] increased compared with the control group. The extract also protected against hypo tonicity in duced haemolysis. The order of potency of the extra cts were water extract > ethanol extract > chloroform e xtract and the differences amongst the effect was significant.
A chemically reduced graphene oxide–Au nanocage composite for the electrochemical detection of dopamine and uric acid

Herein, a chemically reduced graphene oxide–Au nanocage (CRGO–AuNCs) composite was synthesized by electrostatic assembly of poly-diallyldimethylammonium chloride (PDDA)-modified CRGO and mercaptosuccinic acid (MSA)-modified Au nanocages. The product was characterized via AFM, TEM, EDS, and XRD. CRGO–AuNCs were then used to prepare an electrochemical sensor for the simultaneous detection of dopamine (DA) and uric acid (UA). Electrochemical investigations indicated that CRGO–AuNCs exhibited high peak currents for the oxidation of DA and UA. The composite-modified glass carbon electrode (CRGO–AuNC/GCE) displayed good selectivity and wide linear ranges for the simultaneous detection of DA (5–250 μM) and UA (5–150 μM).
Development of HPLC-MS/MS method for the simultaneous determination of metabolites of organophosphate pesticides, synthetic pyrethroids, herbicides and DEET in human urine

ABSTRACT We developed an isotopic dilution high-performance liquid chromatography (HPLC)/tandem mass spectrometer (MS/MS) method to rapidly and accurately quantify nine metabolites of several classes of pesticide in 1 mL human urine specimens. The analytes covered in the method are two organophosphate (OP) pesticide metabolites: 3,5,6-trichloro-2-pyridinol (TCPy), 2-isopropyl-6-methyl-4-pyrimidinol (IMPY); three synthetic pyrethroid metabolites: 3-phenoxy benzoic acid (3-PBA), 4-fluoro-3-phenoxybenzoic acid (4-F-3-PBA) and trans-3-(2,2-dichlorovinyl)-2,2-dimethyl-1(1-cyclopropane) carboxylic acid (t-DCCA); three herbicide metabolites: 2,4-dichlorophenoxyacetic acid (DCPAA), 2,4,5-trichlorophenoxyacetic acid (TCPAA) and atrazine mercapturate; and one insect repellent: N,N-diethyl-meta-toluamide (DEET). The analytes are first deconjugated by incubating with acetate/β-glucuronidase buffer at 37°C for 17 h. The deconjugated analytes are extracted and concentrated from the urine matrix using solid-phase extraction cartridges, separated through C18 reversed phase HPLC, and analysed on MS/MS. The MS/MS was operated in positive and negative electrospray ionisation switch mode. Two ions from each analyte and one from each labelled internal standard are monitored for quantification and confirmation. The limit of detections (LODs) for all the analytes are in the low parts-per-trillion (0.05 ng/mL) except TCPy where it was 0.5 ng/mL) with a wide linear range (0.05 up to 40 ng/mL) and provides high accuracy (recoveries: 90–118%) and high precision (coefficient of variation <15%). The method accuracy was also verified by the analysis of proficiency testing urine samples. We analysed 101 urine samples for a recent California study cohort, and detection frequencies ranged from ~100% to 0%: 3-PBA (98%), IMPY (91%), TCPy, (89%), DCPAA (66%), 4-F-3-PBA (11%), TCPAA (0%).
Bio-silicon reinforced siloxane core polyimide green nanocomposite with multifunctional behavior

In this work, a novel polyimide (PI) was prepared using bis(4-aminophenoxy)dimethylsilane and napthyldianhydride and the resulting PI was further reinforced with varying weight percentages (1%, 3%, 5%, and 10 wt%) of amine-functionalized bio-silicon (FSi) derived from rice husk to obtain hybrid nanocomposites. The dielectric, thermal, surface, and ultraviolet (UV) shielding properties of both PI and hybrid PI nanocomposites were thoroughly investigated. It was observed that the reinforced FSi acts as a mini capacitor embedded in the PI packing and contributes to high dielectric constant (5.8) as well as low dielectric loss. Moreover, the distribution of FSi throughout the PI matrix also offers superior hydrophobicity (95.1° in water) and enhanced thermal stability (36% char yield) to those of neat PI. Furthermore, the hybrid nanocomposites possess higher UV shielding behavior in both UV-A (97.2%) and UV-B (95.8%) region than those of neat PI. Based on the experimental findings, it is concluded that the bio-mass-based FSi-reinforced PI nanocomposites can be utilized as printed circuit board material or antistatic coating material with improved performance and enhanced longevity under different environments.
Optimization of Biosynthesis of Silver Oxide Nanoparticles and Its Anticancer Activity

Silver oxide nanoparticle can be synthesized by chemical and biological methods. Biological synthesis has emerged as an exciting, ecofriendly approach. However, the process tends to be slow when we consider its industrial applicability. The development of reliable method for rapid synthesis of nanoparticles is one of the significant zones of interests in current nanotechnological research. In this paper, optimization of physiochemical parameters for rapid silver oxide nanoparticle synthesis using Bacillus thuringiensis SSV1 culture supernatant has been elucidated. Spherical-shaped silver oxide nanoparticles with an average particle size of 30nm were obtained. The cytotoxic effect of silver oxide nanoparticles was studied against HepG2 and Chang liver cell lines by MTT assay. These nanoparticles showed dose-dependent response on HepG2 (IC50=0.47μg/mL) and Chang liver cells (IC50=1.11μg/mL).
Hydrocracking of Non-edible Vegetable Oils with Co-Ni/HZSM-5 Catalyst to Gasoil Containing Aromatics

Biofuel has been considered as one of the environmentally friendly energy sources to substitute fossil fuel derived from non-edible vegetable oil. This research aims to investigate the effect of the non-edible vegetable oil composition on a specific hydrocarbons distribution contained in biofuel and the aromatics formation through hydrocracking reaction with the Co-Ni/HZSM-5 catalyst. The formation of aromatics from non-edible vegetable oils, such as: Cerbera manghas, rubber seed, and sunan candlenut oils, containing saturated, mono- and polyunsaturated fatty acids is presented. The hydrocracking reaction was carried out in a pressure batch reactor, a reaction temperature of 350 o C for 2 h, reactor pressure of 15 bar after flowing H 2 for 1 hour, and a catalyst/oil ratio of 1 g/200 mL. Liquid hydrocarbon product was analyzed by gas chromatography-mass spectrometry. Based on the GC-MS analysis, hydrocracking on three different oils indicated that polyunsaturated fatty acids were required to produce relatively high aromatics content. The sunan candlenut oil can be converted to gasoil range hydrocarbons containing a small amount of aromatic through hydrocracking reaction. Meanwhile, the aromatics in liquid product from hydrocracking of Cerbera manghas and rubber seed oils were not found. Copyright © 2017 BCREC Group. All rights reserved. Received: 21 st November 2016; Revised: 9 th May 2017; Accepted: 20 th May 2017 ; Available online: 27 th October 2017; Published regularly : December 2017 How to Cite : Prajitno, D.H. , Roesyadi, A. , Al-Muttaqii, M. , Marlinda, L. (2017). Hydrocracking of Non-edible Vegetable Oils with Co-Ni/HZSM-5 Catalyst to Gasoil Containing Aromatics. Bulletin of Chemical Reaction Engineering & Catalysis , 12(3):318-328 (doi:10.9767/bcrec.12.3.799.318-328)
Effects of Electric Fields on Forces between Dielectric Particles in Air

We developed a quantitative measurement technique using atomic force microscopy (AFM) to study the effects of both DC and AC external electric fields on the forces between two dielectric microspheres. In this work we measured the DC and AC electric field-induced forces and adhesion force between two barium titanate (BaTiO3) glass microspheres in a low humidity environment by this technique. The objective here is to find out the correlation between these measured forces and applied field strength, frequency, and the separation distance between the two spheres was studied. Since the spheres would oscillate under an AC field, the AC fieldinduced force was divided into dynamic component (i.e., time-varying term) and static component (i.e., time-averaged term) to investigate. The oscillatory response occurs at a frequency that is twice the drive frequency since the field-induced force is theoretically proportional to the square of the applied field. This behavior can be observed in the fast Fourier transformation (FFT) spectra of the time series of the deflection signal. The magnitude of the vibration response increases when the frequency of the drive force is near resonant frequency of the particle-cantilever probe. The amplitude of this vibration increases with proximity of the two particles, and ultimately causes the particles to repeatedly hit each other as in tapping mode AFM. The effect of the Maxwell-Wagner interfacial relaxation on the DC electric field-induced force was discovered by monitoring the variation of the field-induced force with time. The static component of the AC electric field-induced force does not vary with the applied frequency in the range from 1 to 100 kHz, suggesting that the crossover frequency may equal to or less than 1 kHz and the permittivities of the BaTiO3 glass microspheres and medium dominate the field-
Multi-tract multi-symptom relationships in pediatric concussion

The heterogeneity of white matter damage and symptoms in concussions has been identified as a major obstacle to therapeutic innovation. In contrast, the vast majority of diffusion MRI studies on concussion have traditionally employed group-comparison approaches. Such studies do not consider heterogeneity of damage and symptoms in concussion. To parse concussion heterogeneity, the present study combines diffusion MRI (dMRI) and multivariate statistics to investigate multi-tract multi-symptom relationships. Using dMRI data from a sample of 306 children ages 9 and 10 with a history of concussion from the Adolescent Brain Cognitive Development Study (ABCD study), we built connectomes weighted by classical and emerging diffusion measures. These measures were combined into two informative indices, the first capturing a mixture of patterns suggestive of microstructural complexity, the second representing almost exclusively axonal density. We deployed pattern-learning algorithms to jointly decompose these connectivity features and 19 behavioural measures that capture well-known symptoms of concussions. We found idiosyncratic symptom-specific multi-tract connectivity features, which would not be captured in traditional univariate analyses. Multivariable connectome-symptom correspondences were stronger than all single-tract/single-symptom associations. Multi-tract connectivity features were also expressed equally across different sociodemographic strata and their expression was not accounted for by injury-related variables. In a replication dataset, the expression of multi-tract connectivity features predicted adverse psychiatric outcomes after accounting for other psychopathology-related variables. By defining cross-demographic multi-tract multi-symptom relationships to parse concussion heterogeneity, the present study can pave the way for the development of improved stratification strategies that may contribute to the success of future clinical trials and the improvement of concussion management.
Diabetes risk score in Qatar: Model development, validation, and external validation of several models.

Aim: To establish a simple risk score for identifying individuals at high risk of developing Type 2 Diabetes Mellitus (T2DM) in Qatar, based on easy-to-obtain variables. Materials and Methods: A cross sectional sample of 2000 individuals from Qatar BioBank, obtained for the development cohort, was evaluated using the Least Absolute Shrinkage and Selection Operator (LASSO) for feature selection along with logistic regression to determine the predictive variables for the risk of T2DM along with impaired glucose metabolism (IGM). Complex machine learning analyses were performed for comparative purposes. Another sample of 1000 participants was subsequently obtained for external validation of the developed models. Several existing scoring models screening for T2DM were evaluated and compared to the model proposed by this study. Results: 1660 participants were included in the analysis which showed that age, gender, waist-to-hip-ratio, history of hypertension (HTN), history of hypercholesteremia (HCL) and levels of educational were statistically associated with the risk of T2DM and constituted the Qatari diabetes risk score (QDRISK). In addition to the 6 aforementioned variables constituting the QDRISK, the IGM model showed that BMI was statistically significant. The QDRISK performed well with an area under the curve (AUC) 0.870 (95%CI 0.843, 0.896) in the development and 0.815 (95% CI: 0.765, 0.864) and external validation cohort. Compared to the majority of evaluated scores, the QDRISK showed overall better accuracy and calibration. The IGM model performed moderately high with AUC 0.796 (95% CI: 0.774, 0.819) in the development cohort and 0.774 (95% CI: 0.740, 0.809) in the external validation cohort. Conclusions: Our study investigated risk factors for developing T2DM as well as IGM and developed Qatari-specific risk scores based on demographic and anthropometric factors to identify high risk individuals. This simple, cost-effective and convenient tool can guide the development of a nationwide primary prevention program in Qatar.
Pre-chlorination contact time and the removal and control of Microcystis aeroginosa in coagulation

The use of pre-oxidation is known to improve algae removal by coagulation and control the growth of algae. The contact time between oxidants and algae in pre-oxidation stage has been found as important parameter. This study investigated the effect of pre-chlorination contact time on the control and removal of cyanobacteria Microcystis aeruginosa by coagulation. The results showed that when the alum dose was sufficient, increasing contact time showed an improvement in algae removal by coagulation in case of high chlorine dose. The algae removal ratio at high chlorine dose, 3 mg L-1 increased when contact time increased and it decreased after 30 minutes of contact time. In contrast, the result from chlorine dose, 2 mg L-1, showed an unclear trend when contact time increased. Adding 2 mg L-1 of pre-chlorination with 10 minutes of contact time was enough to control the regrowth of M. aeruginosa. In addition, dissolve organic carbon (DOC) and UV absorbance at 254 nm, which particulary indicates aromatic compounds, tended to increase when the contact time increased. The increased of DOC and UV 254 indicated the release of intracellular organic matter (IOM) from M. aeruginosa. High level of DOC, 0.68 mg L-1 in this study showed negative effect on M. aeruginosa removal by coagulation and could not be removed by coagulation process.
Analysis of Design Directions for Unmanned Surface Vehicles (USVs)

In recent years, because of the development of marine military science technology, there is a growing interest in the unmanned systems throughout the world. Also, the demand of Unmanned Surface Vehicles (USVs) which can be autonomously operated without the operator intervention is increasing dramatically. The growing interests lie in the facts that those USVs can be manufactured at much lower costs, and can be operated without the human fatigue, while can be sent to the hostile or quite dangerous areas that are inherently unhealthy for human operators. The utilization and the deployment of such vessels will continue to grow in the future. In this paper, along with the technological development of unmanned surface vehicles, we investigate and analyze the cases of already developed platforms and identify the trends of the technological advances. Additionally, we suggest the future directions of development.
Personal Identification Based on Iris Texture Analysis using Semivariogram and Correlogram Functions

In this paper, a method for testing two geostatistics functions to extract features of the iris is proposed. The use of these kinds of functions is a good choice to discriminate information of the iris texture because they can perform analyses in any direction and at any distance. We consider the following phases: iris localization that uses three techniques: Watershed, Hough Transform and Active Contours; features extraction that use two geostatistics functions where the first is known as semivariogram and the second is known as correlogram; classification that uses the Euclidean Distance. The tests are carried out with an iris database, known as CASIA which contains 756 images. The results obtained with the localization method, as well as the results obtained by means of features classification are promising. The iris localization method has reached 90% of success. The two analyzed functions have provided above 95% of classification success. The Semivariogram function has obtained 97.35% of success while the correlogram function has obtained 97.61% of success. The preliminary results of this approach are very encouraging in characterizing iris using the two geostatistics functions.
Comparing Futures for the Sacramento - San Joaquin Delta

For over 50 years, California has been pumping water through the Sacramento-San Joaquin Delta for extensive urban and agricultural uses around the state. Today, the Delta is ailing and in urgent need of a new management strategy. This report concludes that building a peripheral canal to carry water around the Delta is the most promising way to balance two critical policy goals: reviving a threatened ecosystem and ensuring a reliable, high-quality water supply for California.