Miracle-dz/UniFAR-FTUs huggingface dataset:
Effect of functionalized multi-wall carbon nanotubes/Biresin CR82 epoxy nanocomposite on vibration attenuation of aluminum plate

This article focused on further investigation of passive vibration damping of a cantilever plate using carbon nanotube/epoxy nanocomposite. A damping ratio depends on many factors, for example carbon nanotube content, type of carbon nanotubes, and frequency, so the epoxy composite reinforced with 0.2 wt. % multi-wall carbon nanotubes has been used with structural damping. Dynamic analysis for an aluminum cantilever plate has been studied to determine the effect of the epoxy nanocomposite material on the plate vibration. The main goal of the study was to minimize the frequency response function amplitude and shift the resonant frequency of the plate as high as possible, especially for the fundamental frequency. An finite element model exhibited an increase in the resonant frequency by 10.6% and 1.2% in addition to a reduction in the frequency response function amplitude by 79.5% and 43.26% at the first and second bending modes, respectively, when using 0.2 wt. % multi-wall carbon nanotubes/epoxy circular patches at an optimal position compared with the bare plate. In case of using a stiffener below the plate, the results exposed an increase in resonant frequency by 154.6% and 181.7%, whereas the frequency response function amplitude showed reduction by 95.9% and 98.2% at the first and second bending modes, respectively, when using three stiffeners of multi-wall carbon nanotubes/epoxy nanocomposite with the same mass of circular patches compared also with the bare plate.
Extraction of Mucilage from Chia Seeds and its Application as Fat Replacer in Biscuits

Chia seeds (Salvia hispanica L.) are considered as one of the “Superfoods” due to its high nutritional value. They are good source of dietary fiber, protein and unsaturated fats. Application of mucilage from chia seeds in food industry has been of interest lately. There are no commercially viable techniques to extract and separate mucilage due to its limited research, low extractability and yield. In the present study, chia mucilage is extracted from white chia seeds by a novel thermal process. The extracted mucilage powder is reconstituted and further incorporated into the biscuits as a gel and investigated for the effect of partial fat substitution (20% to 40 %) on physical properties (spread ratio, color, and texture profile), chemical properties (carbohydrates, protein, fat and ash) and sensory evaluation of biscuits along with the control sample. The yield of mucilage obtained through novel method is 8%. Addition of chia mucilage gel had a positive effect on hardness of biscuits. The color of the biscuits changed from light brown to creamy yellow as the level of mucilage gel increased. The sensory properties of the biscuit were strongly influenced by the mucilage gel level. By considering the overall acceptability of the biscuits, the use of chia mucilage gel can be considered as a potential fat replacer. Keywords—Chia seeds. chia mucilage gel, fat replacer, viscosity of mucilage gel.
Direct Use of Neural Networks for Decision Making

In most cases the output of a neural network produces a predicted value for the relevant output factor or probabilities for different values of the relevant output factor, and a decision is made based on these values.This paper develops a methodology of using neural networks directly for making decisions without preliminary obtaining the predicted value for the relevant output factor (or probabilities fordifferent values of the relevant output factor). The presented methodology is related to reinforcement learning.
Sequential Compression Device Adherence is Low in Hospitalized Antepartum Patients

Abstract Objective This study was aimed to describe sequential compression device (SCD) adherence and its associations with SCD education in hospitalized antepartum women. Study Design This study included antepartum, nonlaboring women admitted from 2016 to 2018, 1 year before and after an SCD education intervention. SCD use was assessed through the Kendall SCD 700 series compliance meter, which tracks the time the SCD machine takes within the monitoring interval. Recruitment occurred after 60 to 80 hours of monitoring, at which time a patient survey was completed. SCD use was the percentage of time the machine was on during monitoring. Mann–Whitney U and Chi-square tests were used to compare associations between SCD use, education, and pharmacologic prophylaxis. Results Among 125 recruited women, 123 provided adherence data, 69 before and 54 after the education. Median SCD use was 17.3% before and 20.7% after (p = 0.71). Pharmacologic prophylaxis use was similar between the two periods and was not associated with SCD use. Among 121 surveys, the most common reason as to why SCDs were not worn was prevention of walking (52/121 [43.0%]). Conclusion Using a novel monitoring technique, we found low-SCD use among antepartum inpatients, which was neither affected by education nor concurrent pharmacologic prophylaxis. Improving mobility with SCDs may improve use in this population. Key Points SCD use was low in this cohort of hospitalized antepartum patients. A patient/nursing education intervention was not associated with SCD adherence. Concurrent pharmacologic VTE prophylaxis was not associated with SCD adherence.
Limiting curves in an axially symmetric galaxy

The aim of this article is to reveal the geometry of the windows through which stars escape from a potential modeling the central part of a galaxy with axial symmetry and presenting one exit channel. This study has been performed by analyzing the ingoing and outgoing asymptotic orbits to the Lyapunov orbit located at the opening of the potential in a suitable surface of section.
Chondritic Organic Matter as an Indicator of Nebular and Parent Body Processing: Extended Pyrolysis Studies for CM, CI, CR, CO, CV, Ordinary, and Tagish Lake Group Meteorites

Fig. 1. Relative compositions of different types of PAHs identified from the representative 12 IOM by pyrolysis-GC-MS. CHONDRITIC ORGANIC MATTER AS AN INDICATOR OF NEBULAR AND PARENT BODY PROCESSING: EXTENDED PYROLYSIS STUDIES FOR CM, CI, CR, CO, CV, ORDINARY, AND TAGISH LAKE GROUP METEORITES. H. Yabuta, G.D. Cody and C.M. O’D. Alexander, Geophysical Laboratory and Department of Terrestrial Magnetism, Carnegie Institution of Washington, 5251 Broad Branch Rd. N.W. Washington DC, 20015 USA. (hyabuta@gl.ciw.edu) .
BUDHiES IV: Deep 21-cm neutral Hydrogen, optical, and UV imaging data of Abell 963 and Abell 2192 at z ≃ 0.2

In this paper, we present data from the Blind Ultra-Deep H i Environmental Survey (BUDHiES), which is a blind 21-cm H i spectral line imaging survey undertaken with the Westerbork Synthesis Radio Telescope. Two volumes were surveyed, each with a single pointing and covering a redshift range of 0.164 < z < 0.224. Within these two volumes, this survey targeted the clusters Abell 963 and Abell 2192, which are dynamically different and offer unique environments to study the process of galaxy evolution within clusters. With an integration time of 117 × 12 h on Abell 963 and 72 × 12 h on Abell 2192, a total of 166 galaxies were detected and imaged in H i. While the clusters themselves occupy only 4 per cent of the 73 400 Mpc3 surveyed by BUDHiES, most of the volume consists of large-scale structures in which the clusters are embedded, including foreground and background overdensities and voids. We present the data processing and source detection techniques and counterpart identification based on a wide-field optical imaging survey using the Isaac Newton Telescope and deep ultraviolet (UV) Galaxy Evolution Explorer (GALEX) imaging. Finally, we present H i and optical catalogues of the detected sources as well as atlases of their global H i properties, which include integrated column density maps, position–velocity diagrams, global H i profiles, and optical and UV images of the H i sources.
Research on Transmission Performance of A Seven-gear Three-degree-of-freedom Planetary Gear Automatic Transmission Based on Graph Theory and Matrix Equation

The transmission performance analysis of planetary gear automatic transmission is helpful for the following structural size optimization, hydraulic design and electric control design. The current graphic method has the disadvantages of low calculation accuracy and lack of intuition in numerical analysis method. This paper proposes a method to analyze the transmission performance based on graph theory and matrix equation. Firstly, a graph theory analysis model is established for the self-designed seven-gear three-degree-of-freedom planetary gear automatic transmission, and the structural characteristics of the transmission are analyzed. Then, on the basis of analyzing the shift actuator worksheet, the motion analysis model and torque analysis model of typical gears are designed by taking the first gear and the reverse gear as examples, and the speed and torque values of all gears of the transmission are calculated by using the corresponding matrix equation. Finally, the power flow diagram of the typical gear is established by taking the first gear and the fourth gear as examples, and the direction and numerical value of power flow are identified on the diagram. The results show that the method can realize the combination of qualitative and quantitative analysis for the transmission performance analysis of the planetary gear automatic transmission with multiple gears and multiple degrees of freedom, which is more intuitive, accurate and efficient.
Value-Ag: An integrated model for rapid ex-ante impact evaluation of agricultural innovations in smallholder systems

Abstract Evaluation of agricultural Research, Development, Extension and Management requires knowledge of farming systems economics and risk as well as broader adoption drivers. But until now, these factors have not been effectively combined when determining the success of agricultural research projects. To fill this gap, we developed Value-Ag, an integrated modelling platform using whole-farm economic analysis and prediction of the scaling potential in the context of production risk and household dynamics to provide an ex-ante estimate of the benefits of adopting an innovation. In this paper, we use a hypothetical case study to illustrate Value-Ag’s potential to evaluate agricultural innovations in a rigorous, systematic and participatory manner across a range of scenarios, thereby stimulating thinking and learning opportunities with the relevant stakeholders, and increasing the scrutiny of projects so that they deliver greater value for money while fostering a more results-focused culture in developing countries.
Genome Wide Identification, Characterization, and Expression Analysis of YABBY-Gene Family in WHEAT (Triticum aestivum L.)

The small YABBY plant-specific transcription factor has a prominent role in regulating plant growth and developmental activities. However, little information is available about YABBY gene family in Triticum aestivum L. Herein, we identified 21 TaYABBY genes in the Wheat genome database. Then, we performed the conserved motif and domain analysis of TaYABBY proteins. The phylogeny of the TaYABBY was further sub-divided into 6 subfamilies (YABBY1/YABBY3, YABB2, YABBY5, CRC and INO) based on the structural similarities and functional diversities. The GO (Gene ontology) analysis of TaYABBY proteins showed that they are involved in numerous developmental processes and showed response against environmental stresses. The analysis of all identified genes in RNA-seq data showed that they are expressed in different tissues of wheat. Differential expression patterns were observed in not only control samples but also in stressed samples such as biotic stress (i.e., Fusarium graminearum (F.g), septoria tritici (STB), Stripe rust (Sr) and Powdery mildew (Pm), and abiotic stress (i.e., drought, heat, combined drought and heat and phosphorus deficiency), especially at different grain development stages. All identified TaYABBY-genes were localized in the nucleus which implies their participation in the regulatory mechanisms of various biological and cellular processes. In light of the above-mentioned outcomes, it has been deduced that TaYABBY-genes in the wheat genome play an important role in mediating various development, growth, and resistance mechanism, which could provide significant clues for future functional studies.
Susceptibility to Seismic Amplification and Earthquake Probability Estimation Using Recurrent Neural Network (RNN) Model in Odisha, India

The eastern region of India, including the coastal state of Odisha, is a moderately seismic-prone area under seismic zones II and III. However, no major studies have been conducted on earthquake probability (EPA) and hazard assessment (EHA) in Odisha. This paper had two main objectives: (1) to assess the susceptibility of seismic wave amplification (SSA) and (2) to estimate EPA in Odisha. In total, 12 indicators were employed to assess the SSA and EPA. Firstly, using the historical earthquake catalog, the peak ground acceleration (PGA) and intensity variation was observed for the Indian subcontinent. We identified high amplitude and frequency locations for estimated PGA and the periodograms were plotted. Secondly, several indicators such as slope, elevation, curvature, and amplification values of rocks were used to generate SSA using predefined weights of layers. Thirdly, 10 indicators were implemented in a developed recurrent neural network (RNN) model to create an earthquake probability map (EPM). According to the results, recent to quaternary unconsolidated sedimentary rocks and alluvial deposits have great potential to amplify earthquake intensity and consequently lead to acute ground motion. High intensity was observed in coastal and central parts of the state. Complicated morphometric structures along with high intensity variation could be other parameters that influence deposits in the Mahanadi River and its delta with high potential. The RNN model was employed to create a probability map (EPM) for the state. Results show that the Mahanadi basin has dominant structural control on earthquakes that could be found in the western parts of the state. Major faults were pointed towards a direction of WNW–ESE, NE–SW, and NNW–SSE, which may lead to isoseismic patterns. Results also show that the western part is highly probable for events while the eastern coastal part is highly susceptible to seismic amplification. The RNN model achieved an accuracy of 0.94, precision (0.94), recall (0.97), F1 score (0.96), critical success index (CSI) (0.92), and a Fowlkes–Mallows index (FM) (0.95).
Trend and Prevalence of Overweight and Obesity among The Military Population – A Systematic Review

Prevalence of overweight and obesity are escalating globally among the general population. However, there are limited evidence on the trends and prevalence of overweight /obesity in the military setting. Increased rates of injuries, low work productivity, incurred higher healthcare costs and prematurely discharge from service are consequences of overweight/obesity among the military. Therefore, we aimed to systematically describe the trends and prevalence of overweight and obesity in the military population, by regions and military service branches. Databases including PubMed, Scopus, Web of Science and Google Scholar were used. Inclusion criteria were military population (inclusive of all service branches) with BMI reported as the overweight/obesity indicator. Population related to military but not exclusively military personnel such as the retirees, the veterans and their dependents were excluded. From the 27 included studies, 13 were published between year 2010 to 2014 and half were conducted in the United States. Overall, studies showed increasing trend in the prevalence of overweight (30% to 50%) and obesity (2% to 30%); only one study showed a decreasing trend of 0.9% and 0.6% for the prevalence of overweight and obesity respectively. However, the rates of increment differed between countries, where Asian countries demonstrated lower overweight prevalence compared to the United States and the European countries. In conclusion, the military population is not protected from overweight and obesity. Interventions should be implemented to prevent overweight / obesity among the military personnel.
Ocean Acidification From Below in the Tropical Pacific

Identifying ocean acidification and its controlling mechanisms is an important priority within the broader question of understanding how sustained anthropogenic CO2 emissions are harming the health of the ocean. Through extensive analysis of observational data products for ocean inorganic carbon, here we quantify the rate at which acidification is proceeding in the western tropical Pacific Warm Pool, revealing −0.0013 ± 0.0001 year−1 for pH and −0.0083 ± 0.0007 year−1 for the saturation index of aragonite for the years 1985–2016. However, the mean rate of total dissolved inorganic carbon increase (+0.81 ± 0.06 μmol · kg−1 · year−1) sustaining acidification was ~20% slower than what would be expected if it were simply controlled by the rate of atmospheric CO2 increase and transmitted through local air‐sea CO2 equilibration. Joint Lagrangian and Eulerian model diagnostics indicate that the acidification of the Warm Pool occurs primarily through the anthropogenic CO2 that invades the ocean in the extra‐tropics is transported to the tropics through the thermocline shallow overturning circulation and then re‐emerges into surface waters within the tropics through the Equatorial Undercurrent from below. An interior residence time of several years to decades, acting in conjunction with the accelerating CO2 growth in the atmosphere, can be expected to contribute to modulating the rate of Warm Pool acidification.
The changing patterns of international student mobility: a network perspective

ABSTRACT Several studies have shown that international student mobility is uneven; they emphasise the importance of Western developed countries as destinations and reinforce the stereotype of the stability of international student mobility patterns. Considering different theoretical frameworks, this study argues that economic and higher education development in emerging countries and changes in economic ties and political connections between countries have led to new international student mobility patterns. To verify this, social network analysis was applied to explore the evolution of the international student mobility network’s structure from 2001 to 2015. The results show that international student mobility has not been limited to a few Western developed countries, as commonly thought. We found that clustering coefficient of the international student mobility network continuously declined over the study period, and its community differentiation was very significant, indicating that regionalisation became more significant. In fact, the dominance of typical destination countries declined, and some regional hubs emerged rapidly.
Incorporating pragmatic features into power analysis for cluster randomized trials with a count outcome

Cluster randomized designs are frequently employed in pragmatic clinical trials which test interventions in the full spectrum of everyday clinical settings in order to maximize applicability and generalizability. In this study, we propose to directly incorporate pragmatic features into power analysis for cluster randomized trials with count outcomes. The pragmatic features considered include arbitrary randomization ratio, overdispersion, random variability in cluster size, and unequal lengths of follow‐up over which the count outcome is measured. The proposed method is developed based on generalized estimating equation (GEE) and it is advantageous in that the sample size formula retains a closed form, facilitating its implementation in pragmatic trials. We theoretically explore the impact of various pragmatic features on sample size requirements. An efficient Jackknife algorithm is presented to address the problem of underestimated variance by the GEE sandwich estimator when the number of clusters is small. We assess the performance of the proposed sample size method through extensive simulation and an application example to a real clinical trial is presented.
NATIONAL OR LOCAL POLITICAL PARTIES: THE DYNAMICS OF POLITICAL OPTIONS IN 2019 GENERAL ELECTIONS IN ACEH PROVINCE

Purpose of the study: The objective of the study was to describe the distribution of votes for local and national political parties in each electoral district in Aceh Province, Indonesia, especially for local parliamentary elections (Aceh DPRD or DPRA). Methodology: This is a descriptive study with a qualitative approach. Data collection n in this study uses the method of library research and documents (secondary data). Data analysis uses descriptive analysis based on the political behaviour approach. Main Findings: The main findings of this study indicate that the distribution of votes for political parties in the 2019 elections has spread to both local and national parties. If quantified totally, the national party dominates the votes in each electoral district. But if the votes are described based on each political party, it will look different. There are no political parties that strongly dominate the vote. The existence of political parties that have local character or type has the same effect on voters compared to national parties. Applications of this study: The theoretical implication of this study was to strengthen Kaare Strom’s theory about political party behavior. The behavior of political parties in elections is to obtain votes. Novelty/Originality of this study: When national and local political parties compete in general elections, voters do not feel significant differences between the two political parties.
Synthesis and characterization of cationic quaternary ammonium geminis (16–s–16) and their role in ninhydrin–[Cu(II)–His]+ reaction

Abstract Cationic quaternary ammonium gemini surfactants were synthesized by mixing N,N-dimethylcetylamine and α,ω-dibromoalkane. The synthesized products were characterized by C, H, N elemental and 1H NMR analyses. The critical micelle concentration (CMC) of these surfactants with and without additives was calculated by means of the conductivity technique. The role of the synthesized quaternary ammonium geminis in the reaction was investigated by a UV–vis spectroscopy. The rate constant (kψ ) was determined at different gemini concentrations and plotted graphically as kψ vs. [16–s–16]. Additionally, the influence of other reaction parameters (viz., reactants, pH, and temperature) was investigated. The binding constants were also determined (K A for [Cu(II)–His]+ and K B for ninhydrin). The resulting kψ –[16–s–16] plot can be understood in terms of a pseudo-phase model of micelles.