Miracle-dz/UniFAR-FTUs huggingface dataset:
Spectra and Thermogravimetric Characteristics of the Mineral Oil Mixed with Natural Ester Oil-paper Insulation Thermal Aging

In order to compare the spectra and thermogravimetric characteristics of mineral oil mixed with natural ester oil-paper insulation (mixed oil-paper insulation) and mineral oil-paper insulation,the thermal aging test of mineral oil-paper insulation and mixed oil-paper insulation under 110°C were performed for 264 days. The ultraviolet-visible (UV) spectroscopy of the insulation oils,the Fourier transform infrared (FT-IR) spectroscopy of the aged papers,and the thermogravimetry (TG) of the oils and papers at different aging degree in both oil-paper insulations were studied. The results show that:compared with mineral oil,the mixed oil can restrain the aging of paper. The sharp increase moment of the 424nm UV absorption peaks corresponds to each other in this two oil-paper insulations. The react of hydroxy on the cellulose with fatty acids in mixed oil-paper insulation can inhibit the aging of paper. The thermal degradation rate of mixed oil-paper insulation is slower than that of mineral oil-paper insulation.
Optimal Structure and Size of Multi-segment Soft Robotic Arms with Finite Element Method

Pneumatic actuate of multi-segment soft robotic arm is a significant structure and has extensive applications. However, the study of the optimal structure and size of multi-segment soft robotic arm has not been achieved. In this study, the finite element method is used to optimized the structure and size of soft robotic arm. We report that the two-segment structure of soft robotic arm has better performance for the general manipulator operation task through evaluating bending angles with different structures and parameters. The optimal ratio of the total length of non-cavity section to the total length of the soft robotic arm with two-segment is 0.21. And soft robotic arm performs better when the length of the fixed first section, the linkage section between two cavity sections and the end section are equal. Two cavities in each segment has more advantages in tasks of plane bending, while three cavities structure has better adaptability when the task need bend in the space. These results in this study provide a reference and simplify the process for the structure and size design of the multi-segment soft robotic arm in the future.
Isolated Single-Atomic Ru Catalyst Bound on a Layered Double Hydroxide for Hydrogenation of CO2 to Formic Acid

In order to achieve an economical CO2-mediated hydrogen energy cycle, the development of heterogeneous catalysts for CO2 hydrogenation to formic acid is an urgent and challenging task. In this study, a stable and well-defined single-site Ru catalyst on the surface of a layered double hydroxide (LDH) in a basic medium is proven to be efficient for selective hydrogenation of CO2 to formic acid under mild reaction conditions (2.0 MPa, 100 °C). The electron-donating ability of triads of basic hydroxyl ligands with a particular location is crucial for an active electron-rich Ru center. There is a strong correlation between catalytic activity and adjustable CO2 adsorption capacity in the vicinity of the Ru center. Such electronic metal–support interactions and a CO2 concentration effect result in a significant positive influence on the catalytic activity.
A Lagrangian study of the contribution of the Canary coastal upwelling to the nitrogen budget of the open North Atlantic

Abstract. The Canary Current System (CanCS) is a major eastern boundary upwelling system (EBUS), known for its high nearshore productivity and for sustaining a large fishery. It is also an important but not well quantified source of nitrogen to the adjacent oligotrophic subtropical gyre of the North Atlantic. Here, we use a Lagrangian modeling approach to quantify this offshore transport and investigate its timescales, reach and contribution to the fueling of productivity in the offshore regions. In our Lagrangian model, we release nearly 10 million particles off the northwestern African coast and then track all those that enter the nearshore region and upwell along the coast between 14 and 35∘ N. We then follow them as they are transported offshore, also tracking the biogeochemical transformations, permitting us to construct biogeochemical budgets along the offshore moving particles. The three-dimensional velocity field as well as the biogeochemical tracers and fluxes are taken from an eddy-resolving configuration of the Regional Ocean Modeling System (ROMS). Our Lagrangian model analysis reveals a very intense offshore transport of nitrogen, with about 20 %–40 % in the form of organic nitrogen. The transport varies greatly along the coast. Even though the central CanCS (21–28∘ N) transports the largest amount of water offshore, its offshore transport of nitrogen is somewhat smaller than that in the southern CanCS (14–21∘ N), primarily because of the higher nitrogen content of the upwelling waters there. Around one-third of the total offshore transport of water occurs around major capes along the CanCS. The persistent filaments associated with these capes are responsible for an up to 4-fold enhancement of the offshore transport of water and nitrogen in the first 400 km. Much of this water and nitrogen stems from upwelling at quite some distance from the capes, confirming the capes' role in collecting water from along the coast. North of Cape Blanc and within the first 500 km from the coast, water recirculation is a dominant feature of offshore transport. This process, likely associated with mesoscale eddies, tends to reduce the efficiency of offshore transport. The Canary upwelling is modeled to supply around 44 and 7 mmol N m−2 yr−1 to the North Atlantic Tropical Gyral (NATR) and the North Atlantic Subtropical Gyral East (NASE) Longhurst provinces, respectively. In the NATR, this represents nearly half (53 ± 26 %) of the estimated total new production, while in the NASE, this fraction is small (4 ± 2 %). Our results highlight the importance of the CanCS upwelling as a key source of nitrogen to the open North Atlantic and stress the need for improving the representation of EBUS in global coarse-resolution models.
Modeling on Effect of Particle Sediment on Fluid Flow and Heat Transfer of Solid–Fluid Suspension

A two-way coupling particle flux model is proposed for studying the multi-component solid–fluid suspension. The suspension mixture is treated as a non-linear single-phase fluid and the migration of the solid particles is modeled by a particle flux equation. The proposed particle flux model takes the effects of the particle migration on the transport of the suspension’s momentum and internal energy into account. Two benchmark problems are calculated to study the performance of the proposed particle flux model, i.e., flow in a sudden expansion straight channel and flow between two rotating cylinders. It is found that the particle flux model converges without numerical stability issue with the commonly used PISO-SIMPLE transient solver, and the effect of the particle migration is evident on both velocity profile and temperature distribution.
Diagnosis of Diabetes Mellitus Based on 11 Health Risk Factors using Backpropagation

Diabetes Mellitus (DM) is a non-communicable disease and is a severe chronic illness. Early detection of DM is one way to detect the possibility of someone getting DM. This application was made to determine the accuracy of the diagnosis of DM using backpropagation ANN. There are 11 risk factors used, namely gender, smoker or not, heredity, systolic blood pressure, diastolic blood pressure, total cholesterol levels, HDL (High-Density Lipoprotein) levels, LDL (Low-Density Lipoprotein) levels, triglyceride levels, BMI (Body Mass Index), and HBA1c levels (Hemoglobin A1c). Risk factors are taken based on medical records of DM patients and data on healthy people. The training and testing of artificial neural networks showed promising results for the suitability of network output and desired targets with a correlation coefficient of 0.98043. The results of testing showed promising results for network output and target match desired with a correlation coefficient of 0.97894.
Construction of a Genetic Linkage Map based on SSR Markers and Identification of QTLs Related to β-carotene, Dry Matter and Starch Content in Sweet Potato(Ipomoea batatas L. Lam)

Sweet potato (Ipomoea batatas (L.) Lam) is a vegetatively propagated, highly heterozygous and outcrossing dicotyledonous crop (Woolfe, 1992). Over 80% of global sweet potato production occurs in the developing world, particularly in Africa and Asia. The importance of sweet potato as a food, feed, and nutrition and income security crop is widely recognized (FAOSTAT, 2017). Sweet potato breeding has relied on the ability of breeders to identify parental genotypes possessing desirable traits and to combine these parents through hybridization schemes such as the polycross and controlled cross International Journal of Current Microbiology and Applied Sciences ISSN: 2319-7706 Volume 10 Number 01 (2021) Journal homepage: http://www.ijcmas. com
Trends in Growth Modeling in Fisheries Science

Growth models estimate life history parameters (e.g., growth rates and asymptotic size) that are used in the management of fisheries stocks. Traditionally in fisheries science, it was common to fit one growth model—the von Bertalanffy growth model—to size-at-age data. However, in recent years, fisheries science has seen an increase in the number of growth models available and the evaluation of multiple growth models for a given species or study. We reviewed n = 196 peer-reviewed age and growth studies and n = 50 NOAA (National Oceanic and Atmospheric Administration) regional stock assessments to examine trends in the use of growth models and model selection in fisheries over time. Our results indicate that the total number of age and growth studies increased annually since 1988 with a slight proportional increase in the use of multi-model frameworks. Information theoretic approaches are replacing goodness-of-fit and a priori model selection in fisheries studies; however, this trend is not reflected in NOAA stock assessments, which almost exclusively rely on the von Bertalanffy growth model. Covariates such as system (e.g., marine or fresh), location of study, diet, family, maximum age, and range of age data used in model fitting did not contribute to which model was ultimately the best fitting, suggesting that there are no large-scale patterns of specific growth models being applied to species with common life histories or other attributes. Given the importance and ubiquity of growth modeling to fisheries science, a historical and contemporary understanding of the practice is critical to evaluate improvements that have been made and future challenges.
Fundus changes in high myopic Kashmiri population

Address for Correspondence: Dr. Numrah Muqsit, Senior Resident, Department of Ophthalmology, GMC, Srinagar, JammuandKashmir, India. Pin:190010. Mobile: +91-7006488104. E-mail: muxit6@hotmail.com Background: High myopia (defined as myopia of -6D or more) is one of the main causes of visual impairment worldwide. High myopia is always accompanied by pathological structural changes such as axial elongation, posterior staphyloma, lacquer crack formation, thinning of the retina and choroid, and choroidal neovascularization. Aims and Objectives: The purpose of this study was to examine the fundus changes in eyes with high myopia. Materials and Methods: All study participants underwent dilated fundus examination and fundus photography. Myopia-related macular (posterior staphyloma, lacquer cracks, Fuchs spot, myopic chorioretinal atrophy, and myopic choroidal neovascularization)and optic disc (optic nerve head tilt,optic disc dimensions, and peripapillary atrophy) changes were evaluated. Results: Statistical analysis was performed to evaluate fundus changes in eyes with high myopia. Data analysis included 107 eyes of 57 patients.Mean ± SE was 12.07 ± 3.184D in eyes with high myopia. Mean ± AL was 26.68± 1.577mm in eyes with high myopia. The mean age was 28.54 ± 9.44 years(14-50 years). Fundus changes were: Temporal crescent in 56 (52.33%) eyes, tessellated fundus appearance in 52(48.59%) eyes, lacquer cracks in 40 (37.38%) eyes, tilted disc in 30 (28%) eyes, lattice degeneration in 20(18.69%) eyes, posterior staphyloma in 20(18.69%) eyes, focal chorioretinal atrophy in 3 (2.8%) eyes. CNV in 2 (1.86%)eyes and retinal hole in 1(1%) eye. Conclusions: Tessellated fundus and temporal crescent were the most common fundus findings among Kashmiri population with high myopia. In this population, lacquer cracks and tilted disc were also common, while CNV and retinal holes were rare.
Interactive Artificial Intelligence Meets Game Theory in Next-Generation Communication Networks

Next-generation communication networks can provide high capacity, low latency, and massive connections; however, they introduce novel challenges of management complexity, and traditional mathematical methods cannot well characterize the rational behavior of users. In this article, we pay attention to the methods of artificial intelligence (AI) and game theory. We first review the applications of machine learning (ML) and game theory models in wireless communications and summarize their advantages and disadvantages. After surveying the state of the art, in this article we propose a novel framework combining ML and game theory, which explores and exploits the benefits of the two disciplines. Finally, we apply our novel framework to solve the network selection problem in a 5G ultra-dense and heterogeneous network. Simulation results confirm the advantage of our presented framework on reducing the average delay of users.
A Fast and Effective Multiple Kernel Clustering Method on Incomplete Data

: Multiple kernel clustering is an unsupervised data analysis method that has been used in various scenarios where data is easy to be collected but hard to be labeled. However, multiple kernel clustering for incomplete data is a critical yet challenging task. Although the existing absent multiple kernel clustering methods have achieved remarkable performance on this task, they may fail when data has a high value-missing rate, and they may easily fall into a local optimum. To address these problems, in this paper, we propose an absent multiple kernel clustering (AMKC) method on incomplete data. The AMKC method first clusters the initialized incomplete data. Then, it constructs a new multiple-kernel-based data space, referred to as K -space, from multiple sources to learn kernel combination coefficients. Finally, it seamlessly integrates an incomplete-kernel-imputation objective, a multiple-kernel-learning objective, and a kernel-clustering objective in order to achieve absent multiple kernel clustering. The three stages in this process are carried out simultaneously until the convergence condition is met. Experiments on six datasets with various characteristics demonstrate that the kernel imputation and clustering performance of the proposed method is significantly better than state-of-the-art competitors. Meanwhile, the proposed method gains fast convergence speed.
Simplified Indirect Estimation of Pump Flow Discharge: An Example from Serbia

In the absence of a flowmeter or due to its inaccuracy, the flow rate at the discharge section of the pipeline following the observed pump can be roughly estimated if the pressure can be measured instead. To use the proposed procedure two main conditions should be achieved: (1) a manometer should be installed at the discharge pipeline between the pump and the flow regulation valve, and (2) the actual curve that relates pressure and flow for the observed pump unit should be known in advance. The described example is from Serbia, but it is of interest for any water pumping station with a submersible pump (installed in wells or tanks) where a limited number of adequate places for the measuring of flow are available (if any are available at all), but where the pressure at the discharge pipe of the observed pump can be measured. This simplified method can find applicability in installations in remote rural regions where limited resources are available. The results show that the calculated values of the flow obtained by the presented method deviate greatly in relation to the measured values provided by the portable ultrasonic flowmeter, up to 60% at one of the measuring points. However, in relation to the measured values provided by the permanently installed flowmeter the discrepancy is significantly lower (0.6–6.8%).
β-ecdysone content and antioxidant capacity in different organs of Brazilian ginseng

ABSTRACT: Plants that contain antioxidant compounds have attracted increasing interest for their vital role in the attenuation of oxidative damage caused by free radicals and in the treatment of various diseases. The present study investigated the β-ecdysone content and the antioxidant activity of Brazilian ginseng (Pfaffia glomerata) extracts obtained from inflorescences, stems, and roots. The P. glomerata extracts were tested for antioxidant activity using the 2,2-diphenyl-1-picrylhydrazyl (DPPH) radical scavenging method, β-carotene bleaching test, and phosphomolybdenum method. The β-ecdysone content of P. glomerata extracts was measured by high-performance liquid chromatography (HPLC). The P. glomerata inflorescences showed the strongest DPPH radical scavenging activity and the strongest antioxidant activity in the β-carotene bleaching assay and phosphomolybdenum test. The roots showed the lowest antioxidant capacity in all of the assays. The concentration of β-ecdysone in the plant organs followed the following decreasing order: inflorescences > stems > roots. The present study showed that P. glomerata inflorescence extract had high antioxidant capacity that could be attributed to the presence of β-ecdysone.
Long–Term Trends and Variations in Surface Humidity and Temperature in the Japanese Archipelago over 100 years from 1880s

The surface meteorological data in Japan, beginning around the 1880s, archived by the Japan Meteorological Agency are analyzed focusing on the long–term trends and variations in humidity and temperature. It is found that the annual–mean temperature trend exhibits statistically significant warming of 1.0 – 2.5°C century for most stations, while the annual–mean relative humidity shows significantly decreasing trend of −2 % to −12 % century for most stations with small seasonality. On the other hand, the annual–mean mixing ratio trend displays a different spatial distribution compared to the temperature or relative humidity trend. In this study, three types of trends exist: significantly positive and negative values, and virtually zero. Significantly negative trends of about −0.2 g kg to −0.3 g kg century are located approximately in the Pacific side of Honshu from the middle Tohoku through Shikoku to the eastern Kyushu. Significantly positive trends of about 0.2 g kg to 0.4 g kg century are observed over Hokkaido, the western Japan along Sea of Japan, the western Kyushu, and the remote islands including Okinawa. The overall pattern is similar for other seasons except for most of the remote islands in winter. Empirical orthogonal function (EOF) analysis indicates that the linear trends in the annual–mean temperature and relative humidity can be almost explained by the nearly uniform persistent warming and drying of EOF–1 components. On the other hand, for the annual–mean mixing ratio, EOF–2 is almost identical with the linear trend component, although the fraction of EOF–2 (14 %) is much smaller than that of EOF–1 (49 %). In recent years from 1960 to 2018 the mixing ratio and temperature trends are very different from those in the longer period from the 1880s. The mixing ratio trend and the temperature trend increase on average from 0.0 g kg to 0.5 g kg century and from 1.5°C to 2.5°C century, respectively
Research on Active Thermal Control: Actual Status and Future Trends

The trend toward integrating power electronic converters and pushing their device utilization toward physical limits puts the spotlight on the junction temperature of the devices. The physical limits of power density are directly tied to the maximum junction temperature and junction temperature cycles that are considered as the root cause of the aging and, finally, the failure of the device. Therefore, manipulating the junction temperature with smart control algorithms is a promising method to enhance the power density and the lifetime of future converter systems. To address these opportunities, recent research proposed methods that increase the overload capability, reduce thermal cycles, balance thermal stress, and share thermal loading of power converters. This article systematically analyzes the fundamental principle and the key objective of these methods and discusses their limitations and potential. Based on this discussion, it highlights important challenges, such as thermal state variable extraction, nonlinear aging, and minimizing the impact on system operation. These challenges must be addressed by future research to make active thermal control a key enabler of a smart power converter with superior power density and reliability.
Thematic development of research on patient safety: An analysis with the science mapping technique

A large amount of scientific literature is forcing those who want to study the subject deeply. In general, the number of articles available exceeds thousands. It has become challenging both to dominate the current concept and to see the relationships between the developments that feed the concept. Visualization techniques based on bibliometric data help to gain an overview of the literature on complex research topics. The aim of this study is to examine the topic of “patient safety” with a bibliometric analysis program. The data of 8372 articles obtained from the Web of Science database were analyzed with SciMAT2 software. Before the analysis, general findings regarding the raw data were brought to the fore. The strategic diagram and thematic development map have been analyzed in terms of 10-year periods covering the past 30 years. Five motor themes (“contrast agent,” “adverse events,” “program,” “safety,” “prostatectomy”) were identified in 1990-1999, four motor themes (“infection control,” “hospital-acquired infections,” “adverse drug events,” “culture”) in 2000-2009 and nine motor themes (“patient safety,” “education,” “climate,” “system,” “mortality,” “operating room,” “validity,” “burnout,” “primary care”) in 2010-2019. The number of motor themes increased during the period and adverse events, which were the active subjects of the early periods, were replaced by new concepts (such as climate, primary care, and burnout) over time. Bibliometric visualization tools make it possible to analyze the literature consisting of a large number of articles. This approach facilitates a person’’s understanding of a complex research topic such as patient safety and ensures that they are aware of new research directions or alternative research priorities.