Miracle-dz/UniFAR-FTUs huggingface dataset:
N ov 2 01 5 Bi-Hamiltonian Structures of Chaotic Dynamical Systems in 3 D

We study Poisson structures of dynamical systems with three degrees of freedom which are known for their chaotic properties, namely Lü, modified Lü, Chen, T and Qi systems. We show that all these flows admit bi-Hamiltonian structures depending on the values of their parameters. MSC(2010): 34C14, 34C20.
A Color Image Edge Detection Modified Algorithm Based on Quaternion Representation

Image edge detection is very important to the subsequent image segmentation and recognition.Aiming at the actual application of color image edge detection,some characteristics and faults of the traditional edge detecting template are compared and analyzed.A multidirection Sobel edge detection template is proposed.Aiming at the faults of the traditional algorithms,the modified algorithm is proposed with the help of quaternion representation.The essay carries out color image edge detection by decomposing color space.The result shows that the algorithm is effective and simple.The speed of edge detection is improved with the method of quaternion representation.
Investigating the energy security performance, productivity, and economic growth for the EU

Energy is one of the key elements of economies. The maintenance of daily economic activities would not be possible without assurance of energy security, which is also a critical contributor to sustainable energy. The European Union (EU) strives to protect the energy security of its members in order to prevent supply problems or crises. The main purpose of our analysis is to evaluate the energy security of EU countries by analyzing their performance, productivity, and relationship with economic growth. Using hybrid and comparative MCDM and Malmquist productivity approaches, we assess the static and dynamic energy security performance of the EU countries in the period from 2014 to 2018. We use IDOCRIW‐weighted SAW, MARCOS, and CODAS techniques for static performance measurement and the Malmquist productivity approach for dynamic performance evaluation. Considering both static and dynamic performance among developed EU countries, Denmark is found to be superior. Further, the Malmquist productivity index results indicate a slight improvement for developed countries and deterioration for developing countries. According to the panel data analysis, energy security is a factor that leads to economic growth. Consequently, energy efficiency initiatives such as efficiency action plans, hybrid and electric vehicles, and energy storage advancements play crucial roles in enhancing the EU's energy security.
Robust control with linearization technique for interior permanent magnet synchronous motor servo system

An interior permanent magnet synchronous motor(IPMSM) control method is studied for the servo system.Based on the differential geometry theory,the nonlinear system is changed into a linear system with input-output decoupling technique.Then,by the maximum torque per ampere(MTPA) control strategy,the output torque of the servo system is added.And then,A load torque observer is designed to resist the variable load.In the end,Based on the linearization model,a H∞ controller is given.Simultion results show that the direct drive servo system based on decopuling robust control has fast transient responses,good load disturbance resistance response and good tracking responses.
High-Speed Centrifugal Spinning Polymer Slip Mechanism and PEO/PVA Composite Fiber Preparation

Composite nanofibers with excellent physical and chemical properties are widely used in new energy, biomedical, environmental, electronic, and other fields. Their preparation methods have been investigated extensively by many experts. High-speed centrifugal spinning is a novel method used to fabricate composite nanofibers. The slip mechanism of polymer solution flows is an important factor affecting the morphology and quality of composite nanofibers prepared by high-speed centrifugal spinning. As the polymer solution flows, the liquid wall slip occurs inside the nozzle, followed by liquid–liquid interface slip and gas–liquid interface slip. The factors affecting polymer slip were investigated by developing a mathematical model in the nozzle. This suggests that the magnitude of the velocity is an important factor that affects polymer slip and determines fiber quality and morphology. Under the same rotational speed, the smaller the nozzle diameter, the greater the concentration of velocity distribution and the smaller the diameter of the produced composite nanofibers. Finally, PEO/PVA composite nanofibers were prepared using high-speed centrifugal spinning equipment at 900–5000 rpm and nozzle diameters of 0.2 mm, 0.4 mm, 0.6 mm, and 0.8 mm. The morphology and quality of the collected PEO/PVA composite nanofibers were analyzed using scanning electron microscopy (SEM) and TG experiments. Then, the optimal parameters for the preparation of PEO/PVA composite nanofibers by high-speed centrifugal spinning were obtained by combining the external environmental factors in the preparation process. Theoretical evaluation and experimental data were provided for the centrifugal composite spinning slip mechanism and for the preparation of composite nanofibers.
Automatic plant recognition using convolutional neural network on malaysian medicinal herbs: the value of data augmentation

Herbs are an important nutritional source for humans since they provide a variety of nutrients. Indigenous people have employed herbs, in particular, as traditional medicines since ancient times. Malaysia has hundreds of plant species; herb detection may be difficult due to the variety of herb species and their shape and color similarities. Furthermore, there is a scarcity of support datasets for detecting these plants. The main objective of this paper is to investigate the performance of convolutional neural network (CNN) on Malaysian medicinal herbs datasets, real data and augmented data. Malaysian medical herbs data were obtained from Taman Herba Pulau Pinang, Malaysia, and ten kinds of native herbs were chosen. Both datasets were evaluated using the CNN model developed throughout the research. Overall, herbs real data obtained an average accuracy of 75%, whereas herbs augmented data achieved an average accuracy of 88%. Based on these findings, herbs augmented data surpassed herbs actual data in terms of accuracy after undergoing the augmentation technique.
The black hole spins of quasars

Abstract We present the estimates of the black hole spins of five quasars. The peaks of the spectra of the accretion discs surrounding massive black holes in quasars are in the far-UV or soft X-ray band, which are usually not observed. However, in the disc corona model, the soft photons from the disc are Comptonized to high energy in the hot corona, and the hard X-ray spectra (luminosity and spectral shape) contain the information of the incident spectra from the disc. The values of black hole spin parameter a are inferred from the spectral fitting, which spread over a large range, ~ −0.94 to 0.998.
Physicochemical and Microbial Characterization of Treated and Untreated Produced Water

Introduction: The discharge of produced water into the aquatic environment presents a risk to the environment. This is a form of pollution and may release toxicants that are highly noxious to sensitive marine species even at low concentrations, which causes bio-degeneration/transformation and biodiversity loss. Research Gap: There are insufficient literatures on extensive monitoring of the physicochemical and microbial characteristics of produced water. Existing literatures concerning analysis of treated and untreated produced water are not comprehensive with respect to number of physicochemical variables analyzed. Aim: To ascertain if the physicochemical properties and microbial population of produced water were within acceptable regulatoy specifications. Place and Duration of Study: The study was conducted in the Federal University of Petroleum Resources, Effurun, Delta State, Nigeria from July, 2021 – April, 2022. Methodology: Electrical conductivity, dissolved oxygen, pH, temperature, turbidity, total petroleum hydrocarbons, nitrates, phosphates, sulphates and others were assessed using standard methods. Microbial counts were carried out for total heterotrophic bacteria and hydrocarbon utilizing bacteria using the pour plate method. Results: Values obtained for some key physicochemical parameters monitored in the produced water are as follow: pH (8.10±0.03 for untreated and 8.27±0.01 for treated); electrical conductivity (35700±11 µs/cm for untreated and 41600±17 µs/cm for treated); total dissolved solids (22848±14mg/l for untreated and 26629±9mg/l for treated); dissolved oxygen (2.05±0.01mg/l for untreated and 4.23±0.03mg/l for treated); biochemical oxygen demand (28.90±0.7mg/l for untreated and 18.4±0.1mg/l for treated); phosphate (2.05±0.01mg/l for untreated and 4.23±0.03mg/l for treated); nitrate (54.82±1.9mg/l for untreated and 50.21±0.9mg/l for treated); total hydrocarbon content (118.00±0.00mg/l for untreated and 34.00±0.00mg/l); total heterotrophic bacteria (4.1e+04 CFU/ml for untreated and 2.8e+04 CFU/ml for treated); and hydrocarbon utilizing bacteria (2.44e+03 CFU/ml for untreated and 1.58e+03 CFU/ml for treated). Statistical analysis of the produced water showed varying forms of correlation between physicochemical parameters of untreated and treated produced water. Conclusion: It is important to assess properties of produced water before disposal into aquatic environment as chronic impact associated with long-term exposures may pose potential ecological risks.
PCSK9 inhibitor attenuates atherosclerosis by regulating SNHG16/EZH2/TRAF5‐mediated VSMC proliferation, migration, and foam cell formation

Proprotein convertase subtilisin/kexin type 9 (PCSK9) inhibitor has been demonstrated to exert a great cardioprotection in cardiometabolic impairments, including atherosclerosis. However, its underlying mechanism remains not fully understood. This study focuses on uncovering the actions of PCSK9 inhibitor on the connection between atherosclerosis and vascular smooth muscle cell (VSMC) behaviors. qRT‐PCR was utilized to detect the expression of SNHG16. Proliferation and migration of VSMC were characterized by Cell Counting Kit‐8 and wound healing assays. The intracellular lipids and foam cell formation were assessed by Oil Red O staining, fluorescence image, and cholesterol quantification kit. Atherosclerosis in vivo was evaluated by imaging the atherosclerotic lesions, hematoxylin‐eosin staining, Oil Red O staining and Masson staining. The interaction between SNHG16 with EZH2 and histone H3 lysine 27 trimethylation (H3K27me3) were investigated by fluorescence in situ hybridization, RNA immunoprecipitation, and chromatin immunoprecipitation assays. A ApoE−/− mice model was used to validate the role of PCSK9 inhibitor and SNHG16 for atherosclerosis. The protective regulation of PCSK9 inhibitor was observed both in high‐fat diet (HFD)‐fed mice and oxidized low‐density lipoprotein (ox‐LDL)‐treated VSMC, as manifested in the decreased the atherosclerotic lesions in vivo, as well as the weakened cell proliferation, migration, and formation of foam cells in vitro. SNHG16 was identified to be a downstream effector of PCSK9 inhibitor‐mediated biological functions, of which knockdown also significantly ox‐LDL‐treated VSMC proliferation, migration, and foam cell formation abilities. SNHG16 epigenetically suppressed TRAF5 via recruiting EZH2. Silencing of TRAF5 abolished the protective effects of SNHG16 knockdown on the pathogenesis of atherosclerosis. Collectively, PCSK9 inhibitor attenuated atherosclerosis by regulating SNHG16/EZH2/TRAF5 axis to impair the proliferation, migration, and foam cell formation of VSMC.
On the controllability of the roll rate of the ALFLEX reentry vehicle

The objective is to show, in a simplified mathematical model of the ALFLEX reentry vehicle, that it is possible to recover with a single maneuver a zero roll rate equilibrium state from a high roll rate state into which the vehicle has accidentally fallen during its final approach and landing phase. For this purpose, bifurcation analysis is undertaken along different equilibrium contours and it is shown that some unstable equilibrium states are very sensitive to the perturbations and to the change of the control surface angles. For the asymptotically stable zero roll rate equilibrium states the domains of attraction are estimated. Using the domain of attraction of a particular asymptotically stable zero roll rate equilibrium state, it is shown that "any" high roll rate state can be transferred to this equilibrium state by a single maneuver.
Performance of the Goddard multiscale modeling framework with Goddard ice microphysical schemes

The multiscale modeling framework (MMF), which replaces traditional cloud parameterizations with cloud‐resolving models (CRMs) within a host atmospheric general circulation model (GCM), has become a new approach for climate modeling. The embedded CRMs make it possible to apply CRM‐based cloud microphysics directly within a GCM. However, most such schemes have never been tested in a global environment for long‐term climate simulation. The benefits of using an MMF to evaluate rigorously and improve microphysics schemes are here demonstrated. Four one‐moment microphysical schemes are implemented into the Goddard MMF and their results validated against three CloudSat/CALIPSO cloud ice products and other satellite data. The new four‐class (cloud ice, snow, graupel, and frozen drops/hail) ice scheme produces a better overall spatial distribution of cloud ice amount, total cloud fractions, net radiation, and total cloud radiative forcing than earlier three‐class ice schemes, with biases within the observational uncertainties. Sensitivity experiments are conducted to examine the impact of recently upgraded microphysical processes on global hydrometeor distributions. Five processes dominate the global distributions of cloud ice and snow amount in long‐term simulations: (1) allowing for ice supersaturation in the saturation adjustment, (2) three additional correction terms in the depositional growth of cloud ice to snow, (3) accounting for cloud ice fall speeds, (4) limiting cloud ice particle size, and (5) new size‐mapping schemes for snow and graupel. Despite the cloud microphysics improvements, systematic errors associated with subgrid processes, cyclic lateral boundaries in the embedded CRMs, and momentum transport remain and will require future improvement.
Experimentally Derived Luminous Efficiencies for Aluminum and Iron at Meteoric Speeds

Calculating meteoroid masses from photometric observations relies on prior knowledge of the luminous efficiency, a parameter that is not well characterized; reported values vary by several orders of magnitude. We present results from an experimental campaign to determine the luminous efficiency as a function of mass, velocity, and composition. Using a linear electrostatic dust accelerator, iron and aluminum microparticles were accelerated to v > 10 km/s and ablated, and the light production measured. The luminous efficiency of each event was calculated and functional forms fit for each species. For both materials, the luminous efficiency is lowest at low velocities, rises sharply, then falls as velocity increases. However, the exact shape and magnitude of the curve is not consistent between the materials. The difference between the luminous efficiencies for iron and aluminum, particularly at high velocities, indicates that it is not sufficient to use the same luminous efficiency for all compositions and velocities.
Generating Functions for Products of Special Laguerre 2D and Hermite 2D Polynomials

The bilinear generating function for products of two Laguerre 2D polynomials Lm;n(z; z0) with different arguments is calculated. It corresponds to the formula of Mehler for the generating function of products of two Hermite polynomials. Furthermore, the generating function for mixed products of Laguerre 2D and Hermite 2D polynomials and for products of two Hermite 2D polynomials is calculated. A set of infinite sums over products of two Laguerre 2D polynomials as intermediate step to the generating function for products of Laguerre 2D polynomials is evaluated but these sums possess also proper importance for calculations with Laguerre polynomials. With the technique of SU(1; 1) operator disentanglement some operator identities are derived in an appendix. They allow to calculate convolutions of Gaussian functions combined with polynomials in one- and two-dimensional case and are applied to evaluate the discussed generating functions. Keywords: Laguerre and Hermite polynomials, Laguerre 2D polynomials, Jacobi polynomials, Mehler formula, SU(1; 1) operator disentanglement, Gaussian convolutions.
Biodegradation of imidacloprid in liquid media by an isolated soil bacteria Cytobacillus firmus strain VG5

Imidacloprid (IMI), a neonicotinoid-class synthetic organic insecticide has the potential to have a negative influence on ecosystems and human health, and it has been identified as an emerging pollutant in all parts of the world in recent years. Microbial degradation is an efficient, clean and environmentally acceptable technique over physical and chemical methods for the bioremediation of organic contaminants like IMI. Our aim was to evaluate the ability of soil isolate Cytobacillus firmus strain VG5 to degrade IMI in MSM medium with glucose as a co-substrate. In liquid media, degradation was initially confirmed by nitrate reduction test. VG5 reduced IMI into guanidine with the removal of NO2- group and showed up to 87% degradation in 7 days. Spots with different Rf values on TLC sheet were identified by HPLC and GC-MS/ MS techniques as imidacloprid guanidine and 6-chloronicotinic acid based on respective standard spectra and m/z ratio. Strain VG5 showed potential to reduce pesticide pollution and further studies should be conducted to understand the degradation mechanism of IMI in soil under in- situ conditions.
An Overview of Reviews on the Effects of Acceptance and Commitment Therapy (ACT) on Depression and Anxiety

Objective: Emotional disturbances are the most common mental health problems in different populations and societies. We intend to provide the latest evidence related to the effectiveness of Acceptance and Commitment Therapy (ACT) on depression and anxiety by reviewing systematic review and meta-analysis studies published in the last three years. Method : PubMed and Google Scholar databases were systematically searched between January 1, 2019 and November 25, 2022 with relevant keywords for English systematic review and meta-analysis articles reviewing the utilization of ACT to reduce anxiety and depression symptoms. Results: 25 articles were included in our study: 14 systematic review and meta-analysis studies and 11 systematic reviews. These studies have investigated the effects of ACT on depression and anxiety in populations of children or adults, mental health patients, patients with different cancers or multiple sclerosis, people with audiological problems, parents or caregivers of children with mental or physical illnesses as well as normal people. Furthermore, they have examined the effects of ACT in individual, group, Internet, computerized, or combined delivery formats. Most of the reviewed studies reported significant effect sizes (small to large effect sizes) of ACT, regardless of the delivery method, compared to passive (placebo, waitlist) and active (treatment as usual and other psychological interventions except cognitive behavioral therapy (CBT)) controls for depression and anxiety. Conclusion: Recent literature mainly agrees on the small to moderate effect sizes of ACT on depression and anxiety symptoms in different populations.
Extended phase matching properties of periodically poled potassium titanyl phosphate isomorphs

We theoretically investigate the properties of extended phase-matching (EPM) for spontaneous parametric down-conversion (SPDC) in four kinds of potassium titanyl phosphate isomorphs (i.e., KTiOPO4, KTiOAsO4, RbTiOPO4, and RbTiOAsO4 crystals). The technique is based on Type II 2nd-order nonlinear optic interaction in periodically poled ferroelectric domain structures, where a single photon with a frequency of 2ω generates a pair of photons with frequencies of ω that are orthogonally polarized with respect to each other. Under EPM, both quasi-phase matching (QPM) and group velocity (GV) matching between interacting waves are efficiently satisfied for the generation of a pair of polarization-entangled bi-photon states with frequencies of ω. Our simulation results show that the generated photon pairs have broad spectral bandwidths of over 69 - 95 nm in tele-communication bands, which are much broader than those of the typical non-EPM case (e.g., ~ sub-nm bandwidth when only the QPM, not the GV matching, is achieved). We will describe the EPM properties of the four kinds of KTP isomorphs in terms of interaction type, GV matching wavelength, domain poling period, and spectral bandwidth. We highlight that the KTP isomorphs have nice potential as suitable components for constituting new quantum information processing systems.
Effective Domain Decomposition MeshlessFormulation Of Fully-viscous IncompressibleFluid Flows

An effective and efficient domain decomposition meshless solution methodology for fully-viscous incompressible fluid flow problems is presented in this paper. The formulation is based on a time-progression decoupling of the equations using a Helmholtz potential. The domain decomposition approach reduces the conditioning numbers of the resulting algebraic systems while increasing efficiency of the solution process and decreasing memory requirements, in addition to rendering the method ideally suited for parallel implementation. Numerical examples are presented to validate the approach by comparing the meshless solutions to Finite Volume Method (FVM) solutions provided by a commercial CFD solver.
A Closer Look at Fringe Benefits for Faculty

Despite the magnitude and variety of benefits paid to faculty, there has been little attention given to these benefits. It is important to evaluate how and why faculty benefits vary by institution. In this study, I focused on the levels of benefits provided by four-year institutions to faculty. The study relied on institution-level data from NCES and the AAUP on faculty salaries and benefits spanning the period from 1980 to 2021. Separate analyses were conducted for retirement benefits, health benefits, and total benefits, with the time periods for specific analyses depending on data availability which varied over this time frame. Overall, the study documents how faculty benefits have changed over time, and whether benefits in dollar and percentage terms were related to selected characteristics of the faculty and the institutions where they work.