Miracle-dz/UniFAR-FTUs huggingface dataset:
Kernel principal component analysis-based least squares support vector machine optimized by improved grey wolf optimization algorithm and application in dynamic liquid level forecasting of beam pump

Considering the blind parameters selection and the high dimension of input data in least squares support vector machine (LSSVM) modeling process, a kernel principal component analysis (KPCA)-based LSSVM forecasting method optimized by improved grey wolf optimization (GWO) algorithm is proposed. As an excellent forecasting model, the regression forecasting performance of LSSVM is greatly affected by parameters selection of the model. An improved GWO algorithm with better performance is proposed to determine the optimal parameters of LSSVM. This improved GWO algorithm improves the optimization precision and global optimization ability of the standard GWO algorithm. The parameters of LSSVM model are taken as the optimization object that is optimized by improved GWO algorithm. At the same time, the input variables of LSSVM are correlated and redundant. KPCA algorithm can eliminate the correlation and redundancy between input variables. The reduction of input variables reduces the complexity and training time of modeling process, and the coupling between input variables, to improve the prediction accuracy of LSSVM. The dynamic liquid level of beam pump is chosen as the research object. The proposed forecasting method is applied to the prediction of dynamic liquid level. The simulation comparison on actual collected dynamic liquid level data is performed. The simulation results show that the proposed forecasting method has better predictive performance for the dynamic liquid level.
Institutional governance of Chinese private universities: the role of the communist party committee

ABSTRACT The relationship between the state and the university is predominantly shaped at a national level which tends to reflect the specific traditions and circumstances of individual countries. In China the Communist Party has played a crucial role in university governance making it different from any other country. However the role of the Chinese Communist Party (CCP) in universities, particularly in private universities, has rarely been discussed in English literature. This paper examines how the University Communist Committee of the Party (UCCP) is set up and works within private universities, and the various patterns of institutional governance that can emerge. It draws extensively on documents of the CCP and interviews with 32 senior managers on 44 separate occasions. The study shows that while allowing private entrepreneurs considerable freedom to invest in higher education, the CCP still has control over the private universities in their socialist development. This is partly achieved through the requirement that every private university must have a UCCP to oversee the implementation of CCP policies in the university.
An Ultrasensitive Fluorescence Assay for the Detection of Halides and Enzymatic Dehalogenation

Halide assays are important for the study of enzymatic dehalogenation, a topic of great industrial and scientific importance. Here we describe the development of a very sensitive halide assay that can detect less than a picomole of bromide ions, making it very useful for quantifying enzymatic dehalogenation products. Halides are oxidised under mild conditions using the vanadium‐dependent chloroperoxidase from Curvularia inaequalis, forming hypohalous acids that are detected using aminophenyl fluorescein. The assay is up to three orders of magnitude more sensitive than currently available alternatives, with detection limits of 20 nM for bromide and 1 μM for chloride and iodide. We demonstrate that the assay can be used to determine specific activities of dehalogenases and validate this by comparison to a well‐established GC‐MS method. This new assay will facilitate the identification and characterisation of novel dehalogenases and may also be of interest to those studying other halide‐producing enzymes.
Men's experiences of partners' postnatal mental illness

Author Godfrey Muchena, MSc, BSc, Diploma Mental Health Nursing, Dip Ed, RMN, is community mental health nurse, crisis assessment and treatment team, Hertfordshire Partnership NHS Foundation Trust. AbstrAct Muchena, G. (2007) Men’s experiences of partners’ postnatal mental illness. Nursing Times; 103: 48, 32–33. This study explored men’s reactions to fatherhood and their knowledge and attitudes about postnatal mental illness. Men experienced significant psychological trauma when their partners were admitted to the mother-and-baby unit. They also experienced relationship and family problems, chronic sleep deprivation, financial constraints and reduced input at work. In some men, these factors and the psychological trauma combined may easily develop into mental ill health.
Spaceborne Measurements of Formic and Acetic Acids: A Global View of the Regional Sources

Formic (HCOOH) and acetic acids ( CH3 COOH) are the most abundant carboxylic acids in the Earth's atmosphere and key compounds to aqueous‐phase chemistry. Here we present the first distributions of CH3 COOH retrieved from the 2007–2018 satellite observations of the nadir‐looking infrared atmospheric sounding interferometer (IASI), using a neural network‐based retrieval approach. A joint analysis with the IASI HCOOH product reveals that the two species exhibit similar distributions, seasonality, and atmospheric burden, pointing to major common sources. We show that their abundance is highly correlated to isoprene and monoterpenes emissions, as well as to biomass burning. Over Africa, evidence is provided that residual smoldering combustion might be a major driver of the HCOOH and CH3 COOH seasonality. Earlier seasonal enhancement of HCOOH at Northern Hemisphere middle and high latitudes and late seasonal secondary peaks of CH3 COOH in the tropics suggest that sources and production pathways specific to each species are also at play.
Adaptive Robust Dispatch of Integrated Energy System Considering Uncertainties of Electricity and Outdoor Temperature

The integrated energy system (IES) has bright prospects in engineering applications for its excellent performance in energy efficiency and renewable energy consumption. In the IES, the thermal comfort is affected by the heating power, buildings parameters, and outdoor temperatures simultaneously. Therefore, the uncertainty of the outdoor temperature will bring some adverse effects on thermal comfort, which need to be considered in the dispatch decision of the IES. In this article, we propose a day-ahead adaptive robust dispatch model (ARDM) for the IES to make a dispatch plan under the uncertainties of the net electrical-load and outdoor temperature, with the aim of guaranteeing the safe operation of IES and the thermal comfort of end-users. The thermal dynamic characteristics of the district heating network and buildings are utilized to provide operational flexibility and improve economic performance. To decrease the conservatism of dispatch results, the multi-interval uncertainty set is introduced to model the uncertainties. The ARDM model is a two-stage robust optimization with a linear recourse problem, and the column-and-constraint generation method is used to solve it. Two cases of different scale are studied to verify the effectiveness and advantages of the proposed method.
The political and institutional constraints on green finance in Indonesia

ABSTRACT The ADB estimates Asia’s infrastructure needs from 2016 to 2030 will exceed US $26 trillion. This ballooning demand for infrastructure, coupled with rising investor awareness of the importance of sustainable development, is driving the nascent green finance sector. In emerging markets, raising capital for green projects is often the easy part; identifying and implementing suitable projects and structuring the financing is more challenging. This paper draws on the school of institutional economics to analyse the potential of green finance in underwriting renewable energy development in Indonesia. The paper argues that even if there is strong demand on capital markets for green bonds backing clean energy projects, the institutional design of the renewable energy sector has created a misaligned incentive structure for Indonesia’s political class. The paper concludes by discussing Ministerial Regulation 50/2017 which has created a regulatory framework that side-steps some of these constraints.
Entrepreneurial Innovations in Countries at Different Stages of Development

The aim of our paper is to provide a comprehensive picture of the role of innovation within the entrepreneurial ecosystem in certain countries. In this way, we propose the following research question as to what kind of interrelatedness can be observed between the innovation capability of a country and other elements of its entrepreneurial ecosystem. Ninety-five countries have been involved in our analysis, which initially have been grouped by their level of economic development and a group of transition countries has been created as well. In order to measure these relations, the Global Entrepreneurship Index (GEI) was applied. This index measures the qualitative aspects of the entrepreneurial ecosystem in a national context. The index consists of fourteen pillars covering the relevant aspects of the entrepreneurial ecosystem. Out of the pillars, there are three pillars associated with three different aspects of innovation: Technology Absorption, Product Innovation, and Process Innovation. After analyzing the pillars, we conducted a k-means cluster analysis in order to demonstrate whether countries with the same level of development are ranked in a common group if they are clustered by the values of the three innovation pillars. Our results suggest that the quality of the entrepreneurial ecosystem reflects the level of economic development. Regarding the role of innovation, it seems that the innovation-related pillars have an important role within the entrepreneurial ecosystem. Technology Absorption is highly related to the GEI score and the level of economic development since the most developed countries have the highest values for this pillar. While the Product and Process Innovation pillars have a relatively strong relationship with GEI score as well, it seems that a couple of countries have higher pillar values in these innovation-related pillars than the position of their GEI scores would lead one to expect. This may indicate that these countries have relatively good performance in research and development, but other components of their entrepreneurial ecosystem may hamper the exploitation of the results achieved by new firms.
Ten switched‐beams with 2 × 2 series‐fed 2.4 GHz array antenna and a simple beam‐switching network

This article presents a 2 × 2 series fed 2.4 GHz patch antenna array having multiple beam switching capabilities by using two simple 3 dB/90° couplers to achieve required amplitude and phase excitations for array elements with reduced complexity, cost and size. The beam switching performance with consistent gain and low side lobe levels (SLL) is achieved by exciting the array elements from orthogonally placed thin quarter‐wave (λg/4) feeds. The implemented array is capable to generate ten (10) switched‐beams in 2‐D space when series fed elements are excited from respective ports through 3 dB quadrature couplers. The dual polarized characteristics of presented array provide intrinsic interport isolation between perpendicularly placed ports through polarization diversity to achieve independent beam switching capabilities for intended directions. The implemented antenna array on 1.575 mm thick low loss (tan δ = 0.003) NH9450 substrate with εr = 4.5 ± 0.10 provides 10 dB return loss impedance bandwidth of more than 50 MHz. The measured beam switching loss is around 0.8 dB for beams switched at θ = ±20°, Ф = 0°, 90°, and 45° with average peak gain of 9.5 dBi and SLL ≤ −10 dB in all cases. The novelty of this work is the capability of generating ten dual polarized switched‐beams by using only two 3 dB/90° couplers as beam controllers.
The Success of the Registration Information System at University of Belize: Developing Country

Abstract Xenegrade is an online portal, which gives students the ease of registering from anywhere, rather than waiting in a line to do it manually. Xenegrade not only allows signing up of classes but it is a platform for the grades dissemination at the end of each semester and tracking of financial payments. While numerous researches have been conducted geared at utilizing DeLone and McLean’s Information System (IS) success model, the least has been conducted to determine the success of the Registration Information System- Xenegrade at the University of Belize. Besides the six constructs available in DeLone and McLean’s IS model (Information Quality, System Quality, Service Quality, User Satisfaction, Use, and Perceived Net Benefits), two more constructs were added (Complimentary Technology Quality and Computer Self Efficacy) in relation to the Belizean context, a developing country. Thirty-five questionnaires were distributed to students, to aid in the research. The responses received aided in measuring the success or failure of UB’s Xenegrade System.
A Broadband Resonant Noise Matching Technique for Piezoelectric Ultrasound Transducers

A novel resonant noise matching technique is proposed to improve the sensitivity and output SNR of ultrasound receivers. Diverse from the power matching, the resonant noise matching technique proposed in this paper applies resonant LC networks to raise the transducers’ input impedance to a high impedance. As a consequence, in addition to the function of improving the output signal strength, the prominent advantage of the resonant noise matching technique is that the passive gain provided by the matching network can reduce equivalently the receiver’s input-referred noise and thus obtain the minimum noise figure. Furthermore, broadband matching which can cover the transducers’ working bandwidth is also developed to reduce the ringing in received signals, which can significantly improve axial resolution in applications of imaging. For this, an accurate electrical model extended from Butterworth Van-Dyke (BVD) model is obtained to co-simulate with the new matching network in the design. Measurement results show that, the output signal is improved by 5 times through the proposed technique, which is 66.7% larger than that of conventional methods. In addition, the sensitivity of the receiver is significantly improved by more than 10.4 dB which is beneficial for piezoelectric ultrasound transducers in a variety of applications.
Biogas: Olive mill wastewater as complementary substrate of piggery effluent

of a peculiar high organic content piggery effluent by means of the effluent complementarity concept, using OMW as complementary substrate. ABSTRACT: The anaerobic digestion of a peculiar piggery effluent (PE), with a high organic content (93 g/L), was carry out using olive mill wastewater (OMW) as complementary substrate. From the different tested conditions – units containing only PE and the lowest proportion of OMW in the mixture (30% OMW), provided the highest biogas volume of about 780 mL (70% CH 4 ). Comparatively, identical quantities of each substrate ([50%PE+50%OMW]) gener-ates some gas (320 mL, 60% CH 4 ), understood as the result of an adaptation process by the mi-crobial consortium, while the [20%PE+80%OMW] condition provided even less gas volume (120 mL, 6% CH 4 ), probably due to the antimicrobial capacity of the phenolic compounds in OMW, confirming the negative influence of using so high OMW proportion.
Visible Light Activity of Nitrogen-Doped TiO2 by Sol-Gel Method Using Various Nitrogen Sources

In order to improve photocatalytic activities of the pure anatase TiO2 under UV and visible light irradiations, a novel and efficient N-doped TiO2 photocatalyst was prepared by sol-gel method. N-doped titania is prepared using the various nitrogen sources such as: triethylamine, N,N,N’,N’-tetramethylethane-1,2-diamine, ethyldiamine, 1,2-phenylenediamine, propanolamine, and propylenediamine and then the effect of these source on properties of products was investigated. The as-prepared products were characterized by X-ray diffraction (XRD), scanning electron microscopy (SEM), diffuse reflectance spectra (DRS), energy dispersive spectrometry (EDS) and Fourier transform infrared (FT-IR) techniques. Results indicate that the shifting of absorption edge to visible region compare to the pure TiO2, reducing average size of the TiO2 crystallites, enhancing of lattice distortion of Ti, effective separation of photo-induced electron and hole pair, and improvement of pollutant decomposition under UV and visible light irradiations are due to doping of N in titania. The photocatalytic activities of N-doped TiO2 nanoparticles were evaluated using the photodegradation of methyl orange (MO) under the irradiation of UV and visible light and it confirmed that the photocatalytic activity of N-TiO2 is better than the pure TiO2. By comparing the photocatalytic activities of the N-TiO2 with different nitrogen sources, triethylamine with 2 molar ratio was chosen as the optimum.
Keeping salamanders off the streets: evaluating and modifying one of the first US amphibian road tunnels 30 years after installation

Wildlife tunnels are often installed under busy roads to help a variety of animals, from small frogs to bears, safely cross roads that bisect their habitats. One of the first roadway wildlife tunnel systems designed specifically for amphibian use in the USA was installed along Henry Street in Amherst, Massachusetts, in 1987 to protect spotted salamanders (Ambystoma maculatum). These salamanders cross Henry Street during their annual migration to their breeding pools. In recent years, volunteers monitoring the site suggested that salamanders were no longer using the tunnels. To evaluate this concern, we conducted salamander counts in 2016, 2017 and 2018 to quantify tunnel use. In 2016, 11% of observed salamanders used the tunnels—a substantial decrease from 68% in 1988, 1 year after tunnel installation, when the tunnels were last evaluated. Following 2016, we implemented two tunnel modifications: adding a light to the far end of tunnels (2017) and placing a ramp at tunnel entrances to reduce balking (2018). However, salamander tunnel use was not increased significantly by either the light modification or the ramp modification. Previous studies have demonstrated that salamanders prefer minimum tunnel apertures of >0.4 m, so it is likely that the 0.2 m apertures at Henry Street are too small. While many studies have evaluated amphibian tunnel use in laboratory and field settings, ours was one of the first studies to examine tunnel usage data long after initial installation. These long-term data are critical for evaluating factors necessary for maintaining wildlife tunnel effectiveness over decades.
The Effects of Using Synthetic and Natural Color Foods on Lipid Profile and Liver Function in Rats

Today synthetic food dyes are being used most commonly as food colorant in confectionaries for children. Present study was designed to evaluate effect of tartrazine and chocolate brown as a synthetic color and turmeric, cocoa as a natural color on Swiss albino mice. The rats have been fed on color biscuits and after the acclimation period, rats were divided into 7 groups (5 rats each one). Rats treated with dose level 7.5 mg/kg /day (ADI) in tartrazine and turmeric and 0.15 mg/kg /day (ADI) in chocolate brown and cocoa. The study revealed a highly noticeable decrease in the body weight gain, food intake and feed efficiency in synthetic color of mice compared to the control group, the mixture improvement this effects and non-significant with natural color. A significant increase in the average weight of the major organs liver, spleen, heart, pancreas and kidney of the mice has been increased significantly in synthetic color treated groups with tartrazine and chocolate brown. Total cholesterol level, T-lipid, LDL and vLDL were no significant change in all mice administration color foods, but significant increase in T.G with tartrazine and chocolate brown and has significant decrease in HDL-C with tartrazine and chocolate brown. There was a significant increase in the level of ALT, AST and ALP with tartrazine and chocolate brown while compared to control group. The mixture synthetic and natural color improved the results. Bilirubin levels were significantly increased with tartrazine and chocolate brown.
Combinational metamorphic testing in integer vulnerabilities detection

Integer vulnerability is a common and hidden problem of software security. Even mature software written by experienced programmers cannot avoid integer vulnerability. Therefore, it is very important for testers to detect the bugs. However, testing the bugs will face the test oracle problem. As far as we know, the metamorphic testing can effectively alleviate the test oracle problem. In this paper, a method of combinational metamorphic relations (CMR) is proposed, which solves the test oracle problem and is more effective than metamorphic relation for Integer vulnerability detection. A case study results shows that the combinational metamorphic relations are more effective in bugs-detection than the single metamorphic relations.
Automated pulmonary nodule detection system in computed tomography images based on Active-contour and SVM classification algorithm

Lung cancer is a common type of cancer that requires early diagnosis. Computer systems by particular different image processing techniques can use for increase the speed and accuracy of lung nodule detection. CT images used in this work in order to process medical images. In this paper proposed an automatic lung nodule detection algorithm using active contour method and SVM classification method. In proposed method, at first in order to achieve better results, lung CT image pre-processing is performed. Then the lung area is segmented by thresholding method followed by some reconstruction techniques to transfer non-isolated nodules into isolated ones. In the next step the nodule candidates are determined using active contour method. Then, nodules are detected by the support vector machine (SVM) classifier using efficient 2D stochastic and 3D anatomical features. In the result, nodules are detected with an overall detection rate of 87%; the number of false positive is 7.5/scan and the location of all detected nodules are recognized correctly.