Miracle-dz/UniFAR-FTUs huggingface dataset:
Critical Success Factors for ERP System Implementation to Support Financial Functions

Implementation of Enterprise Resource Planning (ERP) systems is a complex technological and organisational business undertaking that requires the knowledge of a process approach to overcome its implementation constraints. The purpose of this study is to determine those factors that are considered critical for successful implementation of an ERP system within the financial system of an organisation. To achieve this, it is necessary to first identify common factors impacting on ERP system implementation and thereafter ascertain whether those identified factors are applicable in different organisation settings with particular emphasis on a financial system. With these factors forming precursor, this study plans a comprehensive exploration of an ERP system implementation that supports financial business process within the context of a financial sector to uncover critical factors for success. In aggregate, 205 Critical Success Factors (CSFs) have been identified from 127 studies from which 20 factors are presented in this paper. The most cited factors are then ranked based on median statistics to select top 6 CSFs that are succinctly discussed within the context of a financial system.
Ozone prediction based on support vector machine

The prediction of tropospheric ozone concentrations is very important due to negative effects of ozone on human health, atmosphere and vegetation. Ozone Prediction is an intricate procedure and most of the conventional models cannot provide accurate prediction. Machine Learning techniques have been widely used as an effective tool for prediction. This study is investigating the implementation of Support vector Machine-SVM to predict Ozone concentrations. The results show that the SVM is capable in predicting ozone concentrations with acceptable level of accuracy. Sensitivity analysis has been conducted to show what is the most effective parameters on the proposed model .
Direct-write electrospinning of highly-loaded ceramic slurries for additive manufacture

Ceramics are desirable materials for a range of mechanical, electrical and biomedical applications, but they can be difficult to form and process. Additive manufacture is increasingly being explored for producing ceramic parts without moulds. In this work, a method for controllably patterning filaments containing high volume fractions of ceramic particles was explored, using electrospinning as the deposition method. Inks containing 50 vol% alumina powder in mineral oil or wax were deposited from a 200 μm inner diameter blunt, grounded needle at distances from 0.5 to 5.0 mm from a conductive plate with positive voltages of up to 10 kV applied to it. For the oil-based ink, jets with widths down to 25 μm were produced and an empirical relationship between the minimum jet width, nozzle height, flow rate and voltage was established. An average electric field of 2.0-2.5 kV/mm was found to give the most stable jets. The substrate speed was found to have a major effect on the jet width and entirely determine the deposit diameter due to the ink still being molten upon impact, as predicted by thermal modelling. Patternable features were explored with the wax-based ink. It was found that filaments deposited within 0.5 mm of each other would be attracted together and that the ability to bridge gaps was limited. Sharp corners were rounded to a radius of 0.4 mm, with deviations up to 2 mm from the corner. Investigation was constrained by the speeds achievable with the motion platform used, resulting in filament diameters around 100 μm. Several lattices produced by this process were successfully sintered to pure alumina, although little consolidation was achieved and the filaments were very porous. These samples had approximately 15 % of the strength expected if they were made of solid alumina.
Formulating rations with the Pearson square method

The Pearson square or box method of balancing rations is a simple procedure that has been used for many years. It is of greatest value when only two ingredients are to be mixed. In taking a close look at the square, one observes several numbers in and around the square. Probably one of the more important numbers is the number that appears in the middle of the square. This number represents the nutritional requirement of an animal for a specific nutrient. It may be crude protein or TDN, amino acids, minerals or vitamins.
Switching the soft shearing mode orientation in Ni–Mn–Ga non-modulated martensite by Co and Cu doping

Resonant ultrasound spectroscopy measurements and density functional theory calculations were used to analyze the effect of Co and Cu doping (3–6 at. %) on elastic constants of non-modulated martensite of the Ni–Mn–Ga ferromagnetic shape memory alloy. Due to the doping, the studied alloys exhibited decreased tetragonal ratios c/a ≈ 1.14. Both the experiments and the calculations revealed that the lowering of the c/a ratio resulted in a change of the orientation of the softest shearing modes of the tetragonal lattice. The newly appearing softest shearing modes for the doped materials have approximately { 1 / a 0 1 / c } bct 〈 − 1 / a 0 1 / c 〉 bct orientations and indicate a lattice instability directly related to the particularly low twinning stress for compound { 101 } 〈 1 ¯ 01 〉 twins, needed for the magnetically induced reorientation.
An Examination of Rates, Rank, Advancement, and Salary of Women Faculty in COAMFTE-Accredited Training Programs

ABSTRACT Gender distribution in relation to academic rank and salary is explored across Commission on Accreditation for Marriage and Family Therapy Education (COAMFTE) accredited training programs. The researchers collected faculty gender, academic rank, institution’s Carnegie Classification and program type data from 126 COAMFTE accredited programs. Findings confirmed that even though women faculty tend to be larger in number, there is a higher proportion of men faculty at higher academic ranks and within research intensive institutions. Salary data of 35 public institutions indicate that men faculty are paid 12% more than women faculty. Future research into the mechanisms that prevent women from advancement and higher pay is recommended.
The influence of AlN nucleation layer on RF transmission loss of GaN buffer on high resistivity Si (111) substrate

A sufficiently low transmission loss in radio frequency (RF) is one of the critical requirements for GaN-on-Si RF devices to achieve high performance. We have systematically studied the mechanism and effect of the AlN nucleation layer on the RF loss of the GaN-on-Si device buffer stack. Our results show that the RF loss is strongly influenced by the growth parameters of the AlN nucleation layer during epitaxial process. It is observed that the AlN nucleation layer grown at a low thermal budget with a low density of deep surface pits can efficiently reduce the AlN/Si interface loss by suppressing the conductive channel at AlN/Si interface which is governed largely by the thermal diffusion of Al and Ga into the Si substrate. By optimizing the growth process of the AlN nucleation layer, the RF loss of the GaN-on-Si device buffer can be dramatically reduced by up to ∼40%.
Transcription Factor Bound Regions Prediction: Word2Vec Technique with Convolutional Neural Network

Genome-wide epigenomic datasets allow us to validate the biological function of motifs and understand the regulatory mechanisms more comprehensively. How different motifs determine whether transcription factors (TFs) can bind to DNA at a specific position is a critical research question. In this project, we apply computational techniques that were used in Natural Language Processing (NLP) to predict the Transcription Factor Bound Regions (TFBRs) given motif instances. Most existing motif prediction methods using deep neural network apply base sequences with one-hot encoding as an input feature to realize TFBRs identification, contributing to low-resolution and indirect binding mechanisms. However, how the collective effect of motifs on binding sites is complicated to figure out. In our pipeline, we apply Word2Vec algorithm, with names of motifs as an input to predict TFBRs utilizing Convolutional Neural Network (CNN) to realize binary classification, based on the ENCODE dataset. In this regard, we consider different types of motifs as separate “words”, and their corresponding TFBR as the meanings of “sentences”. One “sentence” itself is merely the combination of these motifs, and all “sentences” compose of the whole “passage”. For each binding site, we do the binary classification within different cell types to show the performance of our model in different binding sites and cell types. Each “word” has a corresponding vector in high dimensions, and the distances between each vector can be figured out, so we can extract the similarity between each motif, and the explicit binding mechanism from our model. We apply Convolutional Neural Network (CNN) to extract features in the process of mapping and pooling from motif vectors extracted by Word2Vec Algorithm and gain the result of 87% accuracy at the peak.
Anti-disturbance trajectory tracking of quadrotor vehicles via generalized extended state observer

During the trajectory tracking process and low altitude flight of quadrotor, wind gust and ground effect will significantly affect the accuracy and stability of the controller. Therefore, it is vital for a quadrotor to have a robust controller against multiple disturbances. To mitigate this challenge, an active anti-disturbance control strategy based on generalized extended state observer is proposed in this article. Firstly, quadrotor dynamics is modeled as cascaded translational and rotational loops, and the characteristics of wind gust and ground effect are analyzed. Secondly, two generalized extended state observers are constructed for those loops respectively to estimate and attenuate the impact of wind gust and ground effect, and the position and attitude controller are designed based on backstepping method. Finally, real time experiments are carried out on hovering and circle trajectory tracking conditions. The results illustrate that the proposed controller has more advantages in high precision trajectory tracking and low altitude flight of quadrotor in existence of multiple disturbances.
Avoiding Malthus 2.0: Why Food Pessimism Leads Nowhere

One particular concern is about human diets and their resource implications. Globally, agriculture accounts already for up to 40% of global land use and 70% of freshwater withdrawals [1]. Moreover, food systems contribute 19-29% of global anthropogenic greenhouse gas (GHG) emissions of which agricultural production, including indirect emissions resulting from land-cover change, contributes 80-86% of total food system emissions [2]. In 2013, food represents 97% of world agricultural production (value) and 23% of world food production was exported, according to FAOSTAT Production and Trade databases (online). The question is whether humankind can go on consuming food and drink as it currently does.
Fault diagnosis in a current sensor and its application to fault-tolerant control for an air supply subsystem of a 50 kW-Grade fuel cell engine

The safety, reliability and stability of air supply subsystems are still problems for the commercial applications of fuel cells; therefore, engine fault diagnosis and fault-tolerant control are essential to protect the fuel cell stack. In this study, a fault diagnosis and fault-tolerant control method based on artificial neural networks (ANNs) has been proposed. The offline ANN modification model was trained with a Levenberg–Marquardt (LM) algorithm based on other sensors' signals relevant to the current sensor of a 50 kW-grade fuel cell engine test bench. The output current was predicted via the ANN identification model according to other relevant sensors and compared with the sampled current sensor signal. The faults in the current sensor were detected immediately once the difference exceeded the given threshold value, and the invalid signals of the current sensor were substituted with the predictive output value of the ANN identification model. Finally, the reconstructed current sensor signals were sent back to a fuel cell controller unit (FCU) to adjust the air flow and rotate speeds of the air compressor. Experimental results show that the typical faults in the current sensor can be diagnosed and distinguished within 0.5 s when the threshold value is 15 A. The invalid signal of current sensor can be reconstructed within 0.1 s. Which ensures that the air compressor operate normally and avoids oxygen starvation. The proposed method can protect the fuel cell stack and enhance the fault-tolerant performance of air supply subsystem used in the fuel cell engine, and it is promising to be utilized in the fault diagnosis and fault-tolerant control of various fuel cell engines and multiple sensor systems.
Effect of Different Heparin Volumes on Blood Gas Analysis

Abstract Background and Aim: Blood gas analysis is an important laboratory test for diagnosis and treatment of a variety of medical conditions in emergency rooms. Inaccurate sample collection is one of the reasons for errors in blood gas analysis. This study was conducted to evaluate different volumes of heparin in syringes and the effect of sample dilution on blood gas analysis as one of the main factors affecting the results of blood gas analysis. Methods: One hundred children (4 months to 12 years) who presented to Loghman Hakim Hospital, Tehran, Iran, were enrolled in this study. Two samples were taken from each patient. For the first sample, the syringes were filled with heparin sodium and then emptied completely to achieve a very thin layer anticoagulant coating. For the second sample, the syringes were filled with 0.1 mL of liquid heparin sodium 5000 U/mL (5%). The blood gas parameters including pH, PO 2 , PCO 2 , HCO 3 and BE (base excess) were measured. Data were analyzed using SPSS version 18. Results: All parameter had lower levels in second samples (0.1 mL heparin 5%) except for PO 2 compared to the first samples (P < 0.001). Conclusion: This study found that a small amount of heparin in the syringe changed the result of blood gas analysis. Keywords: Blood Gas Analysis; Heparin; pH; PCO 2 ; HCO 3 .
The effect of grading policies on Italian Universities’ attractiveness: A Conditional Multinomial Logit approach

Through the decades, the Higher Education System globally experimented a huge increase in the average marks that each student receives. Among several hypothesis, in this article the idea that grading is one of the tool that every department can use in order to attract a larger amount of students will be stressed. Regarding the Italian case, the speed in obtaining a degree is among the criteria considered by the Ministry of Education in order to evaluate universities, financing them proportionally. As a shortcoming, this can boost an artificial increase in marks. So, the number of students becomes important for those universities with the worst ranking positions, in order to finance themselves through fees. On the other side, it is reasonable to expect that a student emigrates toward places which offer higher chances of receiving a job. In other words, mobility might be driven by the search for better working conditions, and not by the 'ease' of the faculty. Testing this hypothesis, a Multinomial Conditional Logit Model will be implemented in order to measure the probability of choosing a certain destination depending on the harshness and reputation of a University and on the rates of unemployment at a regional level.
Research on transmission line model based on phase‐mode transformation in HVDC system

For a high‐voltage DC (HVDC) transmission system, this paper describes an improved algorithm for the coupled multi‐phase transmission line model and complete procedures for the calculation of the DC‐side harmonic currents. First, based on the phase‐mode transformation, an improved coupled multi‐phase transmission line model is proposed. In other words, the transmission line is represented as a nodal admittance matrix form, considering computational accuracy and efficiency. In addition, when calculating the DC‐side harmonic currents, the line‐commutated converters at the rectifier side and the inverter side are equivalent to the three‐pulse harmonic voltage source models. Second, based on the DC‐side equivalent models mentioned previously and the nodal voltage analysis method, an analytical method and complete procedures for the calculation of the DC‐side harmonic currents in the HVDC systems, namely, the equivalent disturbing current, are described. Finally, a case study is carried out on a 4000 MW/±800 kV HVDC system. In the same condition, the analytical results are basically consistent with the simulation results of PSCAD/EMTDC, thus proving the accuracy of the proposed model. © 2019 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.
Chronic Chemogenetic Manipulation of Ventral Pallidum Targeted Neurons in Rats Fed an Obesogenic Diet

Current treatments for obesity are unable to reliably reduce weight over time and alternative treatments need to address this challenge. New interventions that target the nervous system could manipulate brain networks underlying reward, metabolic rate and behavior. Here, the ventral pallidum was evaluated as a target of manipulation due to its established role in the networks underlying motivation, pleasure and behavioral output. Chronic inhibitory or excitatory chemogenetic activation was used to modulate the activity of ventral pallidum (VP) targeted neurons in rats on an obesogenic diet. We hypothesized that inhibition of VP activity would decrease the salience of the rats’ high-sugar, high-fat diet and lead to reduced food consumption and weight gain over time. Paradoxically, measurements of weight, water and food consumption revealed significantly increased weight gain in both groups receiving VP targeted manipulation that was not readily explained by food or water consumption. We theorize that the complex reciprocal feedback between ventral striatal structures (e.g., VP) and metabolic centers of the hypothalamus and brainstem, demonstrated by prior research, likely underpin our findings. This study suggests that the treatment of appetitive disorders (e.g., obesity) with chronic neuromodulation-based interventions could be burdened by the delayed onset of outcomes that are difficult to predict from related prior studies that used acute interventions.
Analysis of the Consumer Behavior of the Members of the Savings and Credit Cooperatives for the Integration of Electronic Financial Services in the City of Guayaquil

Currently, the use of services that can be marketed online is almost a mandatory strategy that companies must incorporate to generate customer loyalty with the institution. The research deals with the study of the behavior of the members of the Savings and Credit Cooperatives regarding the integration of electronic financial services. Cooperatives are autonomous societies that help their members face their economic, social and cultural needs. Specifically, savings and credit cooperatives have the function of delivering financial intermediation for the benefit of their customers (Mella & Bravo, 2014). The investigation is exploratory scope and descriptive type whose approach is mixed. There were applied techniques such as: (a) the observation to the cooperatives to evaluate the technological progress of the financial services that currently have; (b) interviews with managers of certain entities of the sector; (c) a focus group to certain actors involved; and (d) a questionnaire of closed questions to members of different savings and credit unions in the city of Guayaquil. Among the most important results, the following stand out: (a) 43% use the smartphone to access the internet; and (b) 82% have ever used an electronic financial platform.
Therapeutic Effectiveness, Stress, and Burnout in Mental Health Professionals

Therapists face a great deal of stress in their day-to-day work, which arises from issues regarding psychotherapy effectiveness, therapist gender, client population, and job dissatisfaction. These stressors make therapists susceptible to personal mental health issues, which can lead to burnout. The purpose of this study is to investigate the relationship between therapist perception of therapeutic effectiveness, perceived stress, and burnout experienced by the therapist as influenced by, but not limited to, therapist gender, client population, the type of setting in which the therapist works, and length of time in the field. Findings from this study may provide insight into stressors experienced by therapists at present, as well as the relationship between perceived therapeutic effectiveness and therapist demographics. A review of current literature, including an overview of stress, is presented. Possible explanations, limitations of the study, and implications of the findings are also discussed.
Nonparametric estimation of random effects densities in a linear mixed-effects model with Fourier-oscillating noise density

Abstract This paper is devoted to the study of nonparametric estimation of random effects densities in a linear mixed-effects model. In the first case where noise distribution is fully known, we apply nonparametric deconvolution tools to construct mean consistent estimators with respect to the -error and then study convergence rates of the proposed estimators when noise density is Fourier-oscillating. In the second case where the random noises are assumed to be the uniform distribution on with an unknown a > 0, we propose an estimator for a and then inherit the methodologies in the case of known noise distribution to construct necessary estimators which are also shown to be mean consistency. Some numerical results in the first case of the random noises are presented to illustrate the methodology.
Complete chloroplast genome sequence of Acer ginnala, an important ornamental tree

Abstract Acer ginnala is a woody Acer plant with high ornamental value. In the present study, the chloroplast genome of A. ginnala was determined, annotated, and analyzed phylogenetically. The total chloroplast genome was 156,184 bp in length, consisting of a large single-copy region (86,525 bp), a small single-copy region (18,947 bp), and two inverted repeat regions (25,356 bp). The complete chloroplast genome contains 133 genes, including 90 protein-coding genes, 36 transfer RNA (tRNA) genes, and 8 ribosomal RNA (rRNA) genes. The phylogenetic analysis based on the sequences of 49 common proteins from 25 species demonstrated a close relationship between A. ginnala and three others Acer plants species including A. truncatum, A. miaotaiense, and A.catalpifolium. This study will help to understand the phylogenetic position of A. ginnala in genus Acer.
Terrorist attacks and public approval of the Russian president: evidence from time series analysis

ABSTRACT This article applies time series analysis to examine weekly data on Vladimir Putin’s approval rating and their dependence on terrorist attacks. I find that minor terrorist attacks with few or no fatalities in Chechnya, Ingushetia, and Dagestan increase Putin’s ratings, while major terrorist attacks, with more than four fatalities, have a negative impact. There is also evidence that terrorist attacks in other Russian regions reduce Putin’s public approval; however, this evidence is weaker and depends on the model specification. Furthermore, I control for main annual media events with President Putin’s participation: the television Q&A program “Direct Line with V. Putin,” Putin’s address to the Federal Assembly, and a large annual press conference. All three media events increase the president’s approval, with Direct Line having the least effect.