Miracle-dz/UniFAR-FTUs huggingface dataset:
Design & Analysis of 2-phase Op-Amp for LDO Application

This paper presents 2-phase operational -Amplifier that can be cast-off for LDO application that provides a very high value of PSRR, CMRR, Phase margin and Gain. The proposed design was implemented in UMC 180nm technology. The topology of the design circuit entails of a differential pair tracked up through a CSA and common drain configuration which is used for loading purposes. The proposed design is used to obtain a high PSRR value of 98.277dB which is used for LDO solicitations. Simulation is done exhausting software Cadence, Virtuoso, Spectre and Assura under 1.8V to obtain Gain of 61dB and Phase margin of 60.045deg at unity bandwidth of 43.892MHz with power dissipation less than 0.214mW along with CMRR of 62.309dB. A full custom IC layout design occupies the area of about 20,000 square micro meters.
Contribution to financial distress and default modeling and new 2-D aggregated model – SME case studies

Financial distress and default modeling represents large and important field of economic research topics. This paper concerns with general structure of such models in form of linear or affine forms built upon data available from standard accounting reports. Such general approach helps both to elucidate connections among well-known models, e.g. Altman, Ohlson, Neumaier and other ones, as well as building new models. Using logit transformation we get probabilistic version of Altman Z-score which thus may form one component of a new 2-D aggregated model, whereas the second component is constituted by Ohlson O-score in proper form. These models are used both for extensive analysis and short-term prediction of firm’s state. All models are implemented by Mathematica modules and important algorithmic details are presented. Finally, we present and discuss some illustrative results of SME case studies, as well.
Ricardian Comparative Advantage and Value Added in Exports

Incorporating the literature on value added in exports and Ricardian comparative advantage, this paper tests empirically whether the importance of Ricardian comparative advantage is valid for value added in exports. We decompose gross exports at the industry level into various value-added components, covering 40 countries and 14 manufacturing industries for the period of 1995-2011. Using a panel data model with three dimensional fixed effects (exporter-importeryear, importer-industry-year, and exporter-industry fixed effects), we find that comparative advantage is an important determinant of the patterns of trade in a world with global value chains. Furthermore, we also find the evidence that developed countries have greater scope for intra-industry comparative advantage. Finally, we also find that Ricardian comparative advantage determines the patterns of trade in Korean manufacturing.
Inflation Targeting, Exchange-Rate Targeting Monetary Policies in an Open New Keynesian DSGE Model*

Recently the Fed’s monetary policy target interest rate is paid attention. How monetary policy should be publicly disclosed is related to the monetary policy strategy, including inflation targeting, exchange-rate targeting and the Taylor rule. A dynamic stochastic general equilibrium (DSGE) New Keynesian open macroeconomic model is setup with a Bayesian approach to estimate the model parameters using the Taiwan data. The effects of central bank’s different targeting policies on the economy with different shocks are investigated. We found that the economic welfare of the policy target adopted by the central bank depends on the real or nominal shocks.
Types and abundance of plankton in the hybrid tilapia brackish water culture media enriched with mixed booster (plankton, aqua enzyme and amino liquid)

Nutrient in the water is an important factor to grow plankton and thus addition of booster may improve the plankton abundance. This research aims to understand the effects of fermented booster mixture addition toward plankton abundance. There were 5 treatments applied, Po (control); P1 (0.075 mL L); P2 (0.45 mL L); P3 (0.825 mL L) and P4 (1.2 mL L). The booster was added to hybrid tilapia (Oreochromis aureus x O. niloticus) culture media (circular tank, 80 L, brackish water 17 ppt). The fish (2.04-2.87 g body weight (BW), 5.2-5.43 cm total length (TL)) density was 40 fishes tank, and they were fed on commercial pellet (38% protein content), 3 times a day, 5% of their biomass. The fish was reared for 70 days and the fermented booster that contains plankton booster (molasses, inositol, manganese, zinc, iron, copper, cobalt), aqua enzyme (Bacillus subtilis, B. polymyxa, B. licheniformis (9 × 10 CFU L), alpha protease, amylase, cellulose), and amino liquid (vitamine A, D3, E, K3, B1, B6, C, folic acid, L-lysine, arginine, glycine, cystine, methionine, leucine and serine) was added to the media once a week. Results showed that the addition of booster positively affected the water quality as well as the plankton abundance. During the experiment, temperature, pH, salinity, dissolved oxygen (DO), CO2, ammonia, nitrate and nitrite in the water were able to support the life of plankton. The best result was provided by P2, the plankton abundance was the highest (5,107 cells L) by the end of experiment. The type of plankton in all treatments applied was the same, namely Bacillariophyceae, Chlorophyceae, Charophyceae, Cyanophyceae, Chrysophyceae, Rotifera, Dinophycea and Euglenophyceae. The plankton life cycle was 32 days and there was no difference in the cycle length among the treatments. There were 22 types of plankton present in the stomach of the fish (5.3% of total feed).
Placement Predictor and Course Recommender System

- The performance in education sector in India is a turning point in the lives of all students. As this academic performance is influenced by many factors, it is essential to develop predictive data mining model for students’ performance so as to identify the slow learners and study the influence of the dominant factors on their academic performance. The educational sector in IT includes the student records namely aptitude skills, certification courses, technical abilities in various languages or web development and academic performance. It may be an important consideration to analyze various trends since all the systems are now computer based information system so data availability, modification and updating are a common process now. Student achievement is highly influenced by past evaluations which involves various relevant features (e.g. attendance in lectures/practical, participation in various intercollegiate college events, test scores, etc.). As a direct outcome of this project, more efficient student prediction tools can be developed, improving the quality of education and enhancing school resource management
Tomography of High-Harmonic Generation and Direct Phase-Matching Condition Measurement

e-mail: nem2050@g.ncu. edu.tw High-harmonic generation (HHG) from laser-irradiated gas target has been demonstrated as ultrashort coherent extreme-ultraviolet or soft x-ray source. The emission of high energy photons is due to the bound electrons in the atoms driven by the intense laser field to ionization, acceleration, and then recombination [1]. In addition to the single-atom response, the phase matching between the driving laser field and the harmonic field affected by various dispersion effects critically determines the overall conversion efficiency. Several methods had been demonstrated to achieve phase matching in the weak ionization regime. In this paper, we demonstrate a tomographic measurement based on transverse selective zoning method [2] to investigate the growth of HHG yields as the interaction length increasing. Furthermore, the 3-D phase-matching profiles due to the neutral gas dispersion, plasma dispersion, geometrical phase shift, and intrinsic dipole phase variation are calculated from the individual measurements of local Ar gas density, plasma density, and driving pulse beam profile. To verify the tomographic measurement, a concise simulation on the basis of the phase-matching profiles is performed to reconstruct the HHG conversion process including the emission and the propagation, which reproduces the HHG growth curve and the far-field beam profiles precisely. Both experiment and simulation results indicate that the HHG yields increase monotonically with the interaction length increasing under the phase-matching condition and the major contribution of HHG yield is from the short-trajectory emission at the central region of the driving laser beam. Figure 1 shows the experiment setup including the four diagnostic tools: (1) Forward relay image system; (2) 2-D EUV spectrometer; (3) Wavefront sensor and (4) HHG tomography.
Identification of Potential Migrants in Epoxy Phenolic Can Coatings

Abstract A test protocol has been developed that contains a suite of complementary analytical methods to identify and estimate the concentrations of potential chemical migrants in polymeric coatings applied to metal substrates. The capabilities of these techniques (FT-IR, overall migration, headspace GC-MS, GC-MS, and LC-TOF-MS) have been tested for a variety of polymeric coatings, and the results for one particular coating, an epoxy phenolic, are described as an example. The example provided shows both the power and the limitations of current analytical techniques in the evaluation of the total migrate from food contact materials.
Modeling the cerebellum, from neurons to healthy and pathological behaviors: student research abstract

The human nervous system and its functioning have always been the focus of attention for many scientists for centuries and they were studied from many different points of view. This research project bridges neuroscience, neurocomputing and bioengineering and aims to explore the brain neural mechanisms with two approaches: modeling and experimental. Since the entire nervous system is too complex and wide to be studied as a whole, the research is focused on the cerebellum and its known crucial learning plasticity skills. The proposal has a strong multi-scale approach, from detailed neuron properties to motor behavior, connecting realistic modeling and human experimental data, with the perspective of useful clinical-rehabilitative applications.
SOUTHERN ITALY: THE ROSSANO

Unlike the Tyrrhenian side, the seismotectonics of the Ionian sector of the Calabrian peninsula is still not well defined, both in terms of active tectonics and seismic activity. This work focuses on a strong earthquake that occurred along the northern Ionian coast of Calabria in 1836 (Rossano area, Mw=6.2), by applying a multidisciplinary approach in order to find out its possible causative fault. Thanks to the reappraisal of the historical accounts of the earthquake which also contain possible surface break descriptions and to geological, geomorphological, structural and paleoseismological analyses carried out in the mesoseismic area, we propose that the poorly known, E-W striking, normal Rossano Fault might have been responsible for the 1836 event. This fault, which is characterized by an impressive ~100-mhigh rectilinear scarp, downthrows the Palaeozoic rocks of the Sila Massif below the coastal alluvial plain of Rossano. Absolute dating of faulted talusdeposits, coupled with observations on the geometry and aspect of the fault P. Galli, V. Spina, I. Ilardo et al. 50 free-face, allow to hypothesize repeated surface ruptures in the Late Holocene.
SPECULATIVE BUBBLES UNDER CROSS SECTIONAL DEPENDENCE

This paper study empirically a model for speculative bubbles (Campbell, 2000). The idea is to investigate the existence of a stable (no-explosive) relationship among stock prices, dividends and returns in international markets over the period 1991-2006. First, we check for panel unit root in log dividend-price ratio and in the real returns using cross-sectional dependence tests in order to verify “no bubble” hypothesis. Second, we check for co-integrating relationship between the log dividend-price ratio and real returns using a new panel co-integration test (Westerlund, 2005). If a stable (equilibrium) relationship is rejected, the “no bubble” hypothesis is also rejected. K EYWORDS: Panel data, Cointegration, Speculative bubbles, International financial markets
Identification and mapping of soybean and maize crops based on 
Sentinel-2 data

Soybean and maize are important raw materials for the production of food and livestock feed. Accurate mapping of these two crops is of great significance to crop management, yield estimation, and crop-damage control. In this study, two towns in Guoyang County, Anhui Province, China, were selected as the study area, and Sentinel-2 images were adopted to map the distributions of both crops in the 2019 growing season. The data obtained on August 18 (early pod-setting stage of soybean) was determined to be the most applicable to soybean and maize mapping by means of the Jeffries–Matusita (JM) distance. Subsequently, three machine-learning algorithms, i.e., random forest (RF), support vector machine (SVM) and back-propagation neural network (BPNN) were employed and their respective performance in crop identification was evaluated with the aid of 254 ground truth plots. It appeared that RF with a Kappa of 0.83 was superior to the other two methods. Furthermore, twenty candidate features containing the reflectance of ten spectral bands (spatial resolution at 10 m or 20 m) and ten remote-sensing indices were input into the RF algorithm to conduct an important assessment. Seven features were screened out and served as the optimum subset, the mapping results of which were assessed based on the ground truth derived from the unmanned aerial vehicle (UAV) images covering six ground samples. The optimum feature-subset achieved high-accuracy crop mapping, with a reduction of data volume by 65% compared with the total twenty features, which also overrode the performance of ten spectral bands. Therefore, feature-optimization had great potential in the identification of the two crops. Generally, the findings of this study can provide a valuable reference for mapping soybean and maize in areas with a fragmented landscape of farmland and complex planting structure.
Audit Quality and Financial Reports of Deposit Money Banks in Nigeria

The study was aimed at assessing the influence of audit quality on financial reports of Deposit Money Banks (DMBs) in Nigeria. The motivation was the corporate collapses and failures experienced in the banking sector amidst the clean audit reports. The methodology adopted was ex-post-facto. Using descriptive and inferential statistics, a sample of 10 deposit money banks was purposively selected for a period of 14 years, resulting in 140 data points. The data were obtained basically from content analysis of published annual reports and accounts, and notes to the financial statements. Using Pearson Product-Moment Correlation and Linear multiple regression; the study revealed that Audit fees and Auditor tenure exert insignificant influence (3.4%, 3.3%) and exhibited significant relationship with the amount of discretionary accruals of deposit money banks in Nigeria. There existed 85.8% positive joint relationship between audit quality and financial reports. However, auditor tenure has more influence on discretionary accruals than audit fees. It was recommended that the regulatory bodies should strengthen the quality of financial reports by taking measures such as fixing optimal non-discretional accrual levels. Supervisory and regulatory authorities should check the excesses of management of these DMBs, this will reduce the risk of bank failures even with clean reports. The auditors of DMBs in Nigeria given their fees should conduct Earnings Quality Assessment (EQA) and issue “Integrated Audit reports” which will include EQA reports and Internal Control Reports in addition to normal annual audit reports. These measures will reduce and address the issues in financial reports policy which could create threat for auditors.
Illumination Compensation of Facial Image Using Combination Algorithm for Face Recognition

So far, biometric identification in general and facial recognition in particular are still being researched and developed for applying in several areas such as security, etc. In this paper, the authors study on some facial image recognition methods that have been researched and published in the world. On the basis of the remaining disadvantages of these published methods, we proposed an illumination compensation method of facial image using Combination Algorithm for face recognition. It is combination method of Singular Value Decomposition and Curvelet algorithm (SVD_C). The results of this proposed method are compared with the results of Global Adaptive Singular Value Decomposition in the Fourier domain method (GASVD_F) and Adaptive Singular Value Decomposition in the Wavelet domain method (ASVD_W) via recognition rate criterion RR (%). Experimental results validate the efficiency of the proposed method.
Calculation of the shear viscosity of decane using a reversible multiple time‐step algorithm

The shear viscosity of a fully‐flexible model for n‐decane is calculated via equilibrium molecular dynamics simulations at the state point T=480 K and ρ=0.6136 g/cm3. A reversible multiple‐time step approach is used in conjunction with Nose–Hoover chain dynamics to generate data in the canonical (NVT) ensemble. For comparison the shear viscosity is also computed in the standard microcanonical NVE ensemble. A model that accurately reproduces the experimental vapor–liquid coexistence curve is shown to yield excellent results for the shear viscosity at the state point under study.
CHEMICAL COMPOSITION AND ACARICIDAL ACTIVITIES OF JATROPHA CURCAS L. EXTRACT AGAINST ORIENTAL RED MITE, EUTETRANYCHUS ORIENTALIS (KLEIN) (ACARI: TETRANYCHIDAE)

Laboratory bioassays were conducted to evaluate the acaricidal activities of the ethanolic extract of Jatropha curcas L. leaves (Family: Euphorbiaceae) against adult females of oriental red mite, Eutetranychus orientalis. The leaf dip technique and direct application were adopted to assess the toxicity, fertility, repellency and ovicidal effects of different doses (0.1–10 mg/mL) of the ethanolic extracts of J. curcas L. leaves. We found that this extract increased mortality and reduced fecundity in a dose-dependent manner. Leaf discs treated with increasing doses (0.05, 0.5, 1 and 5 mg/mL) of the extract also showed a high percentage of repellency (94.12%) while treated eggs with these increasing doses showed a remarkable increase in the eggs’ mortality 7 days after treatment, i.e., 72.00% at 5 mg/mL. We confirmed the presence of secondary metabolites and showed an abundance of phenolic compounds, flavonoids, flavonols and tannins with different concentrations.
Beyond Trust Building — Calibrating Trust in Visual Analytics

Trust is a fundamental factor in how users engage in interactions with Visual Analytics (VA) systems. While the importance of building trust to this end has been pointed out in research, the aspect that trust can also be misplaced is largely ignored in VA so far. This position paper addresses this aspect by putting trust calibration in focus – i.e., the process of aligning the user’s trust with the actual trustworthiness of the VA system. To this end, we present the trust continuum in the context of VA, dissect important trust issues in both VA systems and users, as well as discuss possible approaches that can build and calibrate trust.
Extracellular Biosynthesis of Gold Nanoparticles using Aspergillus niger – its Characterization and Stability

The development of an eco-friendly and reliable process for the synthesis of gold nanomaterials using microorganisms is gaining importance in the field of nanotechnology. In the present study, gold nanoparticles have been synthesized by reduction of aqueous gold ions using the culture supernatant of Aspergillus niger NCIM 616. The synthesis of the gold nanoparticles was monitored by UV-visible spectroscopy. The particles thereby obtained were characterized by UV, Fourier transform infrared (FTIR), scanning electron microscopy (SEM), transmission electron microscopy (TEM), and X-ray diffraction (XRD). The stability of the synthesized gold nanoparticles was analyzed by zeta potential measurement. Treatment of the fungal supernatant with aqueous Au+ ions produced nanoparticles with an average particle size of 12.79 ± 5.61 nm. Different characterization studies showed that the extracellular enzyme secreted by Aspergillus niger NCIM 616 might be responsible for both formation and capping of the metal nanoparticles.
CAUSES OF RURAL-URBAN MIGRATION AND EMPLOYMENT CHALLENGES IN URBAN ETHIOPIAN:

The internal migration has become a major issue of influencing government policies and program efforts. Thus, the main objective of the study is to analyze the socio-economic factors associated with the movement of rural-urban migration and employment challenges in urban Ethiopia. A total of 400 both rural-urban and urban-urban migrants were covered in the three purposively selected urban areas. Of all migrated population, 72% of them migrated from rural areas while 28 percent was within-urban migration. The Binary logistic model was chosen as an appropriate model and the dependent variable (yi) is binary which takes 1 for migrants mainly who migrated from rural to urban area, 0 otherwise. The coefficient of distance from birth area is negatively related with the dependent variable (rural-urban migration) and as distance from place of origin decreases, migrants are more likely to be expected to be pulled towards urban areas compared to migrants from remote rural areas. Conversely, the coefficients of illiterate, adult and religious, primary, high school and preparatory education levels, reasons for migration; (to seek employment, advancing in education, shortage of agricultural land, job transfer) and source of information are positively associated with rural migration and the likelihood of moving out from rural areas increases by 24.57%, 26.68%, 27.24%, 27.05%, 27.54%, 24.43%, 23.91%, and 23.73%, 9.77% respectively. This implies that not only more educated, but also illiterate and less educated migrants are more likely to be pulled toward urban areas and the main causes for rural-urban migration in the study are found to be economic factors, which is in line with the Harris Todaro model of rural-urban migration.
PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE ON MOLECULAR SIMULATION Influencing the direct formation of ‘Janus’ particles in molecular dynamics simulations

The binary nucleation of phase-separatedLennard-Jones clusterswas analysed under various system conditions usingmolecular dynamics simulations. The modified potential model provides a simple gateway to observe non-wetting behaviour and imitates the more complex interactions of non-miscible substances. Thus, not only the transition from ideally mixed clusters to so-called ‘Janus’ particles, but also the structural aspects and dynamic formation processes of nanoscopic droplets are directly observable from the gas phase. Various shapes and sizes of these inhomogeneous clusters have been found via simple tuning of system parameters. From this analysis, we gained further insight into the direct formation of ‘Janus’ particles from the gas phase.