Miracle-dz/UniFAR-FTUs huggingface dataset:
Methods to assess process flow and wait-times at student run free clinics

Objective: The aim of this study is to suggest a methodology for Student Run Free Clinics (SRFC) to collect and analyze data in order to derive recommendations that improve clinic operations and the value of care. Background: SRFC play an important role in healthcare, yet research into improving their effectiveness is largely absent. The use of business process management (BPM) and Quality Improvement (QI) tools are effective ways to identify inefficiencies and make workflows capable of adapting in changing environments. We leveraged these tools to employ a methodology at MedZou Community Health Clinic to better understand and improve our patient flow. Methods: Through timecards and volunteers we collected process data comprising of the patient ID, name of the service and its timestamp. The data was then collected and analyzed through the Disco process mining software to give us a graphical representation of clinical flow and statistical data. We then developed a Value Stream Map and executive and QI focused Tableau dashboards. Data collection period was from May 2015 to December 2015. Results: Through this process, we collected 66 patient timecards allowing us to understand out clinic flow and its utilization and duration of services. We were also able determine the time it takes from arrival to physician as 114 minutes, of which 47.9% was value added steps and the rest was attributed to wait time. Implication: Our study allowed us to understand our processes within the Clinic and suggest measurable recommendations to improve efficiency, reduce wait-times and increase value.
High Resolution FDMA MIMO Radar

Traditional multiple-input multiple-output (MIMO) radars, which transmit orthogonal coded waveforms, suffer from range–azimuth resolution tradeoff. In this article, we adopt a frequency division multiple access (FDMA) approach that breaks this conflict. We combine narrow individual bandwidth for high azimuth resolution and large overall total bandwidth for high range resolution. We process all channels jointly to overcome the FDMA range resolution limitation to a single bandwidth, and address range–azimuth coupling using a random array configuration.
Alpha Fetoprotein Plays Antagonistic Role in Benzyl-Isothiocyanate ArrestingCell Cycle in Liver Cancer Cells

Background: To investigate the effect of alpha fetoprotein (AFP) on benzyl-isothiocyanate (BITC) arresting cell cycle in human liver cancer cells line in vitro, and explore the possible role mechanism of BITC inhibited proliferation of hepatocellular carcinoma (HCC) cells. Methods: In this study, we selected HCC cells lines, Bel 7402 and HLE for test. Fluorescent microscopy and Western blotting were applied to observe the transfected effect and expression of proteins; MTT assay the proliferation of HCC cells; Flow cytometry method was used to detect the cellular cycle; RNA interference was used to test and expressed vector constructed technology were performed to silence and induce expression of AFP, respectively. Results: Analysis showed BITC had a significant inhibitory effect on the proliferation of HCC cells in dosedependent manner, inhibitory effect was enhanced while Bel 7402 cells were transfected with AFP-siRNA vectors but attenuated in HLE cells while transfected with pcDNA3.1-afp vectors. The growth ratio of AFP-siRNA transfected Bel 7402 cells and pcDNA3.1-afp transfected HLE cells followed treated with 80 μmol/L BITC were (42.43 ± 4.92)% (P<0.05 vs Bel 7402 cells group) and (40.13 ± 4.99)% (P<0.05 vs HLE cells group). BITC could obviously induce cell cycle G2/M phase arrest in theses HCC cells; The induction effect was enhanced in AFP-siRNA transfected Bel 7402 cells but attenuated in pcDNA3.1-afp transfected HLE cells. BITC inhibited the expression of cell cycle related proteins, cyclin B1, CDK1, Cdc25c but stimulated expression of Weel in Bel 7402 cells and HLE cells, and such effect was enhanced in AFP-siRNA transfected Bel 7402 cells but attenuated in pcDNA3.1-afp transfected HLE cells. Conclusions: BITC could inhibit the growth of HCC cells and induce cell cycle G2/M phase arrest through down regulating the expression of cyclin B1, CDK1, Cdc25c and up regulating the expression of Weel; AFP played an antagonistic role in BITC arresting cell cycle in HCC cells.
3-TIER E-COMP: A NOVEL E-COMMERCE MANAGEMENT PORTAL BASED ON SECURED SDLC APPROACH

In today’s business world, there is an urgent need to develop a new approach for customer to business owner transactionssecurely. This research develops, implements, and discussed a novel 3 – Tier E-Commerce Management portal. This makesonline business very flexible and secured on the part of business owners and customers. Our proposed system seeks toreplace the conventional E-commerce models on the internet today. We argue that process logic manipulation using SecuredSoftware Development Life Cycle (SSDLCM) on Ecommerce platform is a promising scheme for studying andunderstanding script processing on the new web paradigms. In this research, we define security calculus for 3 Tier EComPwith the aim of eradicating SQL injection possibilities as well as exploiting Software as a service in a dynamic Ecommercedomain. Also, we developed a new access hierarchy for E-commerce comprising of Application layer users, designatedadministrator and super administrators in the 3 – Tier EComP. We developed a new encryption scheme based on XAMPMD5 Random Curve Cryptography (XMD5 – RCC) running on Secure Socket Layer (SSL) which protects the user andadministrators on the Ecommerce platform. The result of encryption scheme randomly generates and secures the logindetails dynamically on the server during the authentication and authorization phases. The programming was accomplishedwith PhP, and MySQL Server. The overall methodology as detailed in the body of the work could serve as good template forapplication developers and other researchers.Keywords: E-Commerce, XMD5-RCC, SSL, Platform, SSDLCM, Software, Service
Issues and Effective Research on Energy Re-Gain in Underwater Wireless Sensor Network

Underwater Sensor Networks (UWSN) were lately projected to sustenance moderately few of aquatic solicitations such as wharf observing and marine consideration. In energy-constraint underwater sensor network (UWSN) it is very vital to find tactic to mend the life expectancy of the sensor. Acoustic communication stereo typically directs the clout usage in underwater sensor networks. To deploy the vitality efficient network in underwater and reliable vitality resource is the foremost task in underwater sensor network. Energy efficient announcement is a key requisite of energy-constrained underwater sensor network (UWSN). In this paper we are providing the innovative energy efficient deployment technique and proposing a new technique to re-gain energy through the energy conversion mechanism, tidal energy into electrical energy which is reliable energy resource for the network to work for a long time.
The Operating Patterns of Learner Emotions in Second Language Learning

Learner emotions play a decisive role in promoting second language learning and have increasingly attracted the attention of scholars both at home and abroad. The emotional education in China is still stuck in the "emotion as a tool" stage, and has not yet become a "substantial presence". Based on discussions on various definitions, benefits and development review of emotion in second language learning, two forms of operating patterns of affective factors are found in language pedagogy, which are emotions affecting learning and affecting emotions in learning, and the utilization of the two operating patterns are ultimately conductive to optimizing cognitive effects and enhancing students' emotional intelligence. Index Terms - Learner emotions, Operating patterns, Second language learning
Carbon and nitrogen abundances of stellar populations in the globular cluster M 2

We present CH and CN index analysis and C and N abundance calculations based on the low-resolution blue spectra of red giant branch (RGB) stars in the Galactic globular cluster NGC 7089 (M 2). Our main goal is to investigate the C-N anticorrelation for this intermediate metallicity cluster. The data were collected with DOLORES, the multiobject, low-resolution facility at the Telescopio Nazionale Galileo. Spectroscopic data were coupled with UV photometry obtained during the spectroscopic run. We found a considerable star-to-star variation in both A(C) and A(N) at all luminosities for our sample of 35 targets. These abundances appear to be anticorrelated, with a hint of bimodality in the C content for stars with luminosities below the RBG bump (V~15.7), while the range of variations in N abundances is very large and spans almost ~ 2 dex. We find additional C depletion as the stars evolve off the RGB bump, in fairly good agreement with theoretical predictions for metal-poor stars in the course of normal stellar evolution. We isolated two groups with N-rich and N-poor stars and found that N abundance variations correlate with the (U-V) color in the DOLORES color-magnitude diagram (CMD). The V, (U-V) CMD for this cluster shows an additional RGB sequence, located at the red of the main RGB and amounting to a small fraction of the total giant population. We identified two CH stars detected in previous studies in our U, V images. These stars, which are both cluster members, fall on this redder sequence, suggesting that the anomalous RGB should have a peculiar chemical pattern. Unfortunately, no additional spectra were obtained for stars in this previously unknown RGB branch.
A Geometric Level Set Method for Transcendental Equations from Chemical Engineering

When trying to solve a single transcendental equation f (x, a) = 0 that depends on two parameters x and a, we have found the standard root finders such as bisection and Newton’s method lacking within the parameter range of a with multiple roots. Here we propose, implement, and test a level set method for solving parameterized transcendental equations with bifurcation. We create the elevation matrix data Z = f (x, a) ∈ Rn,n for x and a data vectors in Rn and draw the level zero contour curve for the associated surface (x, a, f (x, a)) ∈ R3 via data interpolation. The method is very simply implemented via MATLAB’s built-in contour command. It works exceedingly well and is much faster than using standard root finders that generally fail do give useful information near the bifurcation points or using continuation methods.
Neurocomputing Techniques to Predict the 2 D Structures by Using Lattice Dynamics of Surfaces

Neurocomputing Techniques to Predict the 2D Structures by Using Lattice Dynamics of Surfaces A. Belayadia,b,∗, B. Bourahla and F. Mekideche-Chafa University of Science and Technology H. Boumedienne, Department of Physics, Algiers, Algeria University of M. Bougara, Department of Coating Material and Environmental, Boumerdes, Algeria Laboratory of Physics and Quantum Chemistry, M. Mammeri University, Tizi-Ouzou, Algeria
The Trade-Offs of Welfare Policies in Labor Markets with Informal Jobs: The Case of the "Seguro Popular" Program in Mexico

In 2002, the Mexican government began an effort to improve health access to the 50 million uninsured in Mexico, a program known as Seguro Popular (SP). The SP offered virtually free health insurance to informal workers, altering the incentives to operate in the formal economy. We find that the SP program had a negative effect on the number of employers and employees formally registered in small and medium firms (up to 50 employees). Our results suggest that the positive gains of expanding health coverage should be weighed against the implications of the reallocation of labor away from the formal sector.
Normality of the Stock Index Futures of China

In this paper, we test the null hypothesis that the prices of stock index futures of China follow a random-walk process. Five hypothesis tests are applied to test the random-walk hypothesis (RWH). Each test uses both inter-day and intra-day returns. Compared with inter-day analysis, test results on intra-day data can describe the movements of intra-day markets more effectively, because intra-day analysis eliminates overnight news propagation, thus generating more precise conclusions on the intra-day market for intra-day traders. Three out of the five tests reject the RWH, whereas the other two cannot reject the RWH. Overall, the market is not fully efficient.
Evolving Disks in Cold Dark Matter Cosmology

Despite having entered the era of “precision cosmology,” the formation of galaxies within the favored CDM cosmological paradigm remains problematic. By relating our N-body/smooth particle hydro-dynamical simulation to an extensive range of Galactic and extragalactic observations, we shed light on the formation and evolution of the Milky Way and other late type galaxies. In light of recent observations of the stellar populations of extragalactic thick disks, we examine the proposal that the thick disk formed in a high redshift period characterized by gas rich merging. We show such a scenario to be consistent with color observations. We then follow the evolution of structural parameters of the subsequently formed disk galaxy, from redshift �1 to the present. Consistent with observation, little evolution in the ratio of scale-height to scale-length is found in our simulated galaxy, despite its somewhat chaotic origins. The simulated galaxy in this report forms part of a larger study of a suite of galaxies, with which these issues are to be studied in detail. The age of precision cosmology is upon us, with concordance values of cosmological parameters placing us in an accelerating Universe, composed primarily of dark energy (�73%), and dark matter (�23%), with a mere smattering of baryonic matter (�4%). The evolution of structure on large scales is driven by gravity, and such structures as clusters and filaments of galaxies are exceedingly well explained by [t]
IMPACT OF INDUSTRIAL EFFLUENTS ON GERMINATION AND SEEDLING GROWTH OF LENS ESCULENTUM VARIETIES.

Effluent samples were collected from Koh-e-Noor textile mill, Marble Industry and Attock oil Refinery for present study. Different dilutions (0, 10, 20, 40, 60, 80 and 100%) were used to irrigate two varieties of lentil (M-93 & NARC-02-4). Koh-e-noor (textile) mill effluent was most injurious as its all concentrations caused a reduction in the length parameters of the two varieties. Roots were more affected than shoots. Whereas various concentrations of effluents from marble industry and refinery were stimulatory for the growth of both varieties. General growth of Lens esculentum var NARC-02-4 under normal conditions was better as compared to var M-93 but the percentage reduction in length parameters was less in case of M-93 as compared to NARC-02-4. Comparison of the two varieties showed that the overall fresh and dry weight of seedlings was more in case of M-93 as compared to NARC-02-4. The dry mater accumulation was comparable in the two varieties. Study concluded that effluents from Marble industry and Refinery could be used for irrigation purpose after dilutions as was evident from the length and weight parameter. The growth of both varieties of lentil was suppressed in textile effluent, but both could be grown in the other two effluents in variable concentrations for optimal growth.
Two problems of the Taylor rule and a proposal: the tracking rule

This paper deals with some problems related to the application of monetary policy following the Taylor Rule in the theoretical context of a “3-equation model”. The first problem arises if the real interest rate does not affect the equilibrium income level itself –as in the IS curve- but its rate of growth –as in the dynamic IS that we propose. Secondly, the Taylor Rule is incapable of reaching the inflation target when the central bank does not correctly estimate its parameters (the neutral interest rate and potential income) or these parameters vary. Our objective is to propose an alternative to the Taylor Rule which overcomes both problems. This alternative has been called the Tracking Rule, because instead of trying to estimate the neutral interest rate or the potential output, the central bank “tracks” these values based on the economy’s evolution, particularly on variations in the inflation and unemployment rates. After justifying the dynamic IS and explaining the logic of this rule in detail, the paper compares the Tracking Rule with the Taylor Rule, simulating both of them in the context of different types of shock in the modified three equation model. The results, measured by a loss function, show that the Tracking Rule is superior in every single case. It is particularly interesting to evaluate central bank reactions derived from the two rules when the economy suffers a large contractive shock such as the current crisis. The results show that, with the same shock, the economy is more likely to fall into the liquidity trap when the Taylor Rule is applied.
Qumran Textiles in the Palestine Exploration Fund, London: Radiocarbon Dating Results

Abstract Three pieces of fabric from Qumran's Cave 1 have been stored in the Palestine Exploration Fund collection since the 1960s but have hitherto never been tested or re-examined. The fabric is made of linen, and was probably used for wrapping or packing scrolls, or sealing jars. New radiocarbon dating on one piece of fabric indicated a probability of 55% for it being made between 1 and 55 A.D., and a probability of 95.4% that it was made between 50 cal B.C.–80 cal A.D.
EFFECTS OF DIETARY BETA-GLUCAN ON GROWTH AND BODY COMPOSITION OF MACROBRACHIUM ROSENBERGII

The experiment was carried out on Freshwater prawn, Macrobrachium rosenbergii, reared for a period of 60 days with a dietary supplementation of beta-glucan to evaluate the effect on growth, body composition and water quality changes. Juvenile of Macrobrachium rosenbergii (with initial weight of 0.34 ± 0.01 g) were fed with betaglucan incorporated diets at levels 0, 1, 2 and 3 g/kg of feed. The final weight of the prawn at the end of the experiment were 1.22g, 1.31g, 1.19 g and 1.13g fed with beta-glucan incorporated diets at levels 0, 1, 2 and 3 g/kg of feed respectively. There was no significant difference observed (p>0.05) in growth of experimental groups, however significant (p 0.05) among groups. Water quality parameters observed within the tolerance limits for M. rosenbergii during the experimental period. These results reveals that supplementation of dietary β-glucan 1g/kg could improve survival rate without affecting body composition in M. rosenbergii juvenile culture.
Comparative Analysis of Two EOQ based Inventory Models

In this paper, we compare two EOQ based inventory models under total cost minimization and profit maximization to investigate the difference in the optimal solutions. First of all, optimal solutions for both models through geometric programming (GP) techniques are found considering production (lot sizing) as well as marketing (pricing) decisions. An investigation of the effects of the changes in the optimal solutions according to varied parameters is performed by studying optimality conditions as well as by performing numerical analysis. We then conduct comparative analysis between the models to show the relationships between the optimal solutions of the models where certain conditions in the cost per unit and the demand per unit time are given. Several interesting economic implications and managerial insights are observed from this analysis.
Linking Financial and Macroeconomic Factors to Credit Risk Indicators of Brazilian Banks

This study constructs a set of credit risk indicators for 39 Brazilian banks, using the Merton framework and balance sheet information on the banks’ total assets and liabilities. Despite the simplifying assumptions, the methodology captures well several stylized facts in the recent history of Brazil. In particular, it identifies deterioration in the credit risk indicators of the banking sector, following the crisis in the early 2000s. The risk indicators were regressed against a number of macro-financial variables at both individual and systemic level, showing that an increase in the system EDF, interest rates, and CDS spreads will lead to a deterioration of the individual expected default probability.
A NOx Emission Forecasting Model Using Multiresolution LSSVM Based on Data-driven and SF-KPCA

A NOx emission forecasting model using multiresolution least squares support vector machine (LSSVM) based on data-driven and SF-KPCA is proposed. Firstly, the data-driven model based on real operation data contains a lot of redundant information. Therefore, a Kernel Principal Component Analysis based on Similarity Function (SF-KPCA) is proposed to reduce the redundant information and optimize the modeling complexity. Then, inspired by multiresolution analysis, a multiresolution LSSVM with online adaptive update ability is conducted, which employs the total forecast error as the threshold to update the forecasting model parameters in real time. Finally, the proposed method is applied to predict the NOx emission of a coal-fired boiler. Results reveal that the online multiresolution LSSVM model with SF-KPCA maintains the prediction accuracy at a high level even if the process characteristics vary. Meanwhile, the model only needs 0.15 seconds for each forecast, which is suitable for real time monitoring in field.
Comparative Assessment of some Mineral, Amino Acid and Vitamin Compositions of Watermelon (Citrullus lanatus) Rind and Seed

The mineral, amino acid and vitamin compositions of the rind and seed flours of Charleston gray variety of watermelon (Citrullus lanatus) were investigated, using standard methods. The mineral (mg/100 g) in the rind and seed, respectively viz: calcium (28±0.01, 54±0.02), phosphorous (129.7±0.01, 614.3±0.02), sodium (11.4±0.04, 87.0±0.06), potassium (21.7±0.00, 524.0±0.04), magnesium (30.4±0.01, 509.1±0.03), manganese (1.30±0.01, 6.40±0.04), iron (4.63±0.00, 7.08±0.01), copper (0.4±0.01, 0.7±0.00) and zinc (1.25±0.01, 10.13±0.02) was, aside that of copper (±0.3), significantly (p<0.05) higher in the seed. The value of the amino acids (g/100 g) in the seed sample viz: glutamate (11.43±0.01) followed by arginine (6.12±0.06), isoleucine (4.27±0.10), aspartate (2.81±0.01), glycine (2.47±0.03), leucine (2.09±0.01), valine (1.71±0.03), alanine (1.43±0.04), lysine (1.01±0.04), histidine (0.80±0.00), tryptophan (0.40±0.00) and cystine (0.39±0.02) was higher (p<0.05) than the corresponding value (0.00±0.00) in the rind sample. The vitamin composition in mg/100 g for the rind and seed, respectively for retinol (vitamin A) (50.15±1.41, 70.10±1.04), niacin (vitamin B3) (0.04±0.1, 3.32±0.00), ascorbic acid (vitamin C) (7.23±0.02, 6.8±0.03), thiamine (vitamin B1) (0.03±0.01, 0.20±0.00), riboflavin (vitamin B2) (0.02±0.1, 0.15±0.04) and pyridoxine (vitamin B6) (0.04±0.00, 0.09±0.01) was higher (p<0.05) in the seed flour for retinol and niacin. The preponderance of these nutrients in the, especially seed, samples, may be of nutritional and physiological importance warranting further studies to increase the dietary use of these food wastes and reduce the attendant burden in the environment.