Miracle-dz/UniFAR-FTUs huggingface dataset:
THE EFFECT OF GOVERNMENT POLICY ON THE ECONOMIC GROWTH IN INDONESIA (FROM FISCAL AND MONETARY ASPECTS)

Fiscal policy and monetary policy are the two main things in financing policy and has an important role in the development realization. Along with the global economic crisis that happened in the year 2008, the public's confidence in the economy fell sharply, giving rise to the emergence of macro-economic issues, which can be influenced by the government through fiscal and monetary policy. Fiscal policy is an economic policy in order to drive to a better economy circumstances by changing the government’s revenues and expenditures. Meanwhile, through monetary policy, the government controls the money supply. This study aims to determine the effect of government policy on economic growth in Indonesia (from the aspect of Fiscal and Monetary). The independent variable in this study is fiscal policy and monetary policy (government spending, the money supply, and taxes), while its dependent variable is economic growth (Gross Domestic Product). The research data is secondary data obtained from the Central Bureau of Statistics and the Ministry of Finance during the years of 1988-2013. The method used in this research are Double Linear Regression. The results showed that: the fiscal and monetary aspects have a significant effect on economic growth in Indonesia. While the partial test results indicate that: (1) government spending for the finance routine has a positive and significant effect on economic growth in Indonesia; (2) government spending on development financing and tax revenues has a positive but not significant on economic growth in Indonesia; (3) the money supply and economic conditions has a negative effect ans significant on economic growth in Indonesia.
When to Perform a Health Impact Assessment (HIA)?

The practice of health impact assessment (HIA) is gaining popularity in Canada. HIA is different from, but also similar to, common public health practices. This not only feeds confusion about HIA, but also leads to its association with similar practices that have different aims. Although HIA is a powerful tool for promoting and protecting health, as well as a means of improving equity, its use is not relevant in all situations. Recognizing the conditions that make HIA an appropriate choice for a given situation is an issue central to the consolidation of the practice in Canada. This briefing note aims to clarify the specificity of HIA as compared to similar public health practices.
Soil physicochemical properties and its relationship with AMF spore density under two cropping systems

The objective of the study was to determine the soil physicochemical properties and its relationship with AMF spore population associated with upland rice grown under mixed and mono cropping systems. The rhizosphere soil of upland rice from the two cropping systems were collected for analysis of soil moisture content, soil temperature, pH, organic carbon, total nitrogen, available phosphorus, exchangeable potassium and AMF spore population. For isolation and enumeration of AMF spores, wet sieving and decanting method was followed. Mixed cropping harboured higher AMF spore population relative to mono cropping. Soil moisture content, total nitrogen and organic carbon was higher in mixed cropping system, whereas soil temperature, pH, available phosphorus and exchangeable potassium were higher in mono cropping system. Among the soil properties analysed, significant negative relationship of spore density with soil pH, available phosphorus and exchangeable potassium was observed in both the cropping systems and a significant positive relationship of spore density with moisture content and organic carbon was observed only in mixed cropping system. The present study suggests that cropping systems and its associate soil physicochemical properties influenced the spore population of AMF in the rhizosphere soil of upland rice.
Preparation and Photocatalytic Property of Ag Modified Titanium Dioxide Exposed High Energy Crystal Plane (001)

TiO2 exposed high energy crystal plane (001) was prepared by the sol-gel process using butyl titanate as the titanium source and hydrofluoric acid as the surface control agent. Ag-TiO2 was prepared by depositing Ag on the crystal plane of TiO2 (101) with a metal halide lamp. The surface morphology, interplanar spacing, crystal phase composition, ultraviolet absorption band, element composition, and valence state of the samples were characterized by using field emission scanning electron microscopy (FESEM), transmission electron microscope (TEM), X-ray diffraction (XRD), ultraviolet-visible absorption spectrum (UV-Vis-Abs), and X-ray photoelectron spectroscopy (XPS), respectively. The formation mechanism of high energy crystal plane (001) was discussed, and the photocatalytic activities were evaluated by following degradation of methyl orange. The results show that TiO2 exposed the (001) crystal plane with a ratio of 41.8%, and Ag can be uniformly deposited on the crystal plane of TiO2 (101) by means of metal halide lamp deposition. Under the same conditions, the degradation rate of methyl orange by deposited Ag-TiO2 reaches as much as 93.63% after 60 min using the metal halide lamp (300 W) as an illuminant, 81.89% by non-deposited samples and 75.20% by nano-TiO2, causing a certain blue shift in the light absorption band edge of TiO2. Ag-TiO2 has the best photocatalytic performance at a pH value of 2.
Design of IP Core for Sound Classification in Wireless Sensor Networks

This paper shows the current stage of development of an IP Core for sound classification in wireless sensor networks using Mel-frequency cepstrum (MFCC) and support vector machine (SVM) algorithms. This way a sensor node can do the job by itself instead of sensing to another node or a computer, this represents a great issue for power saving. The IP Core implementation was validated in software doing bird identification.
BROWN v. BOARD OF EDUCATION AND THE INTEREST-CONVERGENCE DILEMMA

After Brown v. Board of Education was decided, Professor Herbert Wechsler questioned whether the Sutwe•e Court's decision could be justified on the basis of ''neutral" /,rinci,les. To him Brown arbitrarily traded the Tights of whites not to associate with blacks in faTJor of the Tights of blacks to associate u•ith whites. In this Comfflent, Prof Derrick BeU sunests that no co'fllict of interest actually existed; for a brief ,eriod, the interests of the races cont•erged to ,nake the Brown decision inevitable. More recent Sutwe•e Court decisions, howeTJer, sunest to Professor Bell a growing diTJergence of interests that #lakes integration less feasible. He sunests the interest of blacks in quality education might now be better sen,ed by concentration on ifflJ,roTJing the quality of existing schools, whether desegregated or all-black.
Teacher Education Programs with Blended Education at Bangladesh Open University: An Assessment of Learners’ Use of Social Media

Social media (SM), a platform where people can share, exchange, and communicate their ideas and knowledge, has been the part of human’s life and has become the new trend in communication and learning. Technology has profoundly changed education and its delivery mode. This study aims to explore the usage of SM by the students, and to discover the most common resources used in teacher education. Furthermore, it aims to illustrate students’ belief about the influence of SM on their learning. This study administered validated questionnaires to students of B.Ed./M.Ed. from School of Education (SoE) of Bangladesh Open University. A non-probability sampling technique was utilized with a sample size of 195 students (females, n=117; males, n=78). The most common website used by both genders was Facebook. With regard to utilizing SM for learning, the students believed that it was beneficial. SoE needs to improve the utilization of SM by its faculty, tutors and students by developing activities and encouraging the usage of SM in blended program of teacher education program.
The effectiveness of training positive thinking skills on female student creativity

This study has been conducted aiming to determine the effectiveness of training positive thinking skills on the creativity level of the students in district 5, Tehran. This study is quasiexperimental with pretest posttest control group. The population of this study involved all female students of secondary high schools in the nonprofit schools of district 5 education in Tehran; which of this population one school was selected using random cluster sampling method and of the selected schools, two high schools were selected using random sampling. In this study, Abedi creativity questionnaire was used to assess creativity. The study was performed so that first pretest was implemented for both groups, then provided positive thinking sessions for the experimental group for 8 sessions of 90-minute duration, but no intervention was carried out for control group. After completion of training for the experimental group, both groups were put under posttest creativity test. Likewise, the research required data were collected in this way and analyzed with covariance test; findings showed that positive thinking skills significantly affect the creativity and its dimensions (innovation, flexibility, elaboration and fluency) and enhance the creativity of the students.
SENSITIVITY ANALYSIS OF SHORT-TERM TRAVEL TIME PREDICTION MODEL’S PARAMETERS

This paper discusses the optimization of different parameters of a Short-Term Travel Time Prediction model for better performance using traffic detector data. This travel time prediction model involves a number of parameters which affect the prediction in one way or other. These parameters are temporal size of pattern, spatial weight, temporal weight, search window, number of best matched patterns and prediction horizon. Due to higher dimensionality and large number of possible combinations of these parameters, genetic algorithms are employed for optimization.
This is a Preprint of: Bucchignani, E., Garcia-Aristizabal, A., and Montesarchio, M. (2014) Climate- Related Extreme Events with High-Resolution Regional Simulations: Assessing the Effects of Climate Change Scenarios in Ouagadougou, Burkina Faso. Vulnerability,

We have applied a Bayesian framework for the analysis and testing of possible non-stationarities in extreme meteorological events in an area around Ouagadougou, Burkina faso. Considering the results obtained for the historical period (1950–2005), it can be seen that for a given exceedance probability, the intensities of extreme temperature and extreme consecutive dry days ECDD data are positively correlated. The higher values of extreme temperature and ECDD are identified at the Eastern part of the domain. This result suggests that those areas can be more likely exposed to desertification processes. Some of these areas are also coincident with areas in which extreme rainfall events may occur, and this combination can be a factor amplifying the possibility of flood events. Looking at the effects of two climate change scenarios considered (RCP4.5 and RCP8.5), different patterns were found for the three variables analyzed: whereas the ECDD data indicate that the stationary model is the one that dominates most of the solutions, the extreme temperature and extreme precipitation show remarkable trend in both scenarios. In this paper, analyses of the spatial distribution of the extreme events and the temporal trends observed when considering scenarios of climate change is performed.
Comparison of Two Treatment Methods and Four Insecticides for Control of Individual Fire Ant Mounds

Injection of insecticide into fire ant mounds was compared with surface application of insecticides to evaluate these methods for control of individual fire ant colonies in Oktibbeha County, Mississippi. Results indicate that the effectiveness of injecting insecticides is about the same as surface application under normal soil moisture conditions. However, the study indicates insecticide injection is less effective than surface application when saturated soil conditions and high water tables force the ants to congregate close to or within the top of the mound. Results indicate that Amdro provided less mound mortality than either Orthene 75S or Ambush 25W. Percent mound mortality resulting from injection of Affirm 0.011G and Amdro did not differ statistically from that of the untreated check.
FINITE ELEMENT BASED MODEL FOR THE ASSESSMENT OF A PROSTHETIC FOOT STIFFNESS

Prosthetic foot stiffness behavior is not fixed. Its variation depends not only on the foot shape and material, but also on the attitude of loads on the foot during walking. Many studies have evaluated foot stiffness by different ways. The purpose of this paper is to establish a new method for stiffness assessment depends on using finite element (FE) model for a Niagara foot at different load conditions that simulate what occurs in the gait. This technique is based on developing mathematical models of the force-displacement data, then the stiffness is determined mathematically corresponding to a set of four definite loads (250 N, 500 N, 750 N and 1000 N). Results showed that the developed technique was capable of determining the stiffness at any load. The modified models showed lower displacement and higher stiffness behavior compared with the Niagara Foot which provide less dynamic performance for the users with greater stability. The suggested technique simulated a methodology for a prosthetic foot designers to interactively vary the foot geometry or material and to track their effects on the stiffness properties and/or make comparisons. This technique can easily be standardized for evaluating the stiffness of any other type of prosthetic feet.
Distributed Resource Allocation for SWIPT-Enabled Cognitive Networks With and Without Perfect CSI

Simultaneous wireless information and power transfer (SWIPT)-enabled cognitive networks (CRNs) is recognized as one of most promising techniques to improve spectrum efficiency and prolong operation lifetime in 5G and beyond. However, existing methods focus on the centralized algorithm and the power allocation under perfect channel state information (CSI). The analytical solution and the impact of the power splitting (PS) on the optimal power allocation strategy are not addressed. In addition, the influence of the PS factor on the feasible region of transit power is rarely analyzed. In this paper, we propose a joint power allocation and PS algorithm under perfect CSI and imperfect CSI, respectively, for multiuser SWIPT-enabled CRNs scenarios. The power minimization of resource allocation problem is formulated as a multivariate nonconvex optimization which is hard to obtain the closed-form solution. Hence, we propose a suboptimal algorithm to alternatively optimize the power allocation and PS coefficient under the cases of the low-harvested energy region and the high-harvested energy region, respectively. Moreover, a closed-form distributed power allocation and PS expressions are derived by the Lagrangian approach. Simulation results confirm the proposed method with good robustness and high energy efficiency.
Effects of Highly Oxygenated Water in a Hyperuricemia Rat Model

Recent years have seen a rapidly rising number of oxygenated water brands that claim to impart health benefits and increase athletic performance by improving oxygen availability in the body. Drinks with higher dissolved oxygen concentrations have in recent times gained popularity as potential ergogenic aids, despite the lack of evidence regarding their efficacy. The aim of this study was to characterize oxygenated water and assess the improvement in uric acid metabolism while identifying performance enhancements in animals administered oxygenated water. Oxygenated water was characterized by hydrogen and oxygen nuclear magnetic resonance (NMR) spectroscopy. Hyperuricemia in rats was induced by treatment with oxonic acid potassium salt, and the animals were given oxygenated drinking water before, during, or after oxonic acid treatment. Serum uric acid was measured to confirm the effects on uric acid metabolism. Following oxygenation, the full width at half maximum (FWHM) was reduced to 11.56 Hz and 64.16 Hz in the hydrogen and oxygen NMR spectra, respectively. Oxygenated water molecule clusters were reduced in size due to the reduction in FWHM. Oxygen concentration did not vary significantly with increased temperature. However, standing time played a critical role in the amount of oxygen dissolved in the water. The rat studies indicated that oxygenated water reduced serum uric acid levels and their rate of increase and enhanced uric acid metabolism. A significant improvement in uric acid metabolism and rate of increase in serum uric acid concentration was observed in hyperuricemic rats administered oxygenated water compared to that in rats administered regular water. High oxygen concentrations enhanced the rate of oxygen absorption, leading to increased glycolysis and mitochondrial protein synthesis. Therefore, oxygenated water is a potential adjuvant therapy or health food for treatment of hyperuricemia.
Justifying your creation of a living theory methodology in the creation of your living educational theory

I am aware of the responses of some supervisors of master’s dissertations and doctoral theses when they are presented with draft writings on an individual’s living educational theory. They say that they want a fuller justification of the methodological approach used in relation to narrative research, phenomenological research, grounded theory research, ethnographic research or case study research. In my experience this kind of justification is not often useful to the student but is very helpful in revealing the methodological and epistemological assumptions in the supervisor’s thinking.
Sensitization of Carboplatinum- and Taxol-Resistant High-Grade Serous Ovarian Cancer Cells Carrying p53, BRCA1/2 Mutations by Emblica officinalis (Amla) via Multiple Targets

Background: Ovarian cancer (OC), the most lethal gynecologic malignancy, is highly resistant to current treatment strategies. High-grade serous epithelial ovarian cancer (HGSOC) cells with increased somatic mutations and genomic instability and the resulting heterogeneous mutant phenotypes are highly resistant to therapy. Plant-derived natural products, including Amla (Emblica officinalis) extract (AE), have demonstrated potent anti-neoplastic properties. Recently we demonstrated that AE inhibits cell growth and the expression of angiogenic factors in OVCAR3 and SKOV3 OC cells in vitro as well as in xenografts in vivo. The goal of this study was to determine the anti-proliferative, anti-angiogenic and anti-metastatic effects of AE on carboplatinum- and taxol-resistant HGSOC cells carrying p53, BRCA1/2 mutations. Methods: Anti-proliferative and anti-metastatic effects of AE on recently characterized carboplatinum- and taxol-resistant HGSOC cells (TOV3041G, OV866(2), OV4453 and, OV4485) was determined using the MTT, migration, invasion and spheroid assays in vitro. To understand the mechanism of AE-induced changes in angiogenesis-related hypoxia-inducible factor 1α (HIF-1α) and insulin growth factor receptor 1 (IGF1R), and EMT-associated SNAIL1 and E-cadherin proteins were studied using immunostaining and Western blotting. In vivo effects of AE were determined using mouse xenograft tumor model of OC developed by subcutaneous injection of OV4485 cells that carry mutant p53 and BRCA1, most aggressive and resistant among HGSOC cell lines used in this study. Tumor growth was measured using morphometry. Immunostaining and Western blotting were used to determine changes in Ki67 (proliferation marker), CD31 (angiogenesis marker) as well as changes in HIF-1α, IGF1R, SNAIL1 and E-cadherin proteins. Results: AE significantly attenuated migration and invasiveness properties of all tested HGSOC cell phenotypes (P≤0.001), significantly reduced the expression of HIF-1α, IGF1R, and SNAIL1 and increased the expression of E-cadherin in all tested HGSOC cell lines (P=<0.05). Oral administration of AE for 4 weeks caused a significant regression of mouse xenograft tumor (>60%) that derived from OV4855 cells and decreased the expression of endothelial cell antigen-CD31, HIF-1α, IGF1R and SNAIL1 and increased the expression of E-cadherin in tumor tissues. Conclusions: AE sensitizes platinum- and taxol-resistant heterogenous HGSOC cells carrying mutations in p53, BRCA1/2 genes, and attenuates their malignant characteristics through targeting key signaling mechanisms of angiogenesis and metastasis. AE is a potential adjunct therapeutic agent for treating resistant, mutant, heterogenous OC.
A Framework for Unsupervised Extraction of Social Networks from Textual Materials

- Digital communication is increasingly widespread and contains a wealth of information including social context. Understanding the social context within data can provide meaningful insights that contribute valuable knowledge for many purposes. This paper presents the design of a domain-independent framework for extracting social networks from textual material using an unsupervised machine learning approach. The design is discussed with motivation given for various design choices, social graph terminology is introduced, and the evaluation of an initial implementation of a social network extraction and graphing application is presented which points to future directions for this research.
Trade Policy with Intermediate Inputs Trade

The paper aims to characterize the tariff policy for final goods as well as for intermediate inputs in the model of heterogeneous firms. We developed a theoretical model to show how the tariff on final goods and intermediate inputs affect the welfare, productivity, and the entry of firms in a country. We formulate the tariff level selection choice available to the policymaker with respect to four policy experiments. These policy experiments include; unilateral tariff selection, cooperative tariff selection, non-cooperative tariff selection, and political tariff selection. Our results show that at the Stackelberg equilibrium, which results from the unilateral tariff selection, the policy level selected by the leader is higher compared to the rest of the experiments. While, in the case of cooperation, free trade will be the equilibrium outcome. Since, the welfare gains of one country come at the cost of others, therefore, zero tariffs are the optimal strategy for both countries. At Nash equilibrium, which results of non-cooperative tariff policy selection, both countries select policy level simultaneously and applied positive tariff rates for both intermediate inputs and final goods. Lastly, at political equilibrium, which results after considering lobby by the heterogeneous firms, the policy level selection diverges from benchmark unilateral level. To illustrate our tariff policy formulations quantitively, we use the US import data to estimate the policy levels. These estimates are then compared the factual tariff rates to evaluate the degree of political interference of lobbying firms in the policy level selection.
Modular Forms: Arithmetic and Computation

where Γ1(N) is the congurence subgroup of SL2(Z) consisting of matrices as above with a− 1, c, and d− 1 divisible by N . Modular forms play a central role in number theory, one far larger than that which the scope of any week-long workshop might hope to cover. Our workshop focused on algebraic aspects of their study, especially those amenable to computation. A modular form f comes endowed with a q-expansion, which is essentially its Taylor series about ∞. One often writes f as its q-expansion: