Miracle-dz/UniFAR-FTUs huggingface dataset:
The 16th INTERNATIONAL DAAAM SYMPOSIUM “Intelligent Manufacturing & Automation: Focus on Young Researchers and Scientists” 19-22nd October 2005 NEURAL NETWORK WITHOUT BIAS NEURON FOR HIDDEN LAYER

In this paper the nonlinear dynamic discrete-time neuron model, the so-called Dynamic Elementary Processor (DEP) is proposed. This dynamic neuron disposes of local memory, in that it has dynamic states. To accelerate the convergence of proposed extended dynamic error-back propagation learning algorithm, the adaptive neuron activation is applied. Instead of most popular unipolar and bipolar Sigmoidal neuron activation functions, the Gauss activation function with adaptive parameters is proposed. Based on the DEP neuron with adaptive activation function in hidden layer, and without Bias neuron for hidden layer, a Dynamic Multi Layer Neural Network is proposed and used for the identification of discrete-time nonlinear dynamic system.
0 60 73 35 v 1 1 3 Ju l 2 00 6 Molecular dynamics of shock fronts and their transitions in Lennard-Jonesium and

We develop a Continuous Hugoniot Method for the efficient simulation of shock wave fronts with molecular dynamics. This approach achieves a significantly improved efficiency in the generation of a dense sampling of steady-state shock front states, and allows for the study of shocks as a function of a continuous shock strength parameter, vp. This is, to our knowledge, the first attempt to map out the Hugoniot in a continuous fashion. We first apply this method to shocks in single-crystal Lennard-Jonesium along the 〈100〉 direction. Excellent agreement is found with both the published Lennard-Jones Hugoniot and results of conventional simulation methods. We next present a continuous numerical Hugoniot for shocks in tin which agrees to within 6% with experimental data. We study the strong shock to elastic-plastic shock transition in tin and find that it is a continuous transition consistent with a transcritical bifurcation.
50 GHz Directly-Modulated Injection-Locked 1 . 55 μ m VCSELs

The resonance frequency of several 1.55 μm VCSELs is enhanced from 7 GHz up to ~50 GHz with the optical injection locking technique. This is the highest value reported for directly modulated lasers. 2005 Optical Society of America OCIS codes: (250.7260) Vertical cavity surface emitting lasers, (060.4080) Modulation.
*Title: Factors Affecting Information Obtained for the Purpose of Decision- Making Using Mobile Phones

*Abstract: Mobile phone adoption and usage is increasingly gaining in importance among users at the bottom of the economic pyramid (BOP). This paper investigates the phenomenon of information obtained through voice services and SMS via mobile phones, among users at the BOP to examine the impact of the two services in the intention to continue using mobile telecommunication. This investigation brings together theories on technology adoption and the information search paradigm to identify factors that affect information obtained through mobile phones. A structured survey conducted among individual telecommunication users as part of the Teleuse4@BOP project by LIRNEasia (a think tank initiative based in Colombo, Sri Lanka), provides the required data from owners of mobile phones from the BOP population. Findings reveal that perceived cost and perceived benefits significantly affect the information obtained using mobile phones using voice services. However, contrary to expectations, findings reveal that perceived ease of use has a negative relationship with information obtained using SMS services. Findings also reveal that subjective norm impacts information obtained more in the context of SMS services compared to voice services. These insights should prove helpful for policy formulation as well as for business development. The paper ends with a discussion on contributions, and directions for future research.
15-Deoxy-Δ12,14-prostaglandin J2 Induces Apoptosis and Upregulates SOCS3 in Human Thyroid Cancer Cells

The cyclopentenone prostaglandin 15-deoxy-Δ12,14-prostaglandin J2 (15d-PGJ2) is a natural ligand of peroxisome proliferator-activated receptor gamma (PPAR-γ) and a potential mediator of apoptosis in cancer cells. In the present study, we evaluated the effect of 15d-PGJ2 in human thyroid papillary carcinoma cells (TPC-1) using different doses of 15d-PGJ2 (0.6 to 20 μM) to determine IC50 (9.3 μM) via the MTT assay. The supernatant culture medium of the TPC-1 cells that was treated either with 15d-PGJ2 or with vehicle (control) for 24 hours was assessed for IL-6 secretion via CBA assay. RT-qPCR was used to evaluate mRNA expression of IL-6, SOCS1, SOCS3, and STAT3. TPC-1 cells treated with 15d-PGJ2 decreased the secretion and expression of IL-6 and STAT3, while it increased SOCS1 and SOCS3. Overall, we demonstrated that 15d-PGJ2 downregulated IL-6 signaling pathway and led TPC-1 cells into apoptosis. In conclusion, 15d-PGJ2 shows the potential to become a new therapeutic approach for thyroid tumors.
D ec 2 01 8 D-dependence of the gap between the critical temperatures in the one-dimensional gauge theories

We investigate the temperature dependence (gap) between the uniform/nonuniform and the non-uniform/gapped transitions in the large-N one-dimensional bosonic gauge theories (1D models) with D matrix scalar fields on a S1-circled space. We use the equations of its critical temperatures given in the 1/D expansion in [1]. Those transitions are related with the Gregory-Laflamme (GL) instabilities in the gravities and the Rayleigh-Plateau (RP) instabilities in the fluid dynamics, and qualitative similarities between those are expected. We find that the tendency in the dimensional dependence of the gap is opposite from those in the gravities and fluid dynamics. This would be interesting as a counterexample of the gauge/gravity and gauge/fluid correspondences. shingo.portable(at)gmail.com
Title : Glycosaminoglycan Overproduction in the Aorta Increases Aortic Calcification in Murine Chronic Kidney Disease

Background: Vascular calcification accompanying chronic kidney disease (CKD) increases the mortality and morbidity associated with cardiovascular disorders, but no effective therapy is available. We hypothesized that glycosaminoglycans (GAG) may contribute to osteoblastic differentiation of vascular smooth muscle cells (VSMCs) during vascular calcification. Methods and Results: We used exostosin-like glycosyltranferase 2 deficient (EXTL2 KO) mice expressing high levels of GAG in several organs including the aorta. We performed 5/6 subtotal nephrectomy and fed the mice a high-phosphate diet to induce CKD. Overexpression of GAG in the aorta enhanced aortic calcification in CKD in EXTL2 KO mice. Ex vivo and in vitro, matrix mineralization in aortic rings and VSMCs of EXTL2 KO mice was augmented. Furthermore, removal of GAG in EXTL2 KO and WT mice-derived VSMCs effectively suppressed calcium deposition in a high-phosphate environment. Conclusions: These results illustrate an important role for GAG in the development of vascular calcification. Manipulation of GAG expression may have beneficial effects on the progression of vascular calcification in CKD patients.
How fruitful is the case study research ? 1

This paper analyses the case study research methodology to answer the question about how fruitful is this method and whether or not it is worthy to be applied in social sciences. The case study method has been questioned and criticised along the history by some methodologists; others have defended it. The authors concluded that the case study method is generally criticized because it is arguably misunderstood. They recommend to researchers to follow a framework or prespecified procedures to avoid false hypotheses and generalize from relative and ambiguous conclusions.
‘ Poverty , Equity and Growth in Developing and Transition Countries : Statistical Methods and Empirical Analysis

In this paper, citizens vote in order to influence the election outcome and in order to signal their unobserved characteristics to others. The model is one of rational voting and generates the following predictions: (i) The paradox of not voting does not arise, because the benefit of voting does not vanish with population size. (ii) Turnout in elections is positively related to the size of the local community and the importance of social interactions. (iii) Voting may exhibit bandwagon effects and small changes in the electoral incentives may generate large changes in turnout due to signaling effects. (iv) Signaling incentives increase the sensitivity of turnout to voting incentives in communities with low opportunity cost of social interaction, while the opposite is true for communities with high cost of social interaction. Therefore, the model predicts less volatile turnout for the latter type of communities.
ESI ‐ Tand ation of eir pharm ced degra

A simple, rob spectrometric olmesartan m pharmaceutica 50×2.1 mm (1 and 0.1% form reaction moni electrospray io and 3.0‐50.0 n acceptable. Th limits of quan method was pharmaceutica degradation of ICH guidelines reported meth method in qua
Geological Survey Water-Quality Assessment of the Trinity River Basin , Texas Pesticides in a Coastal Prairie Agricultural Area , 1994-95 Open-File Report 96-124

Agriculture is a major land use in the coastal prairie area located in the southern part of the Trinity River Basin. Crops grown in the area include rice, sorghum, and soybeans. Pesticide-use estimates for the area show that compounds with the highest use are the herbicides: molinate, propanil, thiobencarb, metolachlor, acifluorfen, bentazon, and atrazine and the insecticides: carbaryl and methyl parathion. More than 20 pesticide samples collected from each of three streams in the coastal prairie resulted in detections of 29 different pesticide compounds. The most frequently detected compounds were the herbicides: atrazine, metolachlor, and molinate, which were detected in more than 75 percent of the samples. Herbicides were detected more frequently than insecticides. Maximum concentrations of atrazine, metolachlor, and molinate occurred in the spring and were 4, 1.9, and 200 micrograms per liter (\lg/L), respectively. Almost all concentrations of atrazine and metolachlor were below drinking water standards; no standard is available for molinate. Concentrations and estimated loads and percent of applied compound lost to the streams were generally higher in the watersheds where more of the pesticides were applied to crops.
ENVIRONMENTAL KUZNETS CURVE IN THE MINT COUNTRIES: EVIDENCE OF LONG-RUN PANEL CAUSALITY TEST1

The environmental Kuznets curve hypothesis (EKC) urges that there is an inverse-U-shaped relationship between carbon dioxide emission per capita and income per capita. Although there is lots of paper attempting to test the EKC hypothesis, the reported empirical results and conclusions are ambiguous. Departing from previous literature, this study focusses on two issues. Firstly, it examines the MINT countries which is neglected in the extend EKC literature. The MINT countries consist of Mexico, Indonesia, Nigeria and Turkey. The annual GDP per capita and carbon dioxide emissions per capita were obtained from the World Development Indicators 2013. The data set includes the period of 1967-2010, due to the availability of data. Secondly, the long run panel causality test suggested by Canning and Pedroni (2008) is used the test EKC hypothesis. Results of this study supported the EKC hypothesis only in the case of Nigeria.
DISTRICT DEVELOPMENT – THE NEW HOPE FOR EDUCATIONAL REFORM

1. The rationale for focusing development efforts at the district level 1 2. The realities of school districts in South Africa 2 2.1 The work of school districts 4 2.2 Challenges facing distric ts in South Africa 6 2.2.1 External conditions 7 2.2.2 Internal conditions 7 3. The effective school district 8 3.1 Selected features of effective educational districts 9 3.2 Effectiveness a caution 11 4 Improving school districts 12 4.1. 1 Focussing on primary operations 13 4.1. 2 Re-culturing 13 4.1. 3 Re-structuring 14 4.1. 4 Re-staffing 15 4.1. 5 Review of internal operations 16 4.1. 6 Rational planning 16 4.1. 7 Human resource development 16 4.2 The implementation of district development initiatives 18 5 District strategies for improving instructional effectiveness and effecting school development 19
History of Geo-and Space SciencesOpe

Accurate assessments of anthropogenic carbon dioxide (CO2) emissions and their redistribution among the atmosphere, ocean, and terrestrial biosphere is important to better understand the global carbon cycle, support the climate policy process, and project future climate change. Present-day analysis requires the combination of a range of data, algorithms, statistics and model estimates and their interpretation by a broad scientific community. Here we describe datasets and a methodology developed by the global carbon cycle science community to quantify all major components of the global carbon budget, including their uncertainties. We discuss changes compared to previous estimates, consistency within and among components, and methodology and data limitations. CO 2 emissions from fossil fuel combustion and cement production ( EFF) are based on energy statistics, while emissions from LandUse Change ( ELUC), including deforestation, are based on combined evidence from land cover change data, fire activity in regions undergoing deforestation, and models. The global atmospheric CO 2 concentration is measured directly and its rate of growth ( GATM ) is computed from the concentration. The mean ocean CO 2 sink (SOCEAN) is based on observations from the 1990s, while the annual anomalies and trends are estimated with ocean models. Finally, the global residual terrestrial CO 2 sink (SLAND ) is estimated by the di fference of the other terms. For the last decade available (2002–2011), EFF was 8.3±0.4 PgC yr−1, ELUC 1.0±0.5 PgC yr−1, GATM 4.3±0.1 PgC yr−1, SOCEAN 2.5±0.5 PgC yr−1, and SLAND 2.6±0.8 PgC yr−1. For year 2011 alone,EFF was 9.5±0.5 PgC yr−1, 3.0 percent above 2010, reflecting a continued trend in these emissions; ELUC was 0.9±0.5 PgC yr−1, approximately constant throughout the decade;GATM was 3.6±0.2 PgC yr−1, SOCEAN was 2.7±0.5 PgC yr−1, andSLAND was 4.1±0.9 PgC yr−1. GATM was low in 2011 compared to the 2002–2011 average because of a high uptake by the land probably in response to natural climate variability associated to La Ni ña conditions in the Pacific Ocean. The global atmospheric CO 2 concentration reached 391 . 31±0.13 ppm at the end of year 2011. We estimate thatEFF will have increased by 2.6 % (1.9–3.5 %) in 2012 based on projections of gross world product and recent changes in the carbon intensity of the economy. All uncertainties are reported as ±1 sigma (68 % confidence assuming Gaussian error distributions that the real value lies within the given interval), reflecting the current capacity to characterise the annual estimates of each component of the global carbon budget. This paper is intended to provide a baseline to keep track of annual carbon budgets in the future. All data presented here can be downloaded from the Carbon Dioxide Information Analysis Center (doi:10.3334/CDIAC/GCPV2013).
Sadeghian Simulation of Large Deformations of Rubbers by the RKPM Method

In this paper processes including large deformations of a rubber with hyperelastic material behavior are simulated by the RKPM method. Due to the loss of kronecker delta properties in the mesh less shape functions, the imposition of essential boundary conditions consumes significant CPU time in mesh free computations. In this work transformation method is used for imposition of essential boundary conditions. A RKPM material shape function is used in this analysis. The support of the material shape functions covers the same set of particles during material deformation and hence the transformation matrix is formed only once at the initial stages. A computer program in MATLAB is developed for simulations. Keywords—RKPM, large deformations, transformation, essential boundary conditions.
J un 2 00 6 AEI-2006-046 Instantons and Conformal Holography

We study an AdS/CFT toy model where the bulk and the boundary sides are both under control. A conformally coupled scalar with a φ potential in an AdS4 background is holographically related to a massless scalar with a φ interaction in three dimensions. The bulk and boundary classical solutions of the equations of motions are matched. Of particular interest is the matching of the bulk and the boundary instanton solutions which underlies the relationship between bulk and boundary vacua with spontaneously broken conformal invariance. Using a form of radial quantization we show that quantum states in the bulk correspond to multiply-occupied single particle quantum states in the boundary theory. This allows us to explicitly identify the boundary composite operator which is dual to the bulk scalar, at the free theory level as well as in the instanton vacuum. We conclude with a discussion of possible implications of our results.
Open Archive TOULOUSE Archive Ouverte (OATAO)

After thirty years of researching, the photometric stereo technique for 3D shape recovery still does not provide reliable results if it is not constrained into very well-controlled scenarios. In fact, dealing with realistic materials and lightings yields a non-linear bidirectional reflectance distribution function which is primarily difficult to parametrize and then arduous to solve. With the aim to let the photometric stereo approach face more realistic assumptions, in this work we firstly introduce a unified irradiance equation describing both diffuse and specular reflection components in a general lighting setting. After that, we define a new equation we call unifying due to its basic features modeling the photometric stereo problem for heterogeneous materials. It is provided by making the ratio of irradiance equations holding both diffuse and specular reflections as well as non-linear light propagation features simultaneously. Performing a wide range of experiments, we show that this new approach overcomes state-of-the-art since it leads to a system of unifying equations which can be solved in a very robust manner using an efficient variational approach.
COLLABORATIVE AND INDIVIDUAL APPROACH IN THE FLIPPED LEARNING BY ASSESSING STUDENTS ON THE BASIS OF SPATIAL DATA QUALITY CONTROL

A variant of flipped learning based on intensive usage of geomedia in geography and geo­ informatics has been developed and presented in the article. Students assessed quality of mapping according to ISO standard. The results show that individuals are considerably better than groups, especially in tasks which required the use of critical judgement, deep­ er understanding and creative thinking. However, groups are more successful in finding unique differences, where synergy effect of the collaborative learning is an important factor.
Use of Vertbrate Animals t ~ l Change f̂t No Change Since Previous Submision

7 PROGRES REPORT SUMMARY GRANT NUMBER LM06726-02 PRI NCI PAL I NVESTI GATOR OR PROGRAM DI RECTOR Norberto Ezquera, Ph.D. PERI OD COVERED BY THI S REPORT FROM 02/01/98 THROUGH 01/31/99 APUCANT ORGANI ZATI ON Georgi a Institute of Technol ogy TILE OF POJECT (REPEAT TITLE THORN IN ITEM 1 ON FIRST PAGE) Knowl edge Di scovery in Distributed Cardi ac I magebases . a. Human Subj ect s (COMPLETE HEM 7 ON THE FACE PAGE) Use of Human Subj ect s Q Change No Change Si nce Pr evi ous Submi si on b. Ver tbrt e Ani mal s (COMPLETE ITEM BON THE FACE PAGE) Use of Ver tbr at e Ani mal s t~l Change f̂t No Change Si nce Pr evi ous Submi si on
Effective and Ineffective Lecturers: University Students’ Perspective in Zimbabwe

Abstract The study investigated university students’ perspective on effective and ineffective lecturers. A qualitative survey design was used. A letter questionnaire was used to collect the data. Seventy- seven students participated in the study. Content analysis was used in analyzing the data. The study revealed that effective lecturers were well organized, competent, always involved students, friendly and readily available. The study found that effective lecturers were regarded as fair in their marking. The study also found that ineffective lecturers did not plan for their lectures, came late for lectures, were not knowledgeable, were not contributing to students’ seminar presentations, were intimidating students, were not involving students, were boasting about their qualifications and family and were biased in their marking. It emerged that ineffective lecturers’ marking did not highlight strengths and weaknesses of students. Recommendations were made to improve on the effectiveness of university lecturers.
A Hierarchical Framework to Generate Robust Biped Locomotion Based on Divergent Component of Motion

Keeping the stability can be counted as the essential ability of a humanoid robot to step out of the laboratory to work in our real environment. Since humanoid robots have similar kinematic to a human, humans expect these robots to be robustly capable of stabilizing even in a challenging situation like while a severe push is applied. This paper presents a robust walking framework which not only takes into account the traditional push recovery approaches (e.g., ankle, hip and step strategies) but also uses the concept of Divergent Component of the Motion (DCM) to adjust next step timing and location. The control core of the proposed framework is composed of a Linear-Quadratic-Gaussian (LQG) controller and two proportional controllers. In this framework, the LQG controller tries to track the reference trajectories and the proportional controllers are designed to adjust the next step timing and location that allow the robot to recover from a severe push. The robustness and the performance of the proposed framework have been validated by performing a set of simulations, including walking and push recovery using MATLAB. The simulation results verified that the proposed framework is capable of providing a robust walking even in very challenging situations.
Sparse $\ell_1$ and $\ell_2$ Center Classifiers.

The nearest-centroid classifier is a simple linear-time classifier based on computing the centroids of the data classes in the training phase, and then assigning a new datum to the class corresponding to its nearest centroid. Thanks to its very low computational cost, the nearest-centroid classifier is still widely used in machine learning, despite the development of many other more sophisticated classification methods. In this paper, we propose two sparse variants of the nearest-centroid classifier, based respectively on $\ell_1$ and $\ell_2$ distance criteria. The proposed sparse classifiers perform simultaneous classification and feature selection, by detecting the features that are most relevant for the classification purpose. We show that training of the proposed sparse models, with both distance criteria, can be performed exactly (i.e., the globally optimal set of features is selected) and at a quasi-linear computational cost. The experimental results show that the proposed methods are competitive in accuracy with state-of-the-art feature selection techniques, while having a significantly lower computational cost.
Extra Proximal-Gradient Inspired Non-local Network

Variational method and deep learning method are two mainstream powerful approaches to solve inverse problems in computer vision. To take advantages of advanced optimization algorithms and powerful representation ability of deep neural networks, we propose a novel deep network for image reconstruction. The architecture of this network is inspired by our proposed accelerated extra proximal gradient algorithm. It is able to incorporate non-local operation to exploit the non-local self-similarity of the images and to learn the nonlinear transform, under which the solution is sparse. All the parameters in our network are learned from minimizing a loss function. Our experimental results show that our network outperforms several state-of-the-art deep networks with almost the same number of learnable parameter.