Miracle-dz/UniFAR-FTUs huggingface dataset:
Optimization on Yeast Lipid Production of Psuedozyma sp . with Response Surface Methodology for Biodiesel Manufacturing

The microbial lipid was interested to be an alternative feedstock of biodiesel production. The lipid producing condition of oleaginous yeast Psuedozyma sp. was optimized. The response surface methodology (RSM) was applied with central composite design (CCD) in this study. The experiment results showed that a second-order polynomial regression equation was achieved with good coefficient of determination in analysis of variance. The validation tests were performed and the experimented results were not significant different to the predicted value, thus confirming the reliability of empirical model in describing lipid production. Moreover, the fatty acid compositions were investigated. The results revealed that the accumulated lipid mainly consisted of 85% in C16:C18 fatty acids. In addition, yeast biodiesel properties were predicted and also provided a satisfactory property. It was suggested that lipid of Psuedozyma sp. was suitable to be an alternative feedstock for biodiesel manufacturing.
Probucol decreases 8-iso-PGF 2 α and MMP-9 in patients with unstable angina after percutaneous coronary intervention

Oxidative stress and lipid peroxidation play important roles in the development of unstable angina (UA). Probucol reduces inflammation and oxidative stress. The aim of this study was to evaluate the effects of probucol on levels of 8-iso-prostaglandin F2alpha (8-iso-PGF2α) and matrix metalloproteinase (MMP)-9 in patients with UA that underwent percutaneous coronary intervention (PCI). This was a single-center prospective cohort study of consecutive adult patients with UA that underwent PCI between March 2016 and July 2016 at the Yidu Central Hospital of Weifang (China). Control patients received conventional medication (aspirin, clopidogrel, rosuvastatin, and isosorbide mononitrate). In addition to conventional therapy, patients in the probucol group took oral probucol (250 mg bid) for 3 months. Levels of 8-iso-PGF2α and MMP-9 were measured the day after PCI and after 3 months. Major adverse cardiac events (MACE) were evaluated during follow-ups (mean of 14 months). Eighty-three patients were enrolled: 40 controls and 43 treated with probucol. Levels of MMP-9 of control and probucol groups were decreased by 14.0% and 47.9%, respectively, at 3 months after PCI (P=0.003). Levels of 8-iso-PGF2α of control and probucol groups were decreased by 13.1% and 49.8%, respectively, at 3 months after PCI (P=0.001). One patient in the control group underwent a coronary angiography for angina pectoris recurrence. There was no acute myocardial infarction or death events in either group during follow-ups. Probucol with rosuvastatin may significantly decrease 8-iso-PGF2α and MMP-9 in patients with UA after PCI.
How Network Characteristics of Researchers Relate to Their Citation Indicators – A Co-Authorship Network Analysis Based on Google Scholar

The most common quantitative estimates of scientific performance are based on citation indices, and it is meaningful to identify what affects these indicators. In this work, we analyze the correlations between the citation characteristics of researchers and their co-authorship network parameters, which indicate the position of scientists in an academic network. To surpass the shortcoming of previous works we use a large sample and separate researchers by the year of their first citation. For constructing a co-authorship network, we used data about researchers from different disciplines, who have profiles in Google Scholar. The results of a count data regression model indicate that citations positively correlate with the number of co-authors, with position of the researcher in the co-authorship network (closeness centrality), and with the average number of co-author' citation. Also we reveal that the h-index and the i10-index are significantly associated with the number of co-authors and the average number of co-author citations. Based on these results, we can conclude that researchers who maintain more contacts and are more active than others have better bibliometric indicators on the average
Evaluating Planning for Policy Search

Training using randomized simulations can be seen as a model-based reinforcement learning method. By providing a model, this training blends planning and reinforcement learning. We propose the use of kinodynamic planning methods as part of a domain-randomized, model-based reinforcement learning method and to learn in an off-policy fashion from solved planning instances. In order for this to be an improvement, using the planning method needs to have beneficial properties over pure reinforcement learning. On a simple toy domain, we show an improved state space coverage over PPO, while still also finding trajectories with good returns.
PROTOCOL: Improving newborn survival in rural southern Tanzania: a cluster-randomised trial to evaluate the impact of a scaleable package of interventions at community level with health system

Borghi, J; Cousens, S; Hamisi, Y; Hanson, C; Jaribu, J; Manzi, F; Marchant, T; Mkumbo, E; Mshinda, H; Penfold, S; +4 more. Schellenberg, D; Schellenberg, D; Shamba, D; Tanner, M; (2013) STUDY PROTOCOL: Improving newborn survival in rural southern Tanzania: a cluster-randomised trial to evaluate the impact of a scaleable package of interventions at community level with health system strengthening. Other. Authors. DOI: https://doi.org/10.17037/PUBS.01343294 (Unpublished) Downloaded from: http://researchonline.lshtm. ac.uk/1343294/ DOI: https://doi.org/10.17037/PUBS.01343294
Subscription Alternations: Usage of Canceled Journal Subscriptions via Article Delivery Methods

ABSTRACT In response to a cancellation of numerous journal subscriptions, Bradley University's Cullom-Davis Library added Copyright Clearance Center's Get it Now service in 2012. It was anticipated that this service, in combination with other document delivery services, ILLiad interlibrary loan service and the purchase of articles online directly from publishers would be used to alleviate the lost subscriptions by library users. This article attempts to answer that question by examining the usage of the canceled titles after the subscriptions were discontinued.
Towards a Computational Framework for Winograd Schemas Resolution

This article introduces a preliminary version of a computational framework for the solution of Winograd Schemas, a recently proposed alternative to the Turing test. These are pairs of sentences that differ in only one or two words and that contain an ambiguity that is resolved in opposite ways in the two sentences. Since Winograd schemas are constructed in such a way to be opaque to simple anaphora resolution techniques, Winograd Schema resolution requires the use of a large amount of world knowledge and reasoning for its resolution. The framework developed here translates each schema in First Order Logic relations through the use of Natural Language Processing tools and task-related assumptions. Then, it constructs a context of commonsense concepts and relations by querying the ConceptNet semantic network, stored in a graph database to simplify the querying process. The context is then expressed in First Order Logic, and finally one of the two candidates is selected by performing reasoning through an Automatic Theorem Prover which applies deduction over the expressions constructed earlier. We test our framework on a reduced subset of the Definite Pronoun Resolution Dataset, a dataset akin to the Winograd schemas one, and analyse the obtained results paying particular attention to the components for which there is room for improvement. Keywords—Winograd Schemas, Coreference Resolution, First Order Logic, Logic, Knowledge Bases, Semantic Networks, Graph Databases, Reasoning, Automatic Theorem Proving.
FRACTAL ANALYSIS OF NATURAL AND SYNTHETIC FRACTURE SURFACES OF GEOTHERMAL RESERVOIR ROCKS

The hydraulic behavior of geothermal reservoirs is influenced by many different fracture properties. Roughness of the fracture surface is one of them that needs to be considered in modeling studies. This requires a quantification of fracture surface roughness. This study uses fractal geometry to describe the fracture surfaces quantitatively. First, the outcrop samples of natural fractures that represent common geothermal reservoir rocks (metamorphized limestone, crystallized limestone, marble etc.), are selected and the fractal dimension of these samples are computed after data acquisition. An automatically controlled device is used to map the fracture roughness. A 32x32 data set is acquired, 1 mm, apart using the device. Then, the fractal dimensions of single fracture profiles and the fracture surfaces are measured using different fractal methods (variogram analysis and power spectral density, respectively) that are applicable to self-affine fractal data sets. Similar analysis is applied to synthetically-developed fracture surfaces. For this purpose, synthetic fractures are created by indirect tensional stress experiments on a wide variety of rock samples that represent very common geothermal reservoir rock types. Eventually, the fractal characteristics are related to the rock type and initial-boundary stress conditions. Preliminary results of an extensive experimental study are provided in this paper. The results show that the fracture surfaces present fractal characteristics. However, power spectral density and variogram analysis yield inconsistent results for natural samples while they exhibit accordance for synthetic fracture surfaces. Also, the relationship between fracture development parameters and fractal dimension is analyzed for synthetic fractures.
revalence of fibromyalgia in patients treated at the ariatric surgery outpatient clinic of Hospital e Clínicas do Paraná-Curitiba eborah

Introduction: Fibromyalgia (FM) is a chronic pain syndrome characterized by generalized pain. It is known that obese patients have more skeletal muscle pain and physical dysfunction than normal weight patients. Therefore, it is important that the early diagnosis of FM be attained in obese patients. Objective: To determine the prevalence of FM in a group of obese patients with indication of
Aalborg Universitet Parameter Estimation of Dynamic Multi-zone Models for Livestock Indoor Climate

In this paper, a multi-zone modeling concept is proposed based on a simplified energy balance formulation to provide a better prediction of the indoor horizontal temperature variation inside the livestock building. The developed mathematical models reflect the influences from the weather, the livestock, the ventilation system and the building on the dynamic performance of indoor climate. Some significant parameters employed in the climate model as well as the airflow interaction between each conceptual zone are identified with the use of experimental time series data collected during spring and winter at a real scale livestock building in Denmark. The obtained comparative results between the measured data and the simulated output confirm that a very simple multi-zone model can capture the salient dynamical features of the climate dynamics which are needed for control purposes.
Phenolic Content and Related Antioxidant Activities in in vitro Cultures of Cephalotaxus Harringtonia L . Grown in Egypt

Quantitative estimation of the total phenolics, total flavonoids, antioxidant activity and HPLC analysis of phenolic compounds in the mother plant, in vitro shooting and callus cultures of Cephalotaxus harringtonia L. grown in Egypt were measured. For shooting behaviour, using Woody plant medium (WPM) with 2 mg/l Benzyladinin (BA) in the second subculture gave the highest number of shootlet/explant (2.33 shootlet/explant) and shootlet length (2.67cm). It gave the highest content of total phenolics (67.916 mg/g d.w.) and the highest content of flavonoids (24.410 mg/g d.w.). For callus formation adding 6 mg/l naphthalene acetic acid (NAA) with 0.2 mg/l BA to WPM medium in the second subculture produced the highest weight of callus while MS medium supplemented with 2 mg/l NAA + 0.2 mg/l BA gave the highest content of total phenolics (34.060 mg/. g d.w.) and the highest content of flavonoids (4.368 mg/g d.w.). Antioxidant activity of all extracts was assayed using the 2,2'diphenylpicrylhydrazyl (DPPH) radical method, the results showed that in vitro shooting culture using WPM with 2 mg/l BA in the second subculture gave the lowest IC50= 0.220 while callus cultured on WPM medium with 2 mg/l NAA + 0.2 mg/l BA showed the lowest IC50= 0.432. Gallic, caffeic, chlorogenic acids, rutin, apigenin-7glucoside, quercetin and apigenin were identified and measured in mother plant and shootlets extracts by HPLC analysis but only Gallic, caffeic, chlorogenic acids, rutin and quercetin were identified in callus extracts. [Sawsan S. Sayd and Zeinab T. Abd El Shakour. Phenolic Content and Related Antioxidant Activities in in Vitro Cultures of Cephalotaxus Harringtonia L. Grown n Egypt. Life Sci J 2014;11(11):990-996]. (ISSN:1097-8135). http://www.lifesciencesite. com. 174
Working Papers No . 007 December 2013 How Did the Fed Respond to the Stock Markets ?

This paper examines whether the Federal Open Market Committee (FOMC) responded to changes in equity prices during the period 1966-2009. I distinguish the indirect response, where the FOMC reacts to equity prices only when they affect its target variables, from the direct response, where the FOMC reacts to equity prices directly, regardless of their effects on the target variables. In addition, the paper models the reaction function as state-dependent, hypothesizing that the FOMC may respond to changes in asset prices asymmetrically during different states of the economy. The results show that the FOMC did respond directly to equity price changes when the economy was in the state of asset bust. During the non-bust periods, however, the FOMC did not respond directly to equity prices; rather it only used the information for forecasting the target variables. JEL classification: E44, E52
Addis Ababa University College of Natural Sciences Recognition of Double Sided Amharic Braille Documents

Amharic language has large number of characters. As a result, Amharic Braille image recognition into print text is not an easy task. Amharic Braille cell formulation, encoding to a Braille code and translating the code to print text are different from Braille recognition systems of foreign languages’ characters. Few researches have been conducted in recognition of Amharic Braille documents. However, recognition of double sided Amharic Braille documents, which needs segmentation and identification of recto and verso dots from the background, and separation of overlapping recto and verso dots, has not been conducted so far. In this work, we propose a design for recognition of double sided Amharic Braille documents. The design has a preprocessing, segmentation, dot identification, page formulation, transformation, and recognition components. We used direction field tensor to preprocess and segment dots from the background. After segmentation, gradient field is used to identify a dot as recto or verso. Overlapping dots were further segmented and identified using Braille dot attributes (centroid, orientation, and area). The identified recto and verso dots are separated into two separate images or pages using the page formulation component. Then, we used Braille cell encoding algorithm in order to formulate identified recto or verso dots into a Braille code. Finally, the Braille code is translated to print text using Braille code translation algorithm. The designed algorithms encode and translate the dots starting from left-top corner of the first dot to the right downward over the page. In order to use the same Braille cell encoding and Braille code translation algorithms for both pages, dots on the recto page are mirrored about a vertical symmetric line. Moreover, we used rotation in reversing wrongly scanned documents automatically as long as the translation performance is less than some threshold value which notifies the system the page is wrongly scanned. In order to test the proposed design, we developed a prototype using MATLAB and test performances of dot identification and translation of double sided Amharic Braille images to print texts. We achieved an average dot identification accuracy of 99.3% and average translation accuracy of 95.6%. This is remarkably motivating performance as it is the first achievement in recognition of double sided Amharic Braille documents.
Large-eddy simulations to characterize the role of turbulent and dispersive production, transport and dissipation of TKE over and within a realistic urban canopy

− A characterization of the vertical structure of turbulent kinetic energy (TKE) and of its budget terms over a realistic urban geometry in the city of Basel, Switzerland, is here performed via large-eddy simulation. We consider fully developed flow over a 512x512m subset of the city, centered at a location where extensive tower-measurements are available from the Basel Urban Boundary Layer Experiment (2001-02). In agreement to measurements, TKE in the roughness sublayer (RSL) is found to be primarily produced at roof-level. Here, turbulent production overcomes dissipation by SGS stresses and the excess in TKE is dislocated down into the cavities of the urban canopy layer (UCL), and upwards into higher parts of the RSL by turbulent transport and dispersive transport terms. Turbulent and dispersive transport terms are comparable in magnitude and act as a sink of TKE in the upper RSL and as a source term in the lower RSL and UCL. The spatial heterogeneity of mean velocities and Reynolds stresses in the lower RSL and in the UCL results in a significant wake production rate of TKE. Moreover, pressure transport is found to be a significant source of TKE in the lower UCL, whereas transport by SGS stresses is negligible throughout the RSL.
IRS P 6 LISS-IV Image Classification using Simple , Fuzzy Logic and Artificial Neural Network Techniques : A Comparison Study

Abstract Numerous efforts `have been made over the past years to develop automated procedures for preparation of land use maps from remotely sensed multispectral data. Despite best efforts, the situation is still one where there is a considerable gap between the needs and availability due to newer data with higher spectral and spatial resolution. In this study, we used both supervised and unsupervised technique to classify Indian Remote sensing (IRS P6) LISS IV satellite imagery of Jaipur city (13 October 2008) by multi model criteria to achieve comparative analysis of Simple, Fuzzy logic and ANN type of classification to identifying, their efficacy with regard to differences in spectral and spatial resolutions. The performance of different classification method was evaluated in terms of accuracy. It was found that LISS IV datasets can be classified up to level 3 of land use/land cover classes of NRSC. The results obtained by comparative analysis are in terms of accuracy and simple classification technique achieves 88 per cent accuracy, Fuzzy classification technique achieves 89.26 per cent accuracy, and Adaptive Neuro-Fuzzy Inference System technique achieves 95.04 per cent accuracy. It can be concluded that objects based approach of classification is better than pixel based classification to classify surface water bodies and Built Up and Roads. In Fuzzy Classification, beside accuracy is lower than ANN classification but separability of each class is better than other classification method. Further improvements need to be done to use a combination of classification techniques to develop automated procedures for preparation of land use maps from remotely sensed multispectral data.
WiFi Indoor Localization Using Channel State Information

Indoor positioning has several variants as a result of multiple years of study on the topic. Using WiFi signals as the technology to compute the position of the target device is one of the most extended and researched techniques. WiFi Access Points are extensively deployed in all indoor environments where WiFi indoor localization has a potential application. Several of these indoor localization techniques use the Received Signal Strength (RSS) to compute the location of the device. However, the accuracy of the methods that use this parameter is usually low, in the meter range. Eight years ago, the new advances in wireless communications allowed to retrieve the phase of an incoming signal from a commercial chipset, and not only its strength. With the phase, we can use the physical and mathematical principles of signal transmission to compute the distance to a device. In the long term, it can contribute to having a more robust and long-lasting method to perform indoor localization if we can overcome the challenge of obtaining a delay-free phase measurement. For indoor distances, a small delay in the time estimation can be translated into a significant error in the ranging result. In this work, we re-implement the ranging technique of the paper Chronos: Decimeter-Level Localization with a Single WiFi Access Point. This well-known research work explains how to obtain an accurate phase measurement from a WiFi chipset and the technique to compute the distance to the target. We provide a guide of the installation and implementation of the hardware and software required for a system like this, indicating the critical points to allow future researchers a quick set up of the equipment. We revisit the procedure of Chronos to obtain a delay-free phase measurement and show how to re-implement it from scratch. Finally, we perform a validation of the system in four different steps, from the use of ideal data to progressively introducing the real distortions of indoor wireless data. The evaluation of the performance of the system leads us to present the finding of a non-linear delay that can produce significant distance errors.
Instructional Design Factors as they Relate to the Creation of a Virtual Learning Environment

This study builds on two parallel paths of application and development: the Instructional Systems Design (ISD) process in the design, development, and implementation of instructional materials, and the evolution of the virtual learning environment from a distance learning vehicle to an approach for synthetic, distributed, and interactive learning (Boehle, 2006; Christie & Ferdos, 2004; Osman, 2005). Instructional Systems Design (ISD) was initially developed to support the creation of learning materials that are more linear in nature, from correspondence, to audio and video, and some versions of computer-based training (Reigeluth, 1999). Virtual learning environments (VLEs), however, are multidimensional and flexible, often providing multiple pathways to learning, a representation of multiple perspectives, and a range of methods for evaluating learning outcomes (Carnevale, 2000; Ferguson & Wilson, 2001). This study compared the processes followed by developers of virtual learning environments in commercial, academic, and government settings, and examined the role of learning elements and approaches identified in the literature for distance learning in supporting the learning success within a VLE. This study indicates that all but one of the seventeen participants uses ISD or similar process, and all but one focus intensively on phases that pertain to audience analysis and usability testing. This research suggests that for the creation of VLEs, ISD or a similar process should be adapted to integrate the phased processes for software production, as well as structured strategies for preparing intended users to participate in the virtual environment. Finally, this research suggests that for virtual environments designed for specific learning outcomes, summative evaluation needs to be reconceptualized to adapt to the elements unique to the virtual learning experience.