Miracle-dz/UniFAR-FTUs huggingface dataset:
Hour-Ahead Energy Trading Management with Demand Forecasting in Microgrid Considering Power Flow Constraints

Multiple small-scale low-voltage distribution networks with distributed generators can be connected in a radial pattern to form a multi-bus medium voltage microgrid. Additionally, each bus has an independent operator that can manage its power supply and demand. Since the microgrid operates in the market-oriented mode, the bus operators aim to maximize their own benefits and expect to protect their privacy. Accordingly, in this paper, a distributed hour-ahead energy trading management is proposed. First, the benefit optimization problem of the microgrid is solved, which is decomposed into the local benefit optimization sub problems of buses. Then, the local sub problems can be solved by the negotiation of operators with their neighbors. Additionally, the reference demand before negotiation is forecasted by the neural network rather than given in advance. Furthermore, the power flow constraints are considered to guarantee the operational stability. Meanwhile, the power loss minimization is considered in the objective function. Finally, the demonstration and simulation cases are given to validate the effectiveness of the proposed hour-ahead energy trading management.
Study the effect of metformin in different pH of human blood medium using cyclic voltammetric technique

Metformin HCl is a drug to treatment of different diseases such as ovary, diabetes, and slimming. Present study includes the electrochemical analysis by cyclic blood medium at different pH to evaluate the oxidation – reduction current peaks of the metformin compound which appeared at +750 and -750 mV respectively in acidic blood medium, while the oxidation current peak of the metformin was disappeared in alkaline blood medium with present of reduction one, so metformin acts as antioxidant reagent in alkaline blood medium. The study device the patients whom have taken metformin tablets as a treatment for diabetic disease must take ascorbic acid with metformin tablet to avoid the oxidation stress.
Australian And Indonesian University Students' Understanding Of Plagiarism

This article is part of a larger report of research which explored and compared Australian and Indonesian university students’ attitudes toward plagiarism, understanding of plagiarism, and understanding of university policy on plagiarism. It focuses on whether or not Australian and Indonesian students differed in their understanding of the notion of plagiarism and its various forms. Data of the Australian and Indonesian subjects’ understanding of plagiarism were gained using a questionnaire and focus group interviews. The results showed that the Australian students were more knowledgeable of the notion of plagiarism and its various forms than the Indonesian students. The differences may be attributed to the academic context of the study. The Indonesian students were not familiar with the Western norm in academic writing, the norm which is regularly practiced in the Australian context. This study strongly recommends that the Indonesian students’ awareness of plagiarism be increased in order to avoid plagiarism. Keywords: understanding of plagiarism, definition of plagiarism, academic context, focus group interviews, university study.
Induction of systemic resistance in broad bean to rust using salicylic acid and two derivatives

Investigations were made on the induction of systemic resistance (SR) to rust (Uromyces viciae-fabae) infection in broad bean (Vida faba), using exogenous inducers. In vivo and in vitro experiments were carried out in order to study various aspects of the systemic induced resistance (SIR). In addition, studies on the possible involvement of endogenous salicylic acid (Sa) in SIR were initiated. Thus, in broad bean, SR to rust infection could be induced using Sa, acetylsalicylic acid (AcSa), and sodium salicylate (NaSa). SIR was expressed as a reduction in the number of pustules cm-2 of the challenge-inoculated leaf. Increasing the interval between treatment of the first leaves with Sa, NaSa, or AcSa and inoculation of the third leaves had little effect on SIR to rust infection in broad bean. Sa, or a signal(s) produced after treatment with salicylates moved both acropetally and basipetally in broad bean plants, although the protection was greater in leaves above the induced leaves than below the induced leaves. A lag-period of at least 28 h after induction with Sa, NaSa, or AcSa was required before SR was expressed in broad bean. It is clear that the treated leaves were essential for SR to be induced, in the upper or lower leaves. Sa did not have a direct antifungal effect on broad bean rust, although NaSa and AcSa appeared to affect the rust directly. High concentrations of Sa, NaSa, and AcSa caused damage to the sprayed leaves, although the toxicity to plant tissue is unlikely to have caused the observed decrease in rust infection by Sa-, NaSa-, or AcSa treatments in experiments examining SIR. The effect of the salicylates on in vitro fungal growth was dependent on the particular fungus used (Botrytis cinerea or Pyrenophora avenae) and also on the pH of the medium. Growth reductions caused be the salicylates in these fungi appeared the be the result of the low pH of the medium. However, it seems unlikely that the reduction in rust infection in upper or lower leaves, caused by salicylate-treatment of lower or upper leaves respectively, was due to a direct effect of these compounds on the fungus. The variability between experiments observed in this work may reflect differences in environmental conditions, natural variability in broad bean (which is notoriously variable) or metabolism and/or conjugation of the salicylates. Salicylic acid in plant tissue could not be determined using TLC followed by spectrophotometry or spectrofluorometry. Using these procedures it seems likely that Sa- conjugates and/or other phenolic compounds were also being detected.
The interplay between chemistry and transport phenomena during the fast pyrolysis of cellulose, lignin and biomass

Depleting fossil energy resources and the changes in climatic conditions have propelled humanity to find alternative sustainable resources to satisfy the increasing energy demand. Lignocellulosic biomass is one of the carbon-based renewable resources which can be used to produce fuels and chemicals. Fast pyrolysis is a promising technologies in which lignocellulosic biomass is decomposed at ~500 °C and in the absence of oxygen, to produce oil (~75%), char (~12%) and gas (~13%). Pyrolysis oil can be upgraded to fuel or platform chemicals via downstream processing. The research described in this thesis aims at advancing the current understanding of the three simultaneously occurring processes, viz. chemical reactions (decomposition, cracking, polymerisation), heat transfer and mass transfer (evaporation, sublimation, random ejection), and their interplay during the fast pyrolysis of cellulose, lignin and lignocellulosic biomass. For that, a dedicated screen-heater reactor was used, which was designed to minimise non-isothermality, to control the reaction time inside the reacting particle by the escape rate of compounds from the reaction zone by variation of the pressure, and to minimise reactions outside the reacting particle by minimising hot vapour residence time followed by fast quenching of products. Experiments were also carried out in a bench-scale 1 kg h-1 fluidised bed unit equipped with a fractional condensation system to investigate the effect of hot vapour residence time. From this work it can be concluded that besides the heating rate of sample, hot vapour residence time of products and the temperature during the pyrolysis, the system pressure is the key parameter, which alters the residence time of products in/on the hot reacting particle, thereby, providing a means to steer the yields and composition of the products of pyrolysis.
CORDEX-WRF v1.3: development of a module for the Weather Research and Forecasting (WRF) model to support the CORDEX community

Abstract. The Coordinated Regional Climate Downscaling Experiment (CORDEX) is a scientific effort of the World Climate Research Program (WRCP) for the coordination of regional climate initiatives. In order to accept an experiment, CORDEX provides experiment guidelines, specifications of regional domains, and data access and archiving. CORDEX experiments are important to study climate at the regional scale, and at the same time, they also have a very prominent role in providing regional climate data of high quality. Data requirements are intended to cover all the possible needs of stakeholders and scientists working on climate change mitigation and adaptation policies in various scientific communities. The required data and diagnostics are grouped into different levels of frequency and priority, and some of them even have to be provided as statistics (minimum, maximum, mean) over different time periods. Most commonly, scientists need to post-process the raw output of regional climate models, since the latter was not originally designed to meet the specific CORDEX data requirements. This post-processing procedure includes the computation of diagnostics, statistics, and final homogenization of the data, which is often computationally costly and time-consuming. Therefore, the development of specialized software and/or code is required. The current paper presents the development of a specialized module (version 1.3) for the Weather Research and Forecasting (WRF) model capable of outputting the required CORDEX variables. Additional diagnostic variables not required by CORDEX, but of potential interest to the regional climate modeling community, are also included in the module. “Generic” definitions of variables are adopted in order to overcome the model and/or physics parameterization dependence of certain diagnostics and variables, thus facilitating a robust comparison among simulations. The module is computationally optimized, and the output is divided into different priority levels following CORDEX specifications (Core, Tier 1, and additional) by selecting pre-compilation flags. This implementation of the module does not add a significant extra cost when running the model; for example, the addition of the Core variables slows the model time step by less than a 5 %. The use of the module reduces the requirements of disk storage by about a 50 %. The module performs neither additional statistics over different periods of time nor homogenization of the output data.
Adsorption of Anionic Dyes on Poly(N-vinylpyrrolidone) Modified Bentonite

A composite based on poly(N-vinylpyrrolidone) (PVP) and sodium bentonite was prepared by a simple method. Structural characterizations of the bentonite and the composite were performed by Fourier transform infrared spectroscopy (FTIR), X-ray diffraction (XRD) and thermogravimetric analysis (TGA). The TGA analysis showed a low loading of the polymer in the bentonite. XRD analysis confirmed a modification in the structure of the bentonite without affecting its crystalline nature. The prepared composite was used for the removal of Telon-Blue, Telon-Orange and Telon-Red dyes in aqueous solution. Batch adsorption experiments were used to study the effect of the experimental parameters on the dyes equilibrium adsorption. At 23 °C, the maximum adsorption capacity obtained for the Telon-Blue dye was 36.6 mg.g-1 (73.10 %) after 120 min equilibrium time, 28.8 mg.g-1 (59.57 %) after 40 min for Orange-Telon, whereas, with the Telon-Red, we obtained 24.6 mg.g-1 (50 %) after 60 min. The kinetic data of the adsorbed dyes were defined by the pseudo second order and the equilibrium data were fitted well with the Freundlich isotherm. The thermodynamic parameters were determined for Telon-Bleu dye, as the more important adsorption capacity values were achieved with it. The adsorption process is non spontaneous and exothermic.
Stanford University’s Chinese-to-English Statistical Machine Translation System for the 2008 NIST Evaluation

This document describes Stanford University’s first entry into a NIST MT evaluation. Our entry to the 2008 evaluation mainly focused on establishing a competent baseline with a phrase-based system similar to (Och and Ney, 2004; Koehn et al., 2007). In a three-week effort prior to the evaluation, our attention focused on scaling up our system to exploit nearly all Chinese-English parallel data permissible under the constrained track, incorporating competitive language models into the decoder using Gigaword and Google n-grams, evaluating Chinese word segmentation models, and incorporating a document classifier as a pre-processing stage to the decoder. This document is organized as follows: in Section 2, we describe linguistic resources used for our submission. In Section 3, we present the four main components of our translation system, i.e., a phrasebased translation system, a Chinese word segmenter, a text categorizer, and a truecaser. Finally, we discuss our results in Section 4.
Self-Efficacy, Cultural Competence, and Perception of Learning Environment in Traditional and Interprofessional Education Physical Therapy Curricula

Self-Efficacy, Cultural Competence, and Perception of Learning Environment in Traditional and Interprofessional Education Physical Therapy Curricula by Laura Jean Smith BA, Trinity Christian College, 2000 DPT, University of St. Augustine for Health Sciences, 2003 Dissertation Submitted in Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy Adult Education Walden University July 2015
A concise textbook for midwives

This sales letter may not influence you to be smarter, but the book that we offer will evoke you to be smarter. Yeah, at least you'll know more than others who don't. This is what called as the quality life improvisation. Why should this a concise textbook for midwives? It's because this is your favourite theme to read. If you like this theme about, why don't you read the book to enrich your discussion?
Spectral Graph Analysis of the Geometry of Power Flows in Transmission Networks

Power flows in transmission networks are driven by the structure of the network and the spatial distribution of generators and loads. Understanding the interplay between grid, generators, and loads is crucial for efficient and robust planning and management of electrical networks. Using the spectral properties of the graph Laplacian, we show that we can express power flows on the basis of Laplacian eigenvectors and reveal the dominant modes for nodal voltages and branch powers. The bus voltages are dominated by low rank modes. The power in the lines depends on the nodal distribution of generators/loads, the line impedances, and the gradient of the eigenvectors across the branches. The most loaded lines and their associated dominant mode are then identified. A modification of the bus powers is finally proposed to better share the load between the lines and, hence, to decrease the system vulnerability. Results provided for several IEEE transmission test systems prove the relevance of the approach and suggest practical guidelines to improve the operation of power systems.
Antioxidant Activity of Bioactive Constituents from Crude Palm Oil and Palm Methyl Ester

Palm oil has many minor components that can act as natural antioxidant. It contains carotenoid and vitamin E. This research was conducted to determine antioxidant activity of non-polar extract from crude palm oil and fatty acid methyl ester. The oil extract obtained from crude palm oil by solvent extraction with hexane (CPO) and transesterification method followed by solvent extraction with hexane (PME). Carotene content from non-polar extracts were analyzed by using UV-visible spectrophotometer, while carotene composition (α- and β-carotene) and vitamin E (tocopherol and tocotrienol) compositions were analyzed by using high performance liquid chromatography. Glycerides and esters content was analyzed by gas chromatography. Antioxidant activity of oil extract was determined by using 2,2’-diphenyl-1-picrylhydrazyl (DPPH) free radical scavenging assay method. Result revealed that PME has higher content carotenoid and vitamin E than CPO. As expected, the concentration of carotenoid and vitamin E in PME increased with transesterification process. Results also showed that all of non-polar extracts exhibited antioxidant activity significantly, as proven by inhibitory concentration 50% (IC50) of PME and CPO is 5.9 µg mL-1 and 15.6 µg mL-1. It is suggested that the presence of carotenoid and vitamin E may have a potential effect as natural antioxidant.
Reflections on a Two-year National Pilot of the Party Drugs Initiative (PDI)

Introduction: The PDI is a national monitoring system for ecstasy and related drugs that is intended to serve as a strategic early warning system, identifying emerging trends of local and national interest in ecstasy and related drug (ERD) markets. In 2000-2001, the National Drug Law Enforcement Research Fund (NDLERF) funded a two year feasibility study for the examination of trends in ERD markets in New South Wales (NSW) and Queensland (Qld); a similar study was self-funded in South Australia (SA) (Breen, Topp, & Longo, 2002; Longo, Humeniuk, Topp, Christie, & Ali, 2002; Topp, Breen, Kaye, & Darke, 2004). The study was continued on a self-funded basis in 2002 in SA and NSW (White, Breen, & Degenhardt, 2003). Following the review of this feasibility study (Breen et al., 2002; L. Topp, C. Breen et al., 2004), a two-year national pilot study was funded in 2003 and 2004 to monitor emerging trends in the markets for ERDs across the country (Breen et al., 2004; Stafford, Degenhardt, Agaliotis et al., 2005). The 2003 and 2004 PDI national reports are available from the NDARC website, namely: http://ndarc.med.unsw.edu. au/ndarc.nsf/website/IDRS.national. Jurisdictional reports are available from http://ndarc.med.unsw.edu. au/ndarc.nsf/website/IDRS.state. This report evaluates the national pilot study.
Adapting a FrameNet Semantic Parser for Spoken Language Understanding Using Adversarial Learning

This paper presents a new semantic frame parsing model, based on Berkeley FrameNet, adapted to process spoken documents in order to perform information extraction from broadcast contents. Building upon previous work that had shown the effectiveness of adversarial learning for domain generalization in the context of semantic parsing of encyclopedic written documents, we propose to extend this approach to elocutionary style generalization. The underlying question throughout this study is whether adversarial learning can be used to combine data from different sources and train models on a higher level of abstraction in order to increase their robustness to lexical and stylistic variations as well as automatic speech recognition errors. The proposed strategy is evaluated on a French corpus of encyclopedic written documents and a smaller corpus of radio podcast transcriptions, both annotated with a FrameNet paradigm. We show that adversarial learning increases all models generalization capabilities both on manual and automatic speech transcription as well as on encyclopedic data.
Thermal Mixing of Impinging Laminar Streams of Shear-Thinning Fluids

Abstract Thermal mixing behavior of shear-thinning fluids with the specified heat flux boundary condition at mixing zone walls is studied numerically to investigate the effect of Reynolds number (10 to 50), power-law index (0.6161 to 1), Nusselt number (104 to 106) for external air flows and dimensionless ambient temperature (−2.7 to 1.3). The temperature is a passive tracer that quantifies the degree of mixing in this study. Detailed kinematics shows the formation of recirculation zones at the mixing channel walls. Length required to achieve the well mixed condition (i.e., a flat temperature profile across the channel height) is shorter at low Reynolds number, convective heat transfer coefficient and ambient temperature, and high power-law index values. In the impingement zone, a faster reduction in mixing index has been observed with respect to mixing length at high power-law index and low Reynolds numbers, while Nusselt number and ambient temperature exert only a weak influence. Under appropriate conditions, significant energy exchange between the system and surroundings can occur and has been analyzed in detail in this work. This work finds its applications in the improved mixing as practiced in the processing and production of food-stuffs, fine chemicals, personal care products, etc.
An observational study of changes in cervical inter-vertebral motion and the relationship with patient-reported outcomes in patients undergoing spinal manipulative therapy for neck pain

Spinal manipulation is a commonly sought therapy for neck pain. The present work examined sagittal plane cervical inter-vertebral kinematics in patients and healthy volunteers to explore whether motion is different in patients with neck pain, if manipulation is associated with changing cervical kinematics, and if changes are related to patient-reported outcomes. A standardised quantitative fluoroscopy (QF) image acquisition protocol for the cervical spine was developed and tested. A model of a cervical segment with a rigidly fitted digital inclinometer was rotated in the sagittal plane whilst being fluoroscopically imaged and QF results were compared for accuracy to that of the inclinometer. QF imaging sequences from ten subjects were analysed twice, six weeks apart, to assess repeatability. Finally, 30 patients and 30 age/gender-matched healthy volunteers had two cervical spine QF assessments four weeks apart. Only patients received spinal manipulation and completed patient-reported outcome measures (PROMs). Kinematic variables of interest included IV-RoM, segmental hypo-mobility, paradoxical motion, instantaneous axis of rotation (IAR) location, and laxity/attainment rate. The acquisition protocol allowed for imaging sequences to be achieved in a manner acceptable to participants. QF was found to be accurate to 0.5° for rotational range of motion. Intra- and inter-observer repeatability studies revealed substantial agreement and reliability for the QF measurement of C1 to C6 rotational motion (largest standard error of measurement (SEM) = 1.14°, lowest intra-class correlation coefficient (ICC) = 0.895) but not for IAR location (largest SEM = 7.66mm, lowest ICC = -0.080). Agreement and reliability were moderate-substantial for laxity/attainment rate (largest SEM = 0.04, lowest ICC = 0.70). There were no significant differences at baseline between patients and healthy volunteers in IV-RoM, or in the number of hypo-mobile, paradoxical or lax motion segments. Spinal manipulation was weakly associated with IV-RoM increases above the minimum detectable change calculated from healthy volunteers, in a dose response manner (Rho = 0.39 (95% CI: 0.014 to 0.663) p = 0.04). While the majority (87%) of patients reported clinically significant reductions in pain and disability,
The Na-O bond in sodium fenamate.

The one-dimensional polymeric structure of sodium diaquafenamate-water (1/1) was studied by X-ray diffraction. The sodium cation is coordinated to one oxygen atom of the carboxylate group and to four water oxygen atoms. To characterize the Na-O bonds, the quantum theory of atoms in molecules (QTAIM) and noncovalent interaction (NCI) approaches have been used. Both methods confirmed that the Na-O bonds are very weak, comparable with the weak N-H.O intramolecular hydrogen bond. The polymeric structure is stabilized by the interaction of the sodium cation with the surrounding water molecules.