Miracle-dz/UniFAR-FTUs huggingface dataset:
Universal Gibbons-Hawking-York term for theories with curvature, torsion and non-metricity

Motivated by establishing holographic renormalization for gravitational theories with non-metricity and torsion, we present a new and efficient general method for calculating Gibbons-Hawking-York (GHY) terms. Our method consists of linearizing any nonlinearity in curvature, torsion or non-metricity by introducing suitable Lagrange multipliers. Moreover, we use a split formalism for differential forms, writing them in (n-1)+1(n−1)+1 dimensions. The boundary terms of the action are manifest in this formalism by means of Stokes’ theorem, such that the compensating GHY term for the Dirichlet problem may be read off directly. We observe that only those terms in the Lagrangian that contain curvature contribute to the GHY term. Terms polynomial solely in torsion and non-metricity do not require any GHY term compensation for the variational problem to be well-defined. We test our method by confirming existing results for Einstein-Hilbert and four-dimensional Chern-Simons modified gravity. Moreover, we obtain new results for torsionful Lovelock-Chern-Simons and metric-affine gravity. For all four examples, our new method and results contribute to a new approach towards a systematic hydrodynamic expansion for spin and hypermomentum currents within AdS/CFT.
Source Tool for Networks Management Communication

Considering the complexity of the networks, one of the solutions for this complexity could be to centralize its configuration. Thus the Software-Defined Networking (SDN) concept may be an important solution. This paper suggests the implementation of a tool to support the development and testing of networks and services before they are put into production. The use of a tool that simplifies the configuration of a network service makes the networks and services to be less susceptible to errors and failures by those who set them up, thus allowing telecom operators, among others, to be able to create new services, improve the monitorization of their human resources and, above all, improve their financial results. In the end, success will be achieved because with a simple interaction and basic knowledge we are able to manage network services.
University of Dundee Morphological and Hemodynamical alterations in Brachial Artery and Cephalic Vein

Citation for published version (APA): Aristokleous, N. , Houston, J. G. , Browne, L. D. , Broderick, S. P., Kokkalis, E. , Gandy, S. J., & Walsh, M. T. (2018). Morphological and Hemodynamical alterations in Brachial Artery and Cephalic Vein. An Image-Based Study for Preoperative Assessment for Vascular Access Creation. International Journal for Numerical Methods in Biomedical Engineering, 34(11), [e3136]. https://doi.org/10.1002/cnm.3136
Livestock and pasture management on commercial Thoroughbred breeding farms : implications for estimating nitrogen loss

Published data on livestock and pasture management on Thoroughbred breeding stud farms were collated to model and estimate farm-level variables required to estimate nitrogen leaching. On commercial farms, stocking density doubled during the breeding season (August – December). The effective stocking density increased with farm scale (number of resident mares) but decreased with farm size (total effective area). Therefore, farm nitrogen output may fluctuate seasonally and will be influenced by farm size and scale. Farm size and scale independently affected the stocking and grazing management (i.e., paddock rotation interval) for the different equine stock classes (empty, pregnant, mares with foals). Stocking and grazing management influenced the pasture available and subsequently, the grazing behaviour as determined by the difference between pasture mass of lawns and roughs. The difference between pasture mass of lawns and roughs was reduced with increasing stocking density and decreasing pasture availability, and increased under conditions of high stocking density (>2 mares/ha) and low pasture availability (<400 kg DM/ha/ horse). Modification of grazing behaviour could affect the nitrogen-leaching potential by modifying the size of manure-deposition area and the N-loading rate on urine and dung patches. The complex relationship between farm, horse and management factors needs to be included when estimating nitrogen leached from equine properties.
A Dynamic Programming Approach to TM Matching and Retrieval 261 proposed a paraphrasing approach based on greedy approximation and dynamic programming

Translation memory tools lack semantic knowledge like paraphrasing when they perform matching and retrieval. As a result, paraphrased segments are often not retrieved. One of the primary reasons for this is the lack of a simple and efficient algorithm to incorporate paraphrasing in the TM matching process. Gupta and Orăsan [1] proposed an algorithm which incorporates paraphrasing based on greedy approximation and dynamic programming. However, because of greedy approximation, their approach does not make full use of the paraphrases available. In this paper we propose an efficient method for incorporating paraphrasing in matching and retrieval based on dynamic programming only. We tested our approach on English-German, English-Spanish and English-French language pairs and retrieved better results for all three language pairs compared to the earlier approach [1].
Breast reconstruction with reverse mini abdominoplasty

Introduction: Mastectomy is very traumatic for women, and breast reconstruction is an essential procedure to improve their psychosocial well-being and quality of life. Most plastic surgeons do not perform breast reconstruction. This practice requires advanced training with a long learning curve. Breast reconstruction using excess flaps in reverse abdominoplasty can be a practical option and of great applicability in carefully selected patients. Methods: From August 2014 to June 2016, 12 patients underwent breast reconstruction using the reverse mini abdominoplasty technique. Symmetrization was performed in six patients who underwent unilateral reconstruction, with one case reconstructed bilaterally. The implants were placed in the supra-muscular plane and in a submuscular position in seven and five patients, respectively. Results: There was one case each of seroma, epitheliolysis, and partial superficial necrosis of the superficial flap, all with favorable evolution. Only one patient underwent implant extrusion. Conclusion: Breast reconstruction using excess flaps in reverse mini abdominoplasty associated with implant placement is a good option for breast reconstruction in selected patients with a low complication rate. Patients with flaccidity and lipodystrophy in the upper abdomen are the ideal candidates for the use of this technique. ■ ABSTRACT
Biomass and Flavonoid production of Gynura procumbens adventitious roots induced by sucrose , Phenylalanine and Tyrosine

1 Plant Tissue Culture Laboratory, Biology Department, Faculty Sciences and Technology,Airlangga University, Surabaya, Indonesia 2 Organic Chemistry Laboratory, Chemistry Department, Faculty Sciences and Technology, Airlangga University, Surabaya, Indonesia 3 Biology Department, Faculty of Mathematics and Natural Sciences, PGRI Adi Buana University, Surabaya, Indonesia . *Correspondence: wulanmanuhara@gmail.com Accepted: 10 Sep. 2017 Published online: 10 Dec. 2017
Shortcuts to Adiabaticity with Inherent Robustness and without Auxiliary Control

Shortcuts to adiabaticity (STA) are fast methods to realize the same final state evolution of quantum adiabatic process. We develop a general theory to construct a new kind of STA by solely sampling the points of the adiabatic path of the original adiabatic Hamiltonian. In contrast to previous methods, our approach does not require any additional control resources, has inherent robustness, and does not use any complicated unitary transformation. Based on path sampling, the resulting STA protocols are simple and can avoid points of adiabatic path that are challenging to implement. As applications of our theory, we demonstrate reduction of the effects of both dissipation and dephasing noise by a novel robust three-level control, as well as reliable and fast ground state evolution in an adiabatic quantum computing model. Our theory offers a new route to design robust and fast control methods for general quantum systems.
LIVE BODY WEIGHT PREDICTION IN HAIR GOATS BY APPLICATION OF FUZZY LOGIC

The aim of this study is to try to develop fuzzy expert system for predicting live body weight in hair goats. As material, 81 hair goats grown in Siirt Province, Turkey were used. A fuzzy expert system was designed using heart girth, body depth and body length measurements of the animals. Fuzzy Logic Toolbox of MATLAB Software was used for fuzzy expert system development. The Mamdani inference method was used as inference method and the Centroid method was chosen as the defuzzification method. A correlation r = 0.95 was found between the live body weight predicted by the developed system and the live body weight data obtained by actual weighing. The determination coefficient of the model was calculated as R = 0.90. As a result, we can say that fuzzy expert systems have better results in livestock with uncertainties and incomplete data and the development of these kinds of systems in the future is recommended.
Feminist Methodology in International Relations An ongoing story

Feminist methodology in IR (International Relations), as a groundbreaking approach, has focused on the questioning of the patriarchal order and the invisibility of the gender bias within this discipline. Mainstream theories and methodologies in IR, born from positivist views, have an ontological approach prone to the accumulation of knowledge and an epistemological one that seeks for an objective truth. However, it is undeniable that gender permeates every aspect of society and denying this inhibits academics from understanding many relevant issues in the international arena. Therefore, this article will overlook feminist methodology in IR, highlighting the responses that this methodology has had from mainstream academics, and analyzing the way in which traditional issues (such as security, politics and economics) are examined thorough this approach.
Emotional intelligence: influencing factors and impact on nurses in intensive care

Objective: to analyze the evidence on the factors that influence the emotional intelligence of intensive care nurses. Methods: systematic review of the literature. We used the databases CINAHL Complete, Academic Search Complete, MedicLatina, Psychology and Behavioral Sciences Collection, MedLine with Full Text (via EBSCO HOST), MedLine Complete (via PubMed), SCOPUS and other sources, such as Google Scholar, clinical trial registration sites and manual/cross-references search. A total of 1,307 articles were published until April 2018, and nine were included in the study. Results: the factors that influenced nurses’ emotional intelligence were age, sex, emotional experience, training and personality; and the impact of emotional intelligence was translated on a personal, professional and caring level. Conclusion: the practice of nursing in intensive care units is influenced by the nurse’s emotional intelligence. This intelligence is affected by several factors and, because it is learned, must be stimulated in formative contexts. Descriptors: Emotional Intelligence; Critical Care; Nursing.
Isolation and characterization of insoluble inorganic phosphate solubilizer rice rhizosphere strain Enterobacter cloacae BAU 3

The objective of the present study was to isolate and characterize most efficient phosphate solubilizing bacteria (PSB) from rice rhizosphere. The study was carried out during the Kharif season’2018 at Department of Soil Science and Agricultural Chemistry, Bihar Agricultural University, Sabour, Bhagalpur, Bihar. The availability of phosphorous to plants for uptake and utilization is limited in soil due to fixation in the form of Fe-P, Al-P and Ca-P. The use of phosphate solubilizing bacteria can prove to be helpful measure to supply phosphorous to the crops to increase the productivity. In the present investigation, a total of 10 isolates were obtained from rice rhizosphere soil samples. All ten isolated isolates were shown phosphorus solubilization. Out of ten isolates BAU3 was found to be most potent phosphate solubilizers showing clear halo zone around its colony. The isolate BAU3 showed 20.00 mm phosphate solubilizing halo zone around its colony. The solubilization index (SI) of the isolate BAU3 was also calculated at the end of the incubation period and observed phosphate solubilization index (SI) of 3.22. The isolate BAU3 showed maximum insoluble phosphate solubilization of 450.24 μg ml and isolates BAU3 was selected for subsequent studies. The bacterial isolates BAU3 was gram negative, non-spore forming rods shaped. On the basis of the 16SrDNA sequencing, isolate BAU3 was identified as Enterobacter cloacae strain BAU3 (Genebank Accession No. MK033472). The isolated strain of bacterial has potential to solubilize insoluble phosphorus and it can be utilized for preparation of microbial inoculants or biofertilizers.
ADDIS ABABA UNIVERSITY

Warburgia ugandensis Sprague (Family: Canellaceae) is a tree that is highly utilized in traditional medicine in tropical and warm substropical countries of Africa. Crude ethanol extracts of leaves and heartwood of W. ugandensis were tested for in-vitro antimicrobial activity against six bacterial and a fungi test organisms using the disk diffusion method, agar well diffusion and broth dilution for minimum inhibitory concentration. E. coli was found to be the most susceptible bacterial isolate in the Agar well diffusion and Broth dilution. Meanwhile Shigella boydii was the most resistant bacterial isolate showing MIC value of 10mg/ml for the leaf extract. Bacillus subtilis was the second resistant bacterial isolate giving 0.0mm and 11.0mm inhibition diameter at disk diffusion assay and agar well diffusion, respectively. Streptococcus pneumoniae gave 2.5mg/ml and 5mg/ml MIC value for heartwood and leaf extracts, respectively. The same Minimum Inhibitory Concentration (MIC) value was recorded for B. subtilis. Pseudomonas aeruginosa showed the highest inhibition diameter (16.7mm) in the agar well diffusion assay for the heartwood extract. Staphylococcus aureus and Pseudomonas aeruginosa showed the same MIC value of 2.5mg/ml in leaf and heartwood extract. Candida albicans showed the highest inhibition diameter of 10.0mm and 30.7mm in disk diffusion and agar well diffusion, respectively at the highest test concentration (25mg/ml). In the broth dilution, a MIC value of 1mg/ml concentration of the leaf and heartwood extracts of W. ugandensis inhibited the growth of Candida albicans. It can be concluded that W. ugandensis has the potential as an antimicrobial agent in the future especially against C. albicans and E. coli.
Aalborg Universitet Evaluating State-ofthe-art Object Detector on Challenging Traffic Light Data

Traffic light detection (TLD) is a vital part of both intelligent vehicles and driving assistance systems (DAS). General for most TLDs is that they are evaluated on small and private datasets making it hard to determine the exact performance of a given method. In this paper we apply the state-of-the-art, real-time object detection system You Only Look Once, (YOLO) on the public LISA Traffic Light dataset available through the VIVA-challenge, which contain a high number of annotated traffic lights, captured in varying light and weather conditions. The YOLO object detector achieves an AUC of impressively 90.49 % for daysequence1, which is an improvement of 50.32 % compared to the latest ACF entry in the VIVAchallenge. Using the exact same training configuration as the ACF detector, the YOLO detector reaches an AUC of 58.3 %, which is in an increase of 18.13 %.
COMPARATIVE ANALYSIS ON RESPONSES OF VEGETATION PRODUCTIVITY RELATIVE TO DIFFERENT DROUGHT MONITOR PATTERNS IN KARST REGIONS OF SOUTHWESTERN CHINA

The climate conditions are complex and diverse in Southwest China (SWC), especially the karst area, and the interaction between climate change and terrestrial ecosystems has become complex. Vegetation productivity is an important indicator in terrestrial ecosystems, and can visually reveal the impacts of extreme climate. Drought affects not only the process of photosynthesis directly, but also the changes in vegetation productivity from other forms of interference with photosynthesis. Against this background, we analyzed the time series and spatial distribution characteristics of drought, the temporal and spatial distribution and anomalies of vegetation productivity. For the observation period 2001–2012, we used different drought monitor patterns (including Pa, SPI, SPEI and PDSI) to assess the impact of drought on vegetation productivity (annual NPP and monthly GPP). We mainly want to explore the response of different monitor patterns to vegetation productivity at different stages. NPP exhibited considerable variation during 2001–2012; the droughts in 2009 and 2010 led to NPP reduction by 14.7% and 8.4%, respectively. The NPP is directly proportional to the severity of drought, severe drought had a greater impact on monthly GPP than mild drought, especially for evergreen forests, shrublands, and deciduous forests, while little variation was found for croplands. We compared drought indicesvegetation productivity during the drought season between 2009 and 2010; SPEI has a better correlation with SPI and PDSI. The results demonstrate that SPEI and PDSI are most capable of monitoring the vegetation drought conditions. There will be large differences of the influence on vegetation productivity on different drought levels. Our findings suggested that multi-indices in drought monitoring are needed in order to acquire robust conclusions.
Global minima of water clusters H O , n F 21 , described by an 2 n empirical potential

Ž . Candidates are presented for the global minima of water clusters H O , nF21, bound by the empirical rigid-body 2 n TIP4P potential. The TIP4P global minima were subsequently relaxed subject to a more sophisticated model potential of the Ž . ASP family. Candidates for the lowest energy ‘box-kite’ and dodecahedral minima of H O have also been obtained. For 2 20 both the TIP4P and ASP potentials the lowest-lying dodecahedral isomers have much higher energies than the lowest-lying box-kite and face-sharing pentagonal prismatic minima, in contrast to the results of recent semi-empirical molecular orbital calculations. q 1998 Elsevier Science B.V.
INFLUENCE OF PRINTING PARAMETERS ON THE MECHANICAL PROPERTIES OF POLYAMIDE IN SLS TECHNOLOGY WPŁYW PARAMETRÓW TECHNOLOGICZNYCH NA WŁAŚCIWOŚCI MECHANICZNE POLIAMIDU W TECHNOLOGII SLS

This paper presents the research results of the influence of selected process parameters on the tensile strength samples obtained according to the ISO 527 standard. Bio-capable polyamide powder PA 2200 was the material used in the process. The research included such parameters as energy density transmitted to the sintered layer, laser power and speed, printing direction and the number of scanning. A computer program based on artificial neural network was used to analyze the research results. The program allowed us to assess the influence of printing parameters on the tensile strength, based on previously made research without the need to prepare samples according to the experimental plane.
Downloaded on 2020-05-15T05:21:15Z Running head: AN ECOSYSTEMS PERSPECTIVE ON IHRD 1 AN ECOSYSTEMS PERSPECTIVE ON INTERNATIONAL HUMAN RESOURCE DEVELOPMENT (IHRD): A META-SYNTHESIS OF THE LITERATURE

There has been significant growth of interest in both international human resource development (IHRD) and ecosystems research. Both literatures highlight important characteristics of each concept; however, to date, they have not yet been linked. We propose an ecosystem perspective as an important framework to understand IHRD. Ecosystems emphasize interdependencies, actor centrality, bargaining power and relationships between actors as important in shaping IHRD. We utilize a meta-synthesis of the IHRD literature to identify content and process dimensions of an IHRD ecosystem. We conclude with a discussion of implications for IHRD research. Running head: AN ECOSYSTEMS PERSPECTIVE ON IHRD
MILITARY EXPENDITURE AND UNEMPLOYMENT IN CHINA

The sequential increase in China’s military expenditure has caused a worldwide debate. Aiming at one jurisdiction that the increase in military expenditure helps to stabilize the rising unemployment rate, and knowing the defense-unemployment nexus is barely researched in the context of China, this study manage to verify the validity of this jurisdiction and to plug the vacancy in China with empirical approaches using data from 1991 to 2013. After testing the time-series properties of the four variables (unemployment rate, military expenditure, nonmilitary expenditure and GDP), the ARDL model is applied as the basis to our estimation. To our surprise, the military expenditure pushes up the unemployment rate, whereas the increase in its non-military counterpart presses down the rate. The results manifest that the jurisdiction is devoid of grounds, and, more notably, that the two parts of the China’s government spending boast opposite economic impact.
Spatial Modelling of Air Distribution for Controller Design using Takagi-Sugeno Fuzzy Systems

Controlling indoor air properties like temperature or relative humidity is one major task in building system design. State of the art co n rol methods usually assume wellmixed air conditions, which is a crucial simplifica tion that can lead to unsatisfying results. Hence an approach for modelling indoor air distribution for control purposes is presented in this paper. Commonly compu tational fluid dynamics (CFD) are used for modelling the effect of air distributi ons. The well-known disadvantages of CFD are high computational costs and high comple xity, which makes the use of CFD impracticable for control theoretical issues. B ased on the general governing equations of fluid dynamics the derivation of a red uced model is proposed in this paper. For this purpose the nonlinear partial diffe rential equations, which describe fluid dynamics are discretized and approximated by a combination of FiniteDifference methods and Takagi-Sugeno Fuzzy Systems. A system identification algorithm to obtain models from measured data is pr esented as well.
Clip Space Sample Culling for Motion Blur and Defocus Blur

Motion blur and defocus blur are two common visual effects for rendering realistic camera images. This paper presents a novel clip space culling for stochastic rasterization to render motion and defocus blur effects. Our proposed algorithm reduces the sample coverage using the clip space information in camera lens domain (UV) and time domain (T). First, samples outside the camera lens were culled in stage I using the linear relationship between camera lens and vertex position. Second, samples outside the time bounds were culled in stage II using the triangle similarity in clip space to find the intersection time. Each pixel was computed within two linear bounds only once. Our method achieves good sample test efficiency with low computation cost for real-time stochastic rasterization. Finally, the proposed method is demonstrated by means of various experiments, and a comparison is made with previous works. Our algorithm was able to handle these two blur effects simultaneously and performed better than others did.