Miracle-dz/UniFAR-FTUs huggingface dataset:
Contribution of electro-optics effect on canola oil as a new alternative method for determination of oil quality using transmission and fluorescence polarization

In this paper we studied contribution of electro-optics effect for evaluation of canola oil quality using transmission and fluorescence polarization. The samples were two different quality of canola oils, i.e. edible canola and expired canola based on the date of expiration at the time of measurement. The physical variable of polarization angle was measured using a pair of polarizers from a 532 nm of green pointer laser. The electro-optics effect was produced by applying high DC voltage 0-9 kV on samples. The result shows that the change of polarization angle of expired oil is greater than the good one for both transmission and fluorescence. The increasing polarization angle is accompanied by increasing saturated FAs and decreasing polyunsaturated FAs simultaneously, in agreement with our previous reports.The fluorescence polarization is dependent on the polarizer’s angle of incoming light and has average angle greater than transmission light. The electro-optic fluorescence is twice as electro-optics transmission due to possibly coupling between pure scattering and fluorescence together, in which large size of TG molecules play an important role into the light scattering and fluorescence perpendicular to the incoming light.This fluorescence light method provides more accurate measurement that transmission light and seems powerful comparison to the other spectroscopy methods.
Using Rhetorical Figures and Shallow Attributes as a Metric of Intent in Text

In this thesis we propose a novel metric of document intent evaluation based on the detection and classification of rhetorical figure. In doing so we dispel the notion that rhetoric lacks the structure and consistency necessary to be relevant to computational linguistics. We show how the combination of document attributes available through shallow parsing and rules extracted from the definitions of rhetorical figures produce a metric which can be used to reliably classify the intent of texts. This metric works equally well on entire documents as on portions of a document.
A Structural Approach to Latency Prediction Harsha V. MadhyasthaThomas AndersonArvind KrishnamurthyNeil Spring

Several models have been recently proposed for predicting the latency of end to end Internet paths. These models treat the Internet as a black-box, ignoring its internal structure. While these models are simple, they can often fail systematically; for example, the most widely used models use metric embeddings that predict no benefit to detour routes even though half of all Internet routes can benefit from detours. In this paper, we adopt a structural approach that predicts path latency based on measurements of the Internet’s routing topology, PoP connectivity, and routing policy. We find that our approach outperforms Vivaldi, the most widely used black-box model. Furthermore, unlikemetricembeddings, ourapproachsuccessfullypredicts 65% of detour routes in the Internet. The number of measurements used in our approach is comparable with that required by black box techniques, but using traceroutes instead of pings.
The EURACE agent-based economic model : benchmarking, assessment and optimization

This report describes the authors’ experiences in developing and optimising the serial and parallel versions of a very large complex agent-based economic model. The EURACE Model was developed as part of the EU Framework 6 project EURACE using the Flexible Large-scale Agent Modelling Environment FLAME which has been developed in a collaboration between the Computer Science Department of the University of Sheffield and the Software Engineering Group at the STFC Rutherford Appleton Laboratory. The report contains a brief description of FLAME, which is an applications program generator for agent-based simulations and its parallel implementation. However the bulk of the report is concerned with the process of developing and optimising the serial and parallel versions of the EURACE model. This includes a description of the tools developed by the project to aid this development and how they were used in debugging the EURACE Model. The final sections of the report describe some of the large-scale benchmark simulations performed with a study of the effects of serial sections on the overall parallel performance of such a model. † Software Engineering Group, STFC Rutherford Appleton Laboratory ‡ Computer Science Department, University of Sheffield
Planning and Corrupting Water Resources Development : The Case of Small Reservoirs in Ghana

Agricultural (water) development is once again at the fore of the development agenda of sub-Saharan Africa. Yet, corruption is seen as a major obstacle to the sustainability of future investments in the sector but there is still little empirical evidence on the ways corruption pervades development projects. This paper documents the planning and implementation processes of two specific small reservoir programmes in the north of Ghana. We specifically delve into the dynamics of corruption and interrogate the ways they add to the inherent unpredictability of development planning. We argue that operational limitations of small reservoirs such as poor infrastructure, lack of managerial and organisational capacity at the community level and weak market integration and public support are the symptoms – rather than inherent problems – of wider lapses in the planning processes that govern the development of small reservoirs in Ghana and plausibly worldwide. A suite of petty misconduct and corrupt practices during the planning, tendering, supervision, and administration of contracts for the rehabilitation and construction of small reservoirs results in delays in implementation, poor construction, escalating costs, and ultimately failures of small reservoirs vis-à-vis their intended goals and a widely shared frustration among donor agencies, civil servants, contractors, and communities. Such practices hang on and can only be addressed through a better understanding of the complex web of formal decisions and informal rules that shape the understanding and actions of the state.
Neuraxial Morphine and Respiratory Depression Finding the Right Balance

Morphine is a drug commonly administered via the epidural or intrathecal route, and is regarded by many as the ‘gold-standard’ single-dose neuraxial opioid due to its postoperative analgesic efficacy and prolonged duration of action. However, respiratory depression is a recognized side effect of neuraxial morphine administered in the perioperative setting. We conducted an extensive review of articles published since 1945 that examine respiratory depression or failure associated with perioperative intrathecal or epidural morphine use. Respiratory depression was previously thought to result from the interaction of opioid in the cerebrospinal fluid with ventral medullary opioid receptors. More recently, the preBötzinger complex located in the medulla has been identified as the site responsible for the decrease in respiratory rate following systemic administration of opioids. Neurons in the preBötzinger complex expressing neurokinin-1 receptors are selectively inhibited by opioids, and therefore are the mediators of opioid-induced respiratory depression. Epidural, intrathecal and plasma pharmacokinetics of opioids are complex, vary between neuraxial compartments, and can even differ within the epidural space itself depending upon level of insertion. Caution should be exercised when prescribing systemic opioids (intravenous or oral) in addition to neuraxial morphine as this can compound the potential for early or delayed respiratory depression. There is a wide range of incidences for respiratory depression following neuraxial morphine in a perioperative setting. Disparity of definitions used for the diagnosis of respiratory depression in the literature precludes identification of the exact incidence of this rare event. The optimal neuraxial opioid dose is a balance between the conflicting demands of providing optimal analgesia while minimizing dose-related adverse effects. Dose-response studies show that neuraxial morphine appears to have an analgesic efficacy ‘ceiling’. The optimal ‘single-shot’ intrathecal dose appears to be 0.075–0.15mg and the ideal ‘single-shot’ epidural morphine dose is 2.5–3.75mg. Analgesic efficacy studies have not been adequately powered to show differences in the incidence of clinically significant respiratory depression. Opioid antagonists such as naloxone to prevent or treat opioidinduced respiratory depression have a number of limitations. Researchers have recently focused on non-opioid drugs such as serotonin receptor agonists. LEADING ARTICLE Drugs 2011; 71 (14): 1807-1819 0012-6667/11/0014-1807/$55.55/0 a 2011 Adis Data Information BV. All rights reserved.
Stress Intensity Factor Solutions for CTS Mixed Mode Specimen

The Compact Tension Shear (CTS) specimen is used to study fracture and fatigue under mixed mode I/II loading conditions. Existing K solution was developed for fracture studies and it does not consider the effect of crack deflection. The aim of present work is to develop KI and KII empirical solutions for cracks with different crack length, loading angle and crack orientation. A total number of 1120 cracked geometries were studied numerically by the finite element method and solutions were fitted to numerical predictions. An average difference of 0.53 % was found between numerical predictions and the solution proposed for KI. For KII the difference is higher, but the equivalent stress intensity factor showed a difference of only 1% because KII is lower than KI. Experimental work was developed to study fatigue crack growth in CTS specimens. The cracks always adopted a direction approximately normal to loading direction, i.e., tend to propagate under mode I.
Edge magnetization in chiral graphene nanoribbons and quantum anomalous Hall effect interfaces in graphene

This thesis is composed of two theoretical studies related to properties of edge states in nanostructures of graphene monolayers. In the first one, we analyze the magnetic properties of chiral graphene nanoribbons. Chiral edges corresponds to a symmetry property whose mirror image cannot be superposed on to the original one, inversely of an achiral [1]. There are only two cases of achiral nanoribbon: armchair or zigzag edges. Chiral graphene nanoribbons, as well as those with zigzag edges, have localized states that favour to edge magnetization. In our analysis we use the tight-binging (TB) model with an electron-electron Hubbard mean-field interaction term. We show that only the standard tight-binding model with nearest-neighbor hopping is not sufficient to describe the low-energy and magnetic properties of graphene nanoribbons, i.e., the inclusion of next-nearest-neighbor hopping terms is necessary for an accurate modeling. We compare the results from our model with recent data from scanning tunneling spectroscopy and propose a new interpretation for the peaks experimentally observed in the local density of states. The second subject of this thesis corresponds to a study in progress of conducting states from the quantum anomalous Hall effect (QAHE) in graphene in the presence of a periodic exchange field and a Rashba spin-orbit interaction. We call interfaces the point where two systems meet, in this case, a system with positive sign in the exchange field interaction (EF) meet the analogous system with negative sign in the EF. The conducting states appear at the point of meet: gapless interfaces states. To this end, we analyze the formation of gapless states in the change of the sign from exchange field parameter in graphene with Rashba spin-orbit interaction. While the system in QAHE with a constant sign in exchange field has energy gap separating the highest occupied electronic band from the lowest empty band our results shows that the possibility of tunable exchange field sign creates conducting interfaces states, remaining a bulk energy gap.
A synthesis of Quality Criteria for requirements Elicitation Methods

In this article we define quality criteria for requirements elicitation methods. These criteria are a synthesis of quality concepts and ideas in the fields of software engineering, information system development methodologies, conceptual modeling and requirements engineering. They underline the development of requirement elicitation methods from traditional methods (EER,ORM) to modern methods (UML,NLM).
Moment-rotation estimation of steel rack connection using extreme learning machine

The estimation of moment and rotation in steel rack connections could be significantly helpful parameters for designers and constructors in the initial designing and construction phases. Accordingly, Extreme Learning Machine (ELM) has been optimized to estimate the moment and rotation in steel rack connection based on variable input characteristics as beam depth, column thickness, connector depth, moment and loading. The prediction and estimating of ELM has been juxtaposed with genetic programming (GP) and artificial neural networks (ANNs) methods. Test outcomes have indicated a surpass in accuracy predicting and the capability of generalization in ELM approach than GP or ANN. Therefore, the application of ELM has been basically promised as an alternative way to estimate the moment and rotation of steel rack connection. Further particulars are presented in details in results and discussion.
Study of trabecular bone fracture healing in a rabbit model

Clinically, fractures in metaphysis cancellous bones heal in a much more rapid fashion and have several unique features when compared with diaphyseal cortical bone fractures. According to their specific anatomical features, we hypothesized that traditional staging of cortical bone healing may not apply to the diaphyseal cancellous bone fracture healing process. The aim of the current study was to investigate the unique healing processes of trabecular fracture and summarize a new staging system specialized for metaphysis cancellous bone fracture, which will lead to new comprehension and treatment for metaphysis cancellous bone fracture. In this study, a new metaphysis cancellous bone fracture model of the proximal tibia in rabbits was established according to the principle of complete anatomical reduction, rigid internal fixation, and sufficient blood supply. The model was quantified to identify the pathophysiology and morphology of the healing process after fracture in the hope of finding experimental support for understanding the healing pattern of metaphysis cancellous bone fracture. The whole fracture healing process of trabecular bone can be divided into four stages by histology: the first was characterized by cellular activation and differentiation from immediately after surgery to 3 weeks; the second was characterized by the formation of woven bone or new trabeculae from 5 days to 4 weeks; the third was the transformation of newly formed woven bone into a lamellar structure from 9 days to 6 weeks; the fourth was the period of remodeling after 2 weeks and reached a peak at 6 weeks. There was no obvious fibrous tissue or chondrification formed during the entire healing process. The data of bone histomorphometry and biomechanical analysis showed structural parameters and parameters of healing strength changed as a unimodal curve. Our data demonstrate that the metaphysis cancellous fracture heals in a unique fashion, which can be divided into four histological stages. It differs from cortical fracture healing. Histological analysis showed that the fracture healed directly through intramembranous repair and included two different patterns: one occurred in the marrow of the fracture site, and the other occurred on the surface of pre-existing trabeculae.
FACTORS INFLUENCING IN VITRO SEED GERMINATION , MORPHOGENETIC POTENTIAL AND CORRELATION OF SECONDARY METABOLISM WITH TISSUE DEVELOPMENT IN PRUNELLA VULGARIS

Plant growth regulators (PGRs), polyamines (PAs) and temperature regimes are the key factors that influence morphogenesis and plant architectural development; however, the understanding that how these factors control plant growth and development is still poor and needs further research in Prunella vulgaris. In this study, we monitored the effect of these factors on seed germination, morphogenetic potential and secondary metabolism. Different temperature regimes showed that 25°C is the most suitable temperature for seed germination (88.87±1.76%) on Murashige and Skoog (MS) basal medium. The synergistic combinations of kinetin (Kn), 6-benzyladenine (BA) and putrescine (PUT; 2.0 mg l) promoted seed germination (90.22±4.51%) after 24 days of inoculation. A combination of Kn and PUT (1.0 mg l) encouraged mean shoot length (11.0±1.95 mm) with the optimum amount of chlorophyll content (23.73±1.8 μg cm). However, maximum mean root length (13±0.65 mm) was observed on medium containing Kn and spermidine (SPD, 2.0 mg l). Maximum calli (71.56±2.63%) were obtained from root explants on 1⁄2 MS-medium containing indole butyric acid (IBA) and α-naphthalene acetic acid (NAA; 0.5 mg l). Higher number of shoots (78.5±3.75%) was obtained with Kn and PUT (1.0 mg l). IBA concentration of 1.0 mg l was found effective for root formation (74.71±3.3%). Moreover, PGRs and PAs have a significant effect on accumulation of total phenolics, flavonoids and DPPH activity. This protocol is helpful for consistent plantlets and prunellin production in P. vulgaris L.
Enhancement of the Dose on 12 MV Linac with Free Flattening Filter Mode

Purpose: In the last years, some studies investigated dosimetric benefits of a free flattening filter for the photon mode in the radiotherapy field. This study aims to provide a theoretical study published and analysis of basic dosimetric properties for a Saturne 43 Linac head to implement free flattening filter beams clinically. Material and Methods: This is the first Monte Carlo study for the head of Saturne 43 with replacement flattening filter mode investigating beam dosimetric characteristics, including central axis absorbed doses, beam profiles and photon energy spectra. The later ones were analyzed for flattening filter and replacement flattening filter beams using BEAMnrc and DOSXYZnrc Monte Carlo codes for 10 × 10 cm2, 5 × 5 cm2 and 2 × 2 cm2 square field sizes. Results: A 3.94-fold increase of dose rate and electron contaminating increased by 246.4 % with the replacement flattening filter mode for field size of 10 × 10 cm2. Reduction was made by replacement flattening filter beam in the peripheral dose up to 30%, and the time was reduced more than 50 %. Conclusion: Results obtained from our study revealed that some characteristic dosimetries such as the maximum increase in depth dose rate, decrease in out-of-depth dose, and reducing time can be beneficial for the unflattened beam to be used in the radiotherapy for the advanced techniques.
Percutaneous coronary intervention improved outcomes of cardiac arrest after acute myocardial infarction : a 2-year study

Aim: To assess the effects of percutaneous coronary intervention (PCI) on shortand long-term outcomes and complication incidence in resuscitated patients with cardiac arrest (CA) after acute myocardial infarction (AMI). Methods: In a retrospective study from January 2005 to April 2014, 2914 consecutive CA patients admitted to the Emergency Department were studied. All patients with CA after AMI with successful cardiopulmonary resuscitation (CPR) were assessed and followed-up for 2 years. Results: A total of 104 patients with CA after AMI were resuscitated. The PCI group (n=63) showed significantly improved shortand long-term outcomes compared to the non-PCI group (n=41). Complication rates were similar between both groups. The PCI group contained 32 and 31 cardiogenic shock (CS) and non-CS patients, respectively. Angiography demonstrated that percent stenosis, not stenosis location, was determinant. Shortand long-term outcomes were similar between the two subgroups. In addition, PCI patients were divided into acute ST-elevation myocardial infarction (STEMI) (n=50) and non-STEMI (NSTEMI) (n=13) subgroups. Shortand long-term outcomes between these two subgroups were also similar. ClinicalTrials. gov: NCT02576691. Conclusions: PCI improved shortand long-term outcomes in patients with CA after AMI without increasing the occurrence of complications. Furthermore, patients who have experienced CA after AMI are suggested to undergo PCI, regardless of CS occurrence and electrocardiogram (ECG) findings.
Fervent: chemistry-coupled, ionizing and non-ionizing radiative feedback in hydrodynamical simulations

We introduce a radiative transfer code module for the magnetohydrodynamical adaptive mesh refinement code FLASH 4. It is coupled to an efficient chemical network which explicitly tracks the three hydrogen species H, H_2, H+ as well as C+ and CO. The module is geared towards modeling all relevant thermal feedback processes of massive stars, and is able to follow the non-equilibrium time-dependent thermal and chemical state of the present-day interstellar medium as well as that of dense molecular clouds. We describe in detail the implementation of all relevant thermal stellar feedback mechanisms, i.e. photoelectric, photoionization and H_2 dissociation heating as well as pumping of molecular hydrogen by UV photons. All included radiative feedback processes are extensively tested. We also compare our module to dedicated photon-dominated region (PDR) codes and find good agreement in our modeled hydrogen species once our radiative transfer solution reaches equilibrium. In addition, we show that the implemented radiative feedback physics is insensitive to the spatial resolution of the code and show under which conditions it is possible to obtain well-converged evolution in time. Finally, we briefly explore the robustness of our scheme for treating combined ionizing and non-ionizing radiation.