Miracle-dz/UniFAR-FTUs huggingface dataset:
Evaluation of cadmium tolerance in oxidative stress in wheat cultivars

Wheat is the world's most important cereal crop in terms of both area cultivated and amount of grain produced. Pot experiments were conducted to evaluation of xidative stress in cadmium tolerance in wheat cultivars. This experiment was conducted in Varamin zone at Iran during 2012. In this respect, Research was conducted with complete randomized block experimental design with factorial arrangement with four replications. In this experiment, Cadmium tolerance levels 1- Control (A1), 2- 50 mg/lit Cadmium (A2), 3- 100 mg/lit Cadmium, (A3), 4- 150 mg/lit Cadmium(A4). And Wheat cultivar on four levels: 1- Pishtaz (B1),2- Dena(B2),3- Ariya (B3) and 4Parsi(B4). Results of the study showed that Cadmium tolerance decreased the activities of catalase (CAT), superoxide dismutase (SOD) and glutathione peroxidase (GPX) in wheat cultivars. There were significant differences among genotypes for antioxidant enzyme activity. Also, Cadmium tolerance × cultivar interactions showed significant difference on GPX activities. Results of the study also indicated that Cadmium tolerance causes production of reactive oxygen species(ROSs),which results in greater membrane permeability, i.e. malondialdehyde (MDA) content and oxidative stress in the plants. Moreover, genotypes having greater levels of antioxidants showed better resistance to Cadmium tolerance.
Significant Reduction in Preanalytical Errors for Nonphlebotomy Blood Draws After Implementation of a Novel Integrated Specimen Collection Module.

OBJECTIVES Most preanalytical errors at our institution occur during nonphlebotomy blood draws. We implemented an electronic health record (EHR), interfaced the EHR to the laboratory information system, and designed a new specimen collection module. We studied the effects of the new system on nonphlebotomy preanalytical errors. METHODS We used an electronic database of preanalytical errors and calculated the number and type of the most common errors in the emergency department (ED) and inpatient nursing for 3-month periods before (August-October 2014) and after (August-October 2015) implementation. The level of staff compliance with the new system was also assessed. RESULTS The average monthly preanalytical errors decreased significantly from 7.95 to 1.45 per 1,000 specimens in the ED (P < 0001) and 11.75 to 3.25 per 1,000 specimens in inpatient nursing (P < 0001). The rate of decrease was similar for mislabeled, unlabeled, wrong specimen received and no specimen received errors. Most residual errors (80% in the ED and 67% in inpatient nursing) occurred when providers did not use the new system as designed. CONCLUSIONS Implementation of a customized specimen collection module led to a significant reduction in preanalytical errors. Improved compliance with the system may lead to further reductions in error rates.
Testing Component-Based Software

Today component engineering is gaining substantial interest in the software engineering community. Although a lot of research effort has been devoted to analysis methods and design strategies of component-based software, a few papers address the testing of component-based software. The paper identifies and classifies the testing issues of software components and component-based software according to working experience. It discusses component testability in terms of controllability, traceability, test suite, presentation, test support, and configuration management. The paper proposes a model to measure the maturity levels of a component testing process. Finally, it shares our observations and insights on test automation for component-based application systems.
DIATHESIS : OCR based semantic annotation of newspapers

Digitization of historical newspapers constitutes nowadays an essential means for the preservation, dissemination of this material and the creation of large scale, distributed digital archives. Currently there are several approaches for rendering this type of digitized material searchable. The rst approach relies on the manual completion of metadata elds regarding the physical aspects of the digitized material. The second relies on the manual creation of semantic relations describing and linking the digitized content. Finally the last approach makes use of OCR (optical character recognition) technology for full text indexing purposes. Each one of the above mentioned approaches has its advantages and disadvantages. In the DIATHESIS digital library system we tried to implement a novel hybrid approach based on the three previous ones. The system provides the user a fully web based interface that enables her to annotate speci c segments of a document, extract the OCR text that corresponds to that segment and describe the segment with detailed metadata information based on the CIDOC conceptual reference model.
Evaluation Results NLP Components OVIS2

The NWO Priority Programme Language and Speech Technology is a research programme aiming at the development of spoken language information systems. Its immediate goal is to develop a demonstrator of a public transport information system, which operates over ordinary telephone lines. This demonstrator is called OVIS, Openbaar Vervoer Informatie Systeem (Public Transport Information System). The language of the system is Dutch. In this Programme, two alternative natural language processing modules are developed in parallel: a ‘grammar-based’ (conventional, rule-based) module and a ‘data-oriented’ (statistical, probabilistic, DOP) module. Both of these modules fit into the system architecture of OVIS. For detailed descriptions of these modules, the reader is refered to (van Noord et al., 1996), (van Noord et al., 1996) and (van Noord et al., 1997) for the grammar-based NLP module. The DOP approach is documented in (Scha et al., 1996), (Sima’an, 1997b), (Bod and Scha, 1997). In order to compare both NLP modules, a formal evaluation has been carried out. This evaluation was planned originally for the beginning of 1997. Because the design of the update language (the interface between NLP and the pragmatic component and dialog manager) took more time than foreseen, and because the (semantic) annotation of corpus material has been available only since May 1997, this formal evaluation could only start in february 1998. The evaluation procedure is described in (van Noord, 1997), and summarized here in section 2. The methods implemented in Groningen and Amsterdam are described in somewhat more detail in section 3. Some characteristics of the test set are provided in section 4. The results of the evaluation are presented in section 5.
Intelligent traffic monitoring and guidance system for smart city

IoT stands for Internet of things which is defined as an intercommunication of heterogeneous smart devices acting as a single network. In IoT, every device is connected via internet with different devices having different capabilities within a network. IoT is implemented almost in every field of life which is an extension of Wireless Sensor Networks (WSNs). Smart city is implemented through smart nodes in real scenarios to make digital environment in all field of life including smart parking, banking, sewerage system, waste management, environmental monitoring, smart transport and healthcare centers. However, there is a very little practical use of IoT and smart cities infrastructure in real life. In this paper, we have focused on intelligent traffic monitoring system using graph theory and formal methods. Our proposed model has various nodes that are assumed within a city including roads, objects and traffic signals to make a collective intelligent traffic guidance and monitoring system. Many operations including finding shortest path in terms of time and distance, finding specific area within city and finding safest and low rush ways towards the destination. The graph based model is transformed into a formal model using Vienna Development Method-Specification Language (VDM-SL). The proof of correctness is provided by various facilities available in the VDM-SL toolbox.
Cluster-based Sampling and Ensemble for Bleeding Detection in Capsule Endoscopy Videos

We present a cluster-based sampling and ensemble method to learn from large, imbalanced data set for bleeding detection in CE videos. Our method selects training examples randomly according to the data distributions derived from clustering. Multiple training sets are created such that data balance is restored. The sampling probability is proportional to the cluster distribution, and within each cluster the probability of a sample being selected is proportional to the distance to the center of the cluster. Classifiers are evaluated to compute performance-based weights and the prediction is made by aggregating decisions from the ensemble. Experiments were conducted using 8 annotated full-length videos. The cluster-based sampling provides training examples that preserve the innate data distribution with much less number of instances. Our experiments demonstrate that ensemble coupled with cluster-driven sampling achieves superior sensitivity and very competitive specificity. The one way ANOVA analysis reveals that our method greatly outperforms conventional SVM method.
The effect of cottonseed condensed tannins on the ileal digestibility of amino acids in casein and cottonseed kernel

The effect of adding cottonseed hulls to casein- and cottonseed-kernel-based diets on the apparent and true ileal digestibility of N and amino acids, and the proportion of this effect accounted for by condensed tannin (CT), were determined using the growing rat. Sixtyrats were allocated randomly to ten semi- purified diets, containing either casein (four diets) or purified unheated solvent-extracted cottonseed kernel (six diets) as the sole protein source, with Cr2O3 added as an indigestible marker. Two of the casein diets contained no hulls whilst the remaining two diets contained 70 g cottonseed hulls/kg. Two of the cottonseed-kernel-based diets contained no hulls, with two containing 23 g hulls/kg and the remaining two containing 46 g hulls/kg. For each pair of diets, PEG was either included or excluded. The effect of CT was quantified by comparing control rats (-PEG; CTacting) with PEG-supplemented rats (+PEG; CT inactivated) at each level of dietary hulls. The rats were given their respective experimental diets for 14 d. Each rat was given the food ad libitumfor 10 min hourly from 08·00 to 18·00 hours. On day 14, samples of digesta were collected at death from the terminal 150 mm of ileum at 7 h from the first meal. Apparent and true ileal digestibilities were calculated for DM, N and the individual amino acids. The principal finding was that the inclusion of hulls depressed the apparent and true ileal digestibilities of N and amino acids, but with the response differing between diets. With the casein-based diet the mean apparent and true ileal amino acid digestibilities were significantly depressed from 0·89 and 0·96 to 0·85 and 0·92 respectively, by the inclusion of 70 g hulls/kg in the diet, and addition of PEG then restored these to 0·89 and 0·95. All of the depression could be explained by the CT content of the hulls. However, with the cottonseed-kernel-based diet the responses fell into three categories. The apparent and true ileal digestibilities of the essential amino acids cystine and methionine were not affected by hull addition, ileal digestibilities of leucine, isoleucine, lysine, threonine and valine were markedly depressed by hull addition with approximately 50% of the depression being explained by CT, whilst the ileal digestibilities of histidine, arginine and phenylalanine were depressed by hull addition but little or none of this effect could be explained by CT. Thus the effect of hulls on protein digestion clearly differed with source of protein. With the cottonseed-kernel-based diet it seems that components of the hulls other than CT also depressed the apparent and true ileal digestibilities of N and amino acids. The identity of these components is unknown.
The Relationship between Identity Styles and Romantic Attachment with Identity Commitment among college students in Iran

The aim of this study was determine the relationship between Identity Styles (informational, normative, diffuse/avoidant with Romantic Attachment (anxiety, avoidance). In current study was used to correlation-descriptive research method. The statistical population were 1250 male and female undergraduate section students of Islamic Azad university, Dehaghan branch. The sample included 307(%60 of female and %40 of male) who were chosen by quota sampling method. The identity styles inventory (ISI) by Berzonsky (1989) and revised experiences in close relationships questionnaire (ECR-R) by Fraley et al (2000) was used to examine the research variables. The data were analyzed by T test, analysis of variance, Pearson correlation coefficient and multiple of regression analysis. The data obtained were analyzed by appropriate statistical techniques through the application of SPSS 18. The results revealed that the best predictors of identity commitment were, information identity style (p<0.000), diffuse/avoidant identity style (p<0.000), normative identity style (p<0.001) and attachment avoidance (p<0.016).
Impact of Soil Depth and Topography on the Effectiveness of Conservation Practices on Discharge and Soil Loss in the Ethiopian Highlands

Restoration of degraded landscapes through the implementation of soil and water conservation practices is considered a viable option to increase agricultural production by enhancing ecosystems. However, in the humid Ethiopian highlands, little information is available on the impact of conservation practices despite wide scale implementation. The objective of this research was to document the effect of conservation practices on discharge and sediment concentration and load in watersheds that have different soil depths and topography. Precipitation, discharge, and sediment concentration were measured from 2010 to 2012 in two watersheds in close proximity and located in the Lake Tana basin, Ethiopia: Tikur-Wuha and Guale watersheds. The Tikur-Wuha watershed has deep soils and a gentle slope stream channel. The Guale watershed has shallow soils and a steep slope stream channel. In early 2011, the local community installed upland conservation measures consisting of stone and soil bunds, waterways, cutoff drains, infiltration furrows, gully rehabilitation, and enclosures. The results show that conservation practices marginally decreased direct runoff in both watersheds and increased base flow in the Tikur-Wuha watershed. Average sediment concentration decreased by 81% in Tikur-Wuha and 45% in Guale. The practices intended to increase infiltration were most effective in the Tikur-Wuha watershed because the deep soil could store the infiltrated water and release it over a longer period of time after the rainy season than the steeper Guale watershed with shallow soils.
Torsion Effects in Elastic Composites with High Contrast

We establish a homogenization result and a corrector result for a vibration problem of elasticity. We assume that the data depend in a periodic way on a small parameter $\varepsilon$. We assume also that the Lame coefficients take possibly high values in a periodical set of disconnected inclusions and take values of the order $\varepsilon^2$ elsewhere. In the fibered case, torsional vibrations take place at an infinitesimal scale and give rise to nonlocal effects.
Loughborough University Institutional Repository Quantum ergodicity for quantum graphs without backscattering

We give an estimate of the quantum variance for d-regular graphs quantised with boundary scattering matrices that prohibit backscattering. For families of graphs that are expanders, with few short cycles, our estimate leads to quantum ergodicity for these families of graphs. Our proof is based on a uniform control of an associated random walk on the bonds of the graph. We show that recent constructions of Ramanujan graphs, and asymptotically almost surely, random d-regular graphs, satisfy the necessary conditions to conclude that quantum ergodicity holds.
Hybrid Electrochromic Fluorescent Poly(DNTD)/CdSe@ZnS Composite Films

Hybrid electrochromic poly(DNTD)/CdSe@ZnS quantum dots (QDs) composite films were prepared using an electropolymerization technique at room temperature and their electrochemical properties at different temperatures were investigated by cyclic voltammetry (CV). At room temperature, the composite films exhibited asymmetry in the voltammograms arising from the heterogeneity in the polymer chains and the morphology change caused by the QDs. A more positive cathodic potential than that of the pure polymer films indicated that poly(DNTD) became more difficult to be oxidized as a consequence of the incorporated QDs. The CVs of these nanocomposite thin films were also carried out at 0 °C to evaluate the temperature effect on their electrochemical properties. The asymmetry in the oxidation/reduction process became more remarkable, and lower oxidation potentials were observed. Pure poly(DNTD) thin film and its composite thin film with 0.05 wt % QD loading were prepared at 0 °C as well. Their CVs were performed at b.
Citrus aurantium and synephrine alkaloids in the treatment of overweight and obesity: an update

Obesity is a major health problem facing the developed and developing world. Efforts by individuals, health professionals, educators, and policy makers to combat the escalating trend of growing obesity prevalence have been multifaceted and mixed in outcome. Various dietary supplements have been marketed to reduce obesity. These products have been suggested to accomplish this by decreasing energy intake and energy absorption, and/or increasing metabolic rate. Ephedra, one such supplement, was banned from sale in the US market because of concerns about adverse events. Another substance, Citrus aurantium, which contains several compounds including synephrine alkaloids, has been suggested as a safe alternative. This review examines the evidence for safety and efficacy of C. aurantium and synephrine alkaloids as examined in animal studies, clinical weight loss trials, acute physiologic studies and case reports. Although at least three reviews of C. aurantium have been published, our review expands upon these by: (i) distinguishing and evaluating the efficacy of C. aurantium and related compounds; (ii) including results from previously unreviewed research; (iii) incorporating recent case reports that serve to highlight, in an anecdotal way, potential adverse events related to the use of C. aurantium and related compounds; and (iv) offering recommendations to guide the design of future trials to evaluate the safety and efficacy of C. aurantium. While some evidence is promising, we conclude that larger and more rigorous clinical trials are necessary to draw adequate conclusions regarding the safety and efficacy of C. aurantium and synephrine alkaloids for promoting weight loss.
Combined catecholamine and indoleamine depletion following response to ECT

Summary The mechanism of action of electroconvulsive therapy (ECT) in treating major depression is unknown. We studied two candidate mechanisms through inhibiting simultaneously the synthesis of noradrenaline and serotonin in patients immediately after successful treatment with ECT using a randomised, placebo-controlled, double-blind crossover design. There were no significant changes in depression scores under any experimental conditions, or between the amine-depleted and placebo groups despite reductions of 61% in serum homovanillic acid, 47% in 3-methoxy-4-hydroxyenylethyleneglycol, and 89% in serum tryptophan. Catecholamine and serotonin availability may not be necessary for maintaining the initial antidepressant response to ECT.
An Empirical Study to Improve QoE Estimation for Skype in Enterprise Wireless Networks

A significant load of Internet traffic is being created by video telephony and Voice over IP (VoIP) communications. The key challenges in building reliable and practical QoE models are the application diversity and device diversity in today’s networks. This paper presents SQEM, a machine-learning based practical model that accurately estimates end-user QoE in enterprise networks and that is robust under the high diversity. SQEM simply employs a machine-learning based practical model and deliberately leverages per-flow statistics collected from the wireless access point (AP). We conduct an extensive measurement study of QoE in video and VoIP telephony, with a dataset of more than 40 hours of Skype calls, various end-devices, application contents and background traffic. Our study shows, for the first time, that we can build reliable QoE models with low training overheads and still achieve F-measure up to 91%. We also implement SQEM on an enterprise-grade WiFi AP and evaluate its performance, demonstrating its practical deployment.
Etymo: A New Discovery Engine for AI Research

We present Etymo (https://etymo.io), a discovery engine to facilitate artificial intelligence (AI) research and development. It aims to help readers navigate a large number of AI-related papers published every week by using a novel form of search that finds relevant papers and displays related papers in a graphical interface. Etymo constructs and maintains an adaptive similarity-based network of research papers as an all-purpose knowledge graph for ranking, recommendation, and visualisation. The network is constantly evolving and can learn from user feedback to adjust itself. A screencast is available at: https://youtu.be/T4FDPk_TmN0
Generating Aspect-based Extractive Opinion Summary: Drawing Inferences from Social Media Texts

This paper presents an integrated framework to generate extractive aspect-based opinion summary from a large volume of free-form text reviews. The framework has three major components: (a) aspect identifier to determine the aspects in a given domain; (b) sentiment polarity detector for computing the sentiment polarity of opinion about an aspect; and (c) summary generator to generate opinion summary. The framework is evaluated on SemEval-2014 dataset and obtains better results than several other approaches.
Model driven quantification of left ventricular function from sparse single-beat 3D echocardiography

This paper presents a novel model based segmentation technique for quantification of Left Ventricular (LV) function from sparse single-beat 3D echocardiographic data acquired with a Fast Rotating Ultrasound (FRU) transducer. This transducer captures cardiac anatomy in a sparse set of radially sampled, curved cross sections within a single cardiac cycle. The method employs a 3D Active Shape Model of the Left Ventricle (LV) in combination with local appearance models as prior knowledge to steer the segmentation. A set of local appearance patches generate the model update points for fitting the model to the LV in the curved FRU cross-sections. Updates are then propagated over the dense 3D model mesh to overcome correspondence problems due to the data sparsity, whereas the 3D Active Shape Model serves to retain the plausibility of the generated shape. Leave-one-out cross validation was carried out on single-beat FRU data from 28 patients suffering from various cardiac pathologies. Error measurements against expert-annotated contours yielded an average point-to-point distance of around 3.8 ± 2.4 mm and point-to-surface distance of 2.0 ± 1.8 mm and average volume estimation error of around 9 ± 7%. Robustness tests with respect to different model initializations showed acceptable performance for initial positions within a range of 22 mm for displacement and 12° for orientation. This demonstrates that the method combines robustness with respect to initialization with an acceptable accuracy, while using sparse single-beat FRU data.