Miracle-dz/UniFAR-FTUs huggingface dataset:
EXPERIMENTAL STUDY OF FLUID DYNAMIC BEHAVIOR OF BIOMASS PARTICLES IN FLUIDIZED BEDS: A REVIEW

Decease of natural resources and increase of price of fossil fuels at growing energy consumption, toughening of ecological standards and necessity of the increase of the level of energetics diversification motivates mankind to more wide usage of renewable energy resources including the solid fuel of biological origin. The potential of biofuel usage is rather considerable because the energy equivalent of the biomass harvest on the land exceeds the worldwide energy consumption several times as much. The biomass application as a renewable fuel is already a reality worldwide with the development of policies and technologies that turn viable the transformation of biomass into energy. The aims of this work is to present a literature experimental review on the studies concerning to the use of fluidized beds taking into account their design and scale-up. Initially, the usual solid particle terminology and some important biomass properties are presented. A brief description of conversion technologies and the fluidization phenomena are introduced, followed by an explanation of the different experimental techniques. The characteristic velocities (initial, apparent, of segregation, and complete) are discussed based on different biomass properties, as well as a number of empirical correlations for these velocities are described. Finally, some considerations are made about characteristic bed porosities (apparent and complete) and bed expansion. Based on the literature analysis, an improvement has been done on the understanding of the biomass fluidization phenomena, however, further research is needed to comprehend the effect of biomass characteristics on the bed operational parameters, besides more accurate and general correlations must be developed to improve these technologies. For citation: Tannous K. , De Mitri A.G. , Mizonov V. Experimental study of fluid dynamic behavior of biomassparticles in fluidized beds: a review. Izv. Vyssh. Uchebn. Zaved. Khim. Khim. Tekhnol. 2018. V. 61. N 9-10. P. 4-14
Dietary Folic Acid Supplementation to Diets of Low Levels of Energy and Methionine of Developed Laying Hens in Summer Season on Performance , Physiological Status and Immune Response

The objective of this study was to evaluate the effect of different levels of folic acid (FA) supplementation on productive and physiological performance and immune response of laying hens fed diets varying in methionine (M) and metabolizable energy (ME) levels. A total number of two hundred and sixteen of Silver Montazah laying hens (28 weeks old), were randomly divided into 12 treatment groups (18 hens / each). All birds were housed in individual cages. The experimental design was conducted in 2 x 2 x 3 factorial arrangement of treatments, 2 levels of ME (2800 and 2600 Kcal/Kg diet), two levels of DL-methionine (0.40% and 0.30%) and three levels of folic acid (0.0, 10, and 20 mg /kg feed). The results can be summarized as follows:Increasing ME significantly increased final body weight (P≤0.01), shell thickness (P≤0.01), plasma total protein, globulin, glucose, cholesterol, triglycerides, egg folate content and hatchability of total fertile eggs while, daily feed intake and feed conversion ratio (FCR) were decreased. Methionine at a level of 0.40% in the diet increased significantly egg number, albumin%, plasma total protein, globulin and HDL. On the other hand daily feed intake, FCR, shell%, egg shape index% and egg specific gravity were significantly decreased.Significant increases were observed in egg number, shell thickness, plasma total protein, globulin and egg folate content due to increasing FA supplementation in the diet while, Haugh units, plasma albumin and plasma folate recorded significantly their lowest values.Feeding hens diet with ME of 2800 kcal/kg and a level of 0.40% M without FA supplementation significantly increased albumen % and plasma triglycerides. In this respect, FA supplementation at a level of 10 mg/kg diet significantly increased plasma HDL. On the other side, FA supplementation at a level of 20 mg/kg diet significantly increased body weight change, daily egg mass, shell thickness, plasma total protein, albumin, globulin and significantly improved hatchability of fertile eggs. In addition, antibody titre against NDV recorded the highest value with insignificant difference as compared to other treatments.Hens fed diet with 2600 kcal/kg ME and a level of 0.30% M without FA supplementation laid eggs with the highest mean of specific gravity while increasing FA to 10 mg/kg decreased plasma HDL. Increasing the supplementation level of FA in the diet significantly increased daily feed intake while, plasma triglycerides was significantly decreased.A significant increase was observed in Haugh units attributed to feeding hens diet of ME at level of 2600 kcal/kg and 0.40% M without FA supplementation.
Should problematic pornography use be considered an addiction

Problematic use of online pornography can be viewed as a behavioural addiction. A non-systematic literature review was conducted to evaluate the evidence-base for the classification, identification and management of internet pornography addiction. There is evidence that internet pornography addiction is phenomenologically and neurophysiologically similar to drug addiction. Application of the available evidence to clinical practice is limited by a lack of consensus regarding diagnostic criteria and a lack of validated diagnostic tools. Candidate therapies include group-based and online programmes as well as pharmacological treatments. Weak evidence exists to support the use of non-pharmacological approaches, but there is no evidence for the use of pharmacological treatment despite its diffusion in society.
Machine Learning for Opportunistic Spectrum Access with Energy Consumption Constraint

This paper proposes an index based learning algorithm for the opportunistic spectrum access (OSA) scenario modeled as a Markov multi-armed bandit (MAB) problem. The proposed algorithm selects a channel for transmission which is optimal not only in terms of data rate, but in terms of quality as well, i.e. signal to noise ratio (SNR). It allows secondary users (SUs) to give appropriate weight to their desired criterion, such as channel quality, which lead to reliable transmission with lower power, and data rate, by selecting two distinguishable exploration coefficients. In cognitive radio context, we numerically compare the proposed policy with an existing UCB1 and also show that it outperforms traditional UCB1 in terms of transmission power requirement for SU.
MATCHING STUDIES BETWEEN CERN PSB AND PS THROUGH MULTI-TURN BEAM PROFILE ACQUISITIONS

In the framework of the LHC Injectors Upgrade (LIU) project, the investigation and quantification of the optics mismatch between the CERN Proton Synchrotron Booster (PSB) and PS is a crucial step in understanding the source of horizontal emittance growth between the two machines. Extensive studies were carried out to estimate the mismatch from single-pass measurements in the transfer line and to rematch the transfer line to reduce the dispersive mismatch at PS injection while keeping the betatron matching unaltered. This paper presents the results of the data analysis of more recent multi-turn measurements, which profited from a new turn-by-turn beam profile monitor in the PS ring, to assess the achieved level of matching and corresponding emittance growth. The results confirm the improved matching and demonstrate the feasibility of the multi-turn technique as a fundamental tool that will be important for the recommissioning of the renovated transfer line after Long Shutdown 2.
COMPARISON OF NUTRIENT STOCK IN UPPER ORGANIC LAYER OF PURE EUROPEAN BEECH, NORWAY SPRUCE AND MIXED FOREST STANDS OF THESE SPECIES

Seven triplets of plots were established representing a wide gradient of environmental conditions. Each triplet contained one plot with pure European beech stand; one plot with pure Norway spruce stand and one plot with mixed stand of these species. OL and OFH layer were sampled separately from four pits at each plot. Chemical analyses of pH, total (C, N, S), extractable and exchangeable elements and calculated stock of elements were compared between plots with different tree species composition. The stock of litterfall – OL layer – varied between 0.27 t.ha-1 and 1.60 t.ha-1 at most of sites. The stock of OFH layer ranges from 12.4 t.ha-1 to 186.6 t.ha-1 and is systematically decreasing in order N. spruce > mixed stand > E. beech. The difference, however, is not statistically significant. From the whole spectra of chemical properties we found only few significant differences mainly between beech and spruce stands – pH (H2O) and exchangeable K (both higher in beech stands), although e.g. exchangeable Mg contents were systematically the lowest at spruce plots in individual triplets. On the other hand, differences between humus forms (mor and moder) were highly statistically significant for most of nutrients. When the stock of elements in OFH layer was evaluated, significant differences were found for carbon, nitrogen, sulphur, calcium, phosphorus and lead. They are in general lower in European beech stand comparing to spruce and mixtures, which is partly connected with lower stock of organic matter itself. C/N ratio in OFH horizon varied at our plots in rather narrow range from 17.8 to 25.9. It generally decreased from N. spruce across mixed to E. beech stands. The differences, however, were not significant. More surprisingly, even the differences between mor and moder humus type were not significant, although C/N is expected to be one of the humus types diagnostic criteria. One reason could be probably found in increased nitrogen deposition in the Central Europe, which distinctly influences forest ecosystems, and the other in relatively higher throughfall N deposition under N. spruce stands comparing to E. beech. For more information see Summary at the end of the article. Klíčová slova: smíšené porosty; obsah živin; zásoba uhlíku; humusová vrstva
Physical illnesses among psychiatric inpatients in a tertiary care setup

Background: Rates of undiagnosed and untreated medical illnesses are higher in individuals with severe mental illness, compared to the general population. These comorbid medical illnesses result in poorer outcomes, greater severity of symptoms, increased incidence of non-compliance, increased length of stay, increased mortality and healthcare costs. There is a paucity of literature concerning the prevalence of physical illnesses in psychiatric patients from India. Objective: To study the nature and prevalence of physical illnesses in psychiatry inpatients in a tertiary care psychiatry setup. Materials and methods: Consecutively admitted inpatients from the psychiatry ward of a tertiary care centre were recruited for study for six months duration. Detailed general physical examination, systemic examination, and various laboratory investigations were done. Referrals were sought from the respective medical or surgical departments for evaluation. Diagnosis of physical illnesses was validated by the consultant physician. The data were compiled on semi-structured proforma and analysed by using descriptive statistical methods. Results: Seventy per cent patients were found to have associated physical illnesses. Metabolic disorders were present among 28.9% patients followed by endocrinal (25.6%), haematological (18.3%), gastrointestinal (15%), cardiovascular (12.2%), neurological (9.4%), and stomatognathic disorders (8.3%). Conclusion: Index study reports a high prevalence of medical comorbidity in the psychiatric inpatients. There is an urgent need for further research and sensitisation of mental health professionals about recognising the medical comorbidities and their prompt treatment via liaison with physicians and other medical staff.
Dispositional mindfulness and cardiovascular reactivity to sensory rejection and sensory intake tasks

Dispositional Mindfulness and Cardiovascular Reactivity to Sensory Rejection and Sensor Intake Tasks Paula R. Prentice Mindfulness is a trained or dispositional state of “being” that has been linked to positive mental and physical health effects. Although preliminary findings on cortical activation have shown mindfulness to be associated with increased frontal activation and reduced limbic activity, very little is known regarding the influence of mindfulness on autonomic nervous system activity. The present study sought to determine how participants varying in self-reported levels of dispositional mindfulness reacted to tasks differing on attention to environmental stimuli. Cardiovascular reactivity [heart rate, heart rate variability (HRV), and systolic and diastolic blood pressure] to a sensory intake task (computerized reaction time task) was contrasted with reactivity to a sensory rejection task (mental arithmetic). Forty students (71% women) were selected from a large sample of undergraduates and categorized as being high or low in dispositional mindfulness. Congruent with previous research, heart rates increased during the sensory rejection task and decreased during the sensory intake task (p < .01). Additionally, significant differences between tasks were observed for high and low frequency HRV, with heart rate increases to sensory rejection being associated with increased low frequency HRV and heart rate decreases to sensory intake being associated with increased high frequency HRV (ps < .001). Though the proposed Mindfulness Level by Task Type interaction was not significant, results showed that systolic blood pressure reactivity differed between high and low levels of mindfulness ( p < .01), with higher systolic blood pressure reactions being associated with high levels of mindfulness. Further examination of mindfulness factors revealed that the Act with Awareness facet of mindfulness was significantly related to blood pressure reactivity during the sensory intake task, but not during the sensory rejection task, r’s = . 40-. 48, p’s <. 01. Results also revealed that participants high in mindfulness performed much better on the sensory intake task than participants low in mindfulness, but these task performance differences did not explain the elevated blood pressure responses observed among high mindfulness participants. These results replicate and extend existing research reporting task differences in cardiovascular reactivity, indicating that reactivity to sensory rejection tasks is driven by the sympathetic nervous system, whereas reactivity to sensory intake tasks is primarily parasympathetic. Results relating mindfulness and reactivity to stress imply that acting with awareness may be one behavioral mechanism through which dispositional mindfulness influences physiology.
Papers in Evolutionary Economic Geography # 13 . 14 Proximity and Innovation : From Statics to Dynamics

Despite theoretical and empirical advances, the proximity framework has remained essentially static in that the given proximity between actors explains the extent to which they interact in knowledge networks and profit from such interactions. We propose a dynamic extension of the proximity framework of Boschma in which we account for co-evolutionary dynamics between knowledge networking and proximity. For each proximity dimension, we describe how proximities might increase over time as a result of past knowledge ties. We capture these dynamics through the processes of learning (cognitive proximity), integration (organizational proximity), decoupling (social proximity), institutionalization (institutional proximity), and agglomeration (geographical proximity). We end with discussing several avenues for future research on the dynamics of knowledge networking and proximity
Response to the review comments on “ Decadal variation of extreme drought and flood in North China revealed by documentary-based seasonal precipitation reconstruction for the past 300 years ” by Jingyun Zheng

Dear editors and reviewers, Thank you for your valuable comments and thoughtful suggestions on our manuscript. Following your comments on the manuscript, we made careful revisions, and the point-to-point response of the comments is listed below. We hope these revisions would make this manuscript to be more acceptable for publication. Please feel free to contact me if you have any questions. Many thanks again. With best wishes Sincerely yours, Jingyun Zheng
Study on the Evaluation Model of Undergraduates ’ Ideological and Political Status Based on BP Neural Network

Given the different defects of evaluation on undergraduates’ ideological and political status in terms of scientificity, objectivity and operability, fuzzy evaluation method and BP neural network were combined in this paper. Firstly, the evaluation index system and membership function were built according to the characteristics of the study object. Different variables were evaluated by means of dimensionless membership. Then undergraduates’ ideological and political status was evaluated by using the sound nonlinear evaluation ability of BP neural network. Empirical analysis shows that evaluating undergraduates’ ideological and political status by using BP neural network has good effect and high precision, thus providing a new way and basis for evaluating undergraduates’ ideological and political status.
POINT PROCESSES AND FIRST PASSAGE PROBLEMS

In many domains of application of probability theory. it becomes necessary to study various properties of random formations of points. Random sequences of arrival times in queuing systems were studied by C. Palm [17], A. Hincin [9], F. Zitek [23], D. K6nig, K. Matthes and K. Nawrotzki [11] and others. Statistical radiotechnica is also a source of similar problems. Here it became necessary to study the set of times corresponding to the crossing of a fixed level by a random signal (S. Rice [19]. V. Tihonov [22]). It is of interest to study random point formations on the plane, on surfaces, and so forth. In this papei. we describe a general approach which makes it possible to investigate a wide class of random point sets, generated by random processes and fields, from a common point of view. The theory of random point sets and the random streams which correspond to them can be regarded as a special branch of the theory of random processes. However, this branch can lay claim to a certain degree of independence. Specific concepts and methods of investigation arise in it. Ifwe are considering a random sequence of points on the line, then its definition is easily reduced to the problem of specifying a suitably defined random process. In a general setting, such an approach is frequently insufficient. We shall consider an adequately general scheme for defining random point sets and random streams (Belyayev [2], [4]). Let [T, tlT] be a measurable space of values of a parameter t e T, where J/'T is the a-algebra of measurable sets, and [Q, En, P] is the initial probability space of elementary events co E Q.
Geographical Distribution of Electrophoretically Detected Protein Variation in Australian Commercial Fishes

Eight polymorphic loci were detected in a survey for electrophoretically detectable protein variation, carried out using liver samples from the A·ustralian jack mackerel, T. declivis. The distribution of gene and genotype frequencies in sample sets from different areas shows that distinct subpopulations of the species occur in Western Australia and in New Zealand and that two or more geographically overlapping but genetically distinct subpopulations occur in the waters around south-eastern Australia.
More Than Words Alone : Incorporating Broadcasters ’ Nonverbal Communication Into the Stages of Crisis Coverage Theory — Evidence From September 11

This study advances the theoretical development of Graber’s (2002) stages of crisis coverage by explicating the role of nonverbal communication. It begins the process of enlarging the theoretical framework to account for the effects of nonverbal cues. Results support the idea of 3 distinct stages of crisis coverage with journalists’ nonverbal expressions of emotion peaking in the 2nd stage, which is where journalists attempt to make sense of an event. Theoretical developments are explicated and implications for audience effects in news coverage are discussed.
IMPROVING PERFORMANCE IN NEURAL NETWORKS USING FEATURE SELECTION BASED ON RANDOM FORESTS : APPLICATION TO AUTOMATED MEDICAL DIAGNOSIS

Neural networks are well-known for their effectiveness as classifiers. In this context, feature selection has become a usefulness technique to make the classifier faster, cost-effective, and more accurate. The effect of a random forests-based feature selection on the classification accuracy of a multi-layer perceptron has been explored in this paper. Up to 6% improvement in classification accuracy and 40% improvement in computation speed has been observed when using the tandem model on five real-world publically available medical datasets regarding colon cancer, breast cancer, diabetes, thyroid and fetal heartbeat databases.
Use and Misuse of Continuous Integration Features: An Empirical Study of Projects That (Mis)Use Travis CI

Continuous Integration (CI) is a popular practice where software systems are automatically compiled and tested as changes appear in the version control system of a project. Like other software artifacts, CI specifications require maintenance effort. Although there are several service providers like Travis CI offering various CI features, it is unclear which features are being (mis)used. In this paper, we present a study of feature use and misuse in 9,312 open source systems that use Travis CI. Analysis of the features that are adopted by projects reveals that explicit deployment code is rare—48.16 percent of the studied Travis CI specification code is instead associated with configuring job processing nodes. To analyze feature misuse, we propose Hansel—an anti-pattern detection tool for Travis CI specifications. We define four anti-patterns and Hansel detects anti-patterns in the Travis CI specifications of 894 projects in the corpus (9.60 percent), and achieves a recall of 82.76 percent in a sample of 100 projects. Furthermore, we propose Gretel—an anti-pattern removal tool for Travis CI specifications, which can remove 69.60 percent of the most frequently occurring anti-pattern automatically. Using Gretel, we have produced 36 accepted pull requests that remove Travis CI anti-patterns automatically.
Schema Query Containment

SPARQL is a schema query language allowing access to the TBox part of a knowledge base. Moreover its entailment regimes enable to take into account knowledge inferred from persistently stored knowledge bases in the query answering process. Thus, the emergence of SPARQL entailment regimes provide a new perspective for the containment problem. As one has to deal with axiomatic triples, datatype reasoning, and blank nodes that result in infinite answers. Of particular interest for us is the union of conjunctive queries that are a core fragment of SPARQL. In this paper, we study the containment of such queries based on the OWL-ALCH Direct and RDF-Based Semantics entailment regimes.