Miracle-dz/UniFAR-FTUs huggingface dataset:
Transfer of Graphene with Protective Oxide Layers

Transfer of graphene, grown by chemical vapor deposition (CVD), to a substrate of choice, typically involves the deposition of a polymeric layer (for example, poly(methyl methacrylate) (PMMA), or polydimethylsiloxane, PDMS). These polymers are quite hard to remove without leaving some residues behind. One method to improve the graphene transfer is to coat the graphene with a thin protective oxide layer, followed by the deposition of a very thin polymer layer on top of the oxide layer (much thinner than the usual thickness), followed by a more aggressive polymeric removal method, thus leaving the graphene intact. At the same time, having an oxide layer on graphene may serve applications, such as channeled transistors or sensing devices. Here, we study the transfer of graphene with a protective thin oxide layer grown by atomic layer deposition (ALD). We follow the transfer process from the graphene growth stage through oxide deposition until completion. We report on the nucleation growth process of oxides on graphene, their resultant strain and their optical transmission.
Overlap between moult and autumn migration in passerines in northern taiga zone of Eastern Fennoscandia

Panov, I.N. (2011): Overlap between moult and autumn migration in passerines in northern taiga zone of Eastern Fennoscandia. Avian Ecol. Behav. 19: 33-64. I studied overlap between moult and autumn migration in three passerine species, the Blu- ethroat Luscinia svecica, the Chaffinch Fringilla coelebs, and the Reed Bunting Emberiza schoe- niclus, in the northern taiga zone of Eastern Fennoscandia. For this purpose, recaptures of previously marked birds were analysed. Samples of birds marked at different stages of moult were compared by the estimates of time they stayed at the capture site. Moult stages that co- incide with the onset of autumn migratory movements were determined. Sex-related and an- nual variation in distribution of captures by moult stages is discussed together with age- and species-specific variation in the percentage of moulting individuals among migrants.
Retrievals of heavy ozone with MIPAS

Abstract. A method for retrieval of 18O-substituted isotopomers of O3 in the stratosphere with the Michelson Interferometer for Passive Atmospheric Sounding (MIPAS) is presented. Using a smoothing regularisation constraint, volume mixing ratio profiles are retrieved for the main isotopologue and the symmetric and asymmetric isotopomers of singly substituted O3. For the retrieval of the heavy isotopologues, two microwindows in the MIPAS A band (685–970 cm−1) and six in the AB band (1020–1170 cm−1) are used. As the retrievals are performed as perturbations on the previously retrieved a priori profiles, the vertical resolution of the individual isotopomer profiles is very similar, which is important when calculating the ratio between two isotopomers. The performance of the method is evaluated using 1044 vertical profiles recorded with MIPAS on 1 July 2003. The mean values are separated by latitude bands, along with estimates of their uncertainties. The asymmetric isotopomer shows a mean enrichment of ∼ 8 %, with a vertical profile that increases up to 33 km and decreases at higher altitudes. This decrease with altitude is a robust result that does not depend on retrieval settings, and it has not been reported clearly in previously published datasets. The symmetric isotopomer is considerably less enriched, with mean values around 3 % and with a large spread. In individual retrievals the uncertainty of the enrichment is dominated by the measurement noise (2–4 %), which can be reduced by averaging multiple retrievals; systematic uncertainties linked to the retrieval are generally small at ∼ 0.5 %, but this is likely underestimated because the uncertainties in key spectroscopic parameters are unknown. The variabilities in the retrieval results are largest for the Southern Hemisphere.
Radiation pressure on a two-level atom: an exact analytical approach

The mechanical action of light on atoms is currently a tool used ubiquitously in cold atom physics. In the semiclassical regime, where atomic motion is treated classically, the computation of the mean force acting on a two-level atom requires numerical approaches in the most general case. Here we show that this problem can be tackled in a purely analytical way. We provide an analytical yet simple expression of the mean force that holds in the most general case, where the atom is simultaneously exposed to an arbitrary number of lasers with arbitrary intensities, wave vectors, and phases. This yields a novel tool for engineering the mechanical action of light on single atoms.
Immunoprotection against in fl uenza virus H 9 N 2 by the oral administration of recombinant Lactobacillus plantarum NC 8 expressing hemagglutinin in BALB / c mice $

The H9N2 avian influenza virus (AIV) has become increasingly concerning due to its role in severe economic losses in the poultry industry. Transmission of AIV to mammals, including pigs and humans, has accelerated efforts to devise preventive strategies. To develop an effective oral vaccine against H9N2 AIV, a recombinant Lactobacillus plantarum NC8 strain expressing the hemagglutinin (HA) gene of H9N2 AIV was constructed in this study. Mice were orally immunized with the recombinant NC8-pSIP409-HA strain, and sIgA, IgG and HI antibodies were produced by the NC8-pSIP409-HA strain, which also induced CD8þ T cell immune responses. Most importantly, oral administration produced complete protection against challenge with mouse-adapted H9N2 virus. These results indicate that the recombinant NC8pSIP409-HA was more effective at inducing the mucosal, humoral and cellular immune responses. Therefore, L. plantarum NC8-pSIP409-HA could become a promising oral vaccine candidate against
A Combinatorial Approach for Optimal Sensor Selection

In complex systems, such as automobiles, aircraft, and even smart cities, it is possible to install a large number of sensors that can be used to monitor their states and make decisions regarding their operation and maintenance. However, because the sensors bear their costs and increase the complexity of the monitoring system, it is desirable to select the most inexpensive set of sensors that is sufficient to provide accurate and reliable information. In this paper, we introduce the sensor selection problem and formulate it as an integer linear program. The model is an extension of the minimum test collection problem with respect to several constraints, such as the sensors’ cost which is not necessarily equal. We present an effective exact solution method that uses the special structure of the integer-programming model to reduce its dimension so it can easily be solved. This solution method was implemented and demonstrated to be superior in comparison to a state-of-the-art integer programming solver. Using publicly available datasets from the UCI Machine learning repository, we demonstrate how the Optimization-based Sensor Selection model can be used as an effective feature selection method as well.
Phytochemical analysis of leaves and roots of Mimosa pudica collected from Kalingavaram , Tamil Nadu

Mimosa pudica is used in disease related to blood a n bile, bilious fever, piles, jaundice, leprosy, u lcer and smallpox. In the present study ethanolic extracts o f Mimosa pudica leaves and roots sample were obtain ed using soxhlet apparatus. Phytochemical studies for the pr esence of revealed that tannin and proteins are pre sent in both the samples.
An analysis of common errors leading to excessive student struggle on homework problems in an introductory programming course

Students make many errors in an introductory programming course (aka CS 1). While previous research reports common errors, some errors are normal, being corrected by students in a reasonable amount of time, and being part of the learning process. However, some errors may lead to frustration due to excessive struggle, which may lead to student attrition. We defined a struggle metric using a combination of excessive time spent and excessive attempts, relative to other students in a course and reasonable thresholds. We analyzed struggle on 78 short, auto-graded coding homework problems for an 80-student Spring 2017 introductory C++ programming course at a research university. We found the struggle rate to be 10-15%. Our main focus was to determine the errors that led to such struggle, and thus we manually examined the student submissions for the 10 homework problems having the highest struggle rates. We described the errors and potential underlying student misconceptions that seemed to lead to that struggle. We found that most common errors belong to the following: nested loops, else-if vs. multiple if, random range, input/output, for loop and vector, for loop and if, vector index, negated loop expression, and boolean expressions. Having a deeper understanding of these common errors may aid teachers and authors to help students avoid or correct such errors, thus reducing struggle, which may reduce frustration and potential attrition.
Effects of Strength Based Supportive Therapy on Family Functioning and Coping among Persons with Alcohol Dependence Syndrome

Background: Alcohol dependence is a complex behaviour with far-reaching harmful effects on the family, work, society, as well as on the physical and mental health of the individual. Epidemiological studies conducted in India showed that 20-30% of our population is using alcohol at a harmful level. Mental health professionals provide support and understanding of the illness for the affected individual and family members. They work together on planning treatment; provide mutual support and understanding of the disorder. Aim: To study the effects of strength based supportive therapy on family functioning and coping of persons with alcohol dependence syndrome. Methodology: This was a hospital based intervention study. It had adopted the quasi-experimental before and after with control group research design. Participants were randomly allocated to the experimental and control groups. 10 persons with alcohol dependence syndrome were selected for the study Â five each person with alcohol dependence syndrome and their family members were assigned in the control group (treatment as usual group; TAU) and five persons with alcohol dependence syndrome and their family members were assigned in the experimental group (treatment as usual positive family intervention group). Family functioning was assessed through McMaster family assessment device Patients were assessed through brief cope. Result: The study results indicated a significant improvement in various domains of family functioning in experimental group participants compared to the treatment as usual group. It has also noted improvement in coping among patients. Conclusion: strength based supportive intervention useful for the caregivers as well as it also helps in improving coping among person with alcohol dependence syndrome.
The ACL RD-TEC Annotation Guideline A Reference Dataset for the Evaluation of Automatic Term Recognition and Classification Version 2 . 6

The annotation task: Given a document consisting of a set of sentences, the goal is to mark boundaries of terms in each sentence. Annotated terms are then further classified as instances of semantic categories (concept categories). Purpose of this document: This document provides readers with basic knowledge that is required to successfully perform the annotation task proposed in this document.1 Instructions: Annotators are assumed to read this document carefully before commencing the annotation task. For readers who are familiar with this document, note that a history of changes to this document is provided in Appendix A. Document organisation: This document is organised in five parts. Section 1 provides basic definitions. After reading this section, an annotator is assumed to understand the meaning of term and concept. Section 2 provides information about the annotation procedure. Section 3 outlines termhood criteria intended to help annotators when identifying terms, marking term boundaries and assigning semantic classes. Section 4 provides information about tools that must be used by annotators. Section 5 provides an actual annotation example. 1The previous version of this guideline can be found in QasemiZadeh (2014).
An Introduction to Complex Networks

We review some studies on complex networks. The complex networks often have structural characteristics: the power-law degree distribution; the logarithmic size dependence of the average path length; and the high clustering coefficient. Several network models with such properties are introduced. We also consider the percolation models on the scale-free networks to show how the critical probability and critical behavior change with network topology.
An efficient quantum compiler that reduces T count

Before executing a quantum algorithm, one must first decompose the algorithm into machine-level instructions compatible with the architecture of the quantum computer, a process known as quantum compiling. There are many different quantum circuit decompositions for the same algorithm but it is desirable to compile leaner circuits. A fundamentally important cost metric is the T count—the number of T gates in a circuit. For the single qubit case, optimal compiling is essentially a solved problem. However, multi-qubit compiling is a harder problem with optimal algorithms requiring classical runtime exponential in the number of qubits. Here, we present and compare several efficient quantum compilers for multi-qubit Clifford + T circuits. We implemented our compilers in C++ and benchmarked them on random circuits, from which we determine that our TODD compiler yields the lowest T counts on average. We also benchmarked TODD on a library of reversible logic circuits that appear in quantum algorithms and found that it reduced the T count for 97% of the circuits with an average T-count saving of 20% when compared against the best of all previous circuit decompositions.
Effects of Pressurized Argon and Krypton Treatments on the Quality of Fresh White Mushroom ( Agaricus bisporus )

Effects of argon, krypton and their mixed pressure treatments on the quality of white mushrooms were studied during 9 days of storage at 4˚C. Among all treatments in this study, the minimum respiration rate, polyphenoloxidase activity, retained color change, antioxidants and delayed pseudomonas growth were observed with pressure argon (5 MPa) followed by mixing argon and krypton (2.5 MPa each) treatments. Respiration rates after 9 days of storage were 5.35%, 6.20%, 7.50%, 7.60%, 7.91% and 8.95% for HA5, HAK, HA2, HK5, HK2 and control, respectively. DPPH inhibition percentages of free radical for HA5, HAK, HK5, HA2, HK2 and control mushrooms were 28.03%, 25.24%, 24.96%, 21.87%, 20.56% and 19.06%, respectively, after 9 days of storage. The pressurized argon treatment was the most effective compared to pressurized krypton. Thus, application of pressurized argon and krypton treatments could extend the storage life of white mushrooms to 9 days at 4˚C.
OpenMEE: Intuitive, open‐source software for meta‐analysis in ecology and evolutionary biology

Meta‐analysis and meta‐regression are statistical methods for synthesizing and modelling the results of different studies, and are critical research synthesis tools in ecology and evolutionary biology (E&E). However, many E&E researchers carry out meta‐analyses using software that is limited in its statistical functionality and is not easily updatable. It is likely that these software limitations have slowed the uptake of new methods in E&E and limited the scope and quality of inferences from research syntheses. We developed OpenMEE: Open Meta‐analyst for Ecology and Evolution to address the need for advanced, easy‐to‐use software for meta‐analysis and meta‐regression. OpenMEE has a cross‐platform, easy‐to‐use graphical user interface (GUI) that gives E&E researchers access to the diverse and advanced statistical functionalities offered in R, without requiring knowledge of R programming. OpenMEE offers a suite of advanced meta‐analysis and meta‐regression methods for synthesizing continuous and categorical data, including meta‐regression with multiple covariates and their interactions, phylogenetic analyses, and simple missing data imputation. OpenMEE also supports data importing and exporting, exploratory data analysis, graphing of data, and summary table generation. As intuitive, open‐source, free software for advanced methods in meta‐analysis, OpenMEE meets the current and pressing needs of the E&E community for teaching meta‐analysis and conducting high‐quality syntheses. Because OpenMEE's statistical components are written in R, new methods and packages can be rapidly incorporated into the software. To fully realize the potential of OpenMEE, we encourage community development with an aim to advance the capabilities of meta‐analyses in E&E.
Acoustic-Prosodic Indicators of Deception and Trust in Interview Dialogues

We analyze a set of acoustic-prosodic features in both truth-ful and deceptive responses to interview questions, identifying differences between truthful and deceptive speech. We also study the perception of deception, identifying acoustic-prosodic characteristics of speech that is perceived as truthful or deceptive by interviewers. In addition to studying differences across all speakers, we identify variations in deception production and perception across gender and native language. We conduct machine learning classiﬁcation experiments aimed at distinguishing between truthful and deceptive speech, using acoustic-prosodic features. We also explore methods of leveraging individual traits for deception classiﬁcation. Our results show that acoustic-prosodic features are highly effective at classifying deceptive speech. Our best classiﬁer achieved an F1-score of 72.77, well above both the random baseline and above human performance at this task. This work advances our understanding of deception production and perception, and has implications for automatic deception detection and the development of synthesized speech that is trustworthy.
Immune Regulatory Genes Are Major Genetic Factors to Behcet Disease: Systematic Review

Behcet's disease (BD) is a chronic refractory multi-system autoimmune disorder that occurs in a genetically susceptible host. Multiple genetic factors have been identified that may contribute to the pathogenesis of BD. The major genes with polymorphisms associated with BD include HLA-B and -A, CIITA, ERAP1, MICA, IL10, IL12A, IL12RB2, IL23R, MEFV, IRF8, TNFAIP3, REL, TLR4, NOD1,2, CCR1,CCR3, GIMAP1,2,4, KLRC4, STAT4, NCOA5, FOXP3, PSORS1C1, FUT2, UBAC2, SUMO4, ADO-EGR2, CEBPB-PTPN1, and JPKL-CNTN5. These genes encode proteins involved mainly in immune regulation and inflammation, and some in transcription and post-translational modification. A complete view of these BD-associated genes may provide a clue to this complex disease in terms of its pathogenesis and exploring potentially targeted therapies for BD.
The relationship between physical frailty and sociodemographic and clinical characteristics of elderly

Objective: To investigate the association between the syndrome of physical frailty and sociodemographic and clinical characteristics of elderly users of the basic health care. Methods: Cross-sectional quantitative study. The sample was calculated based on the estimated population proportion and consisted of 203 elderly users of the Basic Health Unit. Tests were applied for screening of cognitive impairment, assessment of physical frailty and sociodemographic and clinical questionnaire. Results: The age and education variables appeared as significant for the group of frail elderlies. The gender, health problems, loneliness, falls and urinary incontinence variables were statistically significant for the non-frail ones. Conclusion: Frailty was related to the sociodemographic variables age and education and non-frailty was related to gender and clinical variables, such as health problems, loneliness, falls and urine incontinence. The identification of the variables associated with frailty allows the development of interventions and specific care for the management of frailty.
Explorer The Samsung and University of Edinburgh ’ s submission to IWSLT 17

This paper describes the joint submission of Samsung Research and Development, Warsaw, Poland and the University of Edinburgh team to the IWSLT MT task for TED talks. We took part in two translation directions, en-de and de-en. We also participated in the en-de and de-en lectures SLT task. The models have been trained with an attentional encoder-decoder model using the BiDeep model in Nematus. We filtered the training data to reduce the problem of noisy data, and we use back-translated monolingual data for domain-adaptation. We demonstrate the effectiveness of the different techniques that we applied via ablation studies. Our submission system outperforms our baseline, and last year’s University of Edinburgh submission to IWSLT, by more than 5 BLEU.
Alcohol and mortality Results from the EPOZ follow-up study

To investigate the association of alcohol intake with mortality from all causes, cardiovascular disease (CVD), cancer and other causes (e.g., accidents, violence, suicide), we performed an analysis of data obtained in a prospective follow-up study conducted in the Netherlands since 1977. Causes of death were defined for a cohort of 1,620 persons (760 men and 860 women) examined in 1977. During the 10-year follow-up period, 123 (7.6%) of the participants died. Frequency of alcohol consumption was obtained separately for wine, beer and liquor by means of a questionnaire. Although no significant association could be established between alcohol consumption and all-cause mortality, all-cause mortality tended to be lower in alcohol consumers compared to abstainers. The ageand sex-adjusted risk estimates of death from CVD were 0.29 (0.11-0.74), 0.46 (0.21-0.96) and 0.32 (0.13-0.77) for subjects with occasional, frequent and daily alcohol use, respectively, compared with those who did not drink at baseline. The mortality risks of never-drinkers and ex-drinkers were similar. A Jor U-shaped relation between alcohol consumption and CVD mortality could not be confirmed in our data but the available information on the amount of alcohol consumed was limited. No significant influence on the risk estimates of death from cancer or other causes was found. However, mortality tended to be higher for those who consumed more alcohol. The protective effect of alcohol intake on CVD mortality found in our data persisted after excluding subjects with cardiovascular or other major diseases at baseline from the analysis.