Miracle-dz/UniFAR-FTUs huggingface dataset:
Synthesis of Iron Oxide Nanoparticles by Different Methods and Study of their Properties

In this work, iron oxide nanoparticles have been synthesized by precipitation in diethylene glycol, by cryochemical synthesis, in microemulsions using surfactants Triton X-100, Brij-35 and CTAB. Comparative spectroscopic, thermal, X-ray diffraction, 57Fe zero-field Mössbauer and magnetic studies of the synthesized nanoparticles have been carried out. Magnetic fluids prepared from synthesized nanopowders have been characterized by calorimetric measurements of specific loss power (SLP).
Passive Layers and Corrosion Resistance of Biomedical Ti-6Al-4V and β-Ti Alloys

The high specific strength, good corrosion resistance, and great biocompatibility make titanium and its alloys the ideal materials for biomedical metallic implants. Ti-6Al-4V alloy is the most employed in practical biomedical applications because of the excellent combination of strength, fracture toughness, and corrosion resistance. However, recent studies have demonstrated some limits in biocompatibility due to the presence of toxic Al and V. Consequently, scientific literature has reported novel biomedical β-Ti alloys containing biocompatible β-stabilizers (such as Mo, Ta, and Zr) studying the possibility to obtain similar performances to the Ti-6Al-4V alloys. The aim of this review is to highlight the corrosion resistance of the passive layers on biomedical Ti-6Al-4V and β-type Ti alloys in the human body environment by reviewing relevant literature research contributions. The discussion is focused on all those factors that influence the performance of the passive layer at the surface of the alloy subjected to electrochemical corrosion, among which the alloy composition, the method selected to grow the oxide coating, and the physicochemical conditions of the body fluid are the most significant.
Injury incidence and prevalence in Finnish top-level football – one-season prospective cohort study

ABSTRACT Ojective To investigate the injury characteristics in Finnish male football players. Design One-season prospective epidemiological study. Data were collected via injury reports from the medical staff and directly from the players using the Olso Sports Trauma Research Center Health Questionnaire. Participants The first team squads of Finnish football league (n = 12 teams, 236 players). Main outcome measurement Injury incidence. Results A total of 541 injuries occurred during the exposure of 62 878 hours. Injury incidence per 1000 exposure hours was 8.6 (30.6 in matches and 3.4 in training). A player sustained on average 2.3 (median 2, range 0–13) injuries during the study. Thigh and ankle were the most commonly injured body parts for acute injuries and hip/groin were the most commonly injured body part for overuse injuries. The median absence time for all injuries was 12 (range 0–107) days, 12 (range 0–107) for acute, and 8 (range 0–61) for overuse injuries. Thigh injuries caused the greatest consequences in terms of absence from full participation (median 5 days, range 0–88). Conclusion Lower limb muscle injuries were the most prevalent injuries in the study. Collecting data directly from the players enabled to report more injuries compared to what was reported only by the medical staff.
Gender as structure in the organisational socialisation of newcomer civil engineers

ABSTRACT While the importance of school-to-work transitions is increasingly recognised, little research has examined the roles that gender plays in those transitions. This is a problem because of the higher rates of attrition of newcomer women engineers than newcomer men engineers. To address that gap in research, this article addresses the questions: What gendered experiences and observations do practicing civil engineers have within their first three years in the workplace? And How can those experiences be accounted for in a model of organisational socialisation? Three sets of interviews were conducted with men and women early career civil engineers in the United States. A model was then created to account for the findings. Men and women had different experiences that point to ways in which gender structures organisational socialisation, and those must be accounted for in studies of organisational socialisation.
Unified SQL Query Middleware for Heterogeneous Databases

With the development of modern computer technology, the data which needs to be stored and processed by modern application systems becomes more and more varied. While traditional relational databases still dominate, NoSQL databases are developing rapidly and occupy a place in the entire industry. Therefore, more and more applications need to connect to multiple database systems at the same time. However, the different characteristics supported by different database systems and the differences in query syntax rules make multi-database application development very complicated. This paper talks about a unified query middleware system that supports federated analytical queries with standard SQL syntax for various data sources and can perform joins, aggregates and filter on data from different data sources in a single query.
Favoritism and Firms: Micro Evidence and Macro Implications

We study the economic implications of regional favoritism, a form of distributive politics that redistributes resources spatially within countries. We use a large sample of enterprise surveys spanning across many low and middle income countries, and utilize transitions of national political leaders for identification. We document strong evidence of regional favoritism among firms located in close vicinity to leader’s birthplaces but not in other regions, nor in home regions before leader’s rise to power. Firms in favored regions become substantially larger in sales and employment, and also produce more output per worker, pay higher wages and, more generally, have higher total factor productivity. Furthermore, evidence from several mechanisms suggests that leaders divert public resources into their home regions by generating higher demand for firms operating in non-tradable sectors. A simple structural model of resource misallocation that is calibrated to match our empirical estimates implies that favoritism generates aggregat eoutput loss of 0.5% annually.
Wetter Summers Mitigated Temperature Stress on Rocky Mountain Forests During the Last Interglacial Warm Period

Recent droughts have highlighted concerns of how rising summer temperatures will increase tree mortality rates across the western United States. We analyzed subfossil wood samples from Colorado dating to the last interglacial to assess the response of two common conifers to a previous warm period. The trees experienced comparable growth rates and water use efficiency during the interglacial relative to modern despite evidence from model simulations of a ∼ 30% increase in evaporative demand during the peak of the growing season. High‐resolution isotopic analysis of the wood samples show an enrichment in the late season cellulosic δ18 O relative to modern samples, which we find was associated with increased reliance on summer rain. The data are consistent with model simulations showing the interglacial was associated with wetter summers across the western US. We propose enhanced summer rain during this period compensated for drought stress imposed by higher evaporative demand.
An Effective Deep Learning Approach for Extractive Text Summarization

- Nowadays, most research on extractive text summarization uses deep learning approaches as they provide better performances than the others. However, a difficulty in these approaches is the shortage of a large dataset for training summarization systems. To deal with this problem, we take advantage of contextualized word embeddings from pre-trained BERT models to produce sentence embedding vectors. These vectors are then used as the input of a Multi-Layer Perceptron classifier for sentence selection. The outputs of the Multi-Layer Perceptron classifier are processed by a Maximal Marginal Relevance algorithm to remove redundant sentences. Finally, the selected sentences are rearranged using information about sentence position in the original document to create a summary. Our proposed system is evaluated by using both English and Vietnamese datasets. Experimental results show that our system achieves promising results comparing to existing researches in this field. and recommendation
Multiscale mapping of plant functional groups and plant traits in the High Arctic using field spectroscopy, UAV imagery and Sentinel-2A data

The Arctic is warming twice as fast as the rest of the planet, leading to rapid changes in species composition and plant functional trait variation. Landscape-level maps of vegetation composition and trait distributions are required to expand spatially-limited plot studies, overcome sampling biases associated with the most accessible research areas, and create baselines from which to monitor environmental change. Unmanned aerial vehicles (UAVs) have emerged as a low-cost method to generate high-resolution imagery and bridge the gap between fine-scale field studies and lower resolution satellite analyses. Here we used field spectroscopy data (400–2500 nm) and UAV multispectral imagery to test spectral methods of species identification and plant water and chemistry retrieval near Longyearbyen, Svalbard. Using the field spectroscopy data and Random Forest analysis, we were able to distinguish eight common High Arctic plant tundra species with 74% accuracy. Using partial least squares regression (PLSR), we were able to predict corresponding water, nitrogen, phosphorus and C:N values (r 2 = 0.61–0.88, RMSEmean = 12%–64%). We developed analogous models using UAV imagery (five bands: Blue, Green, Red, Red Edge and Near-Infrared) and scaled up the results across a 450 m long nutrient gradient located underneath a seabird colony. At the UAV level, we were able to map three plant functional groups (mosses, graminoids and dwarf shrubs) at 72% accuracy and generate maps of plant chemistry. Our maps show a clear marine-derived fertility gradient, mediated by geomorphology. We used the UAV results to explore two methods of upscaling plant water content to the wider landscape using Sentinel-2A imagery. Our results are pertinent for high resolution, low-cost mapping of the Arctic.
Synthesis and characterization of iron oxide thin films for use in electrical devices

OF THE THESIS Synthesis and Characterization of Iron Oxide Thin Films for Use in Electrical Devices by Juan Pablo Gonzalez Master of Science in Chemistry San Diego State University, 2013 We have developed a novel method of preparation of homogeneous transparent iron oxide thin films based on the thermal decomposition of iron tris-2,2’-bipyridine complexes. The resulting films were characterized with optical spectroscopy, optical and scanning electron microscopy and their crystal structure was established with X-ray powder diffraction and Raman spectroscopy. The film morphology is defined by the choice of the iron precursor and the method allows for both monoand multilayer deposition, effectively providing control over film thickness. Addition of tris-2,2’-bipyridine complexes of other metals on the stage of film deposition provides a convenient path towards film doping. Obtained iron oxide films were also tested as photoanodes in dye-sensitized solar cells.
Living with narcolepsy during adolescence: A qualitative study

Abstract RATIONALE: Narcolepsy is a chronic sleep disorder, with typical onset in childhood or adolescence. Features of narcolepsy include excessive daytime sleepiness (EDS), cataplexy, sleep paralysis, hallucinations and disturbed nocturnal sleep. The constellation of symptoms may be challenging for patients to manage. Adolescents with narcolepsy report poor quality of life and mental health concerns. OBJECTIVE: The objective of this report was to understand the experience of living with narcolepsy as an adolescent and its impact on daily functioning, relationships and mental health. METHODS: In-depth, semistructured interviews with adolescents with narcolepsy were conducted from May to August 2019 at the Hospital for Sick Children in Toronto, Canada. Interview questions focused on perceptions of 1) disease symptoms, 2) mental health, 3) daily functioning, 4) relationships and 5) coping. Interviews were digitally audio-recorded for verbatim transcription, coded by two researchers and analyzed using NVivo qualitative data computer software. RESULTS: Eighteen adolescents with narcolepsy (age range = 10-17, mean age = 14.4 ± 2.0, 72.2% male) participated. The findings suggest some of the common symptoms of narcolepsy (eg, EDS) are often experienced as unpleasant, while vivid dreaming may be pleasant. Emotional challenges such as frustration with symptoms and worries about the future are common. Participants emphasize the importance of ongoing support from others (eg, clinical team, teachers) to help with coping with chronic illness. CONCLUSION: Living with narcolepsy poses unique challenges for adolescents and impacts their psychosocial health. We recommend increased psychosocial support from mental health professionals, educational resources for schools and teachers, and peer support groups for adolescent narcolepsy patients.
Microsatellites as Agents of Adaptive Change: An RNA-Seq-Based Comparative Study of Transcriptomes from Five Helianthus Species

Mutations that provide environment-dependent selective advantages drive adaptive divergence among species. Many phenotypic differences among related species are more likely to result from gene expression divergence rather than from non-synonymous mutations. In this regard, cis-regulatory mutations play an important part in generating functionally significant variation. Some proposed mechanisms that explore the role of cis-regulatory mutations in gene expression divergence involve microsatellites. Microsatellites exhibit high mutation rates achieved through symmetric or asymmetric mutation processes and are abundant in both coding and non-coding regions in positions that could influence gene function and products. Here we tested the hypothesis that microsatellites contribute to gene expression divergence among species with 50 individuals from five closely related Helianthus species using an RNA-seq approach. Differential expression analyses of the transcriptomes revealed that genes containing microsatellites in non-coding regions (UTRs and introns) are more likely to be differentially expressed among species when compared to genes with microsatellites in the coding regions and transcripts lacking microsatellites. We detected a greater proportion of shared microsatellites in 5′UTRs and coding regions compared to 3′UTRs and non-coding transcripts among Helianthus spp. Furthermore, allele frequency differences measured by pairwise FST at single nucleotide polymorphisms (SNPs), indicate greater genetic divergence in transcripts containing microsatellites compared to those lacking microsatellites. A gene ontology (GO) analysis revealed that microsatellite-containing differentially expressed genes are significantly enriched for GO terms associated with regulation of transcription and transcription factor activity. Collectively, our study provides compelling evidence to support the role of microsatellites in gene expression divergence.
Developing Corporate Sustainability Assessment Methods for Oil and Gas Companies

As it is predicted that there will be a decrease in production at the oil and gas facilities that are currently operating, it becomes necessary to start developing new oil and gas fields. This results in changes to the state’s policy regarding the participation of private companies in the development and implementation of oil and gas offshore exploration and production new projects. Access to unique fields can be provided to the most socially responsible companies. The purpose of this study is to present the author’s methodology for assessing the dynamics of corporate sustainability. The methodology is based on the assessment of individual, well-founded indicators of sustainable development of companies. The proposed methodology takes into account factors in areas such as occupational health and safety, environmental protection and economic efficiency and identifies two performance indicators. The first indicator is an aggregated index for three groups of factors to assess company ratings relative to the performance of the best company. The second indicator is an assessment of the dynamics within the company relative to the previous values of indicators of corporate social responsibility. The research results obtained using the proposed methodology show that oil and gas companies differ significantly in terms of corporate sustainability. The developed methodology for assessing corporate sustainability is of practical importance and can be used by companies in the analysis and planning of operating and investment activities that ensure the achievement of goals of corporate social responsibility.
Electrochemical Characterization of Ionic Liquid Attached Graphene Nanosheets Composite Electrodes

Supercapacitors have attracted much attention due to their high power density, a long cycle life (>100,000 cycles), and fast charging-discharging rates compared to batteries and conventional capacitors. Supercapacitors could be applied to a broad range of application in vehicle, memory backup system, and mobile communication . Graphene nanosheets (GNS) are prominent materials for supercapacitor electrode because of their high surface area and high electrical conductivity. However, GNS tends to aggregate when obtained by chemical oxidationreduction due to van der Waals interaction. It brings not only a lower specific capacitance but also poor electrical conductivity. So it is very important to prevent the aggregation or restacking of GNS for improving the electrochemical performance of supercapacitors . Recently, ionic liquids (IL) have been attracted as an effective media for the exfoliation of GNS. Properties of IL include thermal stability, wide electrochemical stability, and high ionic conductivity . By modifying surface of GNS with IL, each GNS effectively stabilized via electrostatic interactions. In our study, GNS was modified by 1-butyl-3methylimidazolium hexafluorophosphate (IL). The GNS/IL composites were prepared simply by adding the IL in graphite oxide (GO) suspension prior to reduction procedure. The IL plays a crucial role in obtaining structurally stabilized GNS with enhanced electrochemical properties and in preventing the aggregation of GNS. Microstructure measurements showed that IL was dispersed as many opaque spots on the surface of GNS. The electrochemical properties are investigated by cyclic voltammetry (CV), galvanostatic charge/discharge and electrochemical impedance spectroscopy (EIS). The GNS/IL composites exhibited higher specific capacitance of 114 Fg and good rate capability (66 % retention at 100 mVs) compared to 99 Fg and 37 % retention of pristine GNS. In addition, GNS/IL composites showed enhanced cycle performance (~80 % retention of initial value for 3000 cycles), which was higher than 45 % retention of pristine GNS. Also, lower bulk resistance and high charge transport behaviors were confirmed in the Nyquist plot. Therefore, the prepared GNS/IL composites could be potential electrode materials for supercapacitors. Fig. 1 represents microstructure diagram of the synthesis of GNS/IL composites. Fig. 1 Schematic representation for a preparation of ILattached graphene nanosheets
Performance evaluation of health recommendation system based on deep neural network

Deep learning has developed as an innovative zone of machine learning and data mining exploration part. Controlled or unconfirmed methodologies which contain of a number of layers of handling which form a hierarchy are castoff for preparation in deep learning. Every succeeding layer mines an ever more intellectual depiction of the input data and shapes upon the depiction from the preceding layer, usually by calculating a nonlinear alteration of its input. The constraints of these alterations are adjusted by preparation of the prototypical on a dataset. A deep learning prototypical studies better depiction as it is delivered with more volumes of data. Key objective of using deep learning methods in recommender schemes is to lower time complexity and to increase the accurateness of formed expectations. In this paper, performance of planned HRS is evaluated by Arbitration Time, Latency Time, Jitter, Execution Time, Network Bandwidth Consumption, Power Consumption, Training Accuracy and Testing Accuracy.
PICTURE BOOKS AND HEALTHY EATING HABITS: AN INTERVENTION STUDY IN A GREEK PRESCHOOL SETTING

Experiences with food preferences begin in infancy and continue to develop on children transition to solid food. Children’s food preferences are influenced by availability and familiarity with foods as well as parental modeling and health related picture books. The aim of the study was to evaluate whether picture-books regarding healthy lifestyle can influence children’s eating preferences. A questionnaire related to the use of picture-books at home and lifestyle habits was distributed to all parents. Picture-books were provided to all parents. At the same time children were allocated in two groups: the intervention group, which took part in further activities (cooking), and to a comparison group. Interviews were addressed to the parents after the program. The ethical concern included confidentiality assurance and the choice to withdraw. Findings revealed that the daily reading of books about food was increased in both groups. Most of the families of the intervention group reduced fast food and sweet consumption and increased outdoor activities. Implications on the influence of books and additional activities on promoting child attitudes on healthy food will be discussed. Article visualizations:
Research Progress on Solubility of Ca5(PxAs1-XO4)3(OH) and Ca5(PxAs1-XO4)3F

Solubility studies of apatite in water and acidic media have been focused on the solubility products. Aim at highlighting on current developments, the solubility products of calcium arsenate-phosphate hydroxyapatite/fluorapatite [Ca5(PxAs1-xO4)3(OH)/Ca5(PxAs1-xO4)3 F, 1≥x≥0] in literature is sorted out. Literature values of the solubility products vary greatly. These discrepant solubility products can be due to differences between the minerals, the way the experiments in the studies have been conducted, the failure to achieve equilibrium.
Design and Analysis of a Uniform Meander RF MEMS Switch

Abstract: This paper projected to uniform meander RF MEMS capacitive shunt switch design and analysis. The less pull in voltage is obtained in flexure type membrane by proposed RF MEMS Switch. The materials selection for the dielectric layer and beam is explained in this paper and also shown the performance depends on materials utilized for the design. The good isolation of -31dB is achieved for the pull-in voltage of 11.97V with a spring constant of 2.38N/m is produced by the switch and is obtained by the optimization process at a frequency of 38GHz.