Miracle-dz/UniFAR-FTUs huggingface dataset:
Robot-based tele-echography: clinical evaluation of the TER system in abdominal aortic exploration

OBJECTIVE: The TER system is a robot-based tele-echography system allowing remote ultrasound examination. The specialist moves a mock-up of the ultrasound probe at the master site, and the robot reproduces the movements of the real probe, which sends back ultrasound images and force feedback. This tool could be used to perform ultrasound examinations in small health care centers or from isolated sites. The objective of this study was to prove, under real conditions, the feasibility and reliability of the TER system in detecting abdominal aortic and iliac aneurysms. METHODS: Fifty-eight patients were included in 2 centers in Brest and Grenoble, France. The remote examination was compared with the reference standard, the bedside examination, for aorta and iliac artery diameter measurement, detection and description of aneurysms, detection of atheromatosis, the duration of the examination, and acceptability. RESULTS: All aneurysms (8) were detected by both techniques as intramural thrombosis and extension to the iliac arteries. The interobserver correlation coefficient was 0.982 (P < .0001) for aortic diameters. The rate of concordance between 2 operators in evaluating atheromatosis was 84% +/- 11% (95% confidence interval). CONCLUSIONS: Our study on 58 patients suggests that the TER system could be a reliable, acceptable, and effective robot-based system for performing remote abdominal aortic ultrasound examinations. Research is continuing to improve the equipment for general abdominal use.
Effect of “Nettle Oil” on Oxidative Damage to the Heart and Lungs Induced by Radiation

1Department of Natural Sciences, Faculty of Medicine, West–Kazakhstan Marat Ospanov Medical University, Aktobe, Kazakhstan. 2Department of Radiation diagnostics, Faculty of Medicine, West–Kazakhstan Marat Ospanov Medical University, Aktobe, Kazakhstan. 3Course of dermatovenerology, Faculty of Medicine, West–Kazakhstan Marat Ospanov Medical University, Aktobe, Kazakhstan. *Corresponding Author E-mail: ermar80@mail.ru
What Do Engineers Do All Day? Using LinkedIn Profiles to Study Engineering Work

This full paper examines the potential for using LinkedIn profile analysis to understand engineers' everyday work activity. Calls for change in engineering education are often framed around perceptions of the changing nature of engineering work in present times. Existing research on engineering work, which draws on interviews, ethnography, case studies, or surveys, consistently highlights the social and contextual dimensions of practice, but also suggests that engineering work may have more to do with maintaining existing systems than with creative development of new systems. To add to this growing body of research, in this exploratory study we turn to a novel data source: publicly available descriptions of engineering work available on social networks and job posting sites. Such data sources, if found to be useful, could significantly expand the reach of research on engineering work and provide access to much larger data sets than those obtained through current – predominantly qualitative – methods. This study is a preliminary look at using LinkedIn for these purposes. Specifically, we ask the question, "How does data about engineering work from LinkedIn compare to findings from in-depth interviews? " To answer this question, we use interviews with 15 new engineers at six and 12 months of work, and compare them to participants' LinkedIn profiles. The interviews, collected as part of a separate study, focused on newcomers' workplace responsibilities and challenges. Analysis focused on inductive coding to categorize engineers' work experiences and environments. The findings were then compared to participants' LinkedIn profiles to identify gaps and overlaps.
Protection factors self-efficacy and causal attributions related to academic performance, personal characteristics and life at university at engineering education

This in-progress research paper is studying the relations between academic performance, protection factors, life at university, and personal characteristics, in order to identify protective factors for students' academic success. Engineering undergraduate courses in Brazil are known for their extensive theoretical curricula, overload in classes and content to study, constant failures, and high retention. On the other hand, several students can somehow overcome these difficulties, move on, and conclude studies. Current research studied the relations among academic performance, self-efficacy, causal attributions, personal characteristics, and life at university in a sample of 30 students from an electrical engineering public university in São Paulo state, Brazil, who voluntarily accepted to attend the survey. It was found a statistical relationship between academic performance and protection factors self-efficacy and causal attributions, specifically a positive one with dimensions initiation, persistence, and success, and a negative one with failure. Both positive and negative are due to internal causes. However, personal characteristics variables - such as color or race brown and having primary education in a public school associated with socioeconomic disadvantages in Brazil - showed a negative relationship with academic performance. Due to several sampling limitations, it is suggested further studies with larger samples to investigate the association of academic performance with some of the variables, especially the ones related to social minorities and how to balance them with other protective factors
Effects of Maternal Education on Immunization Adherence Among Under Five Children in Bungoma County

x CHAPTER ONE: INTRODUCTION 1 1.1. 0 Background of the Study 1 1.1.1 Global commitments on Immunisation 1 1.1. 2 Global Efforts on Immunisation coverage 2 1.1. 3 Global and Regional Immunization Coverage 3 1.1. 4. WHO position on immunisation. 5 1.1. 4.1. BCG 5 1.1. 4.2. DTP 5 1.1. 4.3. Polio 6 1.1. 4.4. Measles 6
Second-Order Optimality in Non-Convex Decentralized Optimization via Perturbed Gradient Tracking

In this paper we study the problem of escaping from saddle points and achieving second-order optimality in a decentralized setting where a group of agents collaborate to minimize their aggregate objective function. We provide a non-asymptotic (finite-time) analysis and show that by following the idea of perturbed gradient descent, it is possible to converge to a second-order stationary point in a number of iterations which depends linearly on dimension and polynomially on the accuracy of second-order stationary point. Doing this in a communication-efficient manner requires overcoming several challenges, from identifying (first order) stationary points in a distributed manner, to adapting the perturbed gradient framework without prohibitive communication complexity. Our proposed Perturbed Decentralized Gradient Tracking (PDGT) method consists of two major stages: (i) a gradientbased step to find a first-order stationary point and (ii) a perturbed gradient descent step to escape from a first-order stationary point, if it is a saddle point with sufficient curvature. As a side benefit of our result, in the case that all saddle points are non-degenerate (strict), the proposed PDGT method finds a local minimum of the considered decentralized optimization problem in a finite number of iterations.
Effect of Resveratrol Supplemented to Japanese Quail (Coturnix coturnix japonica) Rations on Performance and Some Biochemical Parameters

This experiment was conducted to evaluate the changes on growth performance, carcass and some biochemical parameters of Japanese quail fed supplemental Resveratrol (Res). A total of 200 quails were distributed at equal body weights into four experimental groups, each consisting of five replicate pens having ten birds/replicate pen: 1basal diet without Res (Control), 2basal diet + 100 mg/kg Res, 3basal diet + 200 mg/kg Res, and 4basal diet + 400 mg/kg Res. There were no significant effects of the supplementation of resveratrol on body weight gain and carcass traits (P>0.05). Inclusion of Res in quail rations improved feed consumption (P<0.05) and feed conversion ratio during the period from 3 to 5 weeks and the throughout (0-5 wks) of the treatment (P<0.05). Malondialdehyde decreased as compared with the control group (P<0.05), but glutathione and nitric oxide did not change by the effect of Res (P>0.05). Glucose, triglyceride, total protein was not influenced by the supplementation of Res (P>0.05). As a result, the findings of this study suggest that Res can be used safely as a growth promoter up to 400 mg/kg in quail rations.
Effect of Peppermint and Multi-enzyme Supplementation on the Carcass Characteristics in the Broiler Chickens

Poultry industry is very important sector that provides the cheapest protein source for human consumption within the shortest production period. Poultry industry is highly dependent on the feed price because feed costs amount to 60-70% of poultry production costs. The science of nutrition involves providing a balance of nutrients that best meets the poultry needs for growth, maintenance and meat production. In the modern feeding practices, feed additives are assuming a position of prime importance in poultry nutrition. The beneficial effects on health status, growth performance as well as nutrient utilization are mainly the reasons, why the feed additives are widely used. Feed additives are generally used to improve feed intake and to increase the growth rate in broilers (Fadlalla et al., 2010; Bali et al., 2011 and Abouelfetouh et al., 2012). Today, throughout the world, the use of antibiotics as growth promoters in animal nutrition has International Journal of Current Microbiology and Applied Sciences ISSN: 2319-7706 Volume 9 Number 9 (2020) Journal homepage: http://www.ijcmas. com
A Framework for Enhancing the Sharing of Teaching Practices among University Instructors

This research in progress paper describes a teaching practices management framework (TPMF) which strongly supports the sharing processes related to Teaching Practices (TPs) – those that can be performed with the help of an information system. Managing with respect to TPs, so that teachers' accumulated experience may be identified, shared and reused, can offer significant benefits, including the introduction of teaching innovations which lead to improvements in overall teaching quality, and the enhancement of academics' professional development efforts. In this paper, we aim to define a teaching practices management framework (TPMF) for enhancing the sharing processes relating to TPs. The development of this TPMF has been informed by semi-structured interviews conducted with 22 instructors working in two universities in Saudi Arabia; these interviews were undertaken in order to better understand the academics' actual knowledge sharing behaviors in relation to TPs and also to gain a systemic and overall perspective of current knowledge sharing approaches. An inductive coding approach was employed to help the researcher extract themes which were mentioned by the interviewees. It is believed that this framework may well be of great assistance to higher education sector institutions.
Geographic and Socioeconomic Disparities in Nutritional Status of Women in Pakistan: Secondary Analysis from Pakistan National Nutrition Survey

Background: Pakistan is experiencing a rapid nutrition transition with a shift from underweight to overweight and obesity. This paper will examine the role of household socioeconomic position (SEP), community SEP and urbanicity on the nutritional status (underweight, overweight and obesity) of Pakistani women. Methods: We analysed data on 34,391 women aged ≥20 years enrolled in 2011 National Nutritional Survey of Pakistan (NNS). The NNS is a nationally representative survey employing a multistage stratified cluster sampling design. We assessed household SEP through a wealth index constructed using items from household possessions, utilities and housing conditions. We assessed the relationship of urbanicity, household and community SEP with categories of body mass index (BMI) using multinomial logistic regression where normal BMI (18.6-22.5 kg/m 2 ) was the reference category. Results: Overall, 15% of women were underweight (BMI<18.5 kg/m 2 ), 14% were pre-overweight (BMI 23.00-24.9 kg/m 2 ), 22% were overweight (BMI 25.0-29.99 kg/m 2 ) and 12% were obese (BMI≥30.0 kg/m 2 ). Households with higher SEP were associated with increased levels of overweight-1 (aOR: 2.91; 95%CI: 2.41-3.50), overweight-2 (aOR: 4.15; 95%CI: 3.31-5.19) and obesity (aOR: 6.20; 95%CI: 4.92-7.81) among women. Women were more likely to be obese in major urban (aOR: 2.34; 95%CI: 2.02-2.71) and urban (aOR: 1.84; 95%CI: 1.62-2.09) areas compared to rural areas. At the community level, communities in rural areas were more likely to have higher levels of underweight, while communities in urban areas were more likely to have higher levels of obesity. Furthermore, the likelihood of underweight and overweight women coexisting within the same community was low in major urban (r=0.67), urban (r=0.55) and rural (r=0.54) areas. Conclusions: In Pakistan, overweight and obesity among women is associated with urbanicity and household and community SEP. Women living in urban areas with high household and community SEP were associated with higher levels of overweight and obesity. Our findings suggest the importance of interventions targeting undernutrition in rural areas and overnutrition in urban areas.
Is there an analog of Nesterov acceleration for gradient-based MCMC?

We formulate gradient-based Markov chain Monte Carlo (MCMC) sampling as optimization on the space of probability measures, with Kullback–Leibler (KL) divergence as the objective functional. We show that an underdamped form of the Langevin algorithm performs accelerated gradient descent in this metric. To characterize the convergence of the algorithm, we construct a Lyapunov functional and exploit hypocoercivity of the underdamped Langevin algorithm. As an application, we show that accelerated rates can be obtained for a class of nonconvex functions with the Langevin algorithm.
BULK PROPERTIES OF THE AIRY LINE ENSEMBLE BY DUNCAN DAUVERGNE

Abstract: The Airy line ensemble is a central object in random matrix theory and last passage percolation defined by a determinantal formula. The goal of this paper is to provide a set of tools which allow for precise probabilistic analysis of the Airy line ensemble. The two main theorems are a representation in terms of independent Brownian bridges connecting a fine grid of points, and a modulus of continuity result for all lines. Along the way, we give tail bounds and moduli of continuity for nonintersecting Brownian ensembles, and a quick proof of tightness for Dyson’s Brownian motion converging to the Airy line ensemble.
Training needs of goat farmers: An analysis

Agriculture and animal husbandry complement and supplement each other. In animal husbandry sector various sub sectors are there but goat husbandry is considered as an effective mean for the below poverty farmers of India because it needs less input and in comparison to that output or profitability remains high. Various farmers oriented training programmes are being organized by different organizations but without assessing their need, interest and convenience. There are multifarious need of farmers with respect to goat husbandry like training need on feeding, breeding, housing, health care, marketing, product preparation, care and management of new born etc. among which need of information related to health care and feeding aspects of animals dominates other needs again they think if training programmes can be organized as per their convenience then that would definitely help them in better management of livestock. So mere organization of training programmes will not solve the purpose, a chain of activities from training need analysis, planning, implementation, follow-up of training activities can bring some desirable changes at the intent level.
Factors Influence the Purchase Intention toward Paid App: Mediating Role of Satisfaction and Moderated Path Analysis of Price

Although the vast development potential that has been forecast for paid app purchases and the mobile game market, slight is recognized about what motivates game players to make such purchases. The purpose of this paper is to form a research model founded on the satisfaction literature and studies of value theory to classify the backgrounds of intention to purchase paid app in the setting of mobile games. The projected model was empirically evaluated using a questioner to collect data for game societies of Pakistan. Data collect to 310 responded that use mobile paid app free version. Multiple regressions were used to measure the research model. The results disclose that satisfaction to the mobile game has significant influence on a player’s intention to make purchase paid apps. The perceived values of the game (playfulness, flow, connectedness and achievement) have direct influence on the satisfaction of all players but appear to have directly impact on the intentions to purchase. Satisfaction was found to have a partial impact on a player’s intention to paid app. Moderating role of high price negative impact on purchase intention of paid app. Our study revealed higher price decrease the purchase intention of satisfied consumers. This study provides a better understanding of how the values encouragement satisfaction among all players of the game, and the purchase intentions of paying players. Further understandings into mobile game app marketing strategies are provided as well.
Comparative in vitro Assessment of Tooth Color Change under the Influence of Nano Fast Cement and MTA

Statement of the Problem: Tooth color changes followed by treatment with bioceramic materials are always a matter of concern. Purpose: The aim of the present in vitro study was to compare tooth discoloration that occurs in human teeth filled with ProRoot WMTA (DENTSPLY Tulsa Dental Specialties, Tulsa, OK) and those filled with Nano Fast Cement (NFC) over the course of 3 months. Materials and Method: In this experimental study, Thirty human intact premolars were obtained. The roots of all teeth were removed by a horizontal cut about 2 mm below the cementoenamel junction. The pulp tissues were removed using a barbed broach (Mani, Tokyo, Japan). The teeth were randomly divided to 3 groups (n= 10) including the control (no material), ProRoot WMTA and NFC. The experimental materials were condensed into the crowns and the teeth ends were sealed with light-cure glass ionomer cement (GC Corporation, Tokyo, Japan). The color was assessed at TBL (baseline; after preparation of the cavities but before placement of the materials), TPO (immediately after placement of the filling material and provisional restoration), T4 (after 4weeks of storage), and T12 (after 12weeks) of storage. Results: The discoloration was evident in all teeth, immediately (TPO) after applying MTA and NFC. The highest ΔΕ was noted in WMTA at 12 weeks, followed by NFC; however, there was no significant difference between the discolorations induced by these two materials. Conclusion: Similar levels of clinically observable tooth discoloration were detected by using either WMTA or NFC.
Survey of Information Extraction Techniques for Pharmacovigilance

Information Extraction (IE) is concerned primarily with the extraction of entities and relationships from text. This study primarily focuses on various approaches to Information Extraction from textual resources, and their immense application to Pharmacovigilance IE. We explore various approaches to entity extraction, relation extraction including rule-based, classical machine learning-based, and deep learning-based approaches. This paper also presents the auxiliary tools and techniques often used in conjunction with IE models to enhance their performance.
Hydrodynamic Stability of a thin volatile liquid film

This paper deals with the nonlinear evolution of a thin liquid film in contact with a hot rigid plate. The liquid phase is separated from its own vapour by a deformable interface. Various mechanisms affect the stability of the film and govern its shape. Among them, we focus on the sur- face tension and its variation with temperature, the evaporation and the resulting vapour recoil pressure resulting from momentum conservation at the interface, the disjoining pressure resulting from molecular interactions with the sub- strate, the temperature discontinuity between vapour and liquid at the interface and the variation of the saturation temperature due to the disjoining pressure and the interfa- cial curvature. We show how the contact angle and the heat flux vary with some of these effects.
1 Quick and Easy Genome Annotation Editing with Apollo

Precise descriptions of annotated genomes are vital for modeling the biological function of genomic elements. The ability of a researcher to visually identify and review diverse sets of information such as genomic and transcriptome alignments, predictive models based on sequence profiles, and predicted regulatory elements and repeat regions are essential for the iterative improvement of the modeling of genomic elements. During analysis, researchers also do functional enrichment analysis (such as GO), and need to update functional annotations. Furthermore, as projects increasingly include annotations of a growing number of organisms as well as geographically dispersed researchers, the ability to quickly integrate multiple genomes, sources of evidence, annotations and researchers is essential. The Apollo genome annotation editor fills these needs by providing a graphical platform for researchers to collaboratively review and revise the predicted features on a genome in real-time, similar to Google Docs. Refinement of genome annotations is made efficient through several features including drag-and-drop editing, a large suite of automated structural edit operations, the ability to pre-define curator comments and annotation status to maintain consistency, attribution of annotation authors, and a visual history of revertible edits. Here, we describe recent improvements that increase the efficient refinement of genome annotations. The first is the automated processing of genomic evidence for annotation, reducing the need for command-line processing of genome annotation evidence. Creating annotation projects can be done by simply uploading the genome's FASTA file. Similarly, genomic annotation evidence can be provided in most cases by uploading GFF3, VCF, BigWig, and BAM files directly in most cases. The second is the ability to associate GO annotations to genome annotations and export in formats such as GPAD or GPI. The third is the ability to predict the effect of individual variants to aid in the annotation of variants. Finally,