Miracle-dz/UniFAR-FTUs huggingface dataset:
THE ADVANTAGES OF USING CLOUD COMPUTING IN EDUCATIONAL ENVIRONMENT

Cloud services are understood and analyzed more technical perspective, and less in terms of benefits and changes that can bring them this new model for education. Current technology trends indicate that the future of the web will be oriented towards Cloud technologies. Cloud will be provided "as a service" and the Internet of the future will be a tight connection between humans, electronic devices and services. CWS concept (Cloud-based Web Services) describes a platform that connects multiple data storage centers and generate new ways to unify distributed web services. For this reason, the CWS is an essential part of the Cloud environment. In this context, Cloud computing is a modern computerized infrastructure that facilitates rapid provision of resources required. From this perspective, the Cloud platform has changed the way of development and execution of applications in the educational environment. Because the distribution of an application or information or a very fast course, the environment offered by cloud it is understood as a service provider platform (PaaS -Platform as a Service). Using services Clod can be created Centre of shared services at the university, which improves the quality of the educational process (digital content, e-learning, educational hands-on, on demand, training customized, flexible, knowledge management or management route of instruction). Cloud computing enables applications to run without having to infrastructure or constant updates, thus providing effective valid or innovative solutions. The educational environment creates their own applications using tools and libraries provided by the Cloud provider, setting up their development and application, while the service provider provides infrastructure and manages the infrastructure. Cloud computing enables applications to run without having to infrastructure or constant updates, thus providing effective valid or innovative solutions. The educational environment creates their own applications using tools and libraries provided by the Cloud provider, setting up their development and application, while the service provider provides infrastructure and manages the infrastructure.
Bacterial contamination of poultry semen, its dilution and storage

SUMMARY Good quality of semen, its proper dilution with appropriate diluent and storage are the assurance for successful artificial insemination (AI) in poultry. Semen dilution is needed to extend a low volume of good quality poultry semen for economic poultry production through AI. Using diluent, poultry semen can be stored for short and long term. For short-term storage, various diluents have been developed in past and present which preserve high fertilising ability of chicken spermatozoa up to 24 h at low temperature. Research is required for further storage beyond 24 h in chicken and 6 h in turkey to ensure the transportation of the semen to distant places. Protocols for long-term storage of semen for various poultry species are available but its routine commercial application similar to the mammalian species is not economically viable and subjected to the future investigation. Insemination of contamination-free poultry semen into the hens seems to guarantee to get the healthy chicks. However, bacterial contamination is a common problem in poultry semen specially in turkey that deteriorates the semen quality and fertility. To eliminate it, supplementation of antibiotics in semen dilutors is the solution. However, its frequent use poses a threat of developing antibiotic-resistant bacterial strains at AI centres. To overcome these problems, antimicrobial peptides, nanoparticles and various natural bioactive compounds have been used. To detect the contamination, microbiological screening of semen samples is the need of the day. However, it seems impractical under the field condition and necessitates rapid reliable biomarker tests in this regard. Diluent composition along with suitable additives and discovery of proper cryoprotectant are the crucial factors for the effective storage of avian male gametes. Success in these aspects enables to develop cryobanks throughout the world.
Bayesian optimization for assist-as-needed controller in robot-assisted upper limb training based on energy information

Abstract The assist-as-needed (AAN) controller is effective in robot-assisted rehabilitation. However, variations of the engagement of subjects with fixed controller often lead to unsatisfying results. Therefore, adaptive AAN that adjusts control parameters based on individualized engagement is essential to enhance the training effect further. Nevertheless, current approaches mainly focus on the within-trial real-time engagement estimation, and the presence of measurement noise may cause improper evaluation of engagement. In addition, most studies on human-in-loop optimization strategies modulate the controller by greedy strategies, which are prone to fall into local optima. These shortcomings in previous studies could significantly limit the efficacy of AAN. This paper proposes an adaptive AAN to promote engagement by providing subjects with a subject-adaptive assistance level based on trial-wise engagement estimation and performance. Firstly, the engagement is estimated from energy information, which assesses the work done by the subject during a full trial to reduce the influence of measurement outliers. Secondly, the AAN controller is adapted by Bayesian optimization (BO) to maximize the subject’s performance according to historical trial-wise performance. The BO algorithm is good at dealing with noisy signals within limited steps. Experiments with ten healthy subjects resulted in a decrease of 34.59 $\%$ in their average trajectory error, accompanied by a reduction of 9.71 $\%$ in their energy consumption, thus verifying the superiority of the proposed method to prior work. These results suggest that the proposed method could potentially improve the effect of upper limb rehabilitation.
Life in Antarctic deserts and other cold dry environments : astrobiological analogues

1. Introduction Peter T. Doran, W. Berry Lyons and Diane M. McKnight 2. Geologic analogies between the surface of Mars and the McMurdo Dry Valleys: microclimate-related geomorphic features and evidence for climate change David R. Marchant and James W. Head 3. The legacy of aqueous environments on soils of the McMurdo Dry Valleys: contexts for future exploration of Martian soils Jeb E. Barrett, Michael A. Poage, Michael A. Gooseff and Cristina Takacs-Vesbach 4. The Antarctic cryptoendolithic microbial ecosystem Henry J. Sun, James A. Nienow and Christopher P. McKay 5. Antarctic McMurdo Dry Valley stream ecosystems as analog to fluvial systems on Mars Michael A. Gooseff, Diane M. McKnight, Michael H. Carr and Jenny Baeseman 6. Saline lakes and ponds in the McMurdo Dry Valleys: ecological analogs to Martian paleolake environments Jill Mikucki, W. Berry Lyons, I. Hawes, Brian D. Lanoil and Peter T. Doran 7. The biogeochemistry and hydrology of Dry Valley glaciers: is there life on Martian ice now? Martyn Tranter, Elizabeth Bagshaw, Andrew Fountain and Christine Foreman 8. Factors promoting microbial diversity in the McMurdo Dry Valleys, Antarctica Cristina Takacs-Vesbach, Lydia Zeglin, Jeb E. Barrett, Michael A. Gooseff and John C. Priscu 9. Other analogs to Mars: high altitude, subsurface, desert, and polar environments Nathalie A. Cabrol, Dale T. Andersen, Carol R. Stoker, Pascal Lee, Christopher P. McKay and David S. Wettergreen.
Geochemical effects of recharging the Magothy Aquifer, Bay Park, New York, with tertiary-treated sewage

D
Optimal Sizing and Placement of Solar Cell Distributed Generator Suitable for Integrated Power System Environment

A novel fuzzified Clustered Gravitational Search Algorithm (CGSA) has been employed for solving multi-objective problem formulated for solar based distributed generation. Optimal sizing and placement of solar distributed generation is considered. High solar penetration can lead to high-risk level in power system reliability. In order to maintain the system reliability, solar power dispatch is usually restricted based on the reliability level of the system. Two conflicting objective functions such as power loss and reliability level of the system are also considered for solving optimal placement of solar distributed generation (SDG). Binary coded CGSA is employed for solving optimal placement of SDG and sizing is determined using real coded CGSA. The fuzzy membership function for each objective is designed and multi-objective optimal placement problem has been presented. The proposed method is validated on IEEE standard 69-bus radial distribution networks. The efficiency of the proposed optimization technique is validated by comparing the results with other results available in the existing articles.
A N EW A PPROACH B ASED ON T HE D ETECTION OF O PINION BY S ENTIWORDNET F OR A UTOMATIC T EXT S UMMARIES BY E XTRACTION

In this paper, we propose a new approach based on the detection of opinion by the SentiWordNet for the production of text summarization by using the scoring extraction technique adapted to detecting of opinion. The texts are decomposed into sentences then represented by a vector of scores of opinion of this sentences. The summary will be done by elimination of sentences whose opinion is different from the original text. This difference is expressed by a threshold opinion. The following hypothesis: "textual units that do not share the same opinion of the text are ideas used for the development or comparison and their absences have no vocation to reach the semantics of the abstract" Has been verified by the statistical measure of Chi_2 which we used it to calculate a dependence between the unit textual and the text. Finally we found an opinion threshold interval which generate the optimal assessments.
Differential analysis of RNA-Seq data at the gene level using the DESeq 2 package

3 Running the DESeq2 pipeline 8 3.1 Preparing the data object for the analysis of interest . 8 3.2 Running the pipeline . 9 3.3 Inspecting the results table . 9 3.4 Multiple testing . 10 3.5 Diagnostic plots . 12
Introduction

With the impending 50th anniversary of the first publication of Glaser and Strauss’s The Discovery of Grounded Theory (1967), the time feels right to ‘‘talk about what we do in our research and how we do it’’ (Locke, this issue). This conversation began with submission of a well-attended 2013 Academy of Management panel organized by Isabelle Walsh and Judith Holton including Barney Glaser, Lotte Bailyn, Walter Fernandez, and Natalia Levina. Two reviewers (unknown to the panelists) helped to transform the panel transcript into a more tightly scripted contribution to Organizational Research Methods, after which we invited three expert commentaries (Kevin Corley, Deborah Dougherty, and Karen Locke). The panelists then provided a rejoinder and final comments. In the end, I believe that this conversation clarifies points of agreement as well as surfaces differing assumptions and contemporary considerations related to grounded theory (GT). These articles can be read by novices to grounded theory as well as seasoned GT users. I recommend reading the ‘‘conversation’’ as a package—starting with the initial panel, followed by the expert commentaries and panelist rejoinders and final comments. There were several areas of agreement across this conversation. First, that grounded theory can accommodate a variety of data is a clear point of agreement. The panel emerged from discussion of Walsh’s question on a listserv, ‘‘Whoever said that grounded theory is only a qualitative method? ’’ All panelists and commentators agree grounded theory can include any type of data—numbers, words, and, I would add, images. As Dougherty succinctly states, ‘‘Data are data. Period. ’’ Fernandez reiterates this view, ‘‘All is data . [but you need] a research problem, with the data offering a good fit to this problem. ’’ The application of the word qualitative to analysis is misleading, according to Bailyn, who argues for identifying data more precisely as verbal or numeric and clarifying whether modes of analysis are confirmatory and explanatory. So, while there is agreement that numeric data can be included in GT, the way in which we refer to research as qualitative or quantitative has created confusion. Levina extends this agreement on quantitative data in GT by asking: What are we going to do about Big Data? Because Big Data ‘‘cannot be reasonably analyzed with qualitative methods alone,’’ Levina (this issue) calls for inclusion of ‘‘inductive data scientists into the grounded theory research community and [to] start using some of the advance analytical techniques available today. ’’ As well, Dougherty (this issue) identifies a need to ‘‘develop approaches for ‘data mining’ of big data. ’’ Many involved in this conversation discuss the need to visualize data, see longitudinal patterns, and identify what is interesting in the patterns. Levina points out that tools from ‘‘computer science and Organizational Research Methods 2015, Vol. 18(4) 578-580 a The Author(s) 2015 Reprints and permission: sagepub.com/journalsPermissions.nav DOI: 10.1177/1094428115604539 orm.sagepub.com
Bone Mineral Density of the Hip and Knee in Children With Spinal Cord Injury

Abstract Background/Objective: To report on the bone mineral density (BMD) of the hip, distal femur, and proximal tibia in children with spinal cord injury (SCI) of at least 1-year duration and before skeletal maturity. Methods: BMD values were measured in 28 children (age, 9.6 ± 2.5 years; range, 5-13 years) using dualenergy x-ray absorptiometry (DEXA) and were analyzed based on sex, injury, and time since injury. The hip values were compared with reported age- and sex-matched values in children without disability. No comparison was made at the knee because normative data were not available. Results: Average BMD values were 0.48 ± 0.17 g/cm2 for the total hip, 0.48 ± 0.17 g/cm2 at the femoral neck, 0.41 ± 0.17 g/cm2 at the greater trochanter, 0.47 ± 0.17 g/cm2 at Ward's triangle, 0. 38 ± 0.10 g/cm2 at the distal femur, and 0.37 ± 0.07 g/cm2 at the proximal tibia. Trends were observed with respect to sex, level of injury, and time since injury. Z-scores for the femoral neck, greater trochanter, and Ward's triangle were -1.65 ± 1.02, -1.83 ± 1.30, and -1.78 ± 0.78, respectively, representing a 40% lower BMD in comparison with children without disability. Conclusions: Children with a SCI seem to have a substantially lower BMD at the hip and knee in comparison with children without disability, placing them at the same risk for lower extremity fractures as adults with SCI, with potentially higher risks as they age given the lack of activity in a period of their life where exercise is essential for optimal bone health.
Machine Learning Handouts

1 Networks of binary neurons 3 1.1 Stochastic binary neurons and networks . 3 1.1.1 Parallel dynamics: Little model . 6 1.1.2 Sequential dynamics . 6 1.2 Some properties of Markov processes . 7 1.2. 1 Eigenvalue spectrum of T . 7 1.2. 2 Ergodicity and ergodicity breaking . 9 1.3 Summary . 14 1.4 Exercises . 14
Active Expressions: Basic Building Blocks for Reactive Programming

Modern software development without reactive programming is hard to imagine. Reactive programming favors a wide class of contemporary software systems that respond to user input, network messages, and other events. While reactive programming is an active field of research, the implementation of reactive concepts remains challenging. In particular, change detection represents a hard but inevitable necessity when implementing reactive concepts. Typically, change detection mechanisms are not intended for reuse but are tightly coupled to the particular change resolution mechanism. As a result, developers often have to re-implement similar abstractions. A reusable primitive for change detection is still missing. To find a suitable primitive, we identify commonalities in existing reactive concepts. We discover a class of reactive concepts, state-based reactive concepts. All state-based reactive concepts share a common change detection mechanism: they detect changes in the evaluation result of an expression. On the basis of the identified common change detection mechanism, we propose active expressions as a reusable primitive. By abstracting the tedious implementation details of change detection, active expressions can ease the implementation of reactive programming concepts. We evaluate the design of active expressions by re-implementing a number of existing state-based reactive concepts using them. The resulting implementations highlight the expressiveness of active expressions. Active expressions enable the separation of essential from non-essential parts when reasoning about reactive programming concepts. By using active expressions as a primitive for change detection, developers of reactive language constructs and runtime support can now focus on the design of how application programmers should be able to react to change. Ultimately, we would like active expressions to encourage experiments with novel reactive programming concepts and with that to yield a wider variety of them to explore.
Cell-matrix interactions and cell adhesion during development.

INTRODUCTION . • . •••. 27 MOLECULES THAT MEDIATE CELL ADHESION . 28 Extracellular Matrix Proteins . 28 Cell-Cell Adhesion Molecules . 31 ROLE OF MATRIX AND CELL ADHESION MOLECULES IN EMBRYOGENESIS . 35 Preimplantation Development . 35 Ep ithelial Development . ,"" " "" "" """,," '''''''' 38 MDCK Cells and Cell Polarity ". 4 1
A Longitudinal Study of Job Strain and Ambulatory Blood Pressure: Results From a Three-Year Follow-up

Objective This study was conducted to investigate the hypothesis that exposure to "job strain" is related to increased ambulatory blood pressure (ABP). Method Participants were 195 men who wore an ABP monitor for 24 hours on two occasions 3 years apart. Job strain status, evaluated at each assessment, was used to identify four groups: those not having job strain at either assessment (N = 138), those having job strain at both times (N = 15), and two crossover groups. Regression analysis was used to examine the cross-sectional associations of ABP with job strain, controlling for other known risk factors. Repeated-measures analysis of variance was used to examine the association of ABP change with the category of job strain change. Results The cross-sectional analysis of the Time 2 data yielded almost identical, highly significant effects of job strain on ABP as was shown in our previously published Time 1 analysis. Those in high strain jobs at both times had systolic/diastolic ABPs at work and at home that were, on average, 11/7 mm Hg higher than those with no job strain at both times; the crossover groups had intermediate levels of ABP. The longitudinal analysis showed that those with a high strain job at Time 1, but not at Time 2, had a significant decrease in work and home ABP of approximately 5/3 mm Hg. Conclusions The previously reported cross-sectional association between job strain and ABP was replicated at follow-up. The group repeatedly exposed to job strain had higher levels of ABP at Time 2 than either crossover group. Furthermore, change in job strain status partially predicted change in ABP. These results provide new evidence supporting the hypothesis that job strain is an occupational risk factor in the etiology of essential hypertension.
Clinical significance of lifetime panic spectrum symptoms in the treatment of patients with bipolar I disorder.

BACKGROUND Given the observed association between panic disorder and bipolar disorder and the potential negative influence of panic symptoms on the course of bipolar illness, we were interested in the effects of what we have defined as "panic spectrum" conditions on the clinical course and treatment outcome in patients with bipolar I (BPI) disorder. We hypothesized that lifetime panic spectrum features would be associated with higher levels of suicidal ideation and a poorer response to acute treatment of the index mood episode in this patient population. METHODS A sample of 66 patients with BPI disorder completed a self-report measure of lifetime panic-agoraphobic spectrum symptoms. Patients falling above and below a predefined clinical threshold for panic spectrum were compared for clinical characteristics, the presence of suicidal ideation during acute treatment, and acute treatment response. RESULTS Half of this outpatient sample reported panic spectrum features above the predefined threshold. These lifetime features were associated with more prior depressive episodes, higher levels of depressive symptoms, and greater suicidal ideation during the acute-treatment phase. Patients with BPI disorder who reported high lifetime panic-agoraphobic spectrum symptom scores took 27 weeks longer than those who reported low scores to remit with acute treatment (44 vs 17 weeks, respectively). CONCLUSIONS The presence of lifetime panic spectrum symptoms in this sample of patients with BPI disorder was associated with greater levels of depression, more suicidal ideation, and a marked (6-month) delay in time to remission with acute treatment. Alternate treatment strategies are needed for patients with BPI disorder who endorse lifetime panic spectrum features.
Closed Loop Identification for Multi-Area AGC Systems with Power Plant Time Delay Dynamics

Alone with the automatic generation system (AGC) system modelling, a Subspace Model Identification (SMI) algorithm for the AGC system with power plant time delay dynamics is developed. The novel modelling framework utilizes the delayed time to identify dynamic models. These models are identified under closed-loop conditions and produce a joint representation that includes both the plant and controller models in state space form. Based on a typical transformation matrix T, an analytical separation of the plant model from the identified state space model can be achieved. The identified state space matrices of the simulation example showed negligible differences from the original system matrices up to a similarity transformation. Compared to previous research, this work (i) proposes a new modelling framework for identifying closed-loop systems, (ii) introduces a generic structure to represent the controller and (iii) explains how that the new framework gives rise to a simplified determination of the plant models. In contrast, the use of the conventional model approach renders the separation of the plant model a difficult task. Simulations for a typical two area AGC system with power plant time delay dynamics has shown that the approach is available for engineering application.