Miracle-dz/UniFAR-FTUs huggingface dataset:
User evaluation of the performance of information systems

Information technologies (IT) are considered the primary survival factor for many organizations and the most critical success factor in businesses today. To justify the necessary investment in IT, user evaluation of information systems' performance in organizations is a key consideration. This research investigated a comprehensive and convenient means for end users to assess this performance. Among the existing theories and models on the evaluation of information system performance based on intrinsic technological properties, the Web of System Performance (WOSP) model provides the most comprehensive basis for information system evaluation, and therefore merited further investigation. The research question was how well the eight WOSP performance criteria, namely functionality, usability, flexibility, reliability, security, extendibility, connectivity, and privacy, applied in the context of an individual evaluating one or more information systems for use by an organization. For this, it was important to show that, while these performance criteria were abstract concepts, they can be established and identified clearly, in a manner that is valid in the sense of the meaning and that users would consider important. Illustrative statements for each of the eight criteria were therefore obtained, which users were asked to evaluate. Next, it was necessary to show that users prefer the choice of the eight WOSP criteria to the current dominant instrument for evaluation when evaluating software. This was done using a preference questionnaire where subjects rated both the WOSP model and an alternative means of evaluation along various dimensions, the results being compared by statistical analysis. Finally, it was necessary to show that users rate at least three of the WOSP criteria as being important for evaluating information systems. For this, conjoint analysis was used. A browser was selected as the experimental software for this research. The results showed that users found illustrative statements clear, valid and important for the evaluation of browsers. They also preferred using the WOSP model for the evaluation of browsers over TAM, the current dominant model. Finally, while users attached different levels of importance to the various performance criteria for the selection of browsers, five of the criteria were important to a significant degree.
PPA_A_356750 797..808

Purpose:We sought to determine changes in breast cancer-related lymphedema (BCRL) risk-management behaviors in the six-month period after surgery among Chinese breast cancer survivors and to explore the relationship between their socio-demographic and clinical characteristics and these behaviors. Patients and Methods: A longitudinal study design was adopted. Females aged ≥18 years with a first breast cancer diagnosis and who had undergone modified radical mastectomy were recruited from a cancer hospital in China. Respondents with a history of other malignant tumors, mental illness, or cognitive impairment were excluded from the study. Socio-demographic and clinical factors were assessed at baseline. BCRL risk-management behaviors were assessed with the Lymphedema Risk-Management Behavior Questionnaire (LRMBQ) and Functional Exercise Adherence Scale (FEAS) in the first, third, and sixth months after surgery. Repeated-measures analysis of variance was used to examine changes in BCRL risk-management behaviors over the three study time periods, and a generalized linear mixed model was used to determine socio-demographic and clinical factors associated with BCRL risk-management behaviors. Results: A total of 166 participants completed all three assessments. The scores of the total LRMBQ and its “Skin care” and “Lifestyle” subscales did not change significantly, but those of the “Avoidance of limb compression and injury” and “Other matters requiring attention” subscales changed over the three study time periods. Additionally, scores of the total FEAS and most of its subscales changed over the three study time periods. Furthermore, BCRL risk-management behaviors were significantly related to patients’ geographic residence, education level, and tumor stage. Conclusion: Some dimensions of BCRL risk-management behaviors changed over time, and several socio-demographic and clinical factors are related to BCRL risk-management behaviors. It is recommended that health care professionals consider the dynamic nature of BCRL risk-management behaviors and related factors when planning health education and promotion interventions.
Adjuvant or Salvage Radiation Therapy for Prostate Cancer after Prostatectomy: Current Status, Controversies and Perspectives

Simple Summary The management of patients with biochemical recurrence after prostatectomy has undergone significant changes in recent years. Currently, close monitoring of prostate-specific antigen (PSA) with early salvage radiotherapy (RT) in case of recurrence is the standard of care based on several randomized trials and a meta-analysis that has demonstrated its non-inferiority to adjuvant RT. Uncertainties remain regarding the management of patients at very high risk of recurrence, including appropriate selection criteria for adjuvant hormone therapy, and the role of imaging in refining the treatment strategy. This review explains this paradigm shift, raises points of controversy, and suggests ways to think about the future. Abstract Nearly one-third of the patients who undergo prostatectomy for prostate cancer have a biochemical recurrence (BCR) during follow-up. While several randomized trials have shown that adjuvant radiation therapy (aRT) improves biochemical control, this strategy has not been widely used because of the risk of toxicity and the fear of overtreating patients who would not have relapsed. In addition, the possibility of close PSA monitoring in the era of ultrasensitive assays enables to anticipate early salvage strategies (sRT). Three recent randomized trials and their meta-analysis have confirmed that aRT does not improve event-free survival compared to sRT, imposing the latter as the new standard of treatment. The addition of androgen deprivation therapy (ADT) to RT has been shown to improve biochemical control and metastasis-free survival, but the precise definition of to whom it should be proposed is still a matter of debate. The development of genomic tests or the use of artificial intelligence will allow more individualized treatment in the future. Therapeutic intensification with the combination of new-generation hormone therapy and RT is under study. Finally, the growing importance of metabolic imaging (PET/CT) due to its performance especially for low PSA levels will help in further personalizing management strategies.
Euclid preparation

The Complete Calibration of the Colour–Redshift Relation survey (C3R2) is a spectroscopic effort involving ESO and Keck facilities designed specifically to empirically calibrate the galaxy colour–redshift relation – P(z|C) to the Euclid depth (iAB = 24.5) and is intimately linked to the success of upcoming Stage IV dark energy missions based on weak lensing cosmology. The aim is to build a spectroscopic calibration sample that is as representative as possible of the galaxies of the Euclid weak lensing sample. In order to minimise the number of spectroscopic observations necessary to fill the gaps in current knowledge of the P(z|C), self-organising map (SOM) representations of the galaxy colour space have been constructed. Here we present the first results of an ESO@VLT Large Programme approved in the context of C3R2, which makes use of the two VLT optical and near-infrared multi-object spectrographs, FORS2 and KMOS. This data release paper focuses on high-quality spectroscopic redshifts of high-redshift galaxies observed with the KMOS spectrograph in the near-infrared H- and K-bands. A total of 424 highly-reliable redshifts are measured in the 1.3 ≤ z ≤ 2.5 range, with total success rates of 60.7% in the H-band and 32.8% in the K-band. The newly determined redshifts fill 55% of high (mainly regions with no spectroscopic measurements) and 35% of lower (regions with low-resolution/low-quality spectroscopic measurements) priority empty SOM grid cells. We measured Hα fluxes in a 1. ″2 radius aperture from the spectra of the spectroscopically confirmed galaxies and converted them into star formation rates. In addition, we performed an SED fitting analysis on the same sample in order to derive stellar masses, E(B − V), total magnitudes, and SFRs. We combine the results obtained from the spectra with those derived via SED fitting, and we show that the spectroscopic failures come from either weakly star-forming galaxies (at z < 1.7, i.e. in the H-band) or low S/N spectra (in the K-band) of z > 2 galaxies.
Research on Modeling and Load Simulation Algorithm of Tracked Vehicle Braking System on Mu-Split Road Surfaces

The efficient work of the braking system ensures the safety of the driver’s life and property during the driving process. For tracked vehicles, a reliable braking system is the guarantee of completing the job or the task. This paper studies a high-speed electric-driven tracked vehicle’s driving state on different mu-split road surfaces and establishes the braking system model and the longitudinal dynamics model of the vehicle and driving wheels. Steering stability analysis was carried out and a relative motion between the two-sided braking systems resulting in a transfer torque was found. A load simulation test system has been built and the improved forward speed tracking algorithm has been used to adjust the inertia by combining the flywheel and the loading motor to simulate the load of the driving wheel. The results of the motor load simulation test show that the load simulation algorithm in this paper can effectively simulate the load on the driving wheel and restore working conditions of the real tracked vehicle. This paper also conducts the combined braking test of the two-sided system which gives the torque situation on both sides of the vehicle and obtains the transfer torque by applying the load simulation algorithm.
DO DEEP NETWORKS TRANSFER INVARIANCES

To generalize well, classifiers must learn to be invariant to nuisance transformations that do not alter an input’s class. Many problems have “class-agnostic” nuisance transformations that apply similarly to all classes, such as lighting and background changes for image classification. Neural networks can learn these invariances given sufficient data, but many real-world datasets are heavily class imbalanced and contain only a few examples for most of the classes. We therefore pose the question: how well do neural networks transfer class-agnostic invariances learned from the large classes to the small ones? Through careful experimentation, we observe that invariance to class-agnostic transformations is still heavily dependent on class size, with the networks being much less invariant on smaller classes. This result holds even when using data balancing techniques, and suggests poor invariance transfer across classes. Our results provide one explanation for why classifiers generalize poorly on unbalanced and long-tailed distributions. Based on this analysis, we show how a generative approach for learning the nuisance transformations can help transfer invariances across classes and improve performance on a set of imbalanced image classification benchmarks. Source code for our experiments is available at https://github.com/AllanYangZhou/ generative-invariance-transfer.
The Leadership Style and Its Influence on Job Satisfaction through the Work Climate (Study at Servant of Tadulako University)

Employee job satisfaction is important to get the attention of every leader of the organization. This is because satisfied employees can be expected to produce fast, careful and accurate work. On the other hand, dissatisfied employees often take the form of indiscipline, unwillingness to take initiative and innovate. In the end, the resulting product/service is often not as expected. In this study, leadership style is an independent variable which includes; directive leadership style; participative; supportive. Job satisfaction as the dependent variable and work climate as an intervening variable. This study aims to analyze leadership styles that can increase job satisfaction and verify that work climate variables can mediate these effects. To achieve this goal, this study uses a quantitative approach with Tadulako University employees as respondents who filled out a questionnaire, which was circulated via google form, obtained as many as 71 respondents. The data analysis technique used is Partial Least Square (PLS). The results of this study indicate that the work climate can mediate the influence of leadership style on job satisfaction, and then find a leadership style that has a positive influence on employee job satisfaction through the work climate, namely, participative and supportive leadership styles.
Microsoft Word-39738606-file00.docx

DMPK, CNSP iMed Science, AstraZeneca R&D, Innovative Medicines, SE-15185 Södertälje, Sweden (J.A., Y.H., G.E., A.L., P.B., T.B.); Medicinal Chemistry, CNSP iMed Science, AstraZeneca R&D, Innovative Medicines, SE-15185 Södertälje, Sweden (D.T.); and Global DMPK Screening and Profiling, AstraZeneca R&D, SE-15185 Södertälje, Sweden (J.M.) DMD Fast Forward. Published on October 16, 2012 as doi:10.1124/dmd.112. 047597
User Perceptions of Mobile Banking Apps in Tanzania: Impact of Information Systems (IS) Factors and Customer Personality Traits

This study probes the roles that information systems (IS) success factors and user personality traits play in Tanzanian users’ perceptions of their experiences with mobile banking apps. Based on a survey of 249 mobile banking customers, the study finds that users are being positively influenced by the apps’ system quality and system service, but not by the apps’ information quality. The study also finds that, with respect to user personality traits, openness, agreeableness, conscientiousness and extraversion are all traits that have a positive impact on customers’ use of, and satisfaction with, mobile banking apps. The findings suggest that developers of mobile banking apps for the Tanzanian market need to both improve the quality of the information in the apps and continue to target a range of personality traits.
Aluminum Structures A Guide To Their Specifications And Design

Thank you very much for downloading aluminum structures a guide to their specifications and design. As you may know, people have look hundreds times for their chosen novels like this aluminum structures a guide to their specifications and design, but end up in harmful downloads. Rather than reading a good book with a cup of coffee in the afternoon, instead they are facing with some infectious virus inside their laptop.
Smart Cities MOOC: Teaching citizens how to co-create smart cities

There is increasing recognition that the ICT4S community needs to take a role in both developing education and conducting re-search on how to educate people in using ICT to make urban areas more sustainable. In this paper we explore the question how can a Massive Open Online Course (MOOC) be used to engage citizens in learning about smart cities and teach them how to co-create a smart cities project in their community. We discuss our experiences of designing and delivering a Smart Cities MOOC, a multidisciplinary course targeted at an international audience and built upon the pedagogical approach of social learning that is supported through FutureLearn, the MOOC platform on which the course is delivered. We use data gathered from the first presentation of the course to evaluate the motivations, demographics, online participation and experiences of our learners. An analysis of social learning interactions also provides insight into citizens’ views on smart cities and we identify how the MOOC can be adapted to meet the learning needs of smart city initiatives and potential areas for future research.
The XXL Survey

The XMM-XXL Survey spans two fields of 25 deg2 each observed for more than 6 Ms with XMM, which provided a sample of tens of thousands of point sources with a flux limit of ~2.2 × 10−15 and ~1.4 × 10−14 erg s−1 cm2, corresponding to 50% of the area curve, in the soft band (0.5–2 keV) and hard band (2–10 keV), respectively. In this paper we present the spatial clustering properties of ~3100 and ~1900 X-ray active galactic nuclei (AGNs) in the soft and hard bands, respectively, which have been spectroscopically observed with the AAOmega facility. This sample is 90% redshift complete down to an optical magnitude limit of r ≲ 21.8. The sources span the redshift interval 0 < z < 5.2, although in the current analysis we limit our samples to z ≤ 3, with corresponding sample median values of z̅ ≃ 0.96 and 0.79 for the soft band and hard band, respectively. We employ the projected two-point correlation function to infer the spatial clustering and find a correlation length r0 = 7.0(±0.34) and 6.42(±0.42) h−1 Mpc, respectively, for the soft- and hard-band detected sources with a slope for both cases of γ = 1.44(±0.1). The power-law clustering was detected within comoving separations of 1 and ~25 h−1 Mpc. These results, as well as those derived in two separate redshift ranges, provide bias factors of the corresponding AGN host dark matter halos that are consistent with a halo mass of log10[Mh∕(h−1M⊙)] = 13.04 ± 0.06, confirming the results of most recent studies based on smaller X-ray AGN samples.
Current perspectives Themicrobiome and inflammatory bowel disease

Abbreviations used AhR: Aryl hydrocarbon receptor AIEC: Adherent-invasive Escherichia coli ATG16L1: Autophagy-related 16-like 1 CARD9: Caspase recruitment domain–containing protein 9 CD: Crohn disease CLEC7A: C-type lectin domain family 7 member A FMT: Fecal microbiota transplantation IBD: Inflammatory bowel disease iNKT: Invariant natural killer T MAM: Microbial anti-inflammatory molecule NF-kB: Nuclear factor kappa-light-chain-enhancer of activated B cells NOD2: Nucleotide oligomerization domain 2 UC: Ulcerative colitis WT: Wild-type Inflammatory bowel disease (IBD) is a chronic immunemediated disease affecting the gastrointestinal tract. IBD consists of 2 subtypes: ulcerative colitis and Crohn disease. IBD is thought to develop as a result of interactions between environmental, microbial, and immune-mediated factors in a genetically susceptible host. Of late, the potential role of the microbiome in the development, progression, and treatment of IBD has been a subject of considerable interest and enquiry. Indeed, studies in human subjects have shown that the gut microbiome is different in patients with IBD compared with that in healthy control subjects. Other evidence in support of a fundamental role for the microbiome in patients with IBD includes identification of mutations in genes involved in microbiome-immune interactions among patients with IBD and epidemiologic observations implicating such microbiotamodulating risk factors as antibiotic use, cigarette smoking, levels of sanitation, and diet in the pathogenesis of IBD. Consequently, there has been much interest in the possible benefits of microbiome-modulating interventions, such as probiotics, prebiotics, antibiotics, fecal microbiota transplantation, and gene manipulation in the treatment of IBD. In this review we will discuss the role of the gut microbiome in patients with IBD; our focus will be on human studies. (J Allergy Clin Immunol 2020;145:16-27.)
Goal-oriented Vision-and-Dialog Navigation through Reinforcement Learning

Vision-and-dialog navigation is a recent bench-001 mark for evaluating the AI capabilities of 002 perception, interaction, and decision making. 003 While existing methods developed for this 004 benchmark have demonstrated great successes, 005 they mostly rely on large datasets, where data 006 collection can be a challenge, and the learned 007 policies do not adapt to domain changes. In 008 this paper, we focus on a new problem, re-009 ferred to as goal-oriented vision-and-dialog 010 navigation (GVDN), where an agent uses re-011 inforcement learning techniques to compute 012 dialog-navigation policies from trial and error. 013 A robot conducts visual navigation to locate 014 target objects, and can talk to a remote hu-015 man operator as needed. Our remote human 016 operator is able to provide guidance on navi-017 gation only if the robot correctly conveys its 018 current location through dialog. Experiments 019 have been conducted using photo-realistic sim-020 ulation environments. Results suggest that, in 021 success rate, our agent outperforms competi-022 tive baselines, while leveraging human guid-023 ance in this process. 024
Effects of camber of inducer on the performance of a transonic centrifugal compressor

Two types of transonic centrifugal impellers with a slight variation in the inducer blade camber were tested to clarify their effects on the stall and the choke. Regarding choke, the inducer-throat blockage decreased and the choke flow rate increased in spite of a smaller throat area for the lower cambered inducer blade. Regarding inducer stall, the inducer blade camber affected the critical incidence angle against the inducer tip especially at low rotor speeds. Two impellers were also tested in combination with a low-solidity cascade diffuser, and the lower cambered blade impeller realized a wide compressor operating range especially at high rotor speeds.
HEMATOLOGIC INVOLVEMENT IN THAI PATIENTS WITH JUVENILE IDIOPATHIC ARTHRITIS endogenous systemic-onset

Juvenile idiopathic arthritis (JIA) is the most common chronic rheumatic disease in children. Hematologic involvement among patients with JIA is prevalent and varied, ranging from anemia to macrophage activation syndrome (MAS). The aim of this study was to characterize hematologic manifestations and to identify a relationship between anemia of inflammation at the time of diagnosis and disease activity and parameters in Thai patients with JIA. Medical records of 55 children with JIA were reviewed. Disease activity was assessed using the Juvenile Arthritis Disease Activity Score 71 (JADAS-71). The most common hematologic manifestation was anemia (83.6%). Anemia of inflammation was found in 86.9% of JIA patients with anemia. Patients with systemic JIA had significantly more leukocytosis ( p <0.001), neutrophilia ( p <0.001), MAS ( p =0.031), and severe anemia requiring blood transfusion ( p =0.008) than patients with non-systemic JIA. Anemia of inflammation at the time of JIA diagnosis was significantly associated with higher erythrocyte sedimentation rate (ESR) ( p <0.001) and C reactive protein (CRP) concentration ( p <0.001). Hemoglobin level was negatively correlated with arthritis joint count ( r =-0.171), physician global assessment of disease activity ( r =-0.084), patient/parent global assessment of well-being ( r =-0.085), JADAS-71 ( r =-0.351), ESR ( r =-0.555), and CRP concentration ( r =-0.536). Anemia of inflammation was common in Thai patients with JIA. Children with systemic JIA had more severe hematologic involvements than those with non-systemic JIA. Hemoglobin level was negatively correlated with JIA disease parameters, most of which were acute-phase reactants. Early and aggressive treatment of JIA may lessen anemia in JIA patients.