Miracle-dz/UniFAR-FTUs huggingface dataset:
Eliminating Failure by Learning from It - Systematic Review of IS Project Failure

Researchers analyzing project success and failure emphasize the prevailing challenge of successfully completing information system (IS) projects. We conduct an extensive systematic literature review of factors that contributed to failure of real-life IS projects. Our resulting overview entails 54 failure factors, which we grouped in 10 categories applying data-driven qualitative content analysis. We extend our holistic overview by linking the factors to specific project failure dimensions and integrating a stakeholder perspective to account for failure responsibility. Our analysis yields widely acknowledged failure factors like insufficient stakeholder involvement as well as less common factors like history of prior successes. Researchers gain insights into project failure factors along with responsible stakeholders and affected failure dimensions, and can use our overview to identify factors or areas of concern to guide future research. Our overview provides a pillar for IS practitioners to learn from others and to eliminate failure by avoiding past mistakes.
Unified visualization of quantitative and qualitative playtesting data

A major challenge in studying player experience is tying together the results of quantitative and qualitative games user research (GUR) data. For example, combining data from players' physiological measures with questionnaire or interview results and in-game movement data into a single report is not straightforward because the underlying data is often in different formats. Visualization techniques can facilitate the understanding of relationships among these data sets. Although various visualization techniques have already been introduced in GUR, most of these techniques only focus on displaying large amounts of data captured directly via telemetry without integrating qualitative or contextual data on players' emotional experience. Hence, here we propose a novel visualization approach to triangulate the above mentioned mixed data sources.
Knowledge and Attitude of Physical Therapists towards Sleep Quality Assessment

Aims: The aims of the current study are to determine the knowledge of physical therapists towards sleep and to analyse attitude of physical therapists towards sleep quality assessment. Study Design: This is a cross-sectional study. Place and Duration of Study: The study was conducted among the physical therapists of Methodology: Modified form of “Assessment of Sleep Knowledge in Medical Education (ASKME) Survey” questionnaire was distributed among 170 physical therapists of government and private hospitals of Nawabshah, Hyderabad and Karachi. Questionnaire consists of 4 parts, including demographics questions, assessment of patient’s sleep, physical therapist’s attitude towards sleep quality and assessing their basic sleep knowledge. Data was analysed on the basis frequency and percentages. Results: The results of our study confirm that sleep medicine knowledge was generally low in physical therapists. Among all the physical therapists only 9.5% had higher score while remaining 90.5% had obtained low score in sleep knowledge. Majority of the physical therapists 57.6% routinely assessed their patients sleep by asking subjective information about the quality of sleep and sleep habits. A small number of respondents 23.4% referred their patients to sleep specialists if they suspected any sleep issues. Moreover 49.4% routinely assessed the factors that disturb patients sleep. While only small population 18.4% agreed that they did not know how to assess sleep quality of the patients. Conclusions: The current study concluded that the majority of physical therapists agreed that sleep is important to people's health and they routinely assessed their patients sleep by asking subjective information about the quality of sleep and sleep habits. On the other hand, sleep medicine knowledge was generally low among physical therapists.
The impact of education, training and work experience on job satisfaction and job performance (Study on Bank BRI Purbalingga)

The purpose of this research is to confirm and integrate the Duggan & Horton (2004) and Robbins (2005) founding on the effect of career development on job satisfaction, and the impact of job satisfaction on employee performance. Existing literatures and researches are only talking about the influence of both career development and job satisfaction as independent variables on employee performance. The sample of this research was 80 employees from Bank Rakyat Indonesia (BRI) in Purbalingga. Those samples are determined using the Slovin method. Data were calculated and analyzed using the IBM Statistical Package for Social Science (SPSS) version 25. The results of this research indicate that (1) Education has a positive and significant influence on job satisfaction. (2) Training has a positive and significant influence on job satisfaction. (3) Work experience has a positive and significant influence on job satisfaction. (4) Job satisfaction has a positive and significant influence on employee performance.
MicroRNA-17 promotes cell proliferation and migration in human colorectal cancer by downregulating SIK1

Purpose: There is mounting evidence to indicate that microRNA-17 (miR-17) is expressed and functionally involved in human cancers. However, the molecular mechanism underlying the role of miR-17 in colorectal cancer (CRC) remains largely unclear. This study aims to reveal the biological function of miR-17 in colorectal cancer. Materials and methods: The expression of miR-17 in CRC cells and tissues was examined using qRT-PCR. Cell proliferation and migration assays were performed after transfection with an miR-17 mimic and inhibitors. The potential gene targets of miR-17 were predicted by bioinformatics analysis and further validated by PCR, Western blot and dual luciferase reporter assays. Results: The expression of miR-17 was significantly upregulated in CRC cell lines and tissues and may imply poor prognosis. miR-17 upregulation promoted cell invasion and migration in CRC cell lines in vitro, while downregulation of miR-17 inhibited tumor progression. SIK1 was identified as a potential direct target of miR-17 by dual luciferase reporter assay, and its downregulation in CRC may suggest poor prognosis. Conclusions: Our study indicated that upregulated miR-17 may promote the progression of CRC and may exert its function as a tumor suppressor miRNA by targeting SIK1.
A novel method for medical adverse events classification

Ontology is the fundamental element of the semantic web that is a kind of knowledge presentation and can present the variety of property for concept. According to the regulation of Department of Health, Executive Yuan, R.O. C, the hospital has implemented the new Hospital Accreditation from 2005. Furthermore, the Hospital Accreditation evolves the variety of items of accreditation. Medical adverse event reporting is a kind of the Hospital Accreditation. The system which can deal with the medical adverse event reporting is operated by human at present. None the less, the system caused some questions, such as inconsistent knowledge and human negligence. The research proposed a new framework which can replace the human automatically. First, we get concepts through extraction of information and analyze sentences through classification of events. After that we analyze those classes which can construct variable and dynamic ontology in medical adverse event reporting.
Hybrid Inflation and Price-Level Targeting

In this paper we investigate the properties of monetary regimes that combine price-level and inflation targeting. We look both at an optimal control and at a simple rule characterisation of these regimes. We derive numerical results by modelling the economy as a small-scale open-economy RE model calibrated on UK data. We conclude that: (1) the relative merits of price-level and inflation targeting, as well as of mixes of these two, depend on particular modelling and policy assumptions; and (2) these merits do not always change gradually and/or monotonically as we move from one regime to another.
Prediction of Freezing of Gait in Parkinson's From Physiological Wearables: An Exploratory Study

Freezing of gait (FoG) is a common gait impairment among patients with advanced Parkinson's disease. FoG is associated with falls and negatively impacts the patient's quality of life. Wearable systems that detect FoG in real time have been developed to help patients resume walking by means of rhythmic cueing. Current methods focus on detection, which require FoG events to happen first, while their prediction opens the road to preemptive cueing, which might help subjects to avoid freeze altogether. We analyzed electrocardiography (ECG) and skin-conductance (SC) data from 11 subjects who experience FoG in daily life, and found statistically significant changes in ECG and SC data just before the FoG episodes, compared to normal walking. Based on these findings, we developed an anomaly-based algorithm for predicting gait freeze from relevant SC features. We were able to predict 71.3% from 184 FoG with an average of 4.2 s before a freeze episode happened. Our findings enable the possibility of wearable systems, which predict with few seconds before an upcoming FoG from SC, and start external cues to help the user avoid the gait freeze.
Evidence of innovation performance in the period of economic recovery in Europe

This paper provides empirical evidence on the innovation performance in the European countries in the years of recovery from the global economic and financial crisis by using the CDM model of simultaneous equations. The model directly links R&D engagement and intensity to innovation outcomes measured either as process or as product innovation, and then estimates the effectiveness of the innovative efforts leading to productivity gains. The difference between the drivers of innovation systems and its influence over the productivity growth is analyzed between two different institutional settings in Europe. For that purpose a company-level dataset is used from the 2012 round of the Comunity Innovation Survey. Тhe results indicated that the recent financial crisis had negative influence on the companies’ willingness to innovate. The effect of the crisis led to further divergence in the innovation systems of these two institutional settings. Identifying the characteristics of the innovation systems and drivers of innovation during the turmoil shows that policy instruments on EU level should be oriented towards creation of competitive business environment, encouragement to adopt the best management techniques and organizational structures and improvement of well-functioning capital, product and labor markets.
Protection Versus Pathology in Aviremic and High Viral Load HIV-2 Infection—The Pivotal Role of Immune Activation and T-cell Kinetics

Background. Many human immunodeficiency virus (HIV)–2-infected individuals remain aviremic and behave as long-term non-progressors but some progress to AIDS. We hypothesized that immune activation and T-cell turnover would be critical determinants of non-progressor/progressor status. Methods. We studied 37 subjects in The Gambia, West Africa: 10 HIV-negative controls, 10 HIV-2-infected subjects with low viral loads (HIV-2-LV), 7 HIV-2-infected subjects with high viral loads (HIV-2-HV), and 10 with HIV-1 infection. We measured in vivo T-cell turnover using deuterium-glucose labeling, and correlated results with T-cell phenotype (by flow cytometry) and T-cell receptor excision circle (TREC) abundance. Results. Immune activation (HLA-DR/CD38 coexpression) differed between groups with a significant trend: controls <HIV-2-LV <HIV-1 <HIV-2-HV (P < .01 for all cell types). A similar trend was observed in the pattern of in vivo turnover of memory CD4+ and CD8+ T-cells and TREC depletion in naive CD4+ T-cells, although naive T-cell turnover was relatively unaffected by either infection. T-cell turnover, immune activation, and progressor status were closely associated. Conclusions. HIV-2 non-progressors have low rates of T-cell turnover (both CD4+ and CD8+) and minimal immune activation; high viral load HIV-2 progressors had high values, similar to or exceeding those in HIV-1 infection.
The radial distribution of Type Ia supernovae in early-type galaxies: implications for progenitor scenarios

We study the radial distribution of Type Ia supernovae (SNe Ia) in morphologically selected early-type host galaxies from the Sloan Digital Sky Survey (SDSS) and discuss its implications for the progenitor systems of SNe Ia. While new observations of early-type galaxies suggest that they contain small fractions of young stellar populations, they are also the most likely hosts for long time-delay SNe Ia. We find that there is no statistically significant difference between the radial distribution of SNe Ia and the light profile of their early-type host galaxies, which are dominated by old, metal-rich stellar populations. This confirms the commonly accepted idea that some SN Ia progenitors have time delays of the order of several Gyr.
Send Orders of Reprints at Reprints@benthamscience.org Extra-esophageal Manifestations of Gastroesophageal Reflux Disease: Controversies between Epidemiology and Clicnic

Gastroesophageal reflux disease (GERD) is widely associated with asthma, chronic cough, and laryngitis. Many studies have focused on acidic reflux; however, acid is just one of many factors that can cause pulmonary injury. The discrepancy between the high frequency of GERD in asthmatic patients and the ineffective reflux therapy outcomes in these patients suggests that GERD may cause injury through other mechanisms, such as pepsinogen, pepsin, bile salts, or other components of reflux materials, instead of the acid. Research using appropriate and innovative methodologies to investigate these potential inflammatory agents in patients with GERD is required to determine the underlying factors associated with pulmonary disorders in these patients.
Mathematik in den Naturwissenschaften Leipzig Spectral Estimates and Non-Selfadjoint Perturbations of Spheroidal Wave Operators

We derive a spectral representation for the oblate spheroidal wave operator, which is holomorphic in the aspherical parameter Ω in a neighborhood of the real line. For real Ω, estimates are derived for all eigenvalue gaps uniformly in Ω. The proof of the gap estimates is based on detailed estimates for complex solutions of the Riccati equation. The spectral representation for complex Ω is derived using the theory of slightly non-selfadjoint perturbations.
Real-Time Multiprocessor Architecture for Sharing Stream Processing Accelerators

Stream processing accelerators are often applied in MPSoCs for software defined radios. Sharing of these accelerators between different streams could improve their utilization and reduce thereby the hardware cost but is challenging under real-time constraints. In this paper we introduce entry- and exit-gateways that are responsible for multiplexing blocks of data over accelerators under real-time constraints. These gateways check for the availability of sufficient data and space and thereby enable the derivation of a dataflow model of the application. The dataflow model is used to verify the worst-case temporal behaviour based on the sizes of the blocks of data used for multiplexing. We demonstrate that required buffer capacities are non-monotone in the block size. Therefore, an ILP is presented to compute minimum block sizes and sufficient buffer capacities. The benefits of sharing accelerators are demonstrated using a multi-core system that is implemented on a Virtex 6 FPGA. A stereo audio stream from a PAL video signal is demodulated in this system in real-time where two accelerators are shared within and between two streams. In this system sharing reduces the number of accelerators by 75% and reduced the number of logic cells with 63%.
Joint Cooperative Beamforming and Jamming to Secure AF Relay Systems With Individual Power Constraint and No Eavesdropper's CSI

Cooperative beamforming and jamming are two efficient schemes to improve the physical-layer security of a wireless relay system in the presence of passive eavesdroppers. However, in most works these two techniques are adopted separately. In this letter, we propose a joint cooperative beamforming and jamming scheme to enhance the security of a cooperative relay network, where a part of intermediate nodes adopt distributed beamforming while others jam the eavesdropper, simultaneously. Since the instantaneous channel state information (CSI) of the eavesdropper may not be known, we propose a cooperative artificial noise transmission based secrecy strategy, subjected to the individual power constraint of each node. The beamformer weights and power allocation can be obtained by solving a second-order convex cone programming (SOCP) together with a linear programming problem. Simulations show the joint scheme greatly improves the security.
Effects of Lactobacillus acidophilus and Bifidobacterium bifidum probiotics on the serum biochemical parameters, and the vitamin D and leptin receptor genes on mice colon cancer

Objective(s): The preclinical reports have shown that specific probiotics like Bifidobacterium bifidum (B. bifidum) and Lactobacillus acidophilus (L. acidophilus) can be applied as the biotherapeutic agents in the inhibition or therapy of colorectal cancer via the modification of gut bacteria. In the previous studies, we have assessed the impact of L. acidophilus and B. bifidum probiotics on gut bacteria concentration and also their chemo-protective impact on mice colon cancer. In the following, we assessed the effects of these probiotics on the gene expression of vitamin D receptor (VDR) and the leptin receptor (LPR) and the serum biochemical parameters on mice colon cancer. Materials and Methods: Thirty-six male BALB/c mice were equally shared into 4 groups; (i) health with routine dietary foods without any treatment, (ii) azoxymethane (AOM)-induced mice colon cancer with common dietary foods, (iii) and (iv) AOM-induced mice colon cancer with oral consumption of L. acidophilus and B. bifidum (1×109 cfu/g) for 5 months, respectively. Then, the serum total cholesterol, triglycerides, low-density lipoprotein cholesterol (LDL), high-density lipoprotein cholesterol (HDL), alanine transaminase, alkaline phosphatase, and albumin and also VDR and LPR genes expression were evaluated. Results: Oral consumption of L. acidophilus and B. bifidum probiotics significantly decreased the triglycerides, alkaline phosphatase, LDL, and also the VDR and LPR gene expression in mice colon cancer (P<0.005). Conclusion: L. acidophilus and B. bifidum probiotics with the modification of the biochemical parameters and the expression of the VDR and LPR genes can play a key role in the protection of mouse colon cancer.
Cell-centered finite-volume-based perfectly matched layer for time-domain Maxwell system

The perfectly matched layer (PML) technique is extended for a cell-centered finite-volume time-domain (FVTD) method. A step-by-step procedure for the performance characterization of the FVTD PML is presented for both structured and unstructured finite-volume meshes. The FVTD PML is compared with the standard first-order Silver-Müller absorbing boundary condition (SM ABC) for practical applications. It is found that the FVTD PML for an unstructured grid achieves a reflection coefficient lower than -40 dB for incident angles up to 45° and outperforms the SM ABC by 15-20 dB.
Identifying the relationship between the home environment, parental attributes and learner achievement in reading literacy

Emphasis has been placed nationally and internationally by parents, schools and communities on reading literacy skills as it is essential to be able to participate in today’s society. Reading and literacy skills underpin literacy in formal schooling. However in order for children to cope in formal schooling, children should fist acquire the necessary informal and formal literacy skills. These literacy skills can be developed through early literacy experiences gained within the home context. The home environment plays a vital role in the development and acquisition of children’s reading and literacy skills. It is the researcher’s intention to ascertain the role that the home environment and parental attributes play in influencing the reading literacy achievement of South African Grade 5 learners by conducting a secondary analysis utilising a standard multiple regression analysis (Tabachnick & Fidell, 2007) of the Progress in International Reading Literacy (PIRLS) 2006 data. PIRLS collected data using contextualised questionnaires to gain valuable background information. This study utilised the Learning-to-Read survey (a questionnaire which was completed by the parents or caregivers) in order to study the home environment as well as parental attributes. The conceptual framework of the study comprises home environment and parental attributes which might have an influence on learner reading literacy achievement. The study adapted Myrberg & Rosén’s (2008) model of direct and indirect influences of parental factors on reading achievement as there is absence of a South African model which looks at both the home environment and parent attributes. The study hopes to provide insights through its findings, whether the home environment and parental attributes have an effect on learner reading performance. Particular focus has been placed on parental involvement since it is imperative to establish whether involvement is important for learner reading literacy. Reading literacy is an interactive process and it is clear that a learner will be able to perform at best when guidance is given in a cultural context. Parents, who actively take part in not only their children’s upbringing but their children’s literacy skills, can make an important contribution to their children’s reading literacy. There are cases in South Africa where parents are poorly educated but it did not stop them in inculcating a
Metacognition and Metamemory Concepts for AI Systems

Recent advances in cognitive computing suggest that computers can do as well as humans, even across multiple information sources and information types [4]. This work establishes an artificial cognitive neural framework to provide Metacognitive and Metamemory processing concepts similar to how the human brain operates to process, categorize and link information. Metacognition provides an Artificial Intelligence system with a sense of Self-Analysis, or Introspection, allowing the system to “think about what it thinks. ” Metamemory is a concept of an Artificial Intelligence system’s memory capabilities and strategies that can aid in memory representation, retention, mining, retrieval, as well as the processes involved in memory Self-Monitoring. Metamemory constructs for an Artificially Intelligent system has important implications about how the system learns and uses memory. For example, the system can make a judgment on whether it has enough information to complete a mission, known as “judgments of learning. ” Presented here will be the derivation and application of Metacognition and Metamemory concepts to real-time system utilizing Artificial Intelligence and Intelligent Information Agents, including capture and utilization of Emergent Behavior, or concept derivation, allowing a system to preserve its own attention, avoiding interruption and distraction during the analytical process [1, 2].
An Exactly Solvable Kondo Problem for Interacting One-Dimensional Fermions.

The single impurity Kondo problem in the one-dimensional $\delta$-potential Fermi gas is exactly solved for two sets of special coupling constants via Bethe ansatz. It is found that ferromagnetic Kondo screening does occur in one case which confirms the Furusaki-Nagaosa conjecture while in the other case it does not, which we explain in a simple physical picture. The surface energy, the low temperature specific heat and the Pauli susceptibility induced by the impurity and thereby the Kondo temperature are derived explicitly.