Miracle-dz/UniFAR-FTUs huggingface dataset:
Interactions between Starch, Lipids, and Proteins in Foods: Microstructure Control for Glycemic Response Modulation

In real food, starch is usually forming part of a matrix with lipids and proteins. However, research on this ternary system and interactions between such food components has been scarce so far. The control of food microstructure is crucial to determine the product properties, including sensorial and nutritionals ones. This paper reviews the microstructural principles of interactions between starch, lipids, and proteins in foods as well as their effect on postprandial glycemic response, considering human intrinsic differences on postprandial glycemic responses. Several lines of research support the hypothesis that foods without rapidly digestible starch will not mandatorily generate the lowest postprandial glycemic response, highlighting that the full understanding of food microstructure, which modulates starch digestion, plays a key role on food design from a nutritional viewpoint.
Identification of Factors that Enable or Impede the Cloud Computing Adoption Decision

Cloud computing has altered the way organizations deploy and manage their information technology infrastructure. The objective of this paper is to identify and examine the factors that enable as well as inhibit the adoption of cloud computing by organizations. The key focus of this study is the identification of these enablers at the organizational level. The findings from this studycontribute to the practice through providing a better understanding of the issues associated with the organizational decision regarding the adoption of a cloud platform in contrast to the traditional way of implementing and managing information technology solutions at the organizational level.
Validity of activity measurement using a smart phone

Since smart phones are equipped with built-in accelerometers they can be used for self-monitoring of physical activity which is an important health behavior and predictor of functioning, especially in older adults. The objective of this study is to investigate the validity of a smart phone-based activity monitoring application in adults aged below and above 65 years old. Ten adults aged below 65 years (mean of 33, standard deviation 13.7) and ten adults aged 65 years or older (mean 76, standard deviation 5.5) were asked to monitor their daily physical activity with a smart phone and an ActiGraph GT3X for 7 consecutive days. Spearman correlations between the counts per minute of the two devices were calculated for adults aged below and above 65 years separately. For both devices, each monitored minute was classified into four categories of activity intensity based on the counts per minute: sedentary, light, moderate, and high activity intensity. Association and agreement between the two devices was analyzed for separately for the two groups using Pearson's Correlations and paired t-tests. Data from 10 adults aged below 65 years and 10 adults aged above 65 years could be included in the analyses. Spearman correlations in adults aged below 65 years varied between 0.62 and 0.89 and correlations in adults aged above 65 years varied between 0.73 and 0.98. Pearson's correlations between the two devices for total number of minutes spent in different activity intensity categories per day per participant were high in both groups (range 0.79–0.98). Paired t-tests revealed that the smart phone underestimates the number of sedentary minutes per day in participants aged below and above 65 years with 6.45% and 6.78% respectively.
Graphics Visualization of Specific Dashboards in Transport Technologies

This paper describes a Web application that was developed at our faculty last year. This application visualizes the results of monitoring traffic in city centers. The method of visualization is performed by using of interactive graphs. Complex JavaScript components were designed in order to encapsulate the selected technology that works with charts in a Web environment. The application is designed as an independent library that can be easily implemented into other programs and used as its graphical visualization solutions in these applications. The design and complete implementation are performed with a respect to use it in the real environment and data processing in the field of traffic monitoring.
Modeling and prediction of subject accrual and event times in clinical trials: a systematic review

Background Modeling and prediction of subject accrual and event times in clinical trials has been a topic of considerable interest for important practical reasons. It has implications not only at the initial planning stage of a trial but also on its ongoing monitoring. Purpose To provide a systematic view of the recent research in the field of modeling and prediction of subject accrual and event times in clinical trials. Methods Two classes of methods for modeling and prediction of subject accrual are reviewed, namely, one that uses the Brownian motion and the other uses the Poisson process. Extensions of the accrual models in multicenter clinical trials are also discussed. Trials with survival endpoints require proper joint modeling of subject accrual and event/lost-to-follow-up (LTFU) times, the latter of which can be modeled either parametrically (e.g., exponential and Weibull) or nonparametrically. Results Flexible stochastic models are better suited when modeling real trials that does not follow constant underlying enrollment rate. The accrual model generally improves as center-specific information is accounted for in multicenter trials. The choice between parametric and nonparametric event models can depend on confidence on the underlying event rates. Limitations All methods reviewed in event modeling assume noninformative censoring, which cannot be tested. Conclusions We recommend using proper stochastic accrual models, in combination with flexible event time models when applicable, for modeling and prediction of subject enrollment and event times in clinical trials.
Infection of Macrophage Primary Cultures by Persistent and Nonpersistent Strains of Theiler's Virus: Role of Capsid and Noncapsid Viral Determinants

ABSTRACT We compared the infection of bone marrow macrophages by the DA and GDVII strains of Theiler's virus and by two viruses constructed by exchanging the DA and GDVII capsids. The replication of the GDVII strain and of both chimeric viruses was restricted in macrophages. Therefore, the infection of macrophages requires both capsid and noncapsid viral determinants.
Development and application of a decision model for synchronizing condition-based maintenance at ASML

This master thesis is concerned with opportunistic maintenance on a high tech, complex, capital intensive system that is subject to random failures, deterioration, and high downtime cost. One of the system components is subject to continuous condition monitoring, which implies that the monitored component’s condition, status or “health” is known. Once the monitored condition exceeds a predetermined critical limit, a scheduled down (SD) of the system is arranged as quickly as possible. During this SD preventive maintenance (PM) is performed on the monitored component. Besides the condition-based maintenance (CBM) of the monitored components, the other system components are subject to failure-based maintenance (FBM), and periodic maintenance (PerM). For the monitored component a control limit for opportunistic maintenance is introduced. The setup of this limit implies that once it is crossed, the monitored component becomes eligible for opportunistic preventive maintenance (OPM). OPM is PM that is combined with the maintenance of another system component, which can be either FBM or PerM. Each time maintenance is performed, the system is down, which leads to high downtime cost. By introducing the OPM control limit, and performing CBM simultaneously with either FBM or PerM, the downtime of the system can be reduced. This is called synchronizing CBM with both FBM and PerM. Using degradation modeling and Renewal theory, a mathematical optimization model is constructed that attempts to find the OPM control limit that minimizes the expected total maintenance cost. A case study is performed that describes the application of this model in the current maintenance operations of ASML. It is shown how ASML benefits from using the condition data for synchronizing CBM, and how the results can be implemented. keywords and phrases proactive maintenance, condition based maintenance, maintenance planning, parameter monitoring, degradation modeling, renewal theory, downtime, cost reduction
Evaluation of the Plant–Craig stochastic convection scheme (v2.0) in the ensemble forecasting system MOGREPS-R (24 km) based on the Unified Model (v7.3)

Abstract. The Plant–Craig stochastic convection parameterization (version 2.0) is implemented in the Met Office Regional Ensemble Prediction System (MOGREPS-R) and is assessed in comparison with the standard convection scheme with a simple stochastic scheme only, from random parameter variation. A set of 34 ensemble forecasts, each with 24 members, is considered, over the month of July 2009. Deterministic and probabilistic measures of the precipitation forecasts are assessed. The Plant–Craig parameterization is found to improve probabilistic forecast measures, particularly the results for lower precipitation thresholds. The impact on deterministic forecasts at the grid scale is neutral, although the Plant–Craig scheme does deliver improvements when forecasts are made over larger areas. The improvements found are greater in conditions of relatively weak synoptic forcing, for which convective precipitation is likely to be less predictable.
Myeloid Sarcoma Occurring in the Maxillary Gingiva: A Case without Leukemic Manifestations

Myeloid sarcoma (MS) is a localized extramedullary mass of immature granulocytic cells that usually occurs in patients with acute myeloid leukemia (AML) or myeloproliferative disorders. It may rarely precede peripheral blood or bone marrow involvement, presenting a diagnostic challenge. Although MS may be found in any location, an intraoral occurrence is rare. In this report we describe a rare case of a patient with nonleukemic MS of the maxillary gingiva.The histologic specimen was first interpreted as non-Hodgkin’s lymphoma. The correct diagnosis was reached after extensive immunohistologic studies. The malignant cells were myeloperoxidase positive, lysozyme positive, CD45+, CD68+,CD3-, CD10-, CD19-, CD20-, CD30-, CD34-, CD56-, CD79a-, S100-, and chloroacetate esterase negative. Induction therapy with FLAND (fludarabine, Ara-C, mitoxantrone, and dexamethasone) was started, but the patient did not achieve a remission. Some weeks later, the patient presented pleural effusion and paralysis of the seventh cranial nerve on the left side. She died a few days later.The present case indicates the importance of a correct initial diagnosis for adequate therapy, which is often delayed because of a high misdiagnosis rate. If the MS is treated without intensive chemotherapy for AML as soon as possible, the prognosis will be poor.
Effectiveness of Student Feedback in Modifying College Instruction.

An experimental study was conducted at five colleges to investigate the extent to which college teachers modify their instructional practices after receiving student feedback. Variables included teaching experience, sex, and self-ratings of the instructor, as well as course subject area. On the basis of equilibrium theory, a major hypothesis of this study was that student ratings would produce changes in teachers who had rated themselves more favorably than their students had rated them. Results of a regression analysis generally supported this hypothesis. A second conclusion of the study was that additional time (i.e., more than a half of a semester), along with comparative data to help the individual teacher interpret his feedback, also helped produce modest changes in teachers' instructional practices.
Corporate Governance and Loan Syndicate Structure

Firms with greater shareholder rights have higher risk-shifting incentives. Such firms should have more concentrated loan syndicates to ensure more intensive monitoring. In the United States, the second generation antitakeover laws reduced the shareholder rights significantly. We find that loan syndicates became significantly less concentrated after the passage of these laws. Our results are robust to legal, institutional and political economy considerations that affect these tests. Additional tests support the risk-shifting channel. Our results have important implications for understanding how corporate governance causally affects financial contracting and creditor control in firms.
The Role of Top Management Teams in Formulating and Implementing Turnaround Strategies: A Review and Research Agenda

Both business commentators and scholarly researchers have acknowledged the key role that top management teams (TMTs) play in reversing the fortunes of failing firms. Nonetheless, relatively few empirical studies have investigated the importance of TMTs in turnaround situations. To encourage such studies, we draw upon the multiple theories employed in TMT research as a guide to review studies that have examined how TMTs formulate and implement turnaround strategies. Based on this review, we highlight TMT topics that have received limited attention in the turnaround literature and, thus, represent opportunities for future research. We conclude by discussing methodological issues that should be considered when examining a TMT's role in a turnaround situation.
Parser self-training for syntax-based machine translation

In syntax-based machine translation, it is known that the accuracy of parsing greatly affects the translation accuracy. Self-training, which uses parser output as training data, is one method to improve the parser accuracy. However, because parsing errors cause noisy data to be mixed with the training data, automatically generated parse trees do not always contribute to improving accuracy. In this paper, we propose a method for selecting self-training data by performing syntaxbased machine translation using a variety of parse trees, using automatic evaluation metrics to select which translation is better, and using that translation’s parse tree for parser selftraining. This method allows us to automatically choose the trees that contribute to improving translation accuracy, improving the effectiveness of self-training. In experiments, we found that our self-trained parsers significantly improve a state-of-the-art syntax-based machine translation system in two language pairs.
Normative Data for a Computer-Assisted Version of the Auditory Three-Consonant Brown-Peterson Paradigm in the Elderly French-Quebec Population

The Brown-Peterson task is used to assess verbal short-term memory as well as divided attention. In its auditory three-consonant version, trigrams are presented to participants who must recall the items in correct order after variable delays, during which an interference task is performed. The present study aimed to establish normative data for this test in the elderly French-Quebec population based on cross-sectional data from a retrospective, multi-center convenience sample. A total of 595 elderly native French-speakers from the province of Quebec performed the Memoria version of the auditory three-consonant Brown-Peterson test. For both series and item-by-item scoring methods, age, education, and, in most cases, recall after a 0-second interval were found to be significantly associated with recall performance after 10-second, 20-second, and 30-second interference intervals. Based on regression model results, equations to calculate Z scores are presented for the 10-second, 20-second and 30-second intervals and for each scoring method to allow estimation of expected performance based on participants’ individual characteristics. As an important ceiling effect was observed at the 0-second interval, norms for this interference interval are presented in percentiles.
Symmetric Phase-Only Matched Filtering of Fourier-Mellin Transforms for Image Registration and Recognition

Presents a new method to match a 2D image to a translated, rotated and scaled reference image. The approach consists of two steps: the calculation of a Fourier-Mellin invariant (FMI) descriptor for each image to be matched, and the matching of the FMI descriptors. The FMI descriptor is translation invariant, and represents rotation and scaling as translations in parameter space. The matching of the FMI descriptors is achieved using symmetric phase-only matched filtering (SPOMF). The performance of the FMI-SPOMF algorithm is the same or similar to that of phase-only matched filtering when dealing with image translations. The significant advantage of the new technique is its capability to match rotated and scaled images accurately and efficiently. The innovation is the application of SPOMF to the FMI descriptors, which guarantees high discriminating power and excellent robustness in the presence of noise. This paper describes the principle of the new method and its discrete implementation for either image detection problems or image registration problems. Practical results are presented for various applications in medical imaging, remote sensing, fingerprint recognition and multiobject identification. >
The incidence of secondary vertebral fracture of vertebral augmentation techniques versus conservative treatment for painful osteoporotic vertebral fractures: a systematic review and meta-analysis

Background Percutaneous vertebroplasty (PVP) and balloon kyphoplasty (BKP) are minimally invasive and effective vertebral augmentation techniques for managing osteoporotic vertebral compression fractures (OVCFs). Recent meta-analyses have compared the incidence of secondary vertebral fractures between patients treated with vertebral augmentation techniques or conservative treatment; however, the inclusions were not thorough and rigorous enough, and the effects of each technique on the incidence of secondary vertebral fractures remain unclear. Purpose To perform an updated systematic review and meta-analysis of the studies with more rigorous inclusion criteria on the effects of vertebral augmentation techniques and conservative treatment for OVCF on the incidence of secondary vertebral fractures. Material and Methods PubMed, MEDLINE, EMBASE, SpringerLink, Web of Science, and the Cochrane Library database were searched for relevant original articles comparing the incidence of secondary vertebral fractures between vertebral augmentation techniques and conservative treatment for patients with OVCFs. Randomized controlled trials (RCTs) and prospective non-randomized controlled trials (NRCTs) were identified. The methodological qualities of the studies were evaluated, relevant data were extracted and recorded, and an appropriate meta-analysis was conducted. Results A total of 13 articles were included. The pooled results from included studies showed no statistically significant differences in the incidence of secondary vertebral fractures between patients treated with vertebral augmentation techniques and conservative treatment. Subgroup analysis comparing different study designs, durations of symptoms, follow-up times, races of patients, and techniques were conducted, and no significant differences in the incidence of secondary fractures were identified (P > 0.05). No obvious publication bias was detected by either Begg’s test (P = 0.360 > 0.05) or Egger’s test (P = 0.373 > 0.05). Conclusion Despite current thinking in the field that vertebral augmentation procedures may increase the incidence of secondary fractures, we found no differences in the incidence of secondary fractures between vertebral augmentation techniques and conservative treatment for patients with OVCFs.
Multimodal education in anatomy: The perfect opportunity

When anatomy education in medical schools is mentioned thoughts go to hours sitting in a lecture hall, four students working on a cadaver dissection and the smell. While some aspects of this educational experience still exist, things are changing (Drake, 2013). Educational Research has shown that individuals learn in different ways (Fleming, 1995), and educational programs designed to help the visual, auditory, and kinesthetic learner should be the current goal of course and curricular design. Anatomists are in the perfect position for this paradigm shift. Why? Because we have been using multimodal approaches to learning for many years (lectures and laboratories), and we just need to expand our current offerings to be at the forefront of this pedagogical change. For example:
Developing a document management model for resolving contract disputes for contractor

Disputes in public construction works appear increased during the construction stage, because the works suffer many challenges beyond a contractor's control. If a contractor has limited ability in contract management, it is usually incapable to provide complete documents and the evidence for expenses due to the duties from other contract parties. This makes the contractor suffer from invisible damages, and diminish its project profit. This paper presents a document management model for resolving contract disputes. The model was constructed by analyzing dispute settlement procedures and steps through an actual case. The feasibility of developed model was examined by another case. Research outcomes can assist a contractor to solve increased contract disputes, by which the contractor can manage dispute-related documents proactively.
Attitudes and Training Needs of New England HIV Care and Addiction Treatment Providers: Opportunities for Better Integration of HIV and Alcohol Treatment Services

Objectives:Unhealthy alcohol use is common among HIV-infected patients and contributes to comorbidities, cognitive decline, unprotected sex, and poor medication adherence. Studies consistently show missed opportunities to address unhealthy alcohol use as part of care. Although treatment of other drug use has been integrated into HIV care in some settings, more information is needed regarding provider attitudes regarding the need for integration of alcohol treatment and HIV care. Materials and Methods:We surveyed 119 HIV and 159 addiction providers regarding the following domains: existing knowledge, desire for new knowledge (with subdomains relative advantage, compatibility, and complexity of integrating knowledge), and individual and program development needs. Scale scores for each domain were correlated with demographics to identify factors associated with training need. Results:Both HIV and addiction providers reported agreement with statements of existing knowledge and the need for additional skills. The priority attributed to training, however, was low for both groups. Knowledge and perceived prevalence of HIV and unhealthy alcohol use increased with years of experience. Perceived prevalence correlated with compatibility but not the relative advantage of training. Conclusions:Though addressing alcohol use and HIV was acknowledged to be important, the priority of this was low, particularly early career providers. These providers may be important targets for training focusing on motivating coordination of care and skills related to assessment and counseling.