Miracle-dz/UniFAR-FTUs huggingface dataset:
Evaluation and Reformulation of Ingredients the Indigenous Tumpi Product

The aim of the study was to evaluate and formulate the ingredients of tuna tumpi products, indigenous traditional foods from South and West Sulawesi of Indonesia. This study has analyzed the effect of fish cooking methods and coconut maturity level on the sensory quality of the products produced. The effect of the treatment of grated coconut and the duration of the frying pan on the level of maturity of the tumpi product have also been studied. Reformulation of constituent materials and nutritional value of tuna tumpi products have been carried out. The results showed that the tumpi product made from grilled fish mixed with half-old coconut was the best product and the most preferred by consumers. Cooked tumpi or cooked perfectly product from grated Coconut not squeezed with a frying duration of 60-100 s are the products most preferred by consumers. The best composition of the ingredients for the best tuna tumpi products are 65% fish, 15% grated coconut, 5% tapioca, and 15 seasoning. With serving size 100 g, this product contribute 50%, 18% and 5% Indonesian Recommended Daily Allowance for protein, fats, and carbohydrate, resfectivly, and release 277 cal.
Effects of Nucleotides Supplementation of Infant Formulas on Plasma and Erythrocyte Fatty Acid Composition: A Meta-Analysis

Objective Nucleotides (NTs) have been added to infant formulas for several years due to their health benefits. However, studies have reported inconsistent findings regarding the association between NTs and fatty acid (FA) composition. A meta-analysis was performed to assess the effects of NTs supplementation of infant formula on erythrocyte and plasma FA composition. Methods Randomized controlled trials that evaluated the association between NTs supplementation and FA composition and were published before October 2014 were included. Standardized mean differences (SMDs) with 95% confidence intervals (CIs) were calculated. Heterogeneity was assessed using Q and I 2 tests. Results Eight studies (364 infants) were included in the meta-analysis. NTs supplementation did not affect the concentrations of total saturated FAs (SMD= 0.05; 95% CI= -0.23–0.32; P = 0.75) or total monounsaturated FAs (SMD= -0.01; 95% CI= -0.28–0.27; P = 0.95) in erythrocyte membranes. Erythrocyte total n-3 (SMD= 0.15; 95% CI= -0.11–0.41; P = 0.27) and n-6 PUFA (SMD= -0.16; 95% CI= -0.42–0.10, P = 0.22) concentrations did not increase with NTs supplementation. The concentrations of erythrocyte n-3 PUFA (18:3, 20:5, 22:5, and 22:6) and n-6 PUFA (18:2, 20:3, 20:4, and 22:4) were not affected by NTs supplementation. NTs significantly increased plasma concentrations of 18:2 n-6 (SMD= 0.90; 95% CI= 0.47–1.33; P < 0.0001), 20:3 n-6 (SMD= 0.56; 95% CI= 0.14–0.97; P = 0.009), and 20:4 n-6 PUFA (SMD= 0.92; 95% CI= 0.50–1.35; P < 0.0001), and significantly decreased the concentration of plasma 18:3 n-3 PUFA (SMD= -0.60; 95% CI -1.12 to -0.09; P = 0.02). No effect was obtained on plasma 20:2 n-6 PUFA concentrations (SMD= 0.06; 95 % CI, -1.03 to -0.2; P = 0.93). Conclusions Our meta-analysis revealed that NTs supplementation significantly increased plasma 18:2 n-6, 20:3 n-6, and 20:4 n-6 PUFA concentrations in infants, but did not affect erythrocyte FA composition.
Remembering the past, experiencing the present,and predicting the future: Social-cognitive perspectives on intergroup contact

One of the most robust interventions for reducing prejudice is intergroup contact. Whilst the affective processes involved in prejudice reduction via intergroup contact are becoming well understood, this thesis explores novel social-cognitive factors surrounding intergroup contact. Two strands of research explore how people look back at past contact and look forward to future interactions with unfamiliar group members. Experiments 1 to 4 examine how experiences of fluency in recalling past contact may influence people’s perceptions of their intergroup contact, and in turn influence outgroup attitudes and future contact intentions. Utilising two different paradigms in Chapter 2 and 3, no effect of the manipulation of contact retrieval fluency was found on any of the outcome variables. Potential reasons for this null-effect are discussed, including memory biases, inference processes regarding the contact-attitude relationship, and affective and normative components of prejudice. The second strand of research described in Chapter 4 and 5 moves focus from the past to the future, to examine generalisation of intergroup contact to trust behaviour towards novel group members. This process of member-to-member generalisation was examined within a Trust Game paradigm, where group membership and interaction valence were manipulated. Experiments 5 to 8 demonstrate that people use their experiences with group members to inform decisions to trust unknown individuals in the future. Member-to-member generalisation was enhanced for negative compared to positive experiences, but was particularly attuned to violations of previous group-based beliefs. Together, this thesis highlights the importance of social-cognitive processes involved in intergroup contact generalisation to attitudes and behaviour, and shows the potential of using laboratory-based behavioural measures to examine intergroup contact.
Carotid Intima-Media Thickness as the Cardiometabolic Risk Indicator in Patients with Nonfunctional Adrenal Mass and Metabolic Syndrome Screening

Background Our purpose was to show the association of adrenal incidentaloma and metabolic syndrome in consideration of the studies and to detect the increase in the carotid intima-media thickness which is regarded as the precessor of atherosclerosis. Material/Methods Eighty-one patients who were diagnosed with adrenal mass were included in the study. Hormonal evaluation, insulin rezistance measurement with the HOMA-IR and 1-mg DST were performed of all patients. The patients were classified as follows: mass size <3 cm (K1) and mass size of at least 3 cm (K2). Echocardiography and carotid intima-media thickness of the patients were measured using B-mode ultrasound. Thirty-three healthy individuals were enrolled as the control group. Results Mass size of 64.19% K1, while mass size of the remainder (35.81%) K2 was calculated. Five of the patients with adrenal mass were detected to have subclinical Cushing syndrome. The remaining 76 patients were accepted as nonfunctional. It was seen with regard to metabolic and biochemical parameters that plasma glucose (p=0.01), insulin (p=0.00) and triglyceride (p=0.012) values of all patients were significantly high compared to those of the control group. It was detected that measured heart rate (p=0.00), end-diastolic diameter (p=0.02), end-systolic diameter (p=0.014) and carotid intima-media thickness (p=0.00) values of the patients with adrenal mass were significantly higher than those of the healthy control group. Conclusions We found that the increased insulin resistance, increased risk of cardiovascular disease with the increase in the thickness of carotid intima-media and diastolic disfunction parameters, although the patients with adrenal incidentaloma are nonfunctional.
The prevalence of asthma and asthma-like symptoms among adults in rural Beijing, China

No data have been reported on the prevalence of asthma in rural areas of China. The objective of the present study was to determine the prevalence of asthma-like symptoms, reported asthma and reported asthma attacks in rural Beijing, China, and to compare the prevalence in 20–44-yr-old participants with those reported for Canada and the European Community Respiratory Health Survey (ECRHS). For a cross-sectional survey, 30 villages were randomly selected in the counties of Shunyi and Tongxian, 50 km north and east respectively of the city of Beijing and within the municipality of Beijing. The International Union Against Tuberculosis and Lung Disease questionnaire on bronchial symptoms translated into Chinese was completed by village doctors for each individual of >15 yrs. The survey was completed by 22,561 individuals, representing 98% of the eligible population. The prevalence of asthma-like symptoms and reported asthma attacks was higher in females than in males and increased with age. Smoking significantly increased the prevalence of symptoms; the effect in females was greater than in males. Among the 20–44-yr-olds, the prevalence of reported asthma attacks in the previous 12 months was 0.67% in rural Beijing, very much lower than that reported in ECRHS centres (3.1%), urban Canada (6.9%) and semirural Canada (5.1%), after adjusting for age and sex. The prevalence of asthma-like symptoms was also very low in rural Beijing compared with ECRHS centres and Canada. It is concluded that the prevalence of asthma-like symptoms and reported asthma was low in rural China compared with other countries, consistent with reports of the relative scarcity of asthma in farms and the “hygiene hypothesis”.
Learning Personalized Optimal Control for Repeatedly Operated Systems

We consider the problem of online learning of optimal control for repeatedly operated systems in the presence of parametric uncertainty. During each round of operation, environment selects system parameters according to a fixed but unknown probability distribution. These parameters govern the dynamics of a plant. An agent chooses a control input to the plant and is then revealed the cost of the choice. In this setting, we design an agent that personalizes the control input to this plant taking into account the stochasticity involved. We demonstrate the effectiveness of our approach on a simulated system.
Method for evaluating subjective states of awareness that accompany recognition: adaptation for use in Portuguese-speaking patients with schizophrenia.

OBJECTIVE Memory is composed of several systems and processes, and recognition can be accompanied by two subjective states of consciousness: autonoetic awareness, which characterizes conscious recollection; and noetic (or semantic) awareness, related to feelings of familiarity. The objective of this study was to describe the adaptation to Portuguese of an experiential procedure for investigation of states of awareness that accompany recognition. METHODS Development of the material (word list and instructions permitting manipulation of the level of information processing); translation/adaptation of the original instructions to Portuguese; and application of the procedure in healthy volunteers and patients with schizophrenia. Manipulation of the level of processing consisted in requiring, during the learning phase, that subjects form a phrase or count the number of letters of the words presented. The level of processing, documented in healthy volunteers, should be expressed by greater conscious recollection of words used to form phrases than of words for which letters were counted. In addition, there should be no change in the proportion of recognition based on feelings of familiarity. RESULTS The procedure was first applied in six healthy volunteers, in whom the processing level effect was clearly reproducible. Subsequently, it was used in patients with schizophrenia, who understood and followed the instructions perfectly. There was also a clear processing level effect in the patient group. CONCLUSION The Portuguese version of this method can be used in our milieu, even in patients with schizophrenia, allowing the study of memory alterations accompanying this mental disorder.
Using semantic policies for ad-hoc coalition access control

Coalition access control models are required in order to properly manage access to resources among different collaborating organizations. When these relationships are long term inter-organizational agreements and policies can be established that can satisfy appropriate access to the resources owned by those entities. When these coalitions are spontaneous access rights to resources among the parties in the coalition need to be specified by users and must be context dependant. A good example of this is in ad-hoc collaborative scenarios. Controlling access to private services being shared within the collaborative group is a challenge in these scenarios. This paper presents a semantic Web approach in order to represent context that can be shared and used by a policy engine to form dynamic groups based on the context of the situation, as well as manage access to the private Web services that each group introduces to the ad-hoc collaborative environment. The approach leverages the distributed policy framework (Rein) built on top of a rule-base reasoner (CWM)
Spectral methods for estimating probabilistic language models

NLP researchers have long computed the singular vectors of matrices of words and the documents or contexts they occur in, and used these singular vectors as low dimension representations of the words [1, 2]. When the immediate context of words–the words before and after each target word– are used, the projections of words onto their corresponding singular vectors forms the basis of a spectral method for estimating HMMs [3, 4].
Evolving populations of random boolean networks

We investigatethe adaptationof RandomBooleanNetworks that area model for regulatory genenetworks. The model considersa generalgeneticalgorithm and a fitnessfunction that takes into accountthe full network dynamical behavior.Our simulationsshows a fastdecreaseon algorithmperfomancewhenwe considerlarger networks or networks with morecomplex dynamicalbehavior. Finally, we discussa scenariothat describesthe adaptationon the proposedfitness landscape.
Discrete Orthonormal Sequences

Abstract, Numerical procedures are presented which permit one to generate orthonormal sets of sequences, expand an arbitrary sequence in terms of the set, and reconstruct the arbitrary sequence using only reeursive numerical filtering techniques These sequences approach the uniform samples of an important class of continuous orthonormal functions which include the Laguerre functions, Kautz functions, and others in ~he ge~eral class of orthonormalized exponential functions.
EFL Teachers’ L1 Backgrounds, Beliefs, and the Characteristics of Their Corrective Feedback

Considering the importance of teachers’ performance in class as a variable which affects the efficacy of corrective feedback (CF), it has not necessarily received the attention it deserves in second language acquisition (SLA) research: While there are a number of studies that focus on the efficacy of CF strategies from learners’ standpoint, research that focuses on the provider of CF, i.e., the foreign language (FL) teacher, has not yet been done as extensively. The present study was conducted to examine how native speaker (NS) and non-native speaker (NNS) teachers differ in their provision of CF and to investigate whether the two types of teachers’ provision of CF is congruent with their perceptions and beliefs. The results show that the ability to match their beliefs with their actual CF provision seems to be affected by their L1 background. NS teachers tend not to provide abundant phonological CF due to their insensitivity to some phonological errors in learners’ utterances. NNS teachers tend not to have the ability to provide CF in general due to their lack of language proficiency. Finding ways to overcome teachers’ current weaknesses may be a prerequisite to enhancing the quality of education in Japan.
Design and analysis of an obstacle-crossing wall-climbing robot mechanism

It is a general trend in wall-climbing robot development with good performance of crossing obstacles. The climbing robot which has strong ability to cross obstacles is able to adapt to a wide working range. The novelty of the robot is that it uses a new obstacle method which can effectively across a large bump obstacle, grooves, cross over the wall. In addition, it has a good flexibility, and strong mobility. The paper derives kinematic equations to analyze when the robot climbs across the obstacles raised, grooves, cross-wall mode and other several sports. Finally, the results of simulation and experiment show that the institution can achieve the desired objectives, it has high speed, flexible movement and strong ability to across the cross walls.
A longitudinal examination of customer commitment and loyalty

– This study aims to provide the first longitudinal examination of the relationship between affective, calculative, normative commitment and customer loyalty by using longitudinal panel survey data. , – Repeated measures for 269 customers of a large financial services provider are employed. Two types of segmentation methods are compared: predefined classes and latent class models and predictive power of different models contrasted. , – The results reveal that the impact that different dimensions of commitment have on share development varies across segments. A two-segment latent class model and a managerially relevant predefined two-segment customer model are identified. In addition, the results demonstrate the benefits of using panel survey data in models that are designed to study how loyalty develops over time. , – This study illustrates the benefits of including both baseline level information and changes in the dimensions of commitment in models that try to understand how loyalty unfolds over time. It also demonstrates how managers can be misled by assuming that everyone will react to commitment improvement efforts similarly. This study also shows how different segmentation schemes can be employed and reveals that the most sophisticated ones are not necessarily the best. , – This research provides the first examination of models for change in customer loyalty by employing survey panel data on the three-component model of customer commitment (affective, calculative, and normative) and considers alternative segmentation methods.
Automatic architectural enforcement

Automatic architectural enforcement would be very beneficial especially in product line development using open source practices where there is very limited or no access to the architects and the architecture is of paramount importance. However, current techniques for modelling software architecture do not support the modelling of architectural design rules which means that architectural enforcement is achieved by manual reviews. This paper addresses this problem by proposing how architectural design rules could be expressed in UML in a meta-model for the system model.
Methods for Covering Missing Data in XCS

Missing data pose a potential threat to learning and classification in that they may compromise the ability of a system to develop robust, generalized models of the environment in which they operate. This investigation reports on the effects of three approaches to covering these data using an XCS-style learning classifier system. Using fabricated datasets representing a wide range of missing value densities, it was found that missing data do not appear to adversely affect LCS learning and classification performance. Furthermore, three types of missing value covering were found to exhibit similar efficiency on these data, with respect to learning rate and classification accuracy.
The true role of active communicators: an empirical study of Jazz core developers

Context: Interest in software engineering (SE) methodologies and tools has been complemented in recent years by research efforts oriented towards understanding the human processes involved in software development. This shift has been imperative given reports of inadequately performing teams and the consequent growing emphasis on individuals and team relations in contemporary SE methods. Objective: While software repositories have frequently been studied with a view to explaining such human processes, research has tended to use primarily quantitative analysis approaches. There is concern, however, that such approaches can provide only a partial picture of the software process. Given the way human behavior is nuanced within psychological and social contexts, it has been asserted that a full understanding may only be achieved through deeper contextual enquiries. Method: We have followed such an approach and have applied data mining, SNA, psycholinguistic analysis and directed content analysis (CA) to study the way core developers at IBM Rational Jazz contribute their social and intellectual capital, and have compared the attitudes, interactions and activities of these members to those of their less active counterparts. Results: Among our results, we uncovered that Jazz's core developers worked across multiple roles, and were crucial to their teams' organizational, intra-personal and interpersonal processes. Additionally, although these individuals were highly task- and achievement-focused, they were also largely responsible for maintaining positive team atmosphere. Further, we uncovered that, as a group, Jazz developers spent a large amount of time providing context awareness in support of their colleagues. Conclusion: Our results suggest that high-performing distributed agile teams rely on both individual and collective efforts, as well as organizational environments that promote informal and organic work structures.
Implanting Life-Cycle Privacy Policies in a Context Database

Ambient intelligence (AmI) environments continuously monitor surrounding individuals' context (e.g., location, activity, etc.) to make existing applications smarter, i.e., make decision without requiring user interaction. Such AmI smartness ability is tightly coupled to quantity and quality of the available (past and present) context. However, context is often linked to an individual (e.g., location of a given person) and as such falls under privacy directives. The goal of this paper is to enable the difficult wedding of privacy (automatically fulfilling users' privacy whishes) and smartness in the AmI. interestingly, privacy requirements in the AmI are different from traditional environments, where systems usually manage durable data (e.g., medical or banking information), collected and updated trustfully either by the donor herself, her doctor, or an employee of her bank. Therefore, proper information disclosure to third parties constitutes a major privacy concern in the traditional studies.
Identifying universal facial emotion markers for automatic 3D facial expression recognition

Facial expressions convey human emotions as a simple and effective non-verbal communication method. Motivated by this special characteristic, facial expression recognition rapidly gains attention in social computing fields, especially in Human Computer Interaction (HCI). Identifying the optimal set of facial emotion markers is an important technique that not only reduces the feature vector dimensionality, but also impacts the recognition accuracy. In this paper, we propose a new emotion marker identification algorithm for automatic and person-independent 3D facial expression recognition system. First, we mapped the 3D face images into the 2D plane via conformal geometry to reduce the dimensionality. Then, the identification algorithm is designed to seek the best discriminative markers and the classifier parameters simultaneously by integrating three techniques viz., Differential Evolution (DE), Support Vector Machine (SVM) and Speed Up Robust Feature (SURF). The proposed system yielded an average recognition rate of 79% and outperformed the previous studies using the Bosphorus database.