Miracle-dz/UniFAR-FTUs huggingface dataset:
Beauty and aging: The role of resilience

Background: Beauty of the face agree to geometric figures that have got magnitudes of the gold mask. The resilience is a psychic function to protect against psychological distress. Purpose Aging and beauty over time change the self-image and its acceptance depends on level of resiliency. We studied the resilience in subjects with different beauty and age on the face and looked for its mechanism psychodynamics. Method: Eight groups (each 40♀, 40♀) were selected with two different range degrees of beauty (1-2B beauty, 3-4U ugliness) and skin aging (0-1 Y young aged 20-30 average 24.65 SD 3.08, 2-3M mature aged 45-55 average 49.85 SD 3.39). YB were control groups. Beauty by golden mask, resilience by CD-RISK, skin aging by Glicau classification and ultrasound test, personality by MMPI-2 and one interview were defined. F, t, W and P tests were assessed in subjects-controls analysis by 14 Windows SPSS and p<0.05 alpha level. Result: Factors show higher resilience value in U and M groups than in B and Y, lower values in females than in men considering the individual groups BY, BM, UY, UM. F and t tests show high correlation and significance (0.0006<p<0.09). Discussion: Conclusion: beauty and age. Eight groups (each 40♀, 40♀) were selected with two different range degrees of beauty (1-2 B beauty, 3-4 U ugliness) and skin aging (0-1 Y young aged 20-30 average 24.65 SD 3.08, 2-3 M mature aged 45-55 average 49.85 SD 3.39). YB were control groups. Beauty by golden mask, resilience by CD-RISK, skin aging by Glicau classification and ultrasound test, personality by MMPI-2 and one interview were defined. Factors show higher resilience value in U and M groups than in B and Y, lower values in females than in men. F and t tests show high correlation and significance (0.0006<p<0.09). The lack of beauty and aging produce stressful conditions and requires an adaptive response. The resilience is the dynamic mechanism that subjects, through a personal journey, learn to build; it increases in mature age due to the acquisition of a greater experiential baggage and in ugly subjects by the continuous acceptance of their poor aesthetic. Resilience grows after repeated discomfort in progressively and continuous way, while it is low after an acute perception of physical damage as a wrinkle. A short-term psychotherapy could help subjects to accept aesthetic discomfort.
Improved infrasound array processing with robust estimators

Infrasound array data are commonly used to detect and characterize infrasonic signals from a variety of natural and anthropogenic sources. Here we examine the effectiveness of robust regression estimators (L1-norm regression, M-estimators and least trimmed squares) for infrasound array processing, and compare them against standard array processing algorithms (least-squares estimation, frequency–wavenumber analysis and progressive multi-channel correlation) using a combination of real and synthetic data. Of particular interest is how each algorithm performs when one of the array elements produces data outliers. Synthetic tests on elements containing a clock error, constant values or only pink noise are performed, and we analyse the relative ability of the estimators to recover plane wave parameters. The L1-norm regression, M-estimate, frequency–wavenumber analysis and least trimmed squares estimates provided superior results than conventional least-squares estimation. Evaluation of least trimmed squares weights consistently identified the element with the simulated error, providing additional information on array performance. Least trimmed squares processing consistently identified an element with reversed polarity for Alaska Volcano Observatory array ADKI. International Monitoring System stations IS57 and IS55 were likewise processed. Data from an element of IS57, which had lower cross-correlation values than the remaining elements, were consistently identified as having outliers in array processing. An element with a timing error was identified in the analysis of IS55 data. These results suggest robust regression methods, in particular least trimmed squares, improve upon standard methods and should be used more widely, as they can provide robust array processing results and insight into array performance. Further, robust regression methods are not limited to infrasound array processing applications, and it is likely that they would also be effective for seismic array data.
A Novel Attempt towards Effective Scheduling Based on Reliability in Cloud Environment

Cloud computing is now becoming a trend of modern IT industry. The huge advantages of cloud computing are progressively attracting individuals and several organizations to outsource their data from local to remote cloud servers. Therefore, the widespread cloud users assuredly expect reliable services and also desire an enhanced performance gain due to their adaptation of cloud. In order to accomplish as many user requests as possible, it is very much necessary to utilize cloud resources effectively and wisely. From the review of the new technologies, some crucial challenges for their development in future have been pointed out, among which the reliability of cloud resources has been emerged as a great concern to provide failure free services to the users. Any hardware and software component of cloud can fail at any point of time. Sufficient remedies can be taken to reduce the number of failures. Everyone wants a reliable service, but a dynamic system with high complexity like cloud; it is very difficult to manage the reliability. This paper introduces an effective reliable scheduling algorithm using an allocation matrix where virtual machines (VMs) are dynamically allocated to the user requests based on their reliability and requests' priority. Here, a dependent and serialized approach has been used for calculating the reliability of the cloud components. With this approach the overall reliability of cloud environment will be increased. Furthermore, the work has been simulated in CloudSim simulation environment. The simulation test of the proposed algorithm and an analysis of the non-reliable and reliable scheduling approach have been carried out.
Local multipath model parameters for generating 5G millimeter-wave 3GPP-like channel impulse response

This paper presents 28 GHz and 73 GHz empirically-derived large-scale and small-scale channel model parameters that characterize average temporal and angular properties of multipaths. Omnidirectional azimuth scans at both the transmitter and receiver used high gain directional antennas, from which global 3GPP modeling parameters for the mean global azimuth and zenith spreads of arrival were found to be 22° and 6.2° at 28 GHz, and 37.1° and 3.8° at 73 GHz, respectively, in non-line of sight (NLOS). Small-scale spatial measurements at 28 GHz reveal a mean cross-polar ratio for individual multipath components of 29.7 dB and 16.7 dB in line of sight and NLOS, respectively. Small-scale parameters extracted using the KPowerMeans algorithm yielded on average 5.3 and 4.6 clusters at 28 GHz and 73 GHz, respectively, in NLOS. The time cluster - spatial lobe (TCSL) modeling approach uses an alternative physically-based binning procedure and recreates 3GPP model parameters to generate channel impulse responses, as well as new parameters like the RMS lobe angular spreads useful in quantifying millimeter-wave directionality. The TCSL algorithm faithfully reproduces first- and second-order statistics of measured millimeter-wave channels.
Uniform FIR filterbank optimization with group delay specifications

We characterize the delay properties of uniformly modulated finite impulse response (FIR) filterbanks. Conditions on the permissable delay are developed for this class of filterbanks when the perfect reconstruction condition is relaxed. Accurate linear approximations for the phase and the group delay of the total filterbank are derived. These approximations allow linear phase or group delay constraints to be introduced in the filter optimization problem. A tractable quadratic optimization problem for the design of optimal analysis and synthesis filter prototypes is proposed. The problem involves the minimization of the aliasing distortion while constraining group delay and amplitude distortion. Thus, a new algorithm is presented to solve this optimization problem for the analysis and synthesis filterbanks simultaneously. Numerical examples are presented that confirm the theoretical results and verify that the approximations used are highly accurate.
Planning & acting: Optimal Markov decision scheduling of aggregated data in WSNs by genetic algorithm

Data aggregation techniques have emerged as promising solutions for extending Wireless Sensor Networks (WSNs) lifetime. However, this approach suffers from a design issue in delivering the strict requirements needed by some monitoring applications. Carefully balancing Energy, Delay and Accuracy is essential for achieving these requirements. In this work, we focus on distributed data aggregation, where a sensor estimates the network information by the exchange of readings with different priority levels. We then propose an optimal decision policy for scheduling the transmission of the aggregated data at the node level. To model the investigated problem, we first adopt Markov Decision Process (MDP) whereby we define the reward function. Then, we apply a Genetic Algorithm (GA) to find a set of optimal decisions that ensures the best trade-off between energy saving, delay and accuracy of the received data based on their priority level. The simulation results yield excellent performance and our optimization shows a significant enhancement up to 20% compared to the other policies.
Ruled Special Lagrangian 3‐Folds In C3

This is the fifth in a series of papers constructing explicit examples of special Lagrangian submanifolds in Cm. A submanifold of Cm is ruled if it is fibred by a family of real straight lines in Cm. This paper studies ruled special Lagrangian 3‐folds in C3, giving both general theory and families of examples. Our results are related to previous work of Harvey and Lawson, Borisenko, and Bryant. Special Lagrangian cones in C3 are automatically ruled, and each ruled special Lagrangian 3‐fold is asymptotic to a unique special Lagrangian cone. We study the family of ruled special Lagrangian 3‐folds N asymptotic to a fixed special Lagrangian cone N0. We find that this depends on solving a linear equation, so that the family of such N has the structure of a vector space. We also show that the intersection σ of N0 with the unit sphere S5 in C3 is a Riemann surface, and construct a ruled special Lagrangian 3‐fold N asymptotic to N0 for each holomorphic vector field w on σ. As corollaries of this we write down two large families of explicit special Lagrangian 3‐folds in C3 depending on a holomorphic function on C, which include many new examples of singularities of special Lagrangian 3‐folds. We also show that each special Lagrangian T2‐cone N0 can be extended to a 2‐parameter family of ruled special Lagrangian 3‐folds asymptotic to N0, and diffeomorphic to T2×R.
The Implication Problem for Functional Dependencies in Complete XML Documents

With the growing use of XML as a format for the permanent storage of data, the study of functional dependencies in XML (XFDs) is central to understanding how to effectively design XML databases. We investigate the implication problem for ’closest node’ XFDs in complete XML documents. Our first contribution is to provide an axiom system for XFD implication that we prove to be sound and complete, and we then present a quadratic time closure algorithm for XFD implication. Our second contribution is to investigate the implication problem for XFDs in the presence of a Document Type Definition (DTD). We show that for a class of DTDs called ’simple’ DTDs, the implication problem for a set of XFDs and a ’simple’ DTD can be converted to the implication problem for a set of XFDs alone, and so is axiomatizable and efficiently solvable by the first contribution. We do this by augmenting the original set of XFDs with additional XFDs generated from the structure of the DTD.
Control unit for power subsystem of a wireless sensor node

This paper addresses analysis of the principle of a bi-directional electric energy charge pump and describes circuit solution for control unit of a wireless sensor node power subsystem. This power and control unit, as the power subsystem of the wireless node, comprises two supercapacitors. Bi-directional energy flow between these two supercapacitors takes place in order to optimally satisfy the sensor node energy requirements. At the same time, the bi-directional energy flow enables optimal energy harvesting from the selected energy scavenging (harvesting) subsystem. The mentioned Power Unit Control System has been successfully verified in the process of energy harvesting from a solar module.
Developing a mathematics curriculum to improve learning behaviors and mathematics competency of children

Abstract The authors investigated the effect of a mathematical curriculum (CU) developed based on verbal and practical activities on the mathematical competency (MC) and learning behaviors (LB) of preschool children. In a quasi-experimental design, 60 children (5- to 6-year-old girls) were selected using the accessible sampling method. The children were randomly divided into an experimental group and a control group, and the relevant concepts were taught to the children in both groups. While the control group received the typical kindergarten education based on the usual textbooks and worksheets, the CU was taught to the experimental group. Structural equation modeling was used to model the data and statistical evaluation. The results demonstrated a significant difference between the two groups in MC and LB. The CU significantly improved MC directly, and indirectly through the improvement of LB (i.e., engagement and learning focus, verbal behaviors, and type of activity).
IMPROVING FOURTH GRADER STUDENTS’ SPEAKING ABILITY THROUGH MEANING-USE-FORM FRAMEWORK AT SDIT BUSTANUL ‘ULUM

ABSTRACT The aims of this study were 1) to find out the difference of students’ speaking ability after they are taught through MUF Framework, 2) to investigate the students’ engagement in the teaching learning activity of MUF Framework. The design was quantitative-qualitative research. The subjects of this research were 36 students of the fourth grade of SDIT Bustanul ‘Ulum Terbanggi Besar. Speaking tests were administered and observation sheets were filled to collect the data. The results show that MUF Framework significantly improves students’ speaking ability and the students were active during the teaching learning activity through MUF Framework. This indicates that MUF Framework facilitates students to improve their speaking ability. The result showed that the average score of the students' post-test is higher than the pre-test. The maximum score that students get after following the Framework is higher than before following the Framework, although the minimum score obtained by the students before and after following the Framework is scored nearly the same. This proven that the average of achievement of students’ speaking skill for each aspect after following the Framework is higher than before. In addition, the average of speaking skill aspects will be described as follows. Thus, the answer of the first research question is answered, and the component of speaking which improves significantly is grammar, pronunciation, followed by vocabulary, while the least improve component is fluency. Also from the total sample of 36 students, it is found that there are 32 students actively engaged in the classroom, 2 students passively engaged in the classroom, and 2 students with challenging behavior in the classroom. From the statistical analysis, it can be seen that students actively engaged in the classroom dominate the sample.
Prediction of Human Disease-Related Gene Clusters by Clustering Analysis

Since genes associated with similar diseases/disorders show an increased tendency for their protein products to interact with each other through protein-protein interactions (PPI), clustering analysis obviously as an efficient technique can be easily used to predict human disease-related gene clusters/subnetworks. Firstly, we used clustering algorithms, Markov cluster algorithm (MCL), Molecular complex detection (MCODE) and Clique percolation method (CPM) to decompose human PPI network into dense clusters as the candidates of disease-related clusters, and then a log likelihood model that integrates multiple biological evidences was proposed to score these dense clusters. Finally, we identified disease-related clusters using these dense clusters if they had higher scores. The efficiency was evaluated by a leave-one-out cross validation procedure. Our method achieved a success rate with 98.59% and recovered the hidden disease-related clusters in 34.04% cases when removed one known disease gene and all its gene-disease associations. We found that the clusters decomposed by CPM outperformed MCL and MCODE as the candidates of disease-related clusters with well-supported biological significance in biological process, molecular function and cellular component of Gene Ontology (GO) and expression of human tissues. We also found that most of the disease-related clusters consisted of tissue-specific genes that were highly expressed only in one or several tissues, and a few of those were composed of housekeeping genes (maintenance genes) that were ubiquitously expressed in most of all the tissues.
Magnetic alignment process: a new mechanism for extracting energy from rotating black holes

The magnetic alignment process is proposed as a complementary or companion process to the Blandford–Znajek mechanism for the rotational energy extraction from a Kerr black hole, to serve as a viable model for the central engine of quasars, AGN, and even GRB. In contrast to the environment assumed in the Blandford–Znajek mechanism, in which the rotating hole's spin axis and the asymptotic direction of the magnetic field are aligned, this new process operates when they are generally misaligned, which obviously is the more natural situation likely to happen. The time scales over which these two processes take place and the total radiated powers released at the horizon by them have been estimated and found to be nearly comparable. This may imply that in a random, non-axisymmetric configuration, the magnetic alignment process would operate first, during which some of the hole's rotational energy is released, and then upon completion of the alignment, the Blandford–Znajek mechanism may follow and the rest of the hole's rotational energy, if any left, would be further released.
Boosting Pixel-based Classifiers for Face Verification

The performance of face authentication systems has steadily improved over the last few years. State-of-the-art methods use the projection of the gray-scale face image into a Linear Discriminant subspace as input of a classifier such as Support Vector Machines or Multi-layer Perceptrons. Unfortunately, these classifiers involve thousands of parameters that are difficult to store on a smart-card for instance. Recently, boosting algorithms has emerged to boost the performance of simple (weak) classifiers by combining them iteratively. The famous AdaBoost algorithm have been proposed for object detection and applied successfully to face detection. In this paper, we investigate the use of AdaBoost for face authentication to boost weak classifiers based simply on pixel values. The proposed approach is tested on a benchmark database, namely XM2VTS. Results show that boosting only hundreds of classifiers achieved near state-of-the-art results. Furthermore, the proposed approach outperforms similar work on face authentication using boosting algorithms on the same database.
The impact of the phosphomimetic eIF2αS/D on global translation, reinitiation and the integrated stress response is attenuated in N2a cells

A plethora of stresses trigger a rapid downregulation of protein synthesis. However, a fraction of mRNAs continue to be recruited onto polysomes and their protein products play a key role in deciding cell fate. These transcripts are characterized by the presence of uORFs within their 5′ TL coupling protein expression to reinitiation. The translational brake arises due to the activation of a family of kinases targeting the α subunit of the trimolecular eIF2(αβγ) initiation factor. Phosphorylation of eIF2αSer51 inhibits ternary complex regeneration reducing the pool of 43S ribosomes. It is popular to mimic this event, and hence the integrated stress response (ISR), by the expression of the phosphomimetic eIF2αS51D. However, we report that whereas the ISR is reproduced by eIF2αS51D expression in human HEK293T cells this is not the case in N2a mouse neuroblastoma cells. With regards to translational downregulation, this arises due to the failure of the phosphomimetic protein to assemble an eIF2 complex with endogenous eIF2β/γ. This can be compensated for by the transient co-expression of all three subunits. Curiously, these conditions do not modulate reinitiation and consequently fail to trigger the ISR. This is the first demonstration that the inhibitory and reinitiation functions of eIF2αS/D can be separated.
Virtue Ethics: Reflection on and Construction of Moral Education in Colleges

In more recent years, the main moral education mode of colleges takes on ‘reason-norm’ paradigm, which ensures the ordering development of social morality and the positive impact on moral education of mass students. However, the absolute obligation, generalized rules and ignoring moral agents emerging from that paradigm results on distorting understanding of the values of moral education, moral subjectivity and the moral education functions on moral community. Thus, the timing intervention of virtue ethics can not only connect moral norms and moral agents, but also make up the deficiencies of the paradigm that mentioned above. Specifying goals of moral education based on virtues, launching moral practice adhering to humanism and constructing the feasible paths for moral community cultures will improve moral education system of colleges and seek out new measures for moral practice as well. Keywords—virtue ethics; moral education; colleges; normative
Acute physiological and perceptual responses to Brazilian jiu-jitsu sparring: the role of maximal oxygen uptake

ABSTRACT Sparring is a training form in combat sports designed to simulate fighting. This study sought to assess physiological and perceptual responses to Brazilian jiu-jitsu (BJJ) sparring and their relationship with maximal oxygen uptake (V̇O2max). Twelve male BJJ athletes (age: 30.6 ± 2.7 (SD) years; height: 182.5 ± 5.9 cm; body mass (mb): 81.2 ± 6.7 kg; body fat: 9.9 ± 3.2%) with 4.6 ± 2.2 years of BJJ experience and a training volume of 10.3 ± 4.4 h· week−1 participated in the study. Following a V̇O2max measurement, heart rate (HR), blood lactate concentration ([La‾]b), and rating of perceived exertion were obtained during sparring in a regular training session. Each participant sparred five consecutive 6-min rounds separated by 90-s breaks. Mean sparring HR was 164 ± 9 beats· min−1, equivalent to 85% ± 4% of the maximal HR (HRmax). The sparring was perceived as “hard”. Mass-independent V̇O2max correlated negatively with HR, relative HR (%HRmax), and [La‾]b (p <0.05). The inverse relationship between V̇O2max and physiological markers of exertion suggest that V̇O2max affects exercise tolerance in BJJ and could also point to a limited efficacy of sparring for developing aerobic endurance due to insufficient exercise intensity in trained athletes.