Miracle-dz/UniFAR-FTUs huggingface dataset:
The Effect of Vegan Protein-Based Diets on Metabolic Parameters, Expressions of Adiponectin and Its Receptors in Wistar Rats

Vegan protein-based diet has attracted increasing interest in the prevention of metabolic syndrome (MetS). Meanwhile, adiponectin has become a highly potential molecular target in the prevention of MetS. Our study will identify a potential vegan protein diet for the prevention of MetS using rat models. Thirty-six Wistar rats were randomly assigned into three groups and given diets containing one of the following proteins for 12 weeks: casein (CAS, control diet), soy protein (SOY), and gluten-soy mixed protein (GSM). Changes in metabolic parameters as well as the expressions of adiponectin and its receptors were identified. Compared to CAS diet, both SOY and GSM diets led to decreases in blood total cholesterol and triglycerides, but only GSM diet led to an increase in HDL-cholesterol; no marked difference was observed in blood glucose in all three groups; HOMA-IR was found lower only in SOY group. Among groups, the order of serum adiponectin level was found as GSM > SOY > CAS. Similar order pattern was also observed in expression of adiponectin in adipose tissue and AdipoR1 mRNA in skeletal muscle. Our results suggested for the first time that, besides SOY diet, GSM diet could also be a possible substitute of animal protein to prevent MetS.
Comparison of spontaneous and induced sputum for investigation of airway inflammation in chronic obstructive pulmonary disease

BACKGROUND Although sputum induction is used as a technique to investigate lower airway inflammation in asthmatic subjects, advantages over spontaneous sputum in patients with chronic obstructive pulmonary disease (COPD) have not been investigated. METHODS Samples of spontaneous sputum and sputum induced with 3% hypertonic saline for 14 minutes were collected from 27 patients with chronic obstructive pulmonary disease (COPD) who usually produced spontaneous sputum. Spirometric indices and oxygen saturation (Sao 2) were measured at seven minute intervals. The spontaneous, seven and 14 minute sputum samples were analysed for total and differential cell counts, cell viability, and interleukin 8 levels. RESULTS Analysis of the sputum revealed that median cell viability was higher in the seven minute (62.8%; p = 0.004) and 14 minute (65%; p = 0.001) induced sputum samples than in spontaneous sputum (41.2%). There was no significant difference in total and differential cell counts or in interleukin 8 levels between spontaneous and induced sputum. During the sputum induction procedure the mean (SD) fall in forced expiratory volume in one second (FEV1) was 0.098 (0.111) l (p < 0.001) and in forced vital capacity (FVC) was 0.247 (0.233) l (p < 0.001). There was a small but significant fall in Sao 2 during sputum induction (p = 0.03). CONCLUSIONS Induced sputum contains a higher proportion of viable cells than spontaneous sputum. There are no significant differences between the sputum samples obtained at seven minutes and at 14 minutes of hypertonic saline nebulisation. Sputum induction is safe and well tolerated in patients with COPD.
Crowdsensing and analyzing micro-event tweets for public transportation insights

Efficient and commuter friendly public transportation system is a critical part of a thriving and sustainable city. As cities experience fast growing resident population, their public transportation systems will have to cope with more demands for improvements. In this paper, we propose a crowdsensing and analysis framework to gather and analyze realtime commuter feedback from Twitter. We perform a series of text mining tasks identifying those feedback comments capturing bus related micro-events; extracting relevant entities; and, predicting event and sentiment labels. We conduct a series of experiments involving more than 14K labeled tweets. The experiments show that incorporating domain knowledge or domain specific labeled data into text analysis methods improves the accuracies of the above tasks. We further apply the tasks on nearly 200M public tweets from Singapore over a six month period to show that interesting insights about bus services and bus events can be derived in a scalable manner.
“ BisoNet ” Generation using Textual Data

According to Koestler, the notion of a bisociation denotes a connection between pieces of information from habitually separated domains or categories. In this paper, we consider a methodology to find such bisociations using a network representation of knowledge, which is called a BisoNet, because it promises to contain bisociations. In a first step, we consider how to create BisoNets from several textual databases taken from different domains using simple text-mining techniques. To achieve this, we introduce a procedure to link nodes of a BisoNet and to endow such links with weights, which is based on a new measure for comparing text frequency vectors. In a second step, we try to rediscover known bisociations, which were originally found by a human domain expert, namely indirect relations between migraine and magnesium as they are hidden in medical research articles published before 1987. We observe that these bisociations are easily rediscovered by simply following the strongest links. Future work includes extending our methods to non-textual data, improving the similarity measure, and applying more sophisticated graph mining methods.
The Discourse Perspective of Translation In Representing The Concept of Thā’at: Case Study of The Moral Ethic Book Bidāyatul Hidāyah

Translation is a rendering of form and meaning, but in the other hand, translation also can be defined as the rendering of message ( amanah ) from the source/start text into target text. This research elaborate the Arabic – Javanese translation text. Arabic is the source language (L1) and Javanese is the target language (L2). The material object selected was the book of Bidāyatul-Hidāyah (Islamic Moral Ethic) written by Imam Al-Ghazali. This research investigate the personal image of Imam Al-Ghazali using the discourse perspective of translation. There are two basics problems in this research, (1) the translation of units language in the book of Bidāyatul Hidāyah in representing the concept of loyalty ( thā’at ) using the discourse perspective of translation, and (2) the concept of loyalty based on Imam Al-Ghazali in the book of Bidāyatul Hidāyah . The method had been divided into three basic steps: collecting the data using the observation method, analysis data related with the distributional method, and reporting the data. The result had been concluded that Imam al Ghazali’method to delivering the concept of loyalty ( thā’at ) message was the balancing between fiqh and sufism . Copyright (c) 2017 by KARSA. All right reserved DOI: 10.19105/karsa.v25i1. 1180
Dynamics in a Coupled FHN Model with Two Different Delays

In this paper, a coupled FHN model with two different delays is investigated. The local stability and the existence of Hopf bifurcation for the system are analyzed. The effect of two different delays on dynamical behavior is discussed. Simulation results are presented to support theoretical analysis. Finally, main conclusions are included.
Distributed Hot Spots Caching Mechanism for Queries with Popular Distribution

Peer-to-peer (P2P) systems have gained considerable attention in the past few years. Since the popularity distribution of queries follows a zipf-like distribution in a P2P network, the performance can get significant improvement if a simple and effective caching mechanism called hot spots caching mechanism (HSCM) is used, which stores the IP address and port number of the successor node of the key. Simulations also show that the HSCM is basically independent of particular P2P algorithms and can be easily combined with other improved methods to further improve the performance of P2P search capabilities.
Oncogenic potential of TAR RNA binding protein TRBP and its regulatory interaction with RNA‐dependent protein kinase PKR

TAR RNA binding protein (TRBP) belongs to an RNA binding protein family that includes the double‐stranded RNA‐activated protein kinase (PKR), Drosophila Staufen and Xenopus xlrbpa. One member of this family, PKR, is a serine/threonine kinase which has anti‐viral and anti‐proliferative effects. In this study we show that TRBP is a cellular down‐regulator of PKR function. Assaying expression from an infectious HIV‐1 molecular clone, we found that PKR inhibited viral protein synthesis and that over‐expression of TRBP effectively countered this inhibition. In intracellular and in cell‐free assays we show that TRBP directly inhibits PKR autophosphorylation through an RNA binding‐independent pathway. Biologically, TRBP serves a growth‐promoting role; cells that over‐express TRBP exhibit transformed phenotypes. Our results demonstrate the oncogenic potential of TRBP and are consistent with the notion that intracellular PKR function contributes physiologically towards regulating cellular proliferation.
Multi-Objective Differential Evolution for Voltage Security Constrained Optimal Power Flow in Deregulated Power Systems

Abstract Voltage stability is an important issue in the planning and operation of deregulated power systems. The voltage stability problems is a most challenging one for the system operators in deregulated power systems because of the intense use of transmission line capabilities and poor regulation in market environment. This article addresses the congestion management problem avoiding offline transmission capacity limits related to voltage stability by considering Voltage Security Constrained Optimal Power Flow (VSCOPF) problem in deregulated environment. This article presents the application of Multi Objective Differential Evolution (MODE) algorithm to solve the VSCOPF problem in new competitive power systems. The maximum of L-index of the load buses is taken as the indicator of voltage stability and is incorporated in the Optimal Power Flow (OPF) problem. The proposed method in hybrid power market which also gives solutions to voltage stability problems by considering the generation rescheduling cost and load shedding cost which relieves the congestion problem in deregulated environment. The buses for load shedding are selected based on the minimum eigen value of Jacobian with respect to the load shed. In the proposed approach, real power settings of generators in base case and contingency cases, generator bus voltage magnitudes, real and reactive power demands of selected load buses using sensitivity analysis are taken as the control variables and are represented as the combination of floating point numbers and integers. DE/randSF/1/bin strategy scheme of differential evolution with self-tuned parameter which employs binomial crossover and difference vector based mutation is used for the VSCOPF problem. A fuzzy based mechanism is employed to get the best compromise solution from the pareto front to aid the decision maker. The proposed VSCOPF planning model is implemented on IEEE 30-bus system, IEEE 57 bus practical system and IEEE 118 bus system. The pareto optimal front obtained from MODE is compared with reference pareto front and the best compromise solution for all the cases are obtained from fuzzy decision making strategy. The performance measures of proposed MODE in two test systems are calculated using suitable performance metrices. The simulation results show that the proposed approach provides considerable improvement in the congestion management by generation rescheduling and load shedding while enhancing the voltage stability in deregulated power system.
Design and evaluation of dynamic software birthmarks based on API calls

This paper presents a technique of dynamic software birthmarks to support efficient detection of software theft. A dynamic birthmark f(p, I) is a set of unique and native characteristics of a program p, obtained by executing p with a given input I . For a pair of software p and q, if f(p, I) = f(q, I) holds, q is suspected as a copy of p. In this paper, we propose two kinds of dynamic birthmarks, EXESEQ and EXEFREQ for the above f . In general, it is difficult for adversaries to alter API calls in the binary code automatically. Based on the fact, we extensively use runtime information of API calls as a strong signature of the program, specifically, the execution order for EXESEQ and the frequency distribution for EXEFREQ. We evaluated the proposed birthmarks through two experiments. The first experiment evaluates the preservation and distinction properties of the birthmarks with a set of the same-purpose applications. In the second experiment, we examined the impact of using different compilers. The results showed that the birthmarks of an extended-version application was very similar to that of its ancestor application, and that the birthmarks are robust enough to tolerate different compilers.
A Gossip-based Opinion Diffusion Model via Uninorm Aggregation Operator

Gossip-based protocols for group communication have attractive scalability and reliability properties. In this paper, we extend our previous work: a gossip-based protocol that enables agents to reach a consensus based on a special uninorm aggregation operator. We theoretically analyze the convergence and the randomness features of the extensions. The extended models can be more flexible in demonstrating the uncertainty and the convergence characteristics of collective decision dynamics.
Identification of a Recently Active Mammalian SINE Derived from Ribosomal RNA

Complex eukaryotic genomes are riddled with repeated sequences whose derivation does not coincide with phylogenetic history and thus is often unknown. Among such sequences, the capacity for transcriptional activity coupled with the adaptive use of reverse transcription can lead to a diverse group of genomic elements across taxa, otherwise known as selfish elements or mobile elements. Short interspersed nuclear elements (SINEs) are nonautonomous mobile elements found in eukaryotic genomes, typically derived from cellular RNAs such as tRNAs, 7SL or 5S rRNA. Here, we identify and characterize a previously unknown SINE derived from the 3′-end of the large ribosomal subunit (LSU or 28S rDNA) and transcribed via RNA polymerase III. This new element, SINE28, is represented in low-copy numbers in the human reference genome assembly, wherein we have identified 27 discrete loci. Phylogenetic analysis indicates these elements have been transpositionally active within primate lineages as recently as 6 MYA while modern humans still carry transcriptionally active copies. Moreover, we have identified SINE28s in all currently available assembled mammalian genome sequences. Phylogenetic comparisons indicate that these elements are frequently rederived from the highly conserved LSU rRNA sequences in a lineage-specific manner. We propose that this element has not been previously recognized as a SINE given its high identity to the canonical LSU, and that SINE28 likely represents one of possibly many unidentified, active transposable elements within mammalian genomes.
Application of Modified Spectral Bisection for Segmenting Malayalam Documents

Topic Segmentation has been an area of interest for Text summarizers. Many of the Malayalam documents confirm to a main topic as well as many subtopics. This paper presents the idea of using the repeated spectral bisection method to find the subtopics in the document. This method is a widely used for partitioning graphs based on the properties of the similarity matrix created.
Solar‐induced versus internal variability in a coupled climate model

A series of experiments is conducted in which a variable solar irradiance is imposed for a range of frequencies and amplitudes in a simplified coupled General Circulation Model. For realistic amplitudes solar forcing dominates over internal variability in global mean surface air temperature (GM‐SAT) beyond decadal timescales. Its impact increases with period up to 50 years. Evidence is found for interactions between climate variations with different timescales. A weak 22‐yr solar irradiance variation excites a significant spectral peak with a 70‐yr period in GM‐SAT. On the regional‐scale the internal variability dominates at all timescales. Patterns of internal variability and their associated variance are robust for a variable solar forcing. The temporal spectra, however, are sensitive to such forcing. Some preferred decadal timescales of the internal modes of the coupled system disappear when the solar forcing varies.
Exploring the linkage effects of place attachment in rural areas using the fuzzy analytic network process

ABSTRACT Though previous research has developed an evaluation measurement for place attachment, it has ignored the interdependence of the criteria and subcriteria associated with that evaluation tool. Because it is challenging for researchers to digest the multi-criteria messages presented in place attachment and to understand the multiple place attachment terms, this study adopts the fuzzy analytic network process (FANP) model to identify the characteristics of place attachment, and categorizes these characteristics into three dimensions, namely personal context, community context, and environment context. Using the FANP model, an empirical survey was conducted that included the collected survey data of 187 respondents from the Meinong region of Taiwan to determine the typical features of place attachment. Our research results demonstrate that, with respect to successful community involvement, familiarity is essential for place attachment. As familiarity establishes social ties with the setting, one’s emotional attachment to the location or environment increases. The ability to define clear priority weights for personal, community, and environment contexts is one of the benefits of using the FANP method to evaluate place attachment. Accordingly, the findings regarding these three contexts raise issues about the role of local government and self-efficacy in place attachment in Taiwanese environments.
Combinatorial Optimization of Sensing for Rule-Based Planar Distributed Assembly

We describe a model for planar distributed assembly, in which agents move randomly and independently on a two-dimensional grid, joining square blocks together to form a desired target structure. The agents have limited capabilities, including local sensing and rule-based reactive control only, and operate without centralized coordination. We define the spatiotemporal constraints necessary for the ordered assembly of a structure and give a procedure for encoding these constraints in a rule set, such that production of the desired structure is guaranteed. Our main contribution is a stochastic optimization algorithm which is able to significantly reduce the number of environmental features that an agent must recognize to build a structure. Experiments show that our optimization algorithm outperforms existing techniques
Emergent Braided Matter of Quantum Geometry

We review and present a few new results of the program of emergent matter as braid excitations of quantum geometry that is represented by braided ribbon networks. These networks are a generalisation of the spin networks proposed by Penrose and those in models of background independent quantum gravity theories, such as Loop Quantum Gravity and Spin Foam models. This program has been developed in two parallel but complimen- tary schemes, namely the trivalent and tetravalent schemes. The former studies the braids on trivalent braided ribbon networks, while the latter investigates the braids on tetravalent braided ribbon networks. Both schemes have been fruitful. The trivalent scheme has been quite successful at establishing a correspondence between braids and Standard Model par- ticles, whereas the tetravalent scheme has naturally substantiated a rich, dynamical theory of interactions and propagation of braids, which is ruled by topological conservation laws. Some recent advances in the program indicate that the two schemes may converge to yield a fundamental theory of matter in quantum spacetime.
Efficient Indicators to Evaluate the Status of Software Development Effort Estimation inside the Organizations

Development effort is an undeniable part of the project management which considerably influences the success of project. Inaccurate and unreliable estimation of effort can easily lead to the failure of project. Due to the special specifications, accurate estimation of effort in the software projects is a vital management activity that must be carefully done to avoid from the unforeseen results. However numerous effort estimation methods have been proposed in this field, the accuracy of estimates is not satisfying and the attempts continue to improve the performance of estimation methods. Prior researches conducted in this area have focused on numerical and quantitative approaches and there are a few research works that investigate the root problems and issues behind the inaccurate effort estimation of software development effort. In this paper, a framework is proposed to evaluate and investigate the situation of an organization in terms of effort estimation. The proposed framework includes various indicators which cover the critical issues in field of software development effort estimation. Since the capabilities and shortages of organizations for effort estimation are not the same, the proposed indicators can lead to have a systematic approach in which the strengths and weaknesses of organizations in field of effort estimation are discovered.
The retrieval system based on concept extending

At present, the retrieval approaches could not match the concept with identical meaning but dissimilar expression. To aim at solving the problem, this paper puts forward a retrieval model based on concept extending. The system model is composed of three levels, which are the query level, the concept extending level, and the retrieval level. In the model, an extending method based on concept is proposed to extend user's query from the concept hierarchy. This paper not only describes its extending algorithm after presenting a concept similarity between words, but also analyzes the merits of the extending method. Moreover, a result ranking method based on concept is proposed, to filter out the results with low scores at the concept level. In addition, the experiment's result shows that the concept extending approach has improved the performance of retrieval system.
Watching the footwork: second screen interaction at a dance and music performance

Interactive mobile technologies have become part of audience experiences of live performances in terms of both general media sharing and specific (sometimes official) extra content. At the same time, high bandwidth affords streaming of live events to mobile devices. We take advantage of these technologies in our high resolution, panoramic image video stream and study a scenario of audience members viewing the very same live event they are watching on a tablet. The video stream on the tablet is navigational and enables audience members to pan and zoom in the real-time video feed. We studied audience interaction and impressions in three performances of a dance and music show and found distinct uses of the second screen video stream. We emphasize that despite initial reluctance, the observed utilization of the technology opened up for new potential practices. Our study shows how working with perceived conflict in technology can still open up design space for interactive technologies.