Miracle-dz/UniFAR-FTUs huggingface dataset:
AIRBP: Accurate identification of RNA-binding proteins using machine learning techniques

Motivation Identification of RNA-binding proteins (RBPs) that bind to ribonucleic acid molecules, is an important problem in Computational Biology and Bioinformatics. It becomes indispensable to identify RBPs as they play crucial roles in post-transcriptional control of RNAs and RNA metabolism as well as have diverse roles in various biological processes such as splicing, mRNA stabilization, mRNA localization, and translation, RNA synthesis, folding-unfolding, modification, processing, and degradation. The existing experimental techniques for identifying RBPs are time-consuming and expensive. Therefore, identifying RBPs directly from the sequence using computational methods can be useful to efficiently annotate RBPs and assist the experimental design. In this work, we present a method, called AIRBP, which is designed using an advanced machine learning technique, called stacking, to effectively predict RBPs by utilizing features extracted from evolutionary information, physiochemical properties, and disordered properties. Moreover, our method, AIRBP is trained on the useful feature-subset identified by the evolutionary algorithm (EA). Results The results show that AIRBP attains Accuracy (ACC), F1-score, and MCC of 95.38%, 0.917, and 0.885, respectively, based on the benchmark dataset, using 10-fold cross-validation (CV). Further evaluation of AIRBP on independent test set reveals that it achieves ACC, F1-score, and MCC of 93.04%, 0.943, and 0.855, for Human test set; 91.60%, 0.942 and 0.789 for S. cerevisiae test set; and 91.67%, 0.953 and 0.594 for A. thaliana test set, respectively. These results indicate that AIRBP outperforms the current state-of-the-art method. Therefore, the proposed top-performing AIRBP can be useful for accurate identification and annotation of RBPs directly from the sequence and help gain valuable insight to treat critical diseases. Availability Code-data is available here: http://cs.uno. edu/~tamjid/Software/AIRBP/code_data. zip
A Trust-Based Agent Learning Model for Service Composition in Mobile Cloud Computing Environments

Mobile cloud computing has the features of resource constraints, openness, and uncertainty which leads to the high uncertainty on its quality of service (QoS) provision and serious security risks. Therefore, when faced with complex service requirements, an efficient and reliable service composition approach is extremely important. In addition, preference learning is also a key factor to improve user experiences. In order to address them, this paper introduces a three-layered trust-enabled service composition model for the mobile cloud computing systems. Based on the fuzzy comprehensive evaluation method, we design a novel and integrated trust management model. Service brokers are equipped with a learning module enabling them to better analyze customers’ service preferences, especially in cases when the details of a service request are not totally disclosed. Because traditional methods cannot totally reflect the autonomous collaboration between the mobile cloud entities, a prototype system based on the multi-agent platform JADE is implemented to evaluate the efficiency of the proposed strategies. The experimental results show that our approach improves the transaction success rate and user satisfaction.
Simulation of high-efficiency interleaved step-up DC-DC converter with coupled inductors to use in renewable energy system

The majority of renewable energy sources deliver relatively low output voltage. In renewable energy systems high-efficiency high voltage gain step-up DC-DC converters are required as the interface between low voltage sources and the load. Therefore overall performance of the renewable energy system is strongly affected by the efficiency of stepup DC-DC converter itself. This paper presents high-efficiency interleaved step-up DC-DC converter with coupled inductors. Interleaved approach minimizes the current stress of the switches as well as the a sizes of the inductors but also allows reducing input current ripples. The other advantage of interleaving structure is the flexibility of number of phases extension. The number of working phases can be determined depending on the power requirements of the load. High efficiency is achieved by recycling the energy from leakage inductance present in practical coupled inductors. In order to re-use leakage energy voltage clamp circuit is applied. It allows to minimize voltage stress across the switches further improving the efficiency of interleaved DC-DC converter. The simulation carried out will present parametric and performance characteristics of the converter. Most efficient configuration and the number of phases will be discussed in this paper.
Removal of Cd from Actual Soils Polluted with Cd and Zn and Cd-added Soils by Brassica juncea and Zea mays

We have alternated the 3-week cultivation of corn (Zea mays L.) and that of Indian mustard (L~rassica juncea (L.) Czern) in a pot with the sequential rotation, corn-Indian mustard-com-Indian mustard, in order to remove Cd from two actual soils polluted wlth Cd and Zn, one (low Cd polluted (LP)) containing 6.5mg Cd kg~* and 715mg Zn kg~* and another (high Cd polluted (HP)) wlth 13.6 mg Cd kg~1 and 836 mg Zn kg~*. Fertilizer applications to soil in a rotational cropping can inhibit the decrease in the phyioextraction efficiency. As the total of the all cultivations, the Cd removal from the soils was 2.10/0 of the total soil Cd amount in the LP plot and 1.00/0 in the HP plot, whereas the Zn removal was lower than the Cd cases, 0.570/0 in the LP plot and 0.170/0 in the HP plot, respectively. The Cd absorptions by both plants were significantly greater in the metal-added soils than in the actual polluted soils in all cultivations (p<0.05). This would be caused by the high concentrations of exchangeable Cd in the added soils. These results indicated that the use of metal- added soils is likely to overestimate the efficiency of some plants in phytoextraction experiments involving actual polluted soils with its variation by the experimental conditions.
Body, Space, and Emotion: A Perceptual Study

The present study aims at providing a systematic account of emotion perception applied to expressive full-body movement. Within the framework of the lens model, we identified the decoding process underlying one's capacity to categorize emotions while watching others' behaviors. We considered the application of Laban movement analysis, a method focusing on qualitative aspects of movement. An original experimental setup used a contemporary choreography interpreted by four expert dancers in an environment that restricted their movement to their peripersonal space. Each performance consisted of a subtle or intense emotional interpretation of the choreography (e.g., happiness, anger, surprise, fear, and sadness). Results showed that emotions being expressed in this confined environment could still be identified, categorized, and associated with a profile of movement qualities and specific body parts. © 2017 Donald Glowinski, Selim Yahia Coll, Naem Baron, Maeva Sanchez, Simon Schaerlaeken, & Didier Grandjean, and the Open Science Centre, University of Jyvaskyla.
Infant and young child nutrition

1. Worldwide, more than one-third of under-five children are malnourished – whether stunted, wasted, or deficient in iodine, vitamin A or iron. These often irreversible and life-threatening forms of malnutrition are so thoroughly rooted in poverty and underdevelopment that sustainable development is compromised in populations where hunger and malnutrition prevail. This report focuses on improving the nutritional status of infants and young children, particularly through appropriate feeding.
3 D Visual Sensing of the Human Hand for the Remote Operation of a Robotic Hand Regular Paper

New low cost sensors and open free libraries for 3D image processing are making important advances in robot vision applications possible, such as threedimensional object recognition, semantic mapping, navigation and localization of robots, human detection and/or gesture recognition for human-machine interaction. In this paper, a novel method for recognizing and tracking the fingers of a human hand is presented. This method is based on point clouds from range images captured by a RGBD sensor. It works in real time and it does not require visual marks, camera calibration or previous knowledge of the environment. Moreover, it works successfully even when multiple objects appear in the scene or when the ambient light is changed. Furthermore, this method was designed to develop a human interface to control domestic or industrial devices, remotely. In this paper, the method was tested by operating a robotic hand. Firstly, the human hand was recognized and the fingers were detected. Secondly, the movement of the fingers was analysed and mapped to be imitated by a robotic hand.
Random field disorder and charge order driven quantum oscillations in cuprates

IIn the pseudogap regime of the cuprates, charge order breaks a $\mathbb{Z}_{2}$ symmetry. Therefore, the interaction of charge order and quenched disorder due to potential scattering, can, in principle, be treated as a random field Ising model. A numerical analysis of the ground state of such a random field Ising model reveals local, glassy dynamics in both $2D$ and $3D$. The glassy dynamics are treated as a heat bath which couple to the itinerant electrons, leading to an unusual electronic non-Fermi liquid. If the dynamics are strong enough, the electron spectral function has no quasiparticle peak and the effective mass diverges at the Fermi surface, precluding quantum oscillations. In contrast to charge density, $d$-density wave order (reflecting staggered circulating currents) does not directly couple to potential disorder, allowing it to support quantum oscillations. At fourth order in Landau theory, there is a term consisting of the square of the $d$-density wave order parameter, and the square of the charge order. This coupling could induce parasitic charge order, which may be weak enough for the Fermi liquid behavior to remain uncorrupted. Here, we argue that this distinction must be made clear, as one interprets quantum oscillations in cuprates.
Major Qualifying Projects ( All Years ) Major Qualifying Projects April 2015 Metapopulation Dynamics of the Northern Spotted Owl

Metapopulations are becoming more prevalent across all species. The complex relationships between these species and their environments can be mapped using the basic metapopulation equation created by Levins. In order to capture a more realistic description for the northern spotted owl specifically, this equation was further developed into a system of three ordinary differential equations. This system of equations more accurately described the variations in the northern spotted owls patch occupancy. This was accomplished by introducing parameters which were shown to have largely unexplored relationships with the rates of extinction and colonization. After finding some strong correlations between parameters and their effects on the owls patch occupancy, it is clear that the northern spotted owl needs more data to be collected in order to develop an accurate and working model.
Theory of Propagation of Elastic Waves in a Fluid-Saturated Porous Solid . I . Low-Frequency Range

A theory is developed for the propagation f stress waves in a porous elastic solid containing a compressible viscous fluid. The emphasis ofthe present treatment is on materials where fluid and solid are of comparable densities as for instance in the case of water-saturated rock. The paper denoted here as Part I is restricted to the lower frequency range where the assumption ofPoiseuille flow is valid. The extension to the higher frequencies will be treated in Part II. It is found that the material may be described by four nondimensional parameters and a characteristic frequency. There are two dilatational waves and one rotational wave. The physical interpretation of the result is clarified by treating first the case where the fluid is frictionless. The case of a material containing a viscous fluid is then developed and discussed numerically. Phase velocity dispersion curves and attenuation coefficients for the three types of waves are plotted as a function of the frequency for various combinations of the characteristic parameters.
A Brief Review of Specialty Optical Fibers for Brillouin-Scattering-Based Distributed Sensors

Specialty optical fibers employed in Brillouin-based distributed sensors are briefly reviewed. The optical and acoustic waveguide properties of silicate glass optical fiber first are examined with the goal of constructing a designer Brillouin gain spectrum. Next, materials and their effects on the relevant Brillouin scattering properties are discussed. Finally, optical fiber configurations are reviewed, with attention paid to fibers for discriminative or other enhanced sensing configurations. The goal of this brief review is to reinforce the importance of fiber design to distributed sensor systems, generally, and to inspire new thinking in the use of fibers for this sensing application.
A Very Compact Crystal Shashlik Electromagnetic Calorimeter for Future HEP Experiments

A very compact crystal based shashlik calorimeter is proposed for future HEP experiments in an extreme harsh radiation environment, such as the proposed HL-LHC. Thin crystal plates are used as the sensitive medium to reduce the light path length and thus the radiation damage effects and the calorimeter cost. A design of such a calorimeter uses tungsten as absorber, LYSO crystals as active medium, and liquid scintillator filled quartz capillaries as WLS to transport scintillating light to photodetectors. Initial calorimeter design and performance of prototype modules are presented. Possible optimizations are discussed.
A review on factors influencing the adoption of Malaria preventive practices among pregnant women in sub-Saharan Africa

Article history: Received 13October 2016 Received in revised form 23 November 2016 Accepted 30 November 2016 Available online 23 December 2016 Malaria is highly endemic in sub-Saharan Africa and is associated with serious consequences in pregnant women. The World Health Organisation as a result, prescribes for pregnant women in the region, the use of Insecticide Treated Nets (ITN) and Intermittent Preventive Treatment (IPT) with Sulphadoxine-Pyrimethamine (SP). However, adoption of these practices has been generally low among pregnant women in the region. This paper aimed to explore factors influencing such practices among pregnant women in the region. Socio-demographic factors like age; level of education; employment; family type and obstetric factors, like parity and gestational age, were important factors significantly associated with the adoption of these protective practices. Many socio-cultural and logistics factors were also reported to have great influences on the women’s level of adherence. These included negative beliefs like: belief that the pills were toxic or that the chemicals with which the nets were treated are toxic and belief that these measures were not effective in preventing malaria infection. Also, logistic factors like availability of SP, drinking water and cups at the health centres; giving IPT under direct observation; and even the attitude of the health workers towards their clients were identified as important predictors of good compliance. Level of personal motivation also seemed to be an important factor as many stated reasons such as discomfort and heat as their reasons for not sleeping under nets. Social motivation especially the husband’s support was an important predictor of compliance with IPT. Results of this study point out to the need for massive public awareness on the dangers of malaria in pregnancy and the safety and important protective roles of ITNs and IPT.
Development of Engineered Self-Healing and Self-Repairing Concrete-State-of-the-Art Report

Challenging studies of engineered self-healing and self-repairing functions in concrete structures are briefly reviewed. While self-healing of concrete has been studied for a long time, it was only recently noticed that some engineered technologies are useful to stimulate the potential of concrete to be self-healed. For example, fiber reinforced cementitious composites (FRCC) have a much higher potential of self-healing than ordinary concrete because of their capability to keep cracks thinner and also because of the bridging network system in cracks; a specific bio-chemical approach, i.e. the application of mineral-precipitating bacteria, is now available; and various mineral admixtures are useful for practical application. Furthermore, the new concept of self-repairing concrete, which is based on the design concept of intelligent materials, is reported. Self-repairing concrete is concrete that incorporates devices for achieving the three key functions of an intelligent material, (1) sensing, (2) processing, and (3) actuating. This paper is a state-of-the-art report on the recent development of engineered self-healing and self-repairing concrete.
FITspec: A New Algorithm for the Automated Fit of Synthetic Stellar Spectra for OB Stars

In this paper we describe the FITspec code, a data mining tool for the automatic fitting of synthetic stellar spectra. The program uses a database of 27,000 cmfgen models of stellar atmospheres arranged in a six-dimensional (6D) space, where each dimension corresponds to one model parameter. From these models a library of 2,835,000 synthetic spectra were generated covering the ultraviolet, optical, and infrared regions of the electromagnetic spectrum. Using FITspec we adjust the effective temperature and the surface gravity. From the 6D array we also get the luminosity, the metallicity, and three parameters for the stellar wind: the terminal velocity ( ), the β exponent of the velocity law, and the clumping filling factor (Fcl). Finally, the projected rotational velocity ( ) can be obtained from the library of stellar spectra. Validation of the algorithm was performed by analyzing the spectra of a sample of eight O-type stars taken from the iacob spectroscopic survey of Northern Galactic OB stars. The spectral lines used for the adjustment of the analyzed stars are reproduced with good accuracy. In particular, the effective temperatures calculated with the FITspec are in good agreement with those derived from spectral type and other calibrations for the same stars. The stellar luminosities and projected rotational velocities are also in good agreement with previous quantitative spectroscopic analyses in the literature. An important advantage of FITspec over traditional codes is that the time required for spectral analyses is reduced from months to a few hours.
Weak antilocalization in quasi-two-dimensional electronic states of epitaxial LuSb thin films

Author(s): Chatterjee, S; Khalid, S; Inbar, HS; Goswami, A; De Lima, FC; Sharan, A; Sabino, FP; Brown-Heft, TL; Chang, YH; Fedorov, AV; Read, D; Janotti, A; Palmstrom, CJ | Abstract: © 2019 American Physical Society. Observation of large nonsaturating magnetoresistance in rare-earth monopnictides has raised enormous interest in understanding the role of its electronic structure. Here, by a combination of molecular-beam epitaxy, low-temperature transport, angle-resolved photoemission spectroscopy, and hybrid density functional theory we have unveiled the band structure of LuSb, where electron-hole compensation is identified as a mechanism responsible for large magnetoresistance in this topologically trivial compound. In contrast to bulk single crystal analogues, quasi-two-dimensional behavior is observed in our thin films for both electron and holelike carriers, indicative of dimensional confinement of the electronic states. Introduction of defects through growth parameter tuning results in the appearance of quantum interference effects at low temperatures, which has allowed us to identify the dominant inelastic scattering processes and elucidate the role of spin-orbit coupling. Our findings open up possibilities of band structure engineering and control of transport properties in rare-earth monopnictides via epitaxial synthesis.
Manipulating gaze direction and emotion expression to differentiate between beauty and attractiveness

Attractiveness and beauty have been mainly treated as synonyms in the literature. However, the two aesthetic judgments might reflect different motivations. Attractiveness may relate to a mating drive whereas beauty may relate to a general aesthetic appraisal of the face. The former may be more personal whereas the latter may be more general. In the animal and clinical literature, dissociation between wanting (motivation to engage obtain a reward) and liking (pleasure from reward consumption) has been identified. It is possible that attractiveness may reflect the wanting aspect whereas beauty may reflect the liking aspect of an evaluation of a face. Here, we made the first attempt to dissociate beauty and attractiveness in a healthy population. In particular, gaze direction, head position and smiling have been shown to influence attractiveness. Here, we hypothesised that these social cues would be less influential on beauty judgments compared to attractiveness judgments. We varied gaze direction, head position, and facial expression on computer-modelled male faces and asked 92 young (M = 20.92) heterosexual females to separately rate attractiveness and beauty of these faces.
Loneliness or Materialism, Which Is a Better Predictor of Internet Addiction?

In recent years, the widespread prevalence of loneliness, materialism, and Internet addiction have been widely studied. Studies have addressed either loneliness or materialism and its relationship with Internet addiction. However, to date, no study has addressed all three concepts in a single study. The purpose of this study was: 1) to investigate whether loneliness or materialism is a reliable predictor of Internet addiction and 2) what is the nature of the relationship among these variables across gender. Data were collected from a crosssectional online-survey, which consisted of US adults (N = 311). The survey consisted of 42 items related to the key constructs. Additionally, some demographic variables were also included in the survey. Loneliness was not associated with Internet addiction. On the other hand, materialism was strongly associated with Internet addiction. The aforementioned relationship was valid across gender. Between loneliness and materialism, materialism was a strong predictor of Internet addiction.
The relationship of some personal and situational factors to IS effectiveness: empirical evidence from Egypt

Most, if not all, of the empirical evidence on information systems effectiveness and its associated factors is confined to the use of data from developed countries, in particular from the USA. The findings of such research cannot necessarily be generalized to other environments where the social, economic, and cultural characteristics are different. Such evidence needs to be first validated using cross-cultural research before it can be used to manage global information systems effectively. This paper reports on the results of research aimed at testing the relationship of userâ€™s age, tenure in the job, organizational level, education, training, duration of system use, and involvement in system development to information systems effectiveness, as measured by user satisfaction and systems usage. Data were collected from 120 managers in 22 Egyptian banks. Age, tenure in the job, and user involvement in systems development were found to be positively correlated with user satisfaction. However, age, organizational level and education were found to be negatively associated with system usage. While beneficial to the Egyptian IS managers, such evidence from developing countries should contribute to the building of a general theory of trans-national global information systems.