Miracle-dz/UniFAR-FTUs huggingface dataset:
Basic and simple mathematical model of coupled transcription, translation and degradation

Synthesis of proteins is one of the most fundamental biological processes, which consumes a significant amount of cellular resources. Despite many efforts to produce detailed mechanistic mathematical models of translation, no basic and simple kinetic model of mRNA lifecycle (transcription, translation and degradation) exists. We build such a model by lumping multiple states of translated mRNA into few dynamical variables and introducing a pool of translating ribosomes. The basic and simple model can be extended, if necessary, to take into account various phenomena such as the interaction between translating ribosomes or regulation of translation by microRNA. The model can be used as a building block (translation module) for more complex models of cellular processes.
New Cosmological Structures on Medium Angular Scales Detected with the Tenerife Experiments

We present observations at 10 and 15 GHz taken with the Tenerife experiments in a band of the sky at declination +35°. These experiments are sensitive to multipoles in the range l = 10-30. The sensitivities per beam are 56 and 20 μK for the 10 and 15 GHz data, respectively. After subtraction of the prediction of known radio sources, the analysis of the data at 15 GHz at high Galactic latitude shows the presence of a signal with amplitude ΔTrms ~ 32 μK. In the case of a Harrison-Zeldovich spectrum for the primordial fluctuations, a likelihood analysis shows that this signal corresponds to a quadrupole amplitude Qrms-PS = 20.1+ 7.1−5.4 μK, in agreement with our previous results at declination +40° and with the results of the COBE DMR. There is clear evidence for the presence of individual features in the right ascension range 190°-250° with a peak-to-peak amplitude of ~110 μK. A preliminary comparison between our results and COBE DMR predictions for the Tenerife experiments clearly indicates the presence of individual features common to both. The constancy in amplitude over such a large range in frequency (10-90 GHz) is strongly indicative of an intrinsic cosmological origin for these structures.
Ethnic Differences in Physiological Responses to Fear Conditioned Stimuli

The idea that emotional expression varies with ethnicity is based largely on questionnaires and behavioral observations rather than physiological measures. We therefore compared the skin conductance responses (SCR) of Hispanic (Puerto Rican) and White non-Hispanic subjects in a fear conditioning and fear extinction task. Subjects were recruited from two sites: San Juan, Puerto Rico (PR), and Boston, Massachusetts (MA), using identical methods. A total of 78 healthy subjects (39 from PR, 39 from MA) were divided by sex and matched for age and educational level. Females from the two sites did not differ in their SCRs during any experimental phase of fear conditioning (habituation, conditioning, or extinction). In contrast, PR males responded significantly to the conditioned stimulus than MA males or PR females. Subtracting ethnic differences observed during the habituation phase (prior to conditioning) eliminated differences from subsequent phases, suggesting that PR males are elevated in their response to novelty rather than fear learning. Our findings suggest that, in addition to sex differences, there are ethnic differences in physiological responses to novel stimuli at least in males, which could be relevant for the assessment and treatment of anxiety disorders.
Informing the Structure of Executive Function in Children: A Meta-Analysis of Functional Neuroimaging Data

The structure of executive function (EF) has been the focus of much debate for decades. What is more, the complexity and diversity provided by the developmental period only adds to this contention. The development of executive function plays an integral part in the expression of children's behavioral, cognitive, social, and emotional capabilities. Understanding how these processes are constructed during development allows for effective measurement of EF in this population. This meta-analysis aims to contribute to a better understanding of the structure of executive function in children. A coordinate-based meta-analysis was conducted (using BrainMap GingerALE 2.3), which incorporated studies administering functional magnetic resonance imaging (fMRI) during inhibition, switching, and working memory updating tasks in typical children (aged 6–18 years). The neural activation common across all executive tasks was compared to that shared by tasks pertaining only to inhibition, switching or updating, which are commonly considered to be fundamental executive processes. Results support the existence of partially separable but partially overlapping inhibition, switching, and updating executive processes at a neural level, in children over 6 years. Further, the shared neural activation across all tasks (associated with a proposed “unitary” component of executive function) overlapped to different degrees with the activation associated with each individual executive process. These findings provide evidence to support the suggestion that one of the most influential structural models of executive functioning in adults can also be applied to children of this age. However, the findings also call for careful consideration and measurement of both specific executive processes, and unitary executive function in this population. Furthermore, a need is highlighted for a new systematic developmental model, which captures the integrative nature of executive function in children.
Bringing mobile guides and fitness activities together: a solution based on an embodied virtual trainer

Sports and fitness are increasingly attracting the interest of computer science researchers as well as companies. In particular, recent mobile devices with hardware graphics acceleration offer new, still unexplored possibilities. This paper investigates the use of mobile guides in fitness activities, proposing the Mobile Personal Trainer (MOPET) application. MOPET uses a GPS device to monitor user's position during her physical activity in an outdoor fitness trail. It provides navigation assistance by using a fitness trail map and giving speech directions. Moreover, MOPET provides motivation support and exercise demonstrations by using an embodied virtual trainer, called Evita. Evita shows how to correctly perform the exercises along the trail with 3D animations and incites the user. To the best of our knowledge, our project is the first to employ a mobile guide for fitness activities. The effects of MOPET on motivation, as well as its navigational and training support, have been experimentally evaluated with 12 users. Evaluation results encourage the use of mobile guides and embodied virtual trainers in outdoor fitness applications.
Provably Secure Competitive Routing against Proactive Byzantine Adversaries via Reinforcement Learning

An ad hoc wireless network is an autonomous selforganizing system of mobile nodes connected by wireless links where nodes not in direct range communicate via intermediary nodes. Routing in ad hoc networks is a challenging problem as a result of highly dynamic topology as well as bandwidth and energy constraints. The Swarm Intelligence paradigm has recently been demonstrated as an effective approach for routing in small static network configurations with no adversarial intervention. These algorithms have also been proven to be robust and resilient to changes in node configuration. However, none of the existing routing algorithms can withstand a dynamic proactive adversarial attack, where the network may be completely controlled by byzantine adversaries. The routing protocol presented in this work attempts to provide throughput competitive route selection against an adversary which is essentially unlimited; more specifically, the adversary benefits from complete collusion of adversarial nodes, can engage in arbitrary byzantine behavior and can mount arbitrary selective adaptive attacks, dynamically changing its attack with each new packet. In this work, we show how to use the Swarm Intelligence paradigm and Distributed Reinforcement Learning in order to develop provably secure routing against byzantine adversaries. A proof of the convergence time of our algorithm is presented as well as preliminary simulation results.
Simultaneous Tracking and Activity Recognition

Many tracking problems involve several distinct objects interacting with each other. We develop a framework that takes into account interactions between objects allowing the recognition of complex activities. In contrast to classic approaches that consider distinct phases of tracking and activity recognition, our framework performs these two tasks simultaneously. In particular, we adopt a Bayesian standpoint where the system maintains a joint distribution of the positions, the interactions and the possible activities. This turns out to be advantegeous, as information about the ongoing activities can be used to improve the prediction step of the tracking, while, at the same time, tracking information can be used for online activity recognition. Experimental results in two different settings show that our approach 1) decreases the error rate and improves the identity maintenance of the positional tracking and 2) identifies the correct activity with higher accuracy than standard approaches.
In vitro evaluation of different varieties of maize fodder for their methane generation potential and digestibility with goat rumen liquor

Aim: To evaluate the methane generation potential and digestibility of different (normal and three high-quality protein maize [HQPM]) varieties of maize fodder with goat rumen liquor in vitro. Materials and Methods: Methane production potential and digestibility of different varieties of maize fodder were tested in in vitro gas production test. Seven varieties of maize, four normal (HTHM 5101, DHM 117, HM 5, and Shaktiman/900 M Gold), and three high-quality protein (HQPM 5, HQPM 7, and HQPM 9/Vivek) were grown in different plots under the same environmental and agro-climatic conditions. Fodders were harvested at 45-50 days of sowing, and the representative samples of fodder from different varieties of maize were collected for analysis. Dried and grinded form of these maize fodder varieties was tested for gas, methane, and digestibility using goat rumen microflora in in vitro gas syringes. Results: Gas production (ml/g dry matter [DM]) was highest for HM5 variety (97.66, whereas lowest for HQPM 9 variety (64.22). Gas production (ml/g degraded DM [DDM]) and methane (%) were statistically similar in different varieties of maize fodder. The methane production expressed as ml/g DM and ml/g DDM was significantly (p<0.05) highest for HM 5 (14.22 and 26.62) and lowest for DHM 117 variety (7.47 and 14.13). The in vitro DM digestibility (%) and in vitro organic matter digestibility (%) varied from 47.48 (HQPM 5) to 52.05 (HQPM 9) and 50.03 (HQPM 7) to 54.22 (HM 5), respectively. Conclusion: The present study concluded that DHM 117 maize variety fodder has lowest methane generation potential and incorporating it in the dietary regime of ruminants may contribute to lower methane production.
Internet Addiction, Depression, Anxiety and Stress among Indian Youth

Background and Objectives: The phenomenon of internet addiction has grown to be one of the most discussed and clinically implicated areas in research for the last decade. The aim of this study was to determine the level of internet addiction among youth and its relation to depression, anxiety and / or stress among the Indian youth. Methods: The sample for this study was 349 male and female participants between the age group of 15-29 years, across various cities in India. Convenient sampling and snowball sampling methods were engendered for the purpose of collecting data. The Internet Addiction Test (IAT) by Kimberley Young and the Depression Anxiety and Stress Scale21 (DASS21) by Lovibond and Lovibond was administered to the sample. A two-way MANOVA was used to analyse the data of this study. Results: Results showed that all findings for Wilk’s Lambda and Pillai’s Trace assessing the relationship between internet addiction and gender with depression, anxiety and stress were non-significant. Conclusion: The findings suggest that there is a relationship between internet addiction, depression, anxiety and stress. However, the findings of this study suggest that there is no significant relationship between internet addiction and gender with depression, anxiety and / or stress among Indian youth.
Incentive Systems in Multi-Level Markets for Virtual Goods

As an alternative to rigid DRM measures, ways of marketing virtual goods through multi-level or networked marketing have raised some interest. This report is a first approach to multi-level markets for virtual goods from the viewpoint of theoretical economy. A generic, kinematic model for the monetary flow in multi-level markets, which quantitatively describes the incentives that buyers receive through resales revenues, is devised. Building on it, the competition of goods is examined in a dynamical, utility-theoretic model enabling, in particular, a treatment of the free-rider problem. The most important implications for the design of multi-level market mechanisms for virtual goods, or multi-level incentive management systems, are outlined.
Contribution of Different Limb Controllers to Modulation of Motor Cortex Neurons during Locomotion

During locomotion, neurons in motor cortex exhibit profound step-related frequency modulation. The source of this modulation is unclear. The aim of this study was to reveal the contribution of different limb controllers (locomotor mechanisms of individual limbs) to the periodic modulation of motor cortex neurons during locomotion. Experiments were conducted in chronically instrumented cats. The activity of single neurons was recorded during regular quadrupedal locomotion (control), as well as when only one pair of limbs (fore, hind, right, or left) was walking while another pair was standing. Comparison of the modulation patterns in these neurons (their discharge profile with respect to the step cycle) during control and different bipedal locomotor tasks revealed several groups of neurons that receive distinct combinations of inputs from different limb controllers. In the majority (73%) of neurons from the forelimb area of motor cortex, modulation during control was determined exclusively by forelimb controllers (right, left, or both), while in the minority (27%), hindlimb controllers also contributed. By contrast, only in 30% of neurons from the hindlimb area was modulation determined exclusively by hindlimb controllers (right or both), while in 70% of them, the controllers of forelimbs also contributed. We suggest that such organization of inputs allows the motor cortex to contribute to the right–left limbs' coordination within each of the girdles during locomotion, and that it also allows hindlimb neurons to participate in coordination of the movements of the hindlimbs with those of the forelimbs.
La investigación española en Economía 1995-1999

In this paper we study economic research in Spain from 1995 to 1999 using EconLit. First we compare economic research in Spain with respect to the whole world. Later, we rank several Spanish institutions following different criteria, as for instance the impact factor and the Half Life index of the Social Science Citation Index and the “Blue Ribbon” lists of journals. The conclusion of our paper is that economic research; although it is concentrated in some institutions, is increasing in the latter years. (Copyright: Fundacion Empresa Publica)
AN-Aided Secrecy Precoding for SWIPT in Cognitive MIMO Broadcast Channels

In this letter, we study the secrecy precoding problem for simultaneous wireless information and power transfer (SWIPT) in a cognitive multiple-input multiple-output (MIMO) broadcast channel. We adopt an artificial noise (AN)-aided precoding scheme and formulate the problem as a secrecy rate maximization (SRM) problem, which is subject to both an interference power constraint imposed to protect the primary user (PU) and an energy harvesting constraint required by the secondary energy receiver (SER). Since the formulated SRM problem constitutes a difference convex (DC)-type programming problem, we solve it by employing a successive convex approximation (SCA) method. With the SCA method, the nonconvex part of the SRM problem can be locally linearized to its first-order Taylor expansion. Then, relying on solving a series of convexified optimization problems, an iterative precoding algorithm is developed. Numerical simulations are also provided to demonstrate the proposed algorithm. Results show that our algorithm can achieve a near-optimal performance with guaranteed convergence.
The Consequences of Friend-Related Stress Across Early Adolescence

The current study investigated early adolescents’ experiences of friend-related stress across middle school and its developmental consequences following the transition to high school. Using a sample of approximately 1,000 middle school students, four unique friend-related stress trajectories were observed across middle school: consistently low friend-related stress (57% of the sample), consistently high friend-related stress (7%), moderate and increasing friend-related stress (22%), and moderate but decreasing friend-related stress (14%). Groups characterized by higher levels of friend-related stress across middle school were linked to subsequent poorer socioemotional well-being, lower academic engagement, and greater involvement in and expectancies around risky behaviors following the transition to high school. Increased friend-related stress across the high school transition was also linked to poorer outcomes, even after taking into account earlier stress trajectories. Gender differences highlighted the particular struggles girls experience both in friend stress and in the links between friend stress and subsequent well-being.
Automated OCR Ground Truth Generation

Most optical character recognition (OCR) systems need to be trained and tested on the symbols that are to be recognized. Therefore, ground truth data is needed. This data consists of character images together with their ASCII code. Among the approaches for generating ground truth of real world data, one promising technique is to use electronic version of the scanned documents. Using an alignment method, the character bounding boxes extracted from the electronic document are matched to the scanned image. Current alignment methods are not robust to different similarity transforms. They also need calibration to deal with non-linear local distortions introduced by the printing/scanning process. In this paper we present a significant improvement over existing methods, allowing to skip the calibration step and having a more accurate alignment, under all similarity transforms. Our method finds a robust and pixel accurate scanner independent alignment of the scanned image with the electronic document, allowing the extraction of accurate ground truth character information. The accuracy of the alignment is demonstrated using documents from the UW3 dataset. The results show that the mean distance between the estimated and the ground truth character bounding box position is less than one pixel.
Resistance of IAPs to methylation reprogramming may provide a mechanism for epigenetic inheritance in the mouse

Summary: Genome‐wide epigenetic reprogramming by demethylation occurs in early mouse embryos and primordial germ cells. In early embryos many single‐copy sequences become demethylated both by active and passive demethylation, whereas imprinted gene methylation remains unaffected. In primordial germ cells single‐copy and imprinted sequences are demethylated, presumably by active demethylation. Here we investigated systematically by bisulphite sequencing the methylation profiles of IAP and Line1 repeated sequence families during preimplantation and primordial germ cell development. Whereas Line1 elements were substantially demethylated during both developmental periods, IAP elements were largely resistant to demethylation, particularly during preimplantation development. This may be desirable in order to prevent IAP retrotransposition, which could cause mutations. In turn, this can result in the transgenerational inheritance of epigenetic states of IAPs, which could lead to heritable epimutations of neighbouring genes through influencing their transcriptional states. genesis 35:88–93, 2003. © 2003 Wiley‐Liss, Inc.
Re-examining how complexin inhibits neurotransmitter release

Complexins play activating and inhibitory functions in neurotransmitter release. The complexin accessory helix inhibits release and was proposed to insert into SNARE complexes to prevent their full assembly. This model was supported by ‘superclamp’ and ‘poor-clamp’ mutations that enhanced or decreased the complexin-I inhibitory activity in cell–cell fusion assays, and by the crystal structure of a superclamp mutant bound to a synaptobrevin-truncated SNARE complex. NMR studies now show that the complexin-I accessory helix does not insert into synaptobrevin-truncated SNARE complexes in solution, and electrophysiological data reveal that superclamp mutants have slightly stimulatory or no effects on neurotransmitter release, whereas a poor-clamp mutant inhibits release. Importantly, increasing or decreasing the negative charge of the complexin-I accessory helix inhibits or stimulates release, respectively. These results suggest a new model whereby the complexin accessory helix inhibits release through electrostatic (and perhaps steric) repulsion enabled by its location between the vesicle and plasma membranes. DOI: http://dx.doi. org/10.7554/eLife.02391. 001
The Effects of Tax Reform on Prices and Asset Values

All forms of consumption taxes have the same basic, desirable effect on the economy--they eliminate the distortion present in an income tax between current and future consumption. But different ways of administering conumption taxes have different effects in the long run and especially during the transition. Sales taxes and value-added taxes require a one-time increase in the price level, a shock that the Hall-Rabushka and personal consumption taxes avoid. The basis value-added tax (VAT) requires a one-time appreciation of the dollar, a shock that other consumption taxes avoid. Generally, consumption taxes would impose a new tax on the rental value of owner-occupied housing, which might have a small adverse net effect on housing. This effect could be offset by a personal housing deduction. The present paper also discusses effects on interest rates, bonds, equities, human capital, and retirement saving.
ASSESSMENT OF RELATIONSHIP BETWEEN GROWTH AND INEQUALITY: MICRO EVIDENCE FROM THAILAND

This paper shows that growth and income distribution dynamics are closely linked through occupation, financial intermediation, and education. We use micro data from Thailand for 1976–1996. The compositional changes across these characteristics account for half of the Thai inequality increase and 40% of the Thai growth and poverty reduction. Financial deepening and educational expansion contributed to increasing inequality, whereas occupational transformation contributed to poverty alleviation. The changes in income gaps across the income–status groups, that is, divergence and then convergence, give rise to inverted-U inequality dynamics. These two growth-related components of inequality dynamics, composition and income-gap dynamics, explain virtually all the change in overall inequality, except its initial rise. Thus, inequality dynamics can be viewed as an integral part of the wider process of growth, as Kuznets speculated.