Miracle-dz/UniFAR-FTUs huggingface dataset:
Cross-Industry Innovation: The Transfer of a Service-Based Business Model from the Video Game Industry to the Music Industry

How does one capture value from delivering digital music files which users expect to download for free? This is the fundamental challenge the music industry currently faces. Therefore, new service-based business models are required that incorporate the increased consumption of music on mobile devices, pervasive social networks, peer-to-peer technology, and the internet as the main distribution channel. Compared to the music industry, the video game industry was more successful in adapting its business models and therefore is a vital source from which to draw analogies for the music industry. In this article we propose a cross-industry innovation on the basis of a business model taken from the video game industry adapted to the needs of the market for digital music. This is illustrated with a case-study of the UK music-technology startup RjDj.
Homology Modeling and Conformational Epitope Prediction of Envelope Protein of Alkhumra Haemorrhagic Fever Virus

Background: The aim of this study was to generate in silico 3D-structure of the envelope protein of AHFV using homology modeling method to further predict its conformational epitopes and help other studies to investigate its structural features using the model. Methods: A 3D-structure prediction was developed for the envelope protein of Alkhumra haemorrhagic fever virus (AHFV), an emerging tick-borne flavivirus, based on a homology modeling method using M4T and Modweb servers, as the 3D-structure of the protein is not available yet. Modeled proteins were validated using Modfold 4 server and their accuracies were calculated based on their RSMDs. Having the 3D predicted model with high quality, conformational epitopes were predicted using DiscoTope 2.0. Results: Model generated by M4T was more acceptable than the Modweb-generated model. The global score and P-value calculated by Modfold 4 ensured that a certifiable model was generated by M4T, since its global score was almost near 1 which is the score for a high resolution X-ray crystallography structure. Furthermore, itsthe P-value was much lower than 0.001 which means that the model is completely acceptable. Having 0.46 Å rmsd, this model was shown to be highly accurate. Results from DiscoTope 2.0 showed 26 residues as epitopes, forming conformational epitopes of the modeled protein. Conclusion: The predicted model and epitopes for envelope protein of AHFV can be used in several therapeutic and diagnostic approaches including peptide vaccine development, structure based drug design or diagnostic kit development in order to facilitate the time consuming experimental epitope mapping process.
Parking Functions, Empirical Processes, and the Width of Rooted Labeled Trees

This paper provides tight bounds for the moments of the width of rooted labeled trees with $n$ nodes, answering an open question of Odlyzko and Wilf (1987). To this aim, we use one of the many one-to-one correspondences between trees and parking functions, and also a precise coupling between parking functions and the empirical processes of mathematical statistics. Our result turns out to be a consequence of the strong convergence of empirical processes to the Brownian bridge (Komlos, Major and Tusnady, 1975).
Arithmetic simplicity beneath metabolic network architecture

Metabolic networks perform some of the most fundamental functions in living cells, including energy transduction and building block biosynthesis. While these are the best characterized networks in living systems, understanding their evolutionary history and complex wiring constitutes one of the most fascinating open questions in biology, intimately related to the enigma of life's origin itself. Is the evolution of metabolism subject to general principles, beyond the unpredictable accumulation of multiple historical accidents? Here we search for such principles by applying to an artificial chemical universe some of the methodologies developed for the study of genome scale models of cellular metabolism. In particular, we use metabolic flux constraint-based models to exhaustively search for artificial chemistry pathways that can optimally perform an array of elementary metabolic functions. Despite the simplicity of the model employed, we find that the ensuing pathways display a surprisingly rich set of properties, including the existence of autocatalytic cycles and hierarchical modules, the appearance of universally preferable metabolites and reactions, and a logarithmic trend of pathway length as a function of input/output molecule size. Some of these properties can be derived analytically, borrowing methods previously used in cryptography. In addition, by mapping biochemical networks onto a simplified carbon atom reaction backbone, we find that several of the properties predicted by the artificial chemistry model hold for real metabolic networks. These findings suggest that optimality principles and arithmetic simplicity might lie beneath some aspects of biochemical complexity.
An Adaptive Noisy Chaotic Neural Network Approach for Frequency Assignment in Satellite Communications Systems

We propose an adaptive noisy chaotic neural network (A-NCNN) to solve the frequency assignment problem (FAP) in the satellite communications systems. The objective of this NP-complete problem is to minimize the cochannel interference between two satellite systems by rearranging the frequency assignments. In the A-NCNN, the noisy chaotic neuron dynamics manages the constraint satisfaction while the adaptive mapping scheme achieve the optimization of the problem. The performance of our A-NCNN is demonstrated through solving a set of benchmark problems, where the A-NCNN can find better solutions compared to the previous algorithms. I. I NTRODUCTION In satellite communication systems, cochannel interferen ce seriously affects system design and operation [1]. Intersy stem interference is an example of such cochannel interference. An effective way to deal with the interference reduction is the rearrangement of frequency assignments in practical situa tions [1]. The communications are assumed to operated between Fa and Fb as showed in Fig. 1. The cochannel interference can be evaluated by calculating the each pair of carriers using the same frequency, which is varied with different pai rs. Because each carrier occupies different length of frequenc y. In order to avoid the nonlinearity, Mizuiket al. proposed the segmentation method of carriers, which uniformly divided t he commonly shared frequency band into a number of discrete ”segments”. In each system, every carrier can be divided int o consecutive unit segments. Thus the interference between t he two systems (sayM segments) in Fig. 1 is described by a M × M interference matrixE = (eij). The ijth element eij represents the cochannel interference when segment #i in system 2 use a common frequency with segment #j in system 1. Fig. 2(a) shows the segmentation of the system in Fig. 1 and the optimum assignment under the interference matrix in Fig. 2(b). In order to reduce the cochannel interference between the two adjacent systems, the frequency assignment in system 2 is rearranged but the assignments in system 1 is fixed. In this way, the FAP is equivalent to assign each segmen t in system 2 to a segment in system 1 of using a common frequency. The frequency reassignment can be formulated as C11 C12 C13 C21 C22 C23 C24 System 1
Estimation of scalar ocean wave spectra by the maximum entropy method

This paper describes the estimation of ocean wave spectra with the maximum entropy method. This method is based on an autoregressive model for the time series of sea surface elevation, and gives an all-pole estimate. The wave series are also prefiltered to introduce one zero in the spectral estimate. The methods are successfully applied to estimate the spectra of some typical wave series, requiring between 10 and 30 parameters. Our comparison with conventional spectral estimates also show that the new methods give good estimates of the spectral moments, that is important because the moments are parameters in a statistical description of the sea surface. The algorithms involved are well suited for realtime estimation of high-resolution wave spectra.
A study of TRPV1 and TRPV4 ion channels in the beta cells by using fura-2 based microfluorometry.

The calcium ion (Ca2+) is an important ion that regulates many cellular functions including exocytosis, contraction of muscles, neural functions, fertilization and cell division. In the plasma membrane of cells there are different Ca2+ channels, including the transient receptor potential (TRP) family of cation channels. The TRP channels are activated by physical stimuli like temperature, stretch, osmolality, and also various ligands. These channels are divided into seven subfamilies, namely TRPC, TRPV, TRPM, TRPML, TRPA, TRPP, and TRPN. TRP channels can regulate the cytoplasmic free Ca2+ concentration ([Ca2+]i) and are therefore important for research of insulin secretion from beta (β) cells. With TRP research new and more effective treatment methods for people with diabetes can be developed. People with type 2 diabetes have a decreased insulin secretion from beta (β) cells, in response to glucose. Cytoplasmic free Ca2+ concentration ([Ca2+]i) is important for insulin secretion. It is therefore desirable to find compounds that can increase [Ca2+]i in pancreatic β cells and thereby increase insulin secretion. The aim of this project was to investigate whether pancreatic β cells express TRPV1 and TRPV4 ion channels. If the channels are expressed in β cells the [Ca2+]i can be increased by identifying substances that stimulate TRPV1 and TRPV4 channels. The results can then be used for providing better treatment for patients with diabetes type 2. Insulinoma cells from rat (S5 cells) were used as a model for β cells. [Ca2+]i was measured from single fura-2 loaded S5 cells by ratiometric microfluorometry. To test whether TRPV1 is expressed, N-(4-hydroxyphenyl)-Arachidonoylamide (AM404) and [5-hydroxyl-1-(4-hydroxy-3-methoxyphenyl)decan-3-one] ([6]-gingerol) were used. To test whether TRPV4 was expressed, a TRPV4-selective agonist 4alpha-Phorbol 12,13-Didecanoate namely 4α–PDD was used. The two agonist of TRPV1, AM404 and [6]-gingerol increased [Ca2+]i . Capsaicin a classical activator of TRPV1 used as a control also increased [Ca2+]i . These increases were inhibited by capsazepine, a specific blocker of TRPV1. 4α–PDD, a specific agonist of TRPV4 also increased [Ca2+]i. These results suggest that S5 cells express both TRPV1 and TRPV4 channels and that AM404, [6]-gingerol and 4α–PDD are potential substances for increasing the insulin secretion from β cells.
NOWHERE-ZERO k-FLOWS OF SUPGRAPHS Bojan

Let G be a 2-edge-connected graph with o vertices of odd degree. It is well-known that one should (and can) add o 2 edges to G in order to obtain a graph which admits a nowhere-zero 2-flow. We prove that one can add to G a set of ≤ o 4 , 12 o 5 , and 12 o 7 edges such that the resulting graph admits a nowhere-zero 3-flow, 4-flow, and 5-flow, respectively.
Non-Orthogonal Multiple Access schemes in Wireless Powered Communication Networks

We characterize time and power allocations to optimize the sum-throughput of a Wireless Powered Communication Network (WPCN) with Non-Orthogonal Multiple Access (NOMA). In our setup, an Energy Rich (ER) source broadcasts wireless energy to several devices, which use it to simultaneously transmit data to an Access Point (AP) on the uplink. Differently from most prior works, in this paper we consider a generic scenario, in which the ER and AP do not coincide, i.e., are two separate entities. We study two NOMA decoding schemes, namely Low Complexity Decoding (LCD) and Successive Interference Cancellation Decoding (SICD). For each scheme, we formulate a sum-throughput optimization problem over a finite horizon. Despite the complexity of the LCD optimization problem, due to its non-convexity, we recast it into a series of geometric programs. On the other hand, we establish the convexity of the SICD optimization problem and propose an algorithm to find its optimal solution. Our numerical results demonstrate the importance of using successive interference cancellation in WPCNs with NOMA, and show how the energy should be distributed as a function of the system parameters.
Agricultural commercialization and household food security: The case of smallholders in Great Lakes Region of Central Africa

Rwanda and the Democratic Republic of Congo (DRC) faces the challenge of low food production and high incidences of poverty. Several programs initiated in the region to improve food security and market access have had limited success. Many households mainly grow bananas and legumes as staple crops. Using propensity score matching, this paper evaluates the impact of bananas and legumes commercialization on household food security. Commercial oriented farmers have more diverse diets than non-commercial oriented ones because they can easily purchase other foods to supplement own production. Commercialization has a robust and positive effect on household food security. It significantly increases household dietary diversity and reduces the number of coping strategies adopted during food shortage. Programs that promote commercialization of smallholder agriculture coupled with improved infrastructure in terms of roads and market information systems are continuously needed to facilitate commercialization of farm produce.
Models of Influence in Online Social Networks

Online social networks gained their popularity from relationships users can build with each other. These social ties play an important role in asserting users' behaviors in a social network. For example, a user might purchase a product that his friend recently bought. Such phenomenon is called social influence, which is used to study users' behavior when the action of one user can affect the behavior of his neighbors in a social network. Social influence is increasingly investigated nowadays as it can help spreading messages widely, particularly in the context of marketing, to rapidly promote products and services based on social friends' behavior in the network. This wide interest in social influence raises the need to develop models to evaluate the rate of social influence. In this paper, we discuss metrics used to measure influence probabilities. Then, we reveal means to maximize social influence by identifying and using the most influential users in a social network. Along with these contributions, we also survey existing social influence models, and classify them into an original categorization framework. Then, based on our proposed metrics, we show the results of an experimental evaluation to compare the influence power of some of the surveyed salient models used to maximize social influence.
Research and Clinical Applications of Assessing Balance

Returning athletes to competition following injury often creates a dilemma for athletic trainers and team physicians. Most clinicians gather as much data as possible before deciding whether to return an athlete to competition following injury. The status of the postural control system and balance is important for certain pathologies and therefore should be considered in these clinical decisions. As more high-tech balance systems become available, it is important for clinicians to understand not only what is available but what these devices measure. This paper will review the relationship between the postural control system and the kinetic chain, traditional and contemporary techniques for assessing balance, and ways in which clinicians can bridge the gap between balance research and clinical practice.
Atomic data and electron-impact broadening effect in DO white dwarf atmospheres: Si vi

Energy levels, electric dipole transition probabilities and oscillator strengths in five times ionized silicon have been calculated in intermediate coupling. The present calculations were carried out with the general purpose atomic structure program SUPERSTRUCTURE. The relativistic corrections to the non-relativistic Hamiltonian are taken into account through the Breit-Pauli approximation. We have also introduced a semi-empirical correction [term energy corrections (TEC)] for the calculation of the energy levels. These atomic data are used to provide semiclassical electron-, proton- and ionized helium-impact linewidths and shifts for 15 Si vi multiplet. Calculated results have been used to consider the influence of Stark broadening for DO white dwarf atmospheric conditions.
MonoScope: Automating network faults diagnosis based on active measurements

Network faults, such as router failures, cable outages, and configuration errors, could seriously affect network performance. In this paper, we use network faults very loosely, including those that will yield unfavorable end-to-end network performance, such as packet reordering and suboptimal routes. Diagnosing network faults on end-to-end paths is a very challenging problem, because it generally involves other domains. Even if it can be done, the process is very time consuming, because multiple sources of data, which are scattered in different places, are needed for such diagnosis. In this paper, we consider the problem of making the fault diagnosis as automatic as possible. Based on coordinated active measurement from a set of end systems, we propose a procedure of detecting network faults and identifying their locations. Although this procedure cannot be fully automated for the time being, we show that some of the components could be automated, and we are automating them in a preliminary system called MonoScope. We demonstrate the efficacy of this procedure through several real-world cases that we have encountered in our four years of network monitoring experience.
Educação sexual com adolescentes escolares: relato de experiência/ Sexual education with school adolescents: an experience report

As Infecções Sexualmente Transmissíveis são as principais causas de consulta médica e de implicações nos sistemas reprodutores. Este artigo objetiva relatar experiência de educação sexual com adolescentes escolares. Trata-se de um produto da extensão do Grupo Pastoral da Aids de centro universitário no interior cearense. A atividade foi realizada em três encontros, em agosto de 2016, com 24 adolescentes com idade de 16 e 19 anos, em uma escola pública no estado do Ceará. No primeiro encontro, buscou-se estabelecer o compromisso e participação dos escolares. No segundo encontro, solicitou-se a construção de painéis sobre sexualidade, obtendo as principais ideias atreladas ao corpo. Posteriormente, instigou-se os adolescentes a exporem conhecimentos sobre as infecções, entretanto, verificou-se incipiência nas informações relatadas pelos participantes. No terceiro momento, o foco foi a discussão acerca do Vírus da Imunodeficiência Humana (HIV) e Aids. A educação em saúde propiciou informações aos adolescentes com esclarecimento de dúvidas. Estar no ambiente escolar, oportunizou o protagonismo juvenil e viabilizou reflexões sobre as vulnerabilidades em saúde e adoção de práticas seguras.
A bootstrap training approach for language model classifiers

In this paper, we present a bootstrap training approach for language model (LM) classifiers. Training class dependent LM and running them in parallel, LM can serve as classifiers with any kind of symbol sequence, e.g., word or phoneme sequences for tasks like topic spotting or language identification (LID). Irrespective of the special symbol sequence used for a LM classifier, the training of a LM is done with a manually labeled training set for each class obtained from not necessarily cooperative speakers. Therefore, we have to face some erroneous labels and deviations from the originally intended class specification. Both facts can worsen classification. It might therefore be better not to use all utterances for training but to automatically select those utterances that improve recognition accuracy; this can be done by a bootstrap procedure. We present the results achieved with our best approach on the VERBMOBIL corpus for the tasks dialog act classification and LID.
LOMETS: A local meta-threading-server for protein structure prediction

We developed LOMETS, a local threading meta-server, for quick and automated predictions of protein tertiary structures and spatial constraints. Nine state-of-the-art threading programs are installed and run in a local computer cluster, which ensure the quick generation of initial threading alignments compared with traditional remote-server-based meta-servers. Consensus models are generated from the top predictions of the component-threading servers, which are at least 7% more accurate than the best individual servers based on TM-score at a t-test significance level of 0.1%. Moreover, side-chain and C-alpha (Cα) contacts of 42 and 61% accuracy respectively, as well as long- and short-range distant maps, are automatically constructed from the threading alignments. These data can be easily used as constraints to guide the ab initio procedures such as TASSER for further protein tertiary structure modeling. The LOMETS server is freely available to the academic community at http://zhang.bioinformatics. ku.edu/LOMETS.
Categorization costs for hierarchical keyboard commands

Previous research comparing methods of issuing commands found that selecting a toolbar item is faster than selecting an item from two menus with either a mouse or keyboard shortcut. Over the course of 90 trials, however, the keyboard method showed the most improvement, nearing the toolbar response time. The study presented in this paper compared the response time of the keyboard method across 240 trials when items were drawn from a single versus two menus. Throughout the trials, the 1-menu condition produced selection times that were on average 600 ms to 800 ms faster than the 2-menu condition suggesting users in the 2-menu condition were not able to bypass the menu decision by chunking the 3-key sequence into one cognitive unit. Models are presented to describe performance at various stages of learning. Practical implications are that hierarchical, category-based keyboard commands do not provide a clear advantage to toolbar-based selection and that theory-based evaluation methods may need to reflect this result.
Electrothermal flow in dielectrophoresis of single-walled carbon nanotubes

We theoretically investigate the impact of the electrothermal flow on the dielectrophoretic separation of single-walled carbon nanotubes (SWNTs). The electrothermal flow is observed to control the motions of semiconducting SWNTs in a sizable domain near the electrodes under typical experimental conditions, therefore helping the dielectrophoretic force to attract semiconducting SWNTs in a broader range. Moreover, with the increase of the surfactant concentration, the electrothermal flow effect is enhanced, and with the change of frequency, the pattern of the electrothermal flow changes. It is shown that under some typical experimental conditions of dielectrophoretic separation of SWNTs, the electrothermal flow is a dominating factor in determining the motion of SWNTs.