Miracle-dz/UniFAR-FTUs huggingface dataset:
Evolutionary Analysis of Biological Excitability

Excitability is an attribute of life, and is a driving force in the descent of complexity. Cellular electrical activity as realized by membrane proteins that act as either channels or transporters is the basis of excitability. Electrical signaling is mediated by a wave of action potentials, which consist of synchronous redistribution of ionic gradients down ion channels. Ion channels select for the passage of a particular ion species. Potassium ion channels are gated by a variety of stimuli, including membrane voltage. Sodium and calcium channels are gated only by membrane voltage, suggesting the conservative argument that voltage-gated potassium channels are the founding members of the voltage-gated ion channel superfamily. The principal focus of this work is the investigation of the complement of potassium ion channels in our genome and its generalizabilty. An array of issues relevant to excitability is addressed, and a range of engagement in questions regarding the unity of life is proffered.
Treatment of Cerebral Palsy with Stem Cells: A Report of 17 Cases

Cerebral Palsy (CP) is a disabling condition that affects a child’s life and his/her family irreversibly. It is usually a non-progressive condition but improvement over time is rarely seen. The condition can be due to prenatal hypoxia, metabolic, genetic, infectious, traumatic or other causes. It is therefore a heterogeneous group that results in functional motor disability associated with different degrees of cognitive abnormalities. There are no treatments that can cure or even improve CP and the best available approach aims at functional, social and nutritional supportive care and counseling. In this paper, we report 17 sequential patients with CP treated with intrathecal administration of Bone Marrow Mononuclear Cells (BMMC). All patients had an uneventful post-injection course with 73% of the evaluable patients treated having a good response using the Gross Motor Function Classification System (GMFCS). The average improvement was 1.3 levels on the GMFCS with cognitive improvements as well.
Influence of directional antennas in STDMA ad hoc network schedule creation

The Spatial reuse Time Division Multiple Access (STDMA) ad hoc networks take advantage of the electromagnetic spectrum reuse to increase the global capacity of the network. The schedule creation takes into account different variables. One of them, the Signal-Interference plus Noise Ratio (SINR) generates that the geographical distribution of nodes influences a lot the behavior of the network. The usage of directional antennas in this kind of networks improves the spatial reuse and consequently the capacity of the network. In this article the schedule in a STDMA network is analyzed using antennas with different lobe angles. The created frame lengths for different connectivities are analyzed as well as the number of links/nodes per slot or the spatial reuse that it is achieved comparing to the one in a Time Division Multiple Access (TDMA) network. Results are presented for link-based and node-based assignment methods.
Identification of False Rotor Fault Indications Produced by Online MCSA for Medium-Voltage Induction Machines

Motor current signature analysis (MCSA) has become an essential part of the preventive maintenance program for monitoring the condition of the rotor cage in medium-voltage induction motors in the pulp and paper industry. However, many cases of false indications due to interference from the motor or the load have been reported. False indications can result in unnecessary inspection and outage costs (false positives) or major repair/replacement costs and loss of production (false negatives). The objective of this paper is to present the potential root causes of false indications and provide guidelines on how commercially available offline and online tests can be applied for identifying false indications from a field engineers' perspective. Case studies of false MCSA indications and results of alternative commercial tests for improving the reliability of the diagnosis are provided through measurements on 6.6-kV and laboratory motor samples. Finally, new test methods under research and development for reliable rotor fault detection are summarized, and unresolved problems are listed. This paper is expected to help field maintenance engineers prevent unnecessary motor inspection and forced outages and guide researchers target future research toward industrial needs.
Stochastic Language Generation in Dialogue using Factored Language Models

Most previous work on trainable language generation has focused on two paradigms: (a) using a generation decisions of an existing generator. Both approaches rely on the existence of a handcrafted generation component, which is likely to limit their scalability to new domains. The first contribution of this article is to present Bagel, a fully data-driven generation method that treats the language generation task as a search for the most likely sequence of semantic concepts and realization phrases, according to Factored Language Models (FLMs). As domain utterances are not readily available for most natural language generation tasks, a large creative effort is required to produce the data necessary to represent human linguistic variation for nontrivial domains. This article is based on the assumption that learning to produce paraphrases can be facilitated by collecting data from a large sample of untrained annotators using crowdsourcing—rather than a few domain experts—by relying on a coarse meaning representation. A second contribution of this article is to use crowdsourced data to show how dialogue naturalness can be improved by learning to vary the output utterances generated for a given semantic input. Two data-driven methods for generating paraphrases in dialogue are presented: (a) by sampling from the n-best list of realizations produced by Bagel's FLM reranker; and (b) by learning a structured perceptron predicting whether candidate realizations are valid paraphrases. We train Bagel on a set of 1,956 utterances produced by 137 annotators, which covers 10 types of dialogue acts and 128 semantic concepts in a tourist information system for Cambridge. An automated evaluation shows that Bagel outperforms utterance class LM baselines on this domain. A human evaluation of 600 resynthesized dialogue extracts shows that Bagel's FLM output produces utterances comparable to a handcrafted baseline, whereas the perceptron classifier performs worse. Interestingly, human judges find the system sampling from the n-best list to be more natural than a system always returning the first-best utterance. The judges are also more willing to interact with the n-best system in the future. These results suggest that capturing the large variation found in human language using data-driven methods is beneficial for dialogue interaction.
Fuzzy Support Vector Machine for Eye Expression Analysis

This paper consider the human eye expression analysis problem. In this algorithm, combines gabor wavelet, fuzzy support vector machine (FSVM) and triple decision tree. First, the gabor wavelet is used to extract the eye feature; Second, the fuzzy support vector machine is used for classification; Last, the triple decision tree is used to reduce time. Experimental results demonstrate the proposed the method has good classification performance and high efficiency.
Constant temperature constrained molecular dynamics: The Newton-Euler inverse mass operator method

The Newton−Euler inverse mass operator (NEIMO) method for internal coordinate molecular dynamics (MD) of macromolecules (proteins and polymers) leads to stable dynamics for time steps about 10 times larger than conventional dynamics (e.g., 20 or 30 fs rather than 1 or 2 fs for systems containing hydrogens). NEIMO is practical for large systems since the computation time scales linearly with the number of degrees of freedom 𝒩 (instead of the 𝒩 3 scaling for conventional constrained MD methods). In this paper we generalize the NEIMO formalism to the Nose (and Hoover) thermostat to derive the Nose and Hoover equations of motion for constrained canonical ensemble molecular dynamics. We also examined the optimum mass, Q, determining the time scale (τs) for exchange of energy with the heat bath for NEIMO−Hoover dynamics of polymers. We carried out NEIMO−Hoover simulations on the amorphous polymers poly(vinyl chloride) and poly(vinylidene fluoride), where we find that time steps of 20−30 fs lead to stable dynami.
Locus of orthographic facilitation effect in spoken word production: Evidence from cantonese Chinese

Previous research of picture naming in a picture-word interference paradigm has demonstrated independent facilitative effects of orthographic and phonological similarity in Chinese, as homophonous characters can be visually dissimilar. This study investigated the locus of orthographic priming in Chinese and assessed the hypothesis that the effect can be in part semantically based, through manipulating the extent of orthographic and semantic relatedness between target-distractor characters. Our findings replicated previous results of independent orthographic facilitation and semantic interference, as well as different time courses of these effects. More importantly, we observed longer naming latencies when the distractor was both semantically and orthographically related to the target compared with orthographically similar distractors, and an interaction between semantic and orthographic similarity. These findings suggest that orthographic facilitation on picture naming in Chinese is located at the semantic or the lemma level.
Algebraic Geometry and Physics

This article is an interdisciplinary review and an on-going progress report over the last few years made by myself and collaborators in certain fundamental subjects on two major theoretic branches in mathematics and theoretical physics: algebraic geometry and quantum physics. I shall take a practical approach, concentrating more on explicit examples rather than formal developments. Topics covered are divided in three sections: (I) Algebraic geometry on two-dimensional exactly solvable statistical lattice models and its related Hamiltonians: I will report results on the algebraic geometry of rapidity curves appeared in the chiral Potts model, and the algebraic Bethe Ansatz equation in connection with quantum inverse scattering method for the related one-dimensional Hamiltonion chain, e.g., XXZ, Hofstadter type Hamiltonian. (II) Infinite symmetry algebras arising from quantum spin chain and conformal field theory: I will explain certain progress made on Onsager algebra, the relation with the superintegrable chiral Potts quantum chain and problems on its spectrum. In conformal field theory, mathematical aspects of characters of N=2 superconformal algebra are discussed, especially on the modular invariant property connected to the theory. (III). Algebraic geometry problems on orbifolds stemming from string theory: I will report recent progress on crepant resolutions of quotient singularity of dimension greater than or equal to three. The direction of present-day research of engaging finite group representations in the geometry of orbifolds is briefly reviewed, and the mathematical aspect of various formulas on the topology of string vacuum will be discussed.
The Impacts of Religious Discrimination Towards Anxiety in Diverse Populations

The Impacts of Religious Discrimination Towards Anxiety in Diverse Populations by Sharlaine M. Ortiz-Díaz MS, Walden University, 2015 BA, University of Puerto Rico at Mayagüez, 2012 AAS, Cochise College, Douglas Campus at Ft. Huachuca, 2010 Dissertation Submitted in Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy Clinical Psychology Forensic Psychology Walden University January 2018
Oscillatory patterns in temporal lobe reveal context reinstatement during memory search

Psychological theories of memory posit that when people recall a past event, they not only recover the features of the event itself, but also recover information associated with other events that occurred nearby in time. The events surrounding a target event, and the thoughts they evoke, may be considered to represent a context for the target event, helping to distinguish that event from similar events experienced at different times. The ability to reinstate this contextual information during memory search has been considered a hallmark of episodic, or event-based, memory. We sought to determine whether context reinstatement may be observed in electrical signals recorded from the human brain during episodic recall. Analyzing electrocorticographic recordings taken as 69 neurosurgical patients studied and recalled lists of words, we uncovered a neural signature of context reinstatement. Upon recalling a studied item, we found that the recorded patterns of brain activity were not only similar to the patterns observed when the item was studied, but were also similar to the patterns observed during study of neighboring list items, with similarity decreasing reliably with positional distance. The degree to which individual patients displayed this neural signature of context reinstatement was correlated with their tendency to recall neighboring list items successively. These effects were particularly strong in temporal lobe recordings. Our findings show that recalling a past event evokes a neural signature of the temporal context in which the event occurred, thus pointing to a neural basis for episodic memory.
Inhibition of Alpha/Beta Interferon Signaling by the NS4B Protein of Flaviviruses

ABSTRACT Flaviviruses are insect-borne, positive-strand RNA viruses that have been disseminated worldwide. Their genome is translated into a polyprotein, which is subsequently cleaved by a combination of viral and host proteases to produce three structural proteins and seven nonstructural proteins. The nonstructural protein NS4B of dengue 2 virus partially blocks activation of STAT1 and interferon-stimulated response element (ISRE) promoters in cells stimulated with interferon (IFN). We have found that this function of NS4B is conserved in West Nile and yellow fever viruses. Deletion analysis shows that that the first 125 amino acids of dengue virus NS4B are sufficient for inhibition of alpha/beta IFN (IFN-α/β) signaling. The cleavable signal peptide at the N terminus of NS4B, a peptide with a molecular weight of 2,000, is required for IFN antagonism but can be replaced by an unrelated signal peptide. Coexpression of dengue virus NS4A and NS4B together results in enhanced inhibition of ISRE promoter activation in response to IFN-α/β. In contrast, expression of the precursor NS4A/B fusion protein does not cause an inhibition of IFN signaling unless this product is cleaved by the viral peptidase NS2B/NS3, indicating that proper viral polyprotein processing is required for anti-interferon function.
The Impact of Resource Input Model of Education Quality on the Overall Students’ Perceived Service Quality

Students’ retention and their academic performance are influenced by the service quality provided by higher education institutions (Sander, Stevenson, King and Coates, 2000). As such, it is vital to identify the determinants of the overall students’ perceived service quality. The aim of this research is to evaluate and validate the determinants of the overall students’ perceived service quality in a private higher education institution in Malaysia, based on the combination of both the ‘inside-out’ and ‘outside-in’ approaches as well as the resource input model of education quality. A total of 458 undergraduate business students from a private university in Malaysia participated in this research. The findings revealed that contact personnel, access to facilities, cost of courses offered, physical facilities of the tertiary institution and resource input model of education quality were positively related to the overall students’ perceived service quality. Keywords: service quality; education quality; perceived service quality Resume: La memoire et la performance scolaire des etudiants sont influencees par la qualite des services fournis par les etablissements d'enseignement superieur (Sander, Stevenson, King and Coates, 2000). Il est donc important d'identifier les determinants de la qualite de l'ensemble des services percue par les etudiants. Le objectif de cette recherche est d'evaluer et de valider les determinants de la qualite de l'ensemble des services percue par les etudiants dans un etablissement d'enseignement superieur prive en Malaisie. Cette recherche est basee sur la combinaison de deux approches "inside-out" et "outside-in", ainsi que le modele d'entree de ressources de la qualite de l'education. Un total de 458 etudiants de premier cycle d'une universite privee en Malaisie ont participe a cette recherche. Les resultats ont revele que le personnel de contact, l'acces aux installations, le cout des cours offerts, les installations physiques de l'etablissement d'enseignement superieur et le modele d’entrees de ressources de la qualite de l'education sont positivement lies a la qualite de l’ensemble des services percue par les etudiants.Mots-cles: qualite de service; qualite de l'education; qualie de service percue
Model Reduction via the Karhunen-Loeve Expansion Part II: Some Elementary Examples

In Part II of this paper we present some elementary examples of distributed parameter system model reduction using the techniques described in Part I. In particular, we focus on using the Karhunen-Loeve expansion and Galerkin’s method to formulated reduced order models for a heat diffusion system and temperature field dynamics in a Rapid Thermal Chemical Vapor Deposition reactor. Simulation results are presented.
Two Operations of Merging and Splitting Components in a Chain Graph

In this paper we study two operations of merging components in a chain graph, which appear to be elementary operations yielding an equivalent graph in the respective sense. At first, we recall basic results on the operation of feasible merging components, which is related to classic LWF (Lauritzen, Wermuth and Frydenberg) Markov equivalence of chain graphs. These results are used to get a graphical characterisation of factorisation equivalence of classic chain graphs. As another example of the use of this operation, we derive some important invariants of LWF Markov equivalence of chain graphs. Last, we recall analogous basic results on the operation of legal merging components. This operation is related to the so-called strong equivalence of chain graphs, which includes both classic LWF equivalence and alternative AMP (Andersson, Madigan and Perlman) Markov equivalence.
Efektivitas Afirmasi Positif dan Stabilisasi Dzikir Vibrasi sebagai Media Terapi Psikologis untuk Mengatasi Kecemasan pada Komunitas Pasien Hemodialisa

Kesehatan mental merupakan kondisi kesejahteraan emosional seseorang yang harus senantiasa ditingkatkan sehingga memberikan kelangsungan hidup yang bermakna. Kesehatan mental merupakan proses kesehatan yang berkelanjutan. Adanya kolaborasi kesehatan jasmani yang selaras akan menunjang kesehatan mental yang optimal. Dalam hal ini, seseorang yang memiliki kesehatan mental yang baik mampu mengelola permasalahan psikologis seperti stres, kecemasan dan depresi. Pada penelitian ini, permasalahan psikologis yang dirasakan pasien gagal ginjal yaitu kecemasan karena gagal ginjal merupakan penyakit terminal sehingga membuat pasien harus menjalani serangkaian prosedur terapi hemodialisa (cuci darah). Penelitian ini bertujuan untuk mengetahui efektivitas afirmasi positif dan stabilisasi dzikir vibrasi sebagai media terapi psikologis untuk mengatasi kecemasan pada pasien hemodialisa. Metode yang digunakan adalah pre experimental one group pre and post test design. Hasil penelitian menunjukkan enam orang pasien hemodialisa yang mendapatkan intervensi afirmasi positif dan stabilisasi dzikir vibrasi mengalami penurunan kecemasan, sedangkan satu orang pasien mengalami peningkatan kecemasan. Kondisi tersebut disebabkan karena pasien kurang aktif dalam mempraktekkan terapi stabilisasi dzikir vibrasi secara konsisten di rumah.
An investigation of cooling flows and general cluster properties from an X-ray image deprojection analysis of 207 clusters of galaxies

We present an X-ray image deprojection analysis of Einstein Observatory imaging data on 207, clusters of galaxies. The resulting radial profiles for luminosity, temperature, and electron density variations are determined from the cluster surface-brightness profiles according to gravitational potential constraints from average Tx and Vopt observations. This enables us to determine cooling-flow and other cluster properties, such as baryon fractions, S-Z microwave decrements, and Thomson depths. We have compiled a catalogue of the detected cooling flows, and investigated their effects on general cluster properties. Self-consistent correlations between the cluster X-ray luminosity, temperature, and optical velocity-dispersion, are determined accounting for errors in both dimensions of the data. These fits indicate that the temperatures of clusters are isothermal and that they have spectral beta-values consistent with unity. We find that the X-ray Lx, Tx, and optical Vopt relations depend significantly on the cooling flow mass-deposition rate, through differences in the density profiles. Clusters of similar mass-deposition rate exhibit self-similar density profiles, with larger cooling flows showing higher central densities. This leads to scatter in the Lx related correlations within the Lx, Tx and Vopt plane. The segregation in density leads to dispersion in `half-light radii' and baryon fractions. The baryon fraction in the cores of cooling flow clusters appears to be higher, but all clusters appear to rise to a concordant value of greater than 10 percent at 1 Mpc. Thus, clusters are inconsistent with primordial nucleosynthesis baryon fraction, for a flat Universe, of 6 percent.
Research of Congestion Control in Wireless Video Transmission

With the development of the wireless communications technology and the multimedia technology, the wireless internet multimedia transport of real-time becomes an important applications field. We will meet a problem that the distinguish of the status of package loss is not very good which will affect the QoS when we transport multimedia data in wireless internet. Based on this problem the article comes up with a new algorithm which is named LDA(Loss Detection Algorithm). The algorithm utilizes the delay from transmitting end to receiving end to distinguish the status of package loss and use the simulation software NS2 to build a platform for analog video. Through it, we can confirm the performance of the TFRC which is improved has bigger progress.
Diffuse Large B-Cell Lymphoma of the Frontal Sinus Presenting as a Pott Puffy Tumor: Case Report

Abstract Objective Sinonasal non-Hodgkin lymphoma (NHL) is a very rare condition. NHL located specifically in the frontal sinus is even rarer with only 14 cases in the literature reported to date. A unique case of diffuse large B-cell lymphoma of the frontal sinus that presented first and was treated as suspected Pott puffy tumor is presented along with a review of the literature. Case Report A 69-year-old white man with a history of sinusitis and two recent endoscopic sinus surgeries presented with enlargement of his right forehead. Computed tomography and magnetic resonance images revealed a dense opacification of the frontal sinus bilaterally, thickening and enhancement of the dura mater behind the right frontal sinus, and local osteomyelitis-like lytic bone changes. A bifrontal craniotomy was performed. Radical exoneration of the frontal sinus, copious antibiotic-impregnated irrigation after culture swabs, and resection of presumed granulation tissue was performed. Culture swabs remained negative, but histopathology revealed diffuse large B-cell lymphoma. Subsequent chemotherapy was administered. Conclusion Sinonasal NHL is very rare but can occur in the frontal sinus and may present as a suspected Pott puffy tumor. A high clinical suspicion is necessary for early diagnosis and treatment.