Miracle-dz/UniFAR-FTUs huggingface dataset:
A Deformable Semantic Network as a Tool for Context-Based Ambiguity Resolution

Ambiguity resolution is one of the primary challenges in natural language processing. We present a modified semantic network as a tool for performing ambiguity resolution based on context. The mechanisms used in this architecture resemble neurological processes responsible for the phenomenon of priming in humans. Three sentences, representing unique grammatical ambiguities, are placed in different contexts to analyze the behavior of the network. The results indicate that this approach has the potential for further application in problems where adaptation to context, or the surrounding environment, is critical.
Cooperative round robin multiple access networks for joint rate and QOS enhancement

While almost all cooperative studies focus on the rate increase that relaying networks provide to the system, this paper shows the benefit of cooperation in terms of two potential quality of service (QoS) system measures: fairness and delay. A cooperative multiple-access channel (MAC) protocol is proposed based on round robin scheduling. With it, network users share an aggregate channel behaviour, which is shown to increase their QoS performance. The joint system improvement of rate and QoS is tested under two different cooperative approaches: amplify and forward (A&F) and partial decode and forward (PD&F).
Modulation of Drug Effects by Regional Sympathetic Denervation and Supersensitivity

BackgroundRegional sympathetic denervation, such as that produced by a myocardial infarction, causes electrophysiological heterogeneity in the ventricles. The purpose of this study was to test the hypothesis that such denervation could cause drugs to exert heterogeneous myocardial effects. Methods and ResultsSympathetic stimulation increases the amplitude of cesium chlorideinduced early afterdepolarizations (EADs). The amplitude of these induced EADs was used to determine whether drug responses were different in innervated versus denervated areas of the heart. A canine model of sympathetic denervation was created at the cardiac apex by either transmural myocardial infarction (n = 19) or phenol application (n = 11). Cesium chloride (84 mg/kg) was infused while monophasic action potential recordings were simultaneously obtained from the base and apex of the left ventricle using an epicardial contact electrode. We found that control (innervated) dogs (n = 17) showed no difference in the EAD amplitude recorded from the apex compared with the base. In dogs with apical sympathetic denervation, the EAD amplitude was greater at the innervated base during ansae subclaviae stimulation than at the denervated apex (25.8 + 6.6% at base versus 18.8 ± 6.7% at apex, p < 0.001). However, during norepinephrine infusion, the EADs recorded from the denervated apex were greater than those recorded from the innervated base (23.3 ± 7.6% at apex versus 20.6 + 6.90% at base, p < 0.02) due to denervation supersensitivity. ConclusionsThese data show that regional myocardial denervation creates autonomic and electrophysiological heterogeneity and the substrate for heterogeneous drug actions. This drug-induced electrophysiological heterogeneity may be another mechanism for proarrhythmia.
Low-loss LTCC cavity filters using system-on-package technology at 60 GHz

In this paper, three-dimensional (3-D) integrated cavity resonators and filters consisting of via walls are demonstrated as a system-on-package compact solution for RF front-end modules at 60 GHz using low-temperature cofired ceramic (LTCC) technology. Slot excitation with a /spl lambda/g/4 open stub has been applied and evaluated in terms of experimental performance and fabrication accuracy and simplicity. The strongly coupled cavity resonator provides an insertion loss <0.84 dB, a return loss >20.6 dB over the passband (/spl sim/0.89 GHz), and a 3-dB bandwidth of approximately 1.5% (/spl sim/0.89 GHz), as well as a simple fabrication of the feeding structure (since it does not require to drill vias to implement the feeding structure). The design has been utilized to develop a 3-D low-loss three-pole bandpass filter for 60-GHz wireless local area network narrow-band (/spl sim/1 GHz) applications. This is the first demonstration entirely authenticated by measurement data for 60-GHz 3-D LTCC cavity filters. This filter exhibits an insertion loss of 2.14 dB at the center frequency of 58.7 GHz, a rejection >16.4 dB over the passband, and a 3-dB bandwidth approximately 1.38% (/spl sim/0.9 GHz).
Shift-invariant dictionary learning for sparse representations: Extending K-SVD

Shift-invariant dictionaries are generated by taking all the possible shifts of a few short patterns. They are helpful to represent long signals where the same pattern can appear several times at different positions. We present an algorithm that learns shift invariant dictionaries from long training signals. This algorithm is an extension of K-SVD. It alternates a sparse decomposition step and a dictionary update step. The update is more difficult in the shift-invariant case because of occurrences of the same pattern that overlap. We propose and evaluate an unbiased extension of the method used in K-SVD, i.e. a method able to exactly retrieve the original dictionary in a noiseless case.
CSMA/CA channel synchronization using semaphore

Data collision in a channel leads to channel synchronization problem, which may arise due to the existence of hidden terminal node. CSMA, TDMA, ALOHA and many more protocols provide help to channel synchronization. Semaphore is a tool which deals with synchronization problem and can be used to provide channel synchronization in a communication link. In this paper a hybrid CSMA/CA-Semaphore approach is introduced to provide channel synchronization. As soon as the node gets access to the channel, it transmits its packet according to CSMA/CA protocol. This approach helps in reducing the total collisions and results in increasing the total efficiency.
Collaborative filtering with short term preferences mining

Recently, recommender systems have fascinated researchers and benefited a variety of people's online activities, enabling users to survive the explosive web information. Traditional collaborative filtering techniques handle the general recommendation well. However, most such approaches usually focus on long term preferences. To discover more short term factors influencing people's decisions, we propose a short term preferences model, implemented with implicit user feedback. We conduct experiments comparing the performances of different short term models, which show that our model outperforms significantly compared to those long term models.
Dynamic feature-adaptive subdivision

Feature-adaptive subdivision (FAS) is one of the state-of-the art real-time rendering methods for subdivision surfaces on modern GPUs. It enables efficient and accurate rendering of subdivision surfaces in many interactive applications, such as video games or authoring tools. In this paper, we present dynamic feature-adaptive subdivision (DFAS), which improves upon FAS by enabling an independent subdivision depth for every irregularity. Our subdivision kernels fill a dynamic patch buffer on-the-fly with the appropriate number of patches corresponding to the chosen level-of-detail scheme. By reducing the number of generated and processed patches, DFAS significantly improves upon the performance of static FAS.
A Collaborative Filtering Approach for Protein-Protein Docking Scoring Functions

A protein-protein docking procedure traditionally consists in two successive tasks: a search algorithm generates a large number of candidate conformations mimicking the complex existing in vivo between two proteins, and a scoring function is used to rank them in order to extract a native-like one. We have already shown that using Voronoi constructions and a well chosen set of parameters, an accurate scoring function could be designed and optimized. However to be able to perform large-scale in silico exploration of the interactome, a near-native solution has to be found in the ten best-ranked solutions. This cannot yet be guaranteed by any of the existing scoring functions. In this work, we introduce a new procedure for conformation ranking. We previously developed a set of scoring functions where learning was performed using a genetic algorithm. These functions were used to assign a rank to each possible conformation. We now have a refined rank using different classifiers (decision trees, rules and support vector machines) in a collaborative filtering scheme. The scoring function newly obtained is evaluated using 10 fold cross-validation, and compared to the functions obtained using either genetic algorithms or collaborative filtering taken separately. This new approach was successfully applied to the CAPRI scoring ensembles. We show that for 10 targets out of 12, we are able to find a near-native conformation in the 10 best ranked solutions. Moreover, for 6 of them, the near-native conformation selected is of high accuracy. Finally, we show that this function dramatically enriches the 100 best-ranking conformations in near-native structures.
Protective Effects of Acupuncture Against Gentamicin-Induced Ototoxicity in Rats: Possible Role of Neurotrophin-3

Background The aim of this study was to investigate the protective effects of acupuncture against gentamicin-induced ototoxicity and explore the possible protective role of neurotrophin-3 (NT-3). Material/Methods Twenty-four rats were divided randomly into 4 groups: control group, gentamicin group, neitinggong group, and tinggong group. Rats in the gentamicin, neitinggong, and tinggong groups received intraperitoneal injection of gentamicin (100 mg/kg) for 14 consecutive days. Rats in the neitinggong and tinggong groups further received acupuncture at neitinggong or tinggong acupoints once every 2 days for 20 days. Rats in the control group received intraperitoneal injection of saline. Auditory brainstem response (ABR) was tested in all rats on the day before treatment (day 0), and again on day 14 and day 20 to determine the average threshold value of ABR for each treatment group. The expression of NT-3 in the cochlear nucleus and the inferior colliculus nucleus were detected by immunohistochemical staining. Results The average threshold value of ABR was significantly higher in the gentamicin group as compared with that of the control group on day 14 (P<0.05). On day 20, the average threshold values of ABR in the neitinggong and tinggong groups were significantly lower than that of the gentamicin group (P<0.05). No statistically significant differences in NT-3 expression in the cochlear nucleus were observed among the groups (P>0.05). However, the expression of NT-3 in the inferior colliculus nucleus in both the neitinggong and tinggong groups was significantly higher than that of the gentamicin group (P<0.01). Conclusions A decrease in NT-3 expression in the inferior colliculus nucleus may contribute to gentamicin-induced ototoxicity in rats. Acupuncture at neitinggong or tinggong acupoints effectively improved hearing, which was attributed partially to the rescue of NT-3 expression in the inferior colliculus nucleus. Therefore, preserving NT-3 expression in the auditory system may be a viable strategy to counteract gentamicin-induced ototoxicity.
Canonical Correlation Analysis for Gene-Based Pleiotropy Discovery

Genome-wide association studies have identified a wealth of genetic variants involved in complex traits and multifactorial diseases. There is now considerable interest in testing variants for association with multiple phenotypes (pleiotropy) and for testing multiple variants for association with a single phenotype (gene-based association tests). Such approaches can increase statistical power by combining evidence for association over multiple phenotypes or genetic variants respectively. Canonical Correlation Analysis (CCA) measures the correlation between two sets of multidimensional variables, and thus offers the potential to combine these two approaches. To apply CCA, we must restrict the number of attributes relative to the number of samples. Hence we consider modules of genetic variation that can comprise a gene, a pathway or another biologically relevant grouping, and/or a set of phenotypes. In order to do this, we use an attribute selection strategy based on a binary genetic algorithm. Applied to a UK-based prospective cohort study of 4286 women (the British Women's Heart and Health Study), we find improved statistical power in the detection of previously reported genetic associations, and identify a number of novel pleiotropic associations between genetic variants and phenotypes. New discoveries include gene-based association of NSF with triglyceride levels and several genes (ACSM3, ERI2, IL18RAP, IL23RAP and NRG1) with left ventricular hypertrophy phenotypes. In multiple-phenotype analyses we find association of NRG1 with left ventricular hypertrophy phenotypes, fibrinogen and urea and pleiotropic relationships of F7 and F10 with Factor VII, Factor IX and cholesterol levels.
Modeling Agents and their Environment: The Communication Environment

Without an environment, an agent is effectively useless. Cut off from the rest of its world, the agent can neither sense nor act. An environment provides the conditions under which an entity (agent or object) can exist. It defines the properties of the world in which an agent will function. Designing effective agents requires careful consideration of both the physical and communicational aspects of their environment. This second part of this paper and deals with the communication environment.
Transformational Software Evolution by Assertions

This paper explores the use of software transformations as a formal foundation for software evolution. More precisely, we express software transformations in terms of assertions (preconditions, postconditions and invariants) on top of the formalism of graph rewriting. This allows us to tackle scalability issues in a straightforward way. Useful applications include: detecting syntactic merge conflicts, removing redundancy in a transformation sequence, factoring out common subsequences, etc.
Reproductive Biology and Endocrinology Open Access Distribution and Hormonal Regulation of Membrane Progesterone Receptors Β and Γ in Ciliated Epithelial Cells of Mouse and Human Fallopian Tubes

Background: The controlled beating of cilia of the fallopian tube plays an important role in facilitating the meeting of gametes and subsequently transporting the fertilized egg to its implantation site. Rapid effects of progesterone on ciliary beat frequency have been reported in the fallopian tubes of cows, but the identity of the receptors mediating this non-genomic action of progesterone is not known. We recently identified a member of the non-genomic membrane progesterone receptor family, mPR gamma, as a candidate for mediating these actions of progesterone. Here, we investigated the possible presence of a related receptor, mPR beta, in the fallopian tubes of mice and women as well as the possible hormonal regulation of mPR beta and gamma.
BERUBAH, SIAPA TAKUT? PENGARUH EFIKASI DIRI TERHADAP KESIAPAN UNTUK BERUBAH PADA KARYAWAN DI PT TP TANGERANG

Perubahan organisasi dilakukan untuk meningkatkan efektivitas dan efisiensi perusahaan, namun seringkali menghadapi penolakan. PT TP yang akan mengimplementasikan program perubahan organisasi berupa reengineering, restruksturisasi, dan downsizing menghadapi tantangan yang penolakan perubahan. Sikap yang ditampilkan karyawan terhadap perubahan terkait erat dengan kesiapan karyawan tersebut untuk berubah. Semakin tinggi kesiapan untuk berubah maka semakin tinggi penerimaan dan partisipasi dalam perubahan. Secara teoritis, kesiapan untuk berubah adalah sejauh mana individu secara mental, psikologis, atau fisik siap untuk berpartisipasi dalam kegiatan pengembangan organisasi. Kesiapan untuk berubah dipengaruhi oleh berbagai hal, salah satunya adalah efikasi diri. Tujuan dari penelitian ini adalah untuk mengetahui seberapa besar sumbangan efikasi diri terhadap kesiapan untuk berubah pada karyawan PT TP. Metode yang digunakan adalah metode kuantitatif dengan menggunakan instrument berupa Skala Efikasi Diri dan Skala Kesiapan untuk Berubah. Sampel dalam penelitian ini berjumlah 68 responden yang berasal dari karyawan level jabatan manajerial dan level staff. Hasil analisis regresi linier menunjukkan bahwa efikasi diri memberikan sumbangan sebesar 14.4% terhadap kesiapan untuk berubah. Analisis tambahan yang dilakukan menunjukkan bahwa karyawan dengan level jabatan manajerial memiliki kesiapan untuk berubah yang lebih tinggi daripada karyawan level staff. Di sisi lain, karyawan dari departemen gudang memiliki efikasi diri paling tinggi dibandingkan karyawan dari departemen lain.
Measuring the Degree of Modularity from Gene Expression Noise in Gene Regulatory Circuits

Gene regulatory circuits show significant stochastic fluctuations in their circuit signals due to the low copy number of transcription factors. When a gene circuit component is connected to an existing circuit, the dynamic properties of the existing circuit can be affected by the connected component. In this paper, we investigate modularity in the dynamics of the gene circuit based on stochastic fluctuations in the circuit signals. We show that the noise in the output signal of the existing circuit can be affected significantly when the output is connected to the input of another circuit component. More specifically, the output signal noise can show significantly longer correlations when the two components are connected. This equivalently means that the noise power spectral density becomes narrower. We define the relative change in the correlation time or the spectrum bandwidth by stochastic retroactivity, which is shown to be directly related to the retroactivity defined in the deterministic framework by del Vecchio et al. This provides an insight on how to measure retroactivity, by investigating stochastic fluctuations in gene expression levels, more specifically, by obtaining an autocorrelation function of the fluctuations. We also provide an interesting aspect of the frequency response of the circuit. We show that depending on the magnitude of operating frequencies, different kinds of signals need to be preferably chosen for circuit description in a modular fashion: at low enough frequency, expression level of transcription factor that are not bound to their specific promoter region needs to be chosen, and at high enough frequency, that of the total transcription factor, both bound and unbound, does.
The link Transmission Model: an efficient implementation of the Kinematic Wave Theory in Traffic Networks : Advanced OR and AI Methods in Transportation

This paper describes a numerical solution method for a dynamic network loading model that is consistent with the first order kinematic wave theory. The proposed procedure, called link transmission model (LTM), only requires calculations at network nodes. Compared to the cell transmission model (CTM), the computational complexity of the LTM is about n times smaller for the same level of accuracy, where n is the mean amount of cells in a homogeneous network link.
Economic Power Dispatch Using Fuzzy-Genetic Algorithm

This paper presents a new approach for solving the optimal power flow problem. In this approach we propose to use fuzzy logic techniques to dynamically control parameter settings of genetic algorithms (GA’s). We describe the Dynamic Parametric GA: a GA that uses a fuzzy knowledgebased system to control GA parameters such as the mutation and the crossover probability. We then introduce a technique for automatically design and tune the fuzzy knowledgebase system using GA’s. The proposed method was applied to a practical 14-bus system to show its feasibility and capabilities. The numerical and graphical results show that the proposed approach is faster and more robust than the GA’s.
Psychology, Political Ideology, and Humor Appreciation: Why Is Satire So Liberal?

This project explores how appreciation for, and comprehension of, ironic and exaggerated satire is related to political ideology. Drawing upon literature from communication, political psychology, and humor research, we explain how the psychological profiles of conservatives may render them less motivated to process and appreciate certain forms of humor compared to liberals. We test these propositions with an experiment that employs a two condition within-subjects experiment on a national sample (N = 305) to assess appreciation and comprehension of ironic and exaggerated humor among liberals and conservatives. Mediating effects of psychological traits are tested. Findings suggest that conservatives are less appreciative of both irony and exaggeration than liberals. In both cases, the effect is explained in part by lower sense of humor and need for cognition found among conservative participants. Results are explored in terms of the implications for political discourse, political polarization, and democratic practices.
Annotating with light for remote guidance

This paper presents a system that will support a remote guidance collaboration, in which a local expert guides a remotely located assistant to perform physical, three-dimensional tasks. The system supports this remote guidance by allowing the expert to annotate, point at and draw upon objects in the remote location using a pen and tablet-based interface to control a laser projection device. The specific design criteria for this system are drawn from a tele-health scenario involving remote medical examination of patients and the paper presents the software architecture and implementation details of the associated hardware. In particular, the algorithm for aligning the representation of the laser projection over the video display of the remote scene is described. Early evaluations by medical specialists are presented, the usability of the system in laboratory experiments is discussed and ideas for future developments are outlined.
On the optimization of hybrid Raman/erbium-doped fiber amplifiers

A comprehensive theoretical study on the optimal configuration of hybrid Raman/erbium-doped fiber amplifiers has been carried out yielding a closed form analysis. In order to compare different system configurations, a weight for the impact of fiber nonlinearities has been introduced. The maximum reachable distance has been evaluated as a function of the span length and nonlinear weight, given a target optical signal-to-noise ratio.