Miracle-dz/UniFAR-FTUs huggingface dataset:
Clustering algorithms for wireless sensor networks using spatial data correlation

In densely deployed wireless sensor networks, spatial data correlations are introduced by the observations of multiple spatially proximal sensor nodes on a same phenomenon or event. These correlations bring significant potential advantages for the development of efficient strategies for reducing energy consumption. In this paper, spatial data correlations are exploited to group sensor nodes into clusters of high data aggregation efficiency. We define the problem of selecting the set of cluster heads as the weighted connected dominating set problem. Then we develop a set of centralized and distributed algorithms to select the cluster heads. Simulation results demonstrate the effectiveness and efficiency of the designed algorithms.
Factors Influencing Depression and Anxiety among Black Sexual Minority Men

The primary aim of this study was to examine the relationships between depression and anxiety, and ethnic and sexual identity development, and discrimination and harassment (DH) among Black sexual minority men. Additional aims were to determine whether an interaction effect existed between ethnic and sexual identity and whether coping skills level moderated these relationships. Using an observational cross-sectional design, 54 participants recruited through snowball sampling completed self-administered online surveys. Stepwise multiple regression analysis was used. Sixty-four percent of the variance in depression scores and 53% of the variance in anxiety scores were explained by DH and internalized homonegativity together. Thirty percent of the sample had scale scores indicating likelihood of depression and anxiety. Experience of DH and internalized homonegativity explained a large portion of the variability in depression and anxiety among Black sexual minority men. The study showed high prevalence of mental distress among this sample.
INESC, Porto at TRECVID 2007: Automatic and Interactive Video Search

The INESC Porto group has participated in the search task (automatic and interactive). Our approach combines high-level features (the 39 concepts of the LSCOM-Lite set) with low-level features. We use a large set of low-level features with the intention of analysing as many facets as possible of each shot. The aggregation of large feature sets can be time consuming as it needs to be done at query time. We have developed the BitMatrix indexing method to speed up the search process. For each shot, binary signatures in the form of bit sequences are obtained in an o -line process. At query time, the query bit signature is compared to each of the shots signatures. The automatic run performs above the median, in spite of not using any classi er or any other knowledge sources except the translation of the query into LSCOM-Lite concepts.
Peer victimization and depression in Greek preadolescents: Personality and attachment as moderators

The study examined 2 plausible models of the predictive association between depressive symptoms and peer victimization, both physical and relational, with personality (Big Five), attachment style, and gender as moderators in a nonclinical sample of 282 Greek preadolescents. Results indicated that depressive symptoms, victimization, and Big Five traits were significantly associated. Moderation analyses indicated that only extraversion and perceived secure attachment moderated the relationship between victimization and depression. Preadolescents low on extraversion and those insecurely attached were more vulnerable to the negative effects of victimization on depression. High levels of conscientiousness moderated the negative influences of depression on victimization. Results are discussed in terms of their practical implications.
Eldan's Stochastic Localization and the KLS Hyperplane Conjecture: An Almost Constant Lower Bound for Expansion

We show that the KLS constant for n-dimensional isotropic logconcave measures is n, thus approaching the conjecture that it is O(1). As corollaries we obtain the same almost constant bound on the thin-shell estimate, isotropic constant, Poincaré constant and exponential concentration constant; it also follows that the ball walk for an isotropic logconcave density in Rn, from a warm start, converges in O ( n ) steps.
A lightweight anomaly mining algorithm in the Internet of Things

The security of Internet of Things (IoT) has already become a thorny problem because of opening deployment and limited resources. Thus, as the essential part of intrusion detection anomaly mining gets more and more attention. However, complexity of algorithm is the vital issue due to the specialty of IoT. Meanwhile, traditional methods with Euclidean distance may cause misjudgment at some extent. So this paper proposes a lightweight anomaly mining algorithm which employ Jaccard coefficient firstly as the judging criterion instead of Euclidean distance. The experiment verifies the availability of proposed algorithm.
Shape completion and modeling of 3D foot shape while walking

We developed a technology for creating homologous models of foot shape data obtained from a 4D measurement system. Homologous models consist of the same number of the same topology, and each data point in the model is defined based on the anatomical homology. In the present modeling technology, we use a homologous model using a polyhedral template. By fitting the homologous foot model to data obtained from 4D measurement system, our approach can accomplish homologous modeling for 4D-measured data. We show how the model can be used for shape completion and modeling -generating a complete surface mesh and granting anatomical feature points given a limited set of captured points specifying the target shape. Using principal component analysis (PCA) and posture change, we accomplish homologous modeling for 4D-measured data of human foot shape.
Microarray analysis of gene expression in the aging human retina.

PURPOSE To develop gene expression profiles of young and elderly human retinas and identify candidate genes for aging-associated retinal diseases. METHODS Gene microarray slides containing 2400 human genes (primarily neuronal) were hybridized to biotin or dinitrophenyl (DNP)-labeled target cDNAs that were synthesized using total RNAs from young (13-14 years) and elderly (62-74 years) human retinas. Hybridization signals were visualized with cyanine (Cy)-5 or Cy-3 fluorescent reporter molecules, and the fluorescence intensities of the images were analyzed by computer. Northern blot analysis and real-time quantitative reverse transcription PCR (qRT-PCR) were performed to validate the microarray results. RESULTS Of the 2400 genes represented on the microarray slides, more than 50% hybridized to the retinal cDNA targets. Expression of a majority of these genes was not altered during aging; nonetheless, changes in the expression of 24 genes were detected between young and elderly retinas. These genes could be clustered into four categories: energy metabolism, stress response, cell growth, and neuronal transmission/signaling. Northern blot analysis and qRT-PCR results confirmed the changes in expression of 8 of 10 genes examined. CONCLUSIONS Using commercially available slide microarrays, the authors show that aging of the human retina is associated with changes in patterns of gene expression. This analysis suggests that pathways involved in stress response and energy metabolism play key roles in retinal aging. These studies demonstrate the utility of gene microarrays in identifying global patterns of retinal gene expression and lay the foundation for future studies defining the genetic basis of aging-associated retinal diseases, such as age-related macular degeneration.
COMPUTING COMPLEX SINGULARITIES OF DIFFERENTIAL EQUATIONS WITH CHEBFUN

Given a solution to an ordinary differential equation (ODE) on a time interval, the solution for complex-valued time may be of interest, in particular whether the solution is singular at some complex time value. How can the solution be approximated in the complex plane using only the data on the interval? A polynomial approximation of the solution always fails to capture singularities; to extrapolate solutions with singularities, approximation with rational functions is more appropriate. In this paper, a robust form of rational interpolation and least-squares approximation, due to Pachón, Gonnet et al., is discussed and tested. It is found that the method avoids the issue of spurious poles found by many standard rational approximations, but that it is not suitable when a high degree of accuracy is required.
Data Compression and Hiding Using Advanced SMVQ and Image Inpainting

Data hiding is a process that includes converting the secret data like a video file, an audio file, an image, etc. Into cover data. It is popularly used in various applications like medical fields, military applications, etc. The reversible data hiding is nowadays the most used research area in the field of secret data hiding. In this project, side-match vector quantization and image in painting is used for an integrated data-hiding and compression scheme that is used for digital images. A combined data hiding and compression technique which is based on SMVQ (side-match vector quantization) and image in painting is proposed. Two functions, data hiding and image compression can be integrated into one single code to secure the private data more efficiently.
An HLA-Based Cloud Simulator for Mobile Cloud Environments

Mobile Cloud Computing is a concept infrastructure wherein Cloud Computing resources are utilized to offload tasks from mobile elements. The combination of Cloud Computing and Mobile Computing increases the complexity of modeling and performance evaluation in terms of task scheduling policies, energy consumption model, the mobility of mobile devices over a layered architecture of both local Clouds and remote Cloud data centers. In this paper, a distributed HLA-based Cloud toolkit is proposed, enabling the modeling and simulation of Mobile Cloud Computing environment. The proposed toolkit simulates the behaviors of the Mobile system and the Cloud infrastructure, within which different resource scheduling policies can be evaluated in a repeatable manner. In addition, an HLA-based simulation scheduling scheme is proposed, trying to improve simulation execution efficiency by automatically parallelizing and distributing simulation components. A Cloud-based simulation resource management paradigm is also implemented, handling the configuration and maintenance issues regarding underlying system resources and simulation data. Based on the experiments, the proposed toolkit can achieve better simulation execution efficiency, with consideration of both Cloud and Mobile behaviors, compared to current Cloud Computing environment simulators.
Stroke Modifies Drug Consumption in Opium Addicts: Role of the Insula

Introduction Addiction imposes a large medical, social and economic burden on societies. Currently, there is no effective treatment for addiction. Our struggle to decipher the different mechanisms involved in addiction requires a proper understanding of the brain regions which promote this devastating behavior. Previous studies have shown a pivotal role for insula in cigarette smoking. In this study we investigated the change in opium consumption after CVA. Methods This study took place in three referral academic hospitals affiliated to Tehran University of Medical Sciences. Patients who suffered a CVA and were addicted to opium were recruited during their hospitalization or visit to the neurology clinic in this study. Age, sex and the route and mean amount of opium use of each patient before CVA and 1, 3 and 6 months post-CVA was asked using a questionnaire. The patients were divided into three groups based on the location of brain ischemia (insula, basal ganglia and non-insula non-basal ganglia group). Results Seventy five percent of the patients with ischemia of the insula changed the route or amount of opium use after CVA and 37.5% of them stopped opium use after CVA. These values were significantly higher than patients with non-insula nonbasal ganglia ischemia (p values 0.005 and 0.03 for change in route or amount and stopping opium use, respectively). This was not true in patients with ischemia of the basal ganglia. Younger patients were more likely to change the route or amount of opium use and stop opium use after CVA (p values 0.002 and 0.026, respectively). Discussion The results of the present study indicate a possible role for the insula in opium addiction, especially in younger individuals.
Concave Urinary Crystallines: Direct Evidence of Calcium Oxalate Crystals Dissolution by Citrate In Vivo

The changes in urinary crystal properties in patients with calcium oxalate (CaOx) calculi after oral administration of potassium citrate (K3cit) were investigated via atomic force microscopy (AFM), scanning electron microscopy (SEM), X-ray powder diffractometry (XRD), and zeta potential analyzer. The AFM and SEM results showed that the surface of urinary crystals became concave, the edges and corners of crystals became blunt, the average size of urinary crystallines decreased significantly, and aggregation of urinary crystals was reduced. These changes were attributed to the significant increase in concentration of excreted citrate to 492 ± 118 mg/L after K3cit intake from 289 ± 83 mg/L before K3cit intake. After the amount of urinary citrate was increased, it complexed with Ca2+ ions on urinary crystals, which dissolved these crystals. Thus, the appearance of concave urinary crystals was a direct evidence of CaOx dissolution by citrate in vivo. The XRD results showed that the quantities and species of urinary crystals decreased after K3cit intake. The mechanism of inhibition of formation of CaOx stones by K3cit was possibly due to the complexation of Ca2+ with citrate, increase in urine pH, concentration of urinary inhibitor glycosaminoglycans (GAGs), and the absolute value of zeta potential after K3cit intake.
Singularities of stabilizing feedbacks

assuming that the set of control values K ⊂ m is compact and that the map f : n × m 7→ n is smooth. It is well known [6] that, even if every initial sta te x̄ ∈ n can be steered to the origin by an open-loop control u = ux̄(t), there may not exist a continuous feedback control u = U(x) which locally stabilizes the system (1). One is thus forced t o look for a stabilizing feedback within a class of discontinuous functions. However, this le ads to a theoretical difficulty, because, when the functionU is discontinuous, the differential equation
A cytosolic degradation pathway, prERAD, monitors pre-inserted secretory pathway proteins

ABSTRACT The endoplasmic reticulum (ER) identifies and disposes of misfolded secretory pathway proteins through the actions of ER-associated degradation (ERAD) pathways. It is becoming evident that a substantial fraction of the secretome transiently resides in the cytosol before translocating into the ER, both in yeast and in higher eukaryotes. To uncover factors that monitor this transient cytosolic protein pool, we carried out a genetic screen in Saccharomyces cerevisiae. Our findings highlighted a pre-insertional degradation mechanism at the cytosolic leaflet of the ER, which we term prERAD. prERAD relies on the concurrent action of the ER-localized ubiquitylation and deubiquitylation machineries Doa10 and Ubp1. By recognizing C-terminal hydrophobic motifs, prERAD tags for degradation pre-inserted proteins that have remained on the cytosolic leaflet of the ER for too long. Our discoveries delineate a new cellular safeguard, which ensures that every stage of secretory pathway protein biogenesis is scrutinized and regulated.
Augmenting movement imitation with reflexive stability behavior

Even though humans and a humanoid robots have similar kinematic structures, directly imitating human movement does not guarantee the same behavior of the robot because of their different dynamical properties and perhaps different conditions under which the task is being performed. Our research starts by showing how to apply a generalization algorithm to extract the desired movement primitives from multiple human demonstrations of the same movement. The emphasis of the paper is on a method that constrains the extracted movement primitives when mapping them to a robot, taking into account a critical criterion of the task. As a practical example we study the stability of a robot, which is determined through a normalized zero-moment-point. Our approach is based on prioritized task control and allows direct movement transfer as long as the selected criterion is met. It only constrains the movement when the criterion approaches a critical condition. The critical condition thus triggers a reflexive, subconscious behavior, which has higher priority than the desired, conscious movement. Augmenting movement imitation with the proposed approach allows direct movement imitation, which can be executed on the robot at different ground inclination conditions. We demonstrate the properties of the algorithm on a real, human-inspired leg robot developed in our laboratory.
Faster method for Deep Belief Network based Object classification using DWT

A Deep Belief Network (DBN) requires large, multiple hidden layers with high number of hidden units to learn good features from the raw pixels of large images. This implies more training time as well as computational complexity. By integrating DBN with Discrete Wavelet Transform (DWT), both training time and computational complexity can be reduced. The low resolution images obtained after application of DWT are used to train multiple DBNs. The results obtained from these DBNs are combined using a weighted voting algorithm. The performance of this method is found to be competent and faster in comparison with that of traditional DBNs.
Oracles of Peace: Topic Modeling, Cultural Opportunity, and the Nobel Peace Prize, 1902–2012*

Social movement frames are dynamic, shifting and embedded within an already existent cultural milieu—a milieu that affects mobilization opportunities. In this article, we invoke the concept of the “cultural clearinghouse” to tackle how broader cultural structures translate to frames or influence frame resonance. Our illustrative case, the Nobel Peace Prize, along with our use of topic modeling, a computational technique that identifies commonalities between texts, offer an important methodological advance for social movement scholars interested in culture, frame formation and resonance, and dynamic approaches to social movement discourse. Our findings show how peace discourse—as represented by Peace Prize acceptance speeches—increasingly has become embedded within broader cultural emphases on globalization and neoliberalism, versus earlier Christian and global institutional schemas. We conclude by discussing the usefulness of our conceptual and methodological advance for movement scholars with special att.
FgPrp4 Kinase Is Important for Spliceosome B-Complex Activation and Splicing Efficiency in Fusarium graminearum

PRP4 encodes the only kinase among the spliceosome components. Although it is an essential gene in the fission yeast and other eukaryotic organisms, the Fgprp4 mutant was viable in the wheat scab fungus Fusarium graminearum. Deletion of FgPRP4 did not block intron splicing but affected intron splicing efficiency in over 60% of the F. graminearum genes. The Fgprp4 mutant had severe growth defects and produced spontaneous suppressors that were recovered in growth rate. Suppressor mutations were identified in the PRP6, PRP31, BRR2, and PRP8 orthologs in nine suppressor strains by sequencing analysis with candidate tri-snRNP component genes. The Q86K mutation in FgMSL1 was identified by whole genome sequencing in suppressor mutant S3. Whereas two of the suppressor mutations in FgBrr2 and FgPrp8 were similar to those characterized in their orthologs in yeasts, suppressor mutations in Prp6 and Prp31 orthologs or FgMSL1 have not been reported. Interestingly, four and two suppressor mutations identified in FgPrp6 and FgPrp31, respectively, all are near the conserved Prp4-phosphorylation sites, suggesting that these mutations may have similar effects with phosphorylation by Prp4 kinase. In FgPrp31, the non-sense mutation at R464 resulted in the truncation of the C-terminal 130 aa region that contains all the conserved Prp4-phosphorylation sites. Deletion analysis showed that the N-terminal 310-aa rich in SR residues plays a critical role in the localization and functions of FgPrp4. We also conducted phosphoproteomics analysis with FgPrp4 and identified S289 as the phosphorylation site that is essential for its functions. These results indicated that FgPrp4 is critical for splicing efficiency but not essential for intron splicing, and FgPrp4 may regulate pre-mRNA splicing by phosphorylation of other components of the tri-snRNP although itself may be activated by phosphorylation at S289.
Online Geographical Load Balancing for Energy-Harvesting Mobile Edge Computing

Mobile Edge Computing (MEC) (a.k.a. fog computing) has recently emerged to enable low-latency and location-aware data processing at the edge of mobile networks. Providing grid power supply in support of MEC, however, is costly and even infeasible, thus mandating on-site renewable energy as a major or even sole power supply in many scenarios. Nonetheless, the high intermittency and unpredictability of energy harvesting creates many new challenges of performing effective MEC. In this paper, we develop an algorithm called GLOBE that performs joint geographical load balancing (GLB) (for computation workload) and admission control (for communication data traffic), for optimizing the system performance of a network of MEC-enabled base stations. By leveraging the Lyapunov optimization with perturbation technique, GLOBE operates online without requiring future system information and addresses significant challenges caused by battery state dynamics and energy causality constraints. We prove that GLOBE achieves a close-to-optimal system performance compared to the offline algorithm that knows full future information, and present a critical tradeoff between battery capacity and system performance. Simulation results validate our analysis and demonstrate the superior performance of GLOBE compared to benchmark algorithms.
Performance Analysis of a Power Limited Spectrum Sharing System With TAS/MRC

Capacity of the cognitive radio network degrades due to the interference constraint from the primary network. The secondary network capacity can be enhanced in a cost effective way by means of spatial diversity, that can be achieved by adding multiple antennas on the secondary network terminals and performing antenna selection. In this paper, the performance of a multiple-input multiple-output (MIMO) secondary link with transmit antenna selection (TAS) at the transmitter and maximum ratio combining (MRC) at the receiver is analyzed. A peak transmit power constraint at the secondary transmitter is considered in addition to the interference power constraint and two scenarios are considered; 1) the MIMO cognitive system with TAS/MRC (MCS-TM) does not experience interference from the primary network (denote by MCS-TM-NI), and 2) MCS-TM does experience interference from the primary network (denote by MCS-TM-WI). The performance of both MCS-TM-NI and MCS-TM-WI is analyzed and, for a Rayleigh faded channel, closed-form expression for the outage probability is derived. In addition, closed-form expressions of the moment generating function, the symbol error rate and the ergodic capacity are obtained for the MCS-TM-NI. Asymptotic performance analysis of the MCS-TM-NI reveals that TAS/MRC in a MIMO cognitive system achieves a generalized diversity gain equal to the product of the number of transmit and receive antennas. Numerical results are also presented to corroborate the derived analytical results.