Miracle-dz/UniFAR-FTUs huggingface dataset:
Transactional event profiling in a best-effort hardware transactional memory system

Blue Gene/Q's (BG/Q) unique transactional memory system provides hardware isolation, atomicity and consistency for memory locations while leaving the details of the transactional programming system to software layers above the hardware [3]. This design allows for complex systems implemented as part of the software runtime. Here a profiling extension to the software runtime is presented.
Study and Improvement of Robustness of Overlay Networks

The heterogeneity present in the real-world networks like peer-to-peer networks make them particularly vulnerable to attacks as large-scale cascade may be triggered by disabling a set of key nodes. In addition to this vulnerability towards dynamic events, real world networks react quite strongly towards certain types of attacks which may adversely affect their static properties. This brings an obvious concern for the security and robustness of these systems. In this paper, we present empirical results that show how robustness of overlay networks, measured in terms of different parameters like size of largest connected component, number of components and diameter, can be improved by applying various edge modification schemes. We also consider the dynamic effect of node removal along with its static impact on the network.
Application of computer vision methods to estimate the coverage of peen formed plates

AbstrAct Purpose: this paper aims to present a simple method that allows for a systematic estimation of coverage of peen aluminum workpiece submitted to a peen form process. Design/methodology/approach: This approach is based on the application of computer vision techniques for segmenting amplified images of the shot peening processed surface. The work has employed two combined methods of image segmentation – inductive algorithm generated rule segmentation and a multiagent segmentation system. Findings: The two combined methods of image segmentation has allowed for an estimation of low coverage plates as well as done by human expert. Furthermore a model of the spatial shot distribution was also achieved. Research limitations/implications: The surrogated method is suitable for plates with relative low coverages, circa 50 %. Originality/value: The model can be regarded as useful by acelerating the coverage evaluation in comparison with conventional industrial approach. Application of computer vision methods to estimate the coverage of peen formed plates, Journal of Achievements in Materials and Manufacturing Engineering 43/2 (2010) 743-749.
What we learn about babies from engaging their emotions

To know what a baby feels or thinks, we must engage with her, allowing ourselves to feel the sympathetic response that the other’s actions and feelings invite. This article (Zero to Three, Volume 24, Number 3) explores how engagement allows a richer, more useful interpretation of infant behavior than does detached observation. Engaging with babies is crucial not only for obtaining a fuller empirical picture of infant development, but also for the infant’s development itself. Copyright ZERO TO THREE. All rights reserved. For permission to reprint, go to www.zerotothree. org/reprints. What we Learn About Babies from Engaging With Their Emotions
Stable Isotope Aided Evaluation of Community Nutrition Program: Effect of Food Supplementation Schemes on Maternal and Infant Nutritional Status

The supplementation program of the community nutrition project (PNC) launched by the Senegalese Government in order to protect the most vulnerable groups (children and women) was evaluated. Using a stable isotope (deuterium), we assessed the effect of the PNC on breastmilk output, mother's body composition, and baby's growth at three months of lactation. Breastmilk triglycerides, lactose, protein, and zinc were also determined. Mothers who were supplemented more than 60 days during pregnancy showed a significant increase in fat-free mass as compared to those who were supplemented for less than 30 days (p = .03). Breastmilk output was not influenced by the supplementation, but breastmilk lactose, total protein, and zinc contents increased significantly (p < .01) in the supplemented mothers. Growth of the babies of the supplemented mothers was better than that of those whose mothers were not supplemented. It was concluded that the food supplementation had beneficial effects on both mothers’ and babies’ nutritional status depending on the onset of the supplementation.
A simple computation of the high-frequency per-unit-length resistance matrix

Based on multiconductor transmission line (MTL) theory, we determine the relationship between the high-frequency (h.f.) current distribution in a multiconductor interconnection and the electrostatic charge distribution in a lossless interconnection without dielectrics. This result is used to compute the h.f. per-unit-length resistance matrix of the interconnection.
Black Lives Matter : Clustering as a Way of Analyzing Online Discussions of Race

The intention of this project is to investigate ways that clustering might be used as a tool in the otherwise largely qualitative field of critical race studies. This stems from interest in Beyond the Hashtag, a report examining online discussion of the Black Lives Matter movement. This investigation found that clustering may provide a viable starting point for research into online discussions, by guiding focus towards contentious time periods (by comparing cluster sizes), and examining key features of different clusters. The clustering results were rarely clean, but demonstrated adequately that this should be a research step for qualitative investigators in digital spaces.
Extended Kalman Filter Based Speed Sensorless PMSM Control with Load Reconstruction

This paper describes a study and experimental verification of sensorless control of permanent magnet synchronous motor. This structure bases on the extended Kalman filter theory using only the measurement of the motor current for on-line estimation of speed, rotor position and load torque reconstruction. Control structure such as Kalman filtering, in real time requires a very fast signal processor in special way, adapted to perform complex mathematical calculations. The digital signal processors have become cheaper and their performance greater. Without using position and torque sensors, it has become possible to apply described control structure as a cost-effective solution
18 F-florbetaben Ab imaging in mild cognitive impairment

Introduction: 18 F-florbetaben and positron emission tomography were used to examine the relationships between b-amyloid (Ab) deposition, cognition, hippocampal volume, and white matter hyperintensities in mild cognitive impairment (MCI). Methods: Forty-five MCI participants were evaluated. A neocortical standardized uptake value ratio threshold ≥ 1.45 was used to discriminate high from low Ab burden. Correlations were adjusted for age, gender and years of education. Results: High Ab burden was found in 53% of MCI. Regression analyses showed standardized uptake value ratio (r = -0.51, P = 0.0015) and hippocampal volume (r = 0.60, P = 0.024) both contributing to episodic memory impairment in independent fashion. White matter hyperintensities correlated with nonmemory cognition, and this correlation was particularly associated with Ab burden. Conclusion: Higher Ab deposition in MCI is associated with more severe memory impairment and is contributing to early amnestic symptoms independent of hippocampal atrophy.
MAMNID: A Load Balance Network Diagnosis Model Based on Mobile Agents

In this paper, we propose MAMNID, a mobile agent-based model for networks incidents diagnosis. It is a load-balance and resistance to attack model, based on mobile agents to mitigate the weaknesses of centralized systems like that proposed by Mohamed Eid which consists in gathering data to diagnose from their collecting point and sending them back to the main station for analysis. The attack of the main station stops the system and the increase of the amount of information can equally be at the origin of bottlenecks or DDoS in the network. Our model is composed of m diagnostiquors, n sniffers and a multi-agent system (MAS) of diagnosis management of which the manager is elected in a cluster. It has enabled us not only to reduce the response time and the global system load by 1/m, but also make the system more tolerant to attacks targeting the diagnosis system.
Evidence of a Role for the Lateral Hypothalamic Area Juxtadorsomedial Region (LHAjd) in Defensive Behaviors Associated with Social Defeat

Our understanding of the extrinsic connections of the lateral hypothalamic area (LHA) has deepened in recent years. In particular, a series of studies using neural pathway-tracing methods to investigate the macroconnections of histologically differentiated LHA regions, have revealed that the neural connections of these regions are substantially distinct, and have robust connections with neural circuits controlling survival behaviors. To begin testing functional associations suggested by the distinct LHA region neural connections, the present study has investigated the role of the LHA juxtadorsomedial region (LHAjd) in the control of social defeat (a socially-relevant defensive behavior). Male rats received bilateral cytotoxic lesions targeted to the LHAjd. A resident-intruder paradigm was then employed to investigate the effect of these lesions on defensive behavioral responses. Behavioral data were collected during three phases of testing: (1) pre-encounter habituation to testing context; (2) encounter with a dominant conspecific in the testing context; and (3) post-encounter context. Statistical analysis of behavioral measures revealed a significant decrease in risk assessment behaviors during post-encounter context testing in lesioned intruders compared to sham-lesioned and intact rats. However, changes in defensive behavioral measures during the habituation, or during resident-intruder encounters, did not reach significance. We discuss these data in relation to LHAjd (and neighboring LHA region) neural connections, and in relation to current advances in understanding of the neural control of defensive behaviors. A refined model for the neural circuits that are central to the control of socially-relevant defensive behaviors is outlined. We also consider possible broader implications of these data for disorders of behavioral control.
Using packet information for efficient communication in NoCs

Multithreaded workloads like SPLASH2 and PARSEC generate heavy network traffic. This traffic consists of different packets injected by various nodes at various points of time. A packet consists of three essential components viz., source, destination and data. In this work, we study the opportunity to increase the efficiency of the underlying network. We come up with novel methods to share various components of the packets present in a router at any time. We provide an analysis of the performance gains over contemporary optimization techniques. We conduct experiments on a 64 node setup as well as a 512 node setup and record the energy consumption, IPC gains, network latency and throughputs. We show that our technique outperforms the contemporary Hamiltonian routing by 8.43% and VCTM routing by 7.7% on an average, in terms of IPC speedup.
Exploring star formation using the filaments in the Sloan Digital Sky Survey Data Release Five

We have quantified the average filamentarity of the galaxy distribution in seven nearly two-dimensional strips from the Sloan Digital Sky Survey Data Release Five (SDSS DR5) using a volume-limited sample in the absolute magnitude range -21 ≤M r ≤ -20. The average filamentarity of star-forming (SF) galaxies, which are predominantly blue, is found to be more than that of other galaxies which are predominantly red. This difference is possibly an outcome of the fact that blue galaxies have a more filamentary distribution. Comparing the SF galaxies with only the other blue galaxies, we find that the two show nearly equal filamentarity. Separately analyzing the galaxies with high star formation rates (SFR) and low SFR, we find that the latter has a more filamentary distribution. We interpret this in terms of two effects. (i) A correlation between the SFR and individual galaxy properties like luminosity with the high-SFR galaxies being more luminous. (ii) A relation between the SFR and environmental effects like the density with the high-SFR galaxies preferentially occurring in high-density regions. These two effects are possibly not independent and are operating simultaneously. We do not find any difference in the filamentarity of SF galaxies and active galactic nuclei.
Cooperative Short Range Routing for Energy Savings in Multi-Interface Wireless Networks

Energy efficiency in wireless networks has become an important field of research due to ever increasing energy expenditure in battery supplied mobile terminals. In this paper we present an energy efficient routing scheme for multi-standard infrastructure wireless networks based on multi-hop cooperative relaying. The aim of the proposed technique is to exploit short-range cooperation to take benefit from mobile terminals having superior links thus enable energy efficiency. Performance results show that higher data-rate yielded by cooperation can compensate the expense of higher energy due to multiple interfaces active on the same mobile terminal, making possible to observe energy efficiency gain of the system. A maximum achievable energy efficiency gain of up to 42 % was observed in our simulations when using the cooperative short range routing technique.
Moment-free numerical integration of highly oscillatory functions

The aim of this paper is to derive new methods for numerically approximating the integral of a highly oscillatory function. We begin with a review of the asymptotic and Filon-type methods developed by Iserles and Norsett. Using a method developed by Levin as a point of departure, we construct a new method that utilizes the same information as a Filon-type method, and obtains the same asymptotic order, while not requiring the computation of moments. We also show that a special case of this method has the property that the asymptotic order increases with the addition of sample points within the interval of integration, unlike all the preceding methods whose orders depend only on the endpoints.
Proteasome Inhibitor YSY01A Abrogates Constitutive STAT3 Signaling via Down-regulation of Gp130 and JAK2 in Human A549 Lung Cancer Cells

Proteasome inhibition interfering with many cell signaling pathways has been extensively explored as a therapeutic strategy for cancers. Proteasome inhibitor YSY01A is a novel agent that has shown remarkable anti-tumor effects; however, its mechanisms of action are not fully understood. Here we report that YSY01A is capable of suppressing cancer cell survival by induction of apoptosis. Paradoxically, we find that YSY01A abrogates constitutive activation of STAT3 via proteasome-independent degradation of gp130 and JAK2, but not transcriptional regulation, in human A549 non-small cell lung cancer cells. The reduction in gp130 and JAK2 can be restored by co-treatment with 3-methyladenine, an early-stage autophagy lysosome and type I/III PI3K inhibitor. YSY01A also effectively inhibits cancer cell migration and lung xenograft tumor growth with little adverse effect on animals. Thus, our findings suggest that YSY01A represents a promising candidate for further development of novel anticancer therapeutics targeting the proteasome.
On the role of conserved moieties in shaping the robustness and production capabilities of reaction networks

We study a simplified, solvable model of a fully connected metabolic network with constrained quenched disorder to mimic the conservation laws imposed by stoichiometry on chemical reactions. Within a spin-glass type of approach, we show that in the presence of a conserved metabolic pool the flux state corresponding to maximal growth is stationary independently of the pool size. In addition, and at odds with the case of unconstrained networks, the volume of optimal flux configurations remains finite, indicating that the frustration imposed by stoichiometric constraints, while reducing growth capabilities, confers robustness and flexibility to the system. These results have a clear biological interpretation and provide a basic, fully analytical explanation to features recently observed in real metabolic networks.
The Relationship between Self-Efficacy in Reading with Language Proficiency and Reading Comprehension among ESL Learner’s

This work investigates the relationship between self-efficacy in reading with language proficiency and reading comprehension. The sample utilized is comprised of 64 postgraduate students from two universities, namely Universiti Putra Malaysia and Universiti Malaya. The students are selected from several Master and PhD programs of faculty of Education, Engineering, and Agriculture. The instruments employed to collect the data, was the Scale of Belief Self-Efficacy Comprehension, and reading comprehension test. Quantitative analysis is utilized to analyze the gathered data. The result indicates that, there is a significant correlation between reader self-efficacy and reading comprehension. Moreover, readers’ self-efficacy in different levels of foreign language proficiency is different, and readers who possess high level of proficiency, perform reading task better than readers who are considered as high self-officious. In addition, the result demonstrates that, self-efficacy and language proficiency are the key factors in academic achievement. Furthermore, students who are selfefficacious can perform the task better than who are not, and students who possess high level of language proficiency are more successful in the process of reading.
The Differential Effect of Risperidone and Olanzapine on Insulin Sensitivity after 3 Weeks of Treatment: A HOMA Pilot Study

Abstract Background and Methods: Patients with an acute psychotic episode underwent HOMA testing for insulin sensitivity (IS) prior to and after 3 weeks of treatment with olanzapine (n=7) or risperidone (n=7). Results and Discussion: The HOMA-IS index was reduced in the olanzapine group, but significantly increased in patients treated with risperidone. There was a significant “time×medication” interaction (p=0.03). The BMI significantly increased as a result of both treatments. IS can be acutely ameliorated by antipsychotic treatment with risperidone despite weight increase. Conclusions: Compared to risperidone, the IS is impaired after a 3-week treatment with olanzapine. Already short-term antipsychotic treatment may have effects on insulin sensitivity.
Identification of Recurrent Neural Networks by Bayesian Interrogation Techniques

We introduce novel online Bayesian methods for the identification of a family of noisy recurrent neural networks (RNNs). We present Bayesian active learning techniques for stimulus selection given past experiences. In particular, we consider the unknown parameters as stochastic variables and use A-optimality and D-optimality principles to choose optimal stimuli. We derive myopic cost functions in order to maximize the information gain concerning network parameters at each time step. We also derive the A-optimal and D-optimal estimations of the additive noise that perturbs the dynamical system of the RNN. Here we investigate myopic as well as non-myopic estimations, and study the problem of simultaneous estimation of both the system parameters and the noise. Employing conjugate priors our derivations remain approximation-free and give rise to simple update rules for the online learning of the parameters. The efficiency of our method is demonstrated for a number of selected cases, including the task of controlled independent component analysis.
Device-to-device communication assisted interference mitigation for next generation cellular networks

Advanced interference management schemes have become crucial for achieving the required cell edge spectral efficiency targets and to provide ubiquity of user experience throughout the network, actively discussed for 4G and beyond 4G cellular standards. On the other hands, it requires the significant channel state information (CSI) feedback overhead on consumer units so as to promote the cell-edge performance. In this paper, we explore the interplay between interference management, device-to-device (D2D) communication, and CSI feedback. To show this, a novel interference management method, D2D communication assisted interference alignment (DIA) is proposed, which is inspired by subspace intersection property. We believe that the proposed technology can be well applied to consumer mobile communication devices over cellular networks such as smart phones, tablets, etc.
Role of Type 2 NAD(P)H Dehydrogenase NdbC in Redox Regulation of Carbon Allocation in Synechocystis1[OPEN]

NdbC has a significant function in regulating carbon allocation between storage and the biosynthesis pathways but also affects cell division. NAD(P)H dehydrogenases comprise type 1 (NDH-1) and type 2 (NDH-2s) enzymes. Even though the NDH-1 complex is a well-characterized protein complex in the thylakoid membrane of Synechocystis sp. PCC 6803 (hereafter Synechocystis), the exact roles of different NDH-2s remain poorly understood. To elucidate this question, we studied the function of NdbC, one of the three NDH-2s in Synechocystis, by constructing a deletion mutant (ΔndbC) for a corresponding protein and submitting the mutant to physiological and biochemical characterization as well as to comprehensive proteomics analysis. We demonstrate that the deletion of NdbC, localized to the plasma membrane, affects several metabolic pathways in Synechocystis in autotrophic growth conditions without prominent effects on photosynthesis. Foremost, the deletion of NdbC leads, directly or indirectly, to compromised sugar catabolism, to glycogen accumulation, and to distorted cell division. Deficiencies in several sugar catabolic routes were supported by severe retardation of growth of the ΔndbC mutant under light-activated heterotrophic growth conditions but not under mixotrophy. Thus, NdbC has a significant function in regulating carbon allocation between storage and the biosynthesis pathways. In addition, the deletion of NdbC increases the amount of cyclic electron transfer, possibly via the NDH-12 complex, and decreases the expression of several transporters in ambient CO2 growth conditions.
Crystal structure of 2-{[1-(2-methyl-5-nitro-1H-imidazol-1-yl)propan-2-yloxy]carbonyl}benzoic acid

In the title compound, C15H15N3O6, the dihedral angle between the planes of the benzene and imidazole rings is 34.93 (10)°. An intramolecular C—H⋯O hydrogen bond is observed. In the crystal, O—H⋯N hydrogen bonds link the molecules into chains parallel to the c axis.