Miracle-dz/UniFAR-FTUs huggingface dataset:
Spatial and dynamical properties of voids in a Λ cold dark matter universe

We study the statistical properties of voids in the distribution of mass, dark-matter haloes and galaxies (BJ 1011.5 h−1 M⊙, similar to the median halo mass, Mmed= 1011.3 h−1 M⊙. We also find that the number density of galaxy- and halo-defined voids can be up to two orders of magnitude higher than mass-defined voids for large void radii, however, we observe that this difference is reduced to about half an order of magnitude when the positions are considered in redshift space. As expected, there are outflow velocities that show their maximum at larger void-centric distances for larger voids. We find a linear relation for the maximum outflow velocity, vmax=v0rvoid. The void-centric distance where this maximum occurs follows a suitable power-law fit of the form log(d)=(rvoid/A)B. At sufficiently large distances, we find mild infall motions on to the subdense regions. The galaxy velocity field around galaxy-defined voids is consistent with the results of haloes with masses above the median, showing milder outflows than the mass around mass-defined voids. We find that a similar analysis in redshift space would make both outflows and infalls appear with a lower amplitude. We also find that the velocity dispersion of galaxies and haloes is larger in the direction parallel to the void walls by ≃10–20 per cent. Given that voids are by definition subdense regions, the cross-correlation function between galaxy-defined voids and galaxies is close to ξ=−1 out to separations comparable to the void size, and at larger separations the correlation function level increases, approaching the values of the auto-correlation function of galaxies. The cross-correlation amplitude of mass-defined voids versus mass has a more gentle behaviour remaining negative at larger distances. The cross- to auto-correlation function ratio as a function of the distance normalized to the void radius shows a small scatter around a relation that depends only on the object used to define the voids (galaxies or haloes for instance). The distortion pattern observed in ξ(σ, π) is that of an elongation along the line of sight that extends out to large separations. Positive ξ contours evidence finger-of-god motions at the void walls. Elongations along the line of sight are roughly comparable between galaxy-, halo- and mass-defined voids.
PENGARUH MODAL INTELEKTUAL TERHADAP KINERJA KEUANGAN PERBANKAN UMUM SYARIAH BERDASARKAN ISLAMICITY PERFORMANCE INDEX

The purpose of this reaserch is to examine the influence of intellectual capital toward financial performance based on islamicity performance index of Islamic banks in Indonesia during 2015-2017. The samples of this study are twelve Islamic commercial banks that were initially selected by using purposive sampling method. Islamicity performance index is used as a measurement of financial performance of Islamic banks which are consist of profit sharing ratio and zakat performance ratio. The analysis technique performed in this study is partial least squares (PLS). The results of this reaserch show that Intellectual capital has negative influence to financial performance.
Memory vocabulary learning strategies and long-term retention

The present study was an attempt to compare the impact of teaching through memory strategies, where students were taught the meaning of new vocabulary items by giving them synonyms, antonyms, definitions and mini-contexts. The results were reflected in the students' short-term and long-term memory retention. The participants of the study comprised 310 Indian pre-university females. The results indicated that the students in the experimental group outperformed those in the control group both in short-term and longterm scores. As many learners do not develop sufficient mastery of the vocabulary, explicit instruction of memory strategies can help them to store and retrieve new vocabulary items. Also, by using the result of a self-report and post-test 1, it was shown that over-dependency on survey tools as a means of data collection is open to question, in spite of the wide application of such tools, since there was a significant difference between what the participants said and how they performed. Keywords: memory strategies, vocabulary learning strategies, short-term retention, long-term retention, imagery,
THE CENTERS OF IWAHORI-HECKE ALGEBRAS ARE FILTERED

Indeed, Theorem 1.1 specializes at ξ = 0 to someclassical results of loc. cit. In addition, Conjecture 3.1 in the specialization atξ = 0 (which is a theorem in loc. cit.) when combined with the specialization ofTheorem 1.1 allowed them to deﬁne a universal algebra K governing the structuresof the centers Z(ZS
Fast Approximate kNN Graph Construction for High Dimensional Data via Recursive Lanczos Bisection

Nearest neighbor graphs are widely used in data mining and machine learning. A brute-force method to compute the exact kNN graph takes Θ(dn2) time for n data points in the d dimensional Euclidean space. We propose two divide and conquer methods for computing an approximate kNN graph in Θ(dnt) time for high dimensional data (large d). The exponent t ∈ (1,2) is an increasing function of an internal parameter α which governs the size of the common region in the divide step. Experiments show that a high quality graph can usually be obtained with small overlaps, that is, for small values of t. A few of the practical details of the algorithms are as follows. First, the divide step uses an inexpensive Lanczos procedure to perform recursive spectral bisection. After each conquer step, an additional refinement step is performed to improve the accuracy of the graph. Finally, a hash table is used to avoid repeating distance calculations during the divide and conquer process. The combination of these techniques is shown to yield quite effective algorithms for building kNN graphs.
Mind wandering at the fingertips: automatic parsing of subjective states based on response time variability

Research from the last decade has successfully used two kinds of thought reports in order to assess whether the mind is wandering: random thought-probes and spontaneous reports. However, none of these two methods allows any assessment of the subjective state of the participant between two reports. In this paper, we present a step by step elaboration and testing of a continuous index, based on response time variability within Sustained Attention to Response Tasks (N = 106, for a total of 10 conditions). We first show that increased response time variability predicts mind wandering. We then compute a continuous index of response time variability throughout full experiments and show that the temporal position of a probe relative to the nearest local peak of the continuous index is predictive of mind wandering. This suggests that our index carries information about the subjective state of the subject even when he or she is not probed, and opens the way for on-line tracking of mind wandering. Finally we proceed a step further and infer the internal attentional states on the basis of the variability of response times. To this end we use the Hidden Markov Model framework, which allows us to estimate the durations of on-task and off-task episodes.
Recognition of Shapes for Object Retrieval in Image Databases by Discrete Curve Evolution

This paper presents the recognition of shapes for object retrieval in image databases using skeleton-based and contour-based representation by discrete curve evaluation and two consecutive primitive edges. Humans tend to use high-level concepts in everyday life. Object segmentation and recognition is the primary step of computer vision to achieve image retrieval of high-level image analysis. Contour-based and skeleton-based representations are important for object recognition in different areas. In comparing the contour-based approaches with the skeleton-based approaches for object representation, the contour-based is more sensitive to noise than a skeleton-based approach based on a good skeleton pruning method, but a rough shape classification can be performed since the obtained skeletons do not represent any shape details. In this paper, we proposed a novel method to integrate the contour-based approaches with skeleton-based approaches for object representation. The contour-based and skeleton-based representations are based on the proposal of two consecutive primitive edges method and discrete curve evolution method respectively. Experimental results demonstrate that the performance of the proposed algorithm is superior to Torsello and Hancock’s method in terms of retrieval accuracy.
Determinants of Cloud Computing Adoption among SMEs in Sri Lanka: A Meta Theoretical Framework

Cloud Computing has recently emerged as a noteworthy milestone in the area of information and communications technology (ICT) systems development. In particular, Cloud Computing improves reliability and scalability of ICT systems, which allows small and medium-sized enterprises (SMEs) to scale down its ICT infrastructure while improving performance. Yet, there remains a dearth of literature that explicitly addresses the determinants of Cloud Computing adoption by SMEs. This paper aims to address voids in extant literature by developing a meta theoretical framework by assimilating two dominant theories in technology adoption literature. Following the pragmatism research paradigm and mixed methods research design, a face-to-face questionnaire survey was conducted as the main research strategy. Data stemmed from 142 SMEs in Sri Lanka were used to test the proposed framework using PLS-SEM. Twenty semi-structured interviews were initially used to validate the measurement scales before the main survey was undertaken. At the end, a supplementary qualitative phase was included with eight follow-up interviews to further discuss the findings of PLS-SEM analysis. Relative advantage, complexity, training and education, top management support, competitive pressure and trading partner support were identified as significant determinants.
Formation of creases on the surfaces of elastomers and gels

When a block of an elastomer is bent, the compressed surface may form a crease. The critical strain for creasing measured experimentally is known to disagree with that predicted by linear perturbation analysis. This paper calculates the critical strain by comparing the elastic energy in a creased body and that in a smooth body. This difference in energy is expressed by a scaling relation. Critical conditions for creasing are determined for elastomers subject to general loads and gels swelling under constraint. The theoretical results are compared with existing experimental observations.
Computing the m-Tight Error Linear Complexity of Periodic Binary Sequences

Based on the earlier notions of linear complexity, k-error linear linear complexity, k-error linear complexity profile and minerror, the concept of m-tight error linear complexity is presented to study the linear complexity stability of sequences. The m-tight error linear complexity of sequence S is defined as a two tuple km, LCm, which is the mth jump point of the k-error linear complexity profile of sequence S. Based on the Wang-Zhang-Xiao algorithm, an efficient algorithm for computing m-tight error linear complexity of binary sequences with period pn is given, where p is a prime and 2 is a primitive root modulo p2.
A novel online adaptive time delay identification technique

In this study, an online time delay identification technique is proposed. Different from the relevant literature, the time delay is considered as a nonlinear parameter and nonlinear parameter estimation techniques are adopted. The stability of the adaptive update law can be guaranteed via Lyapunov based arguments and numerical simulations are conducted to demonstrate the proof of concept.
Exploring the role of trust in health risk communication in Nunavik, Canada

Abstract Communicating about health risks in the Arctic can be challenging. Numerous factors can hinder or promote effective communication. One of the most important components in effective communication is trust in an information source. This is particularly true when a risk is unfamiliar or complex because the public must rely on expert assessment rather than personal evaluation of the risk. A total of 112 Inuit residents from Nunavik, Canada, were interviewed to better understand the factors that influence trust in individuals or organisations. Results indicate that there are six primary factors that influence trust in an information source. These factors include: (1) whether the information source is a friend or family member; (2) past performance of the individual or organisation; (3) the general disposition of the audience member (that is, he or she believes that most people are trustworthy); (4) the openness or candidness of the source; (5) value similarity (referring to the perceived correspondence in values between the audience member and communicator); and (6) the credibility of the source. The results of this study can help determine who or what agencies should provide messages about health risks in the Arctic. It also provides insight about effective strategies for engendering trust among Arctic residents.
Bates' Guide to Physical Examination and History Taking

40.94 MB Free download Bates' Guide to Physical Examination and History Taking with E-Book (Guide to Physical Exam & History Taking (Bates)) book PDF, FB2, EPUB and MOBI. Read online Bates' Guide to Physical Examination and History Taking with E-Book (Guide to Physical Exam & History Taking (Bates)) which classified as Other that has 992 pages that contain constructive material with lovely reading experience. Reading online Bates' Guide to Physical Examination and History Taking with E-Book (Guide to Physical Exam & History Taking (Bates)) book will be provide using wonderful book reader and it's might gives you some access to identifying the book content before you download the book.
Altruism and Indirect Reciprocity: The Interaction of Person and Situation in Prosocial Behavior

A persistent puzzle in the social and biological sciences is the existence of prosocial behavior, actions that benefit others, often at a cost to oneself. Recent theoretical models and empirical studies of indirect reciprocity show that actors behave prosocially in order to develop an altruistic reputation and receive future benefits from third parties. Accordingly, individuals should stop investing in reputations via prosocial behavior when a future benefit (via indirect reciprocity) is unlikely. The conclusion that the absence of reputational incentives necessarily leads to egoistic behavior contrasts sharply with models of heterogeneous social preferences. Such models demonstrate the theoretical plausibility of populations composed of egoists and altruists. Results of Study One show that actors classified a priori as egoists respond strategically to reputational incentives, whereas those classified a priori as altruists are less affected by these incentives. Egoists act prosocially when reputational incentives are at stake but not when opportunities for indirect reciprocity are absent, while altruists tend to act prosocially regardless of whether reputational incentives are present. These results suggest that altruistic behavior can result from non-strategic altruism or reputation-building egoism. Study Two replicates these results and explores indirect reciprocation of others' prosocial acts. We found that altruists indirectly reciprocate at higher levels than egoists, and individuals tend to discount others' prosocial behaviors when they occur in the presence of reputational incentives. As a result, public prosocial behaviors are indirectly reciprocated less than private prosocial behaviors. In line with our argument that altruists pay less attention to reputational incentives, egoists showed a greater tendency than altruists to discount others' public prosocial behaviors. The results support the growing focus on heterogeneity of individuals'social preferences in models of altruism and indirect reciprocity.
Using overdecomposition to overlap communication latencies with computation and take advantage of SMT processors

Parallel programs running on clusters are typically decomposed and mapped to run with one thread per processor each working on its disjoint subset of the data. We evaluate performance improvements and limitations for a micro-benchmark and the NAS benchmarks, by using overdecomposition to map multiple threads to each processor to overlap computation with communication. The experiment platform is a cluster with Pentium 4 symmetric multithreading (SMT) processor nodes interconnected through gigabit Ethernet. Micro-benchmark results demonstrate execution time improvements up to 1.8. However, for the NAS benchmarks overdecomposition and SMT provides only slight performance gains, and sometimes significant performance loss. We evaluated improvement and limitation sensitivity to problem size, communication structure and whether SMT is enabled or not. We found that performance improvements are limited by applications having communication dependencies that limit thread-level parallelism, increase in cache misses, or increased systems activity. Our study contributes a better understanding of these limitations
Fibroblast Growth Factor-10 Promotes Cardiomyocyte Differentiation from Embryonic and Induced Pluripotent Stem Cells

Background The fibroblast growth factor (FGF) family is essential to normal heart development. Yet, its contribution to cardiomyocyte differentiation from stem cells has not been systemically studied. In this study, we examined the mechanisms and characters of cardiomyocyte differentiation from FGF family protein treated embryonic stem (ES) cells and induced pluripotent stem (iPS) cells. Methodology/Principal Findings We used mouse ES cells stably transfected with a cardiac-specific α-myosin heavy chain (αMHC) promoter-driven enhanced green fluorescent protein (EGFP) and mouse iPS cells to investigate cardiomyocyte differentiation. During cardiomyocyte differentiation from mouse ES cells, FGF-3, -8, -10, -11, -13 and -15 showed an expression pattern similar to the mesodermal marker Brachyury and the cardiovascular progenitor marker Flk-1. Among them, FGF-10 induced cardiomyocyte differentiation in a time- and concentration-dependent manner. FGF-10 neutralizing antibody, small molecule FGF receptor antagonist PD173074 and FGF-10 and FGF receptor-2 short hairpin RNAs inhibited cardiomyocyte differentiation. FGF-10 also increased mouse iPS cell differentiation into cardiomyocyte lineage, and this effect was abolished by FGF-10 neutralizing antibody or PD173074. Following Gene Ontology analysis, microarray data indicated that genes involved in cardiac development were upregulated after FGF-10 treatment. In vivo, intramyocardial co-administration of FGF-10 and ES cells demonstrated that FGF-10 also promoted cardiomyocyte differentiation. Conclusion/Significance FGF-10 induced cardiomyocyte differentiation from ES cells and iPS cells, which may have potential for translation into clinical applications.
A 16-Gb/s differential I/O cell with 380fs RJ in an emulated 40nm DRAM process

This paper describes a 16-Gb/s differential bidirectional I/O transceiver cell in an emulated 40 nm DRAM process that has a fan-out of four-inverter delay (FO4) of 45 ps, resulting in a bit time that is only 1.4 FO4 delays long. The transceiver implements several techniques to achieve low jitter despite the slow process and constrained power consumption, including a quad rate clocking with closed-loop quadrature correction, a shared LC-PLL with an octagonal inductor in a three-metal process, and a data-dependent regulator. The transceiver has measured random jitter of 380 fs rms at the transmitter output and BER <10-14 while consuming 8 mW/Gb/s.
Changes in the Demographics, Qualifications, and Turnover of American STEM Teachers, 1988–2012

Qualified science, technology, engineering, and mathematics (STEM) teachers are critical in the provision of high-quality STEM education for all students. Through descriptive and regression analysis, we document how demographic characteristics, qualifications, and turnover rates of a nationally representative sample of public school STEM teachers have changed from 1988 to 2012. Over this time period, STEM teachers are more likely to be female, attend selective colleges, have graduate degrees, and have STEM qualifications. Although STEM teachers are no more likely to turn over than other teachers, this masks differential rates between high- and low-poverty schools. Moreover, our results highlight the importance of recruiting qualified STEM teachers to work in high-poverty schools and providing supports to help them thrive and remain in the classroom.
Pronounced lowering of serum levels of lipoprotein Lp(a) in hyperlipidaemic subjects treated with nicotinic acid

Abstract Carlson LA, Hamsten A, Asplund A (King Gustaf V Research Institute and Department of Internal Medicine, Karolinska Institute and Karolinska Hospital, Stockholm, Sweden). Pronounced lowering of serum levels of lipoprotein Lp(a) in hyperlipidaemic subjects treated with nicotinic acid.
Assessment of direct torque control for induction motor drives

Among all control methods for induction motor drives, Direct Torque Control (DTC) seems to be particularly interesting being independent of machine rotor parameters and requiring no speed or position sensors. The DTC scheme is characterized by the absence of PI regulators, coordinate transformations, current regulators and PWM signals generators. In spite of its simplicity, DTC allows a good torque control in steady state and transient operating conditions to be obtained. However, the presence of hysteresis controllers for flux and torque could determine torque and current ripple and variable switching frequency operation for the voltage source inverter. This paper is aimed to analyze DTC principles, the strategies and the problems related to its implementation and the possible improvements.
A Novel Therapeutic Regimen to Eradicate Established Solid Tumors with an Effective Induction of Tumor-Specific Immunity

Purpose: The efficacy of oncolytic viruses depends on multiple actions including direct tumor lysis, modulation of tumor perfusion, and stimulation of tumor-directed immune responses. In this study, we investigated whether a sequential combination of immunologically distinct viruses might enhance antitumor efficacy through the induction of tumor-specific immunity and circumvention or mitigation of antiviral immune responses. Experimental Design: The Syrian hamster as an immune-competent model that supports replication of both adenovirus and vaccinia virus was evaluated in vitro and in vivo. The antitumor efficacy of either virus alone or sequential combination of the two viruses was examined in pancreatic and kidney cancer models. The functional mechanism of the regimen developed here was investigated by histopathology, immunohistochemistry staining, CTL assay, and T-cell depletion. Results: The Syrian hamster is a suitable model for assessment of oncolytic adenovirus and vaccinia virus. Three low doses of adenovirus followed by three low doses of vaccinia virus resulted in a superior antitumor efficacy to the reverse combination, or six doses of either virus alone, against pancreatic and kidney tumors in Syrian hamsters. A total of 62.5% of animals bearing either tumor type treated with the sequential combination became tumor-free, accompanied by the induction of effective tumor-specific immunity. This enhanced efficacy was ablated by CD3+ T-cell depletion but was not associated with humoral immunity against the viruses. Conclusion: These findings show that sequential treatment of tumors with oncolytic adenovirus and vaccinia virus is a promising approach for cancer therapy and that T-cell responses play a critical role. Clin Cancer Res; 18(24); 6679–89. ©2012 AACR.