Miracle-dz/UniFAR-FTUs huggingface dataset:
A Replication of Xu & Burleson (2001) “Effects of Sex, Culture, and Support Type on Perceptions of Spousal Social Support: An Assessment of the ‘Support Gap’ Hypothesis in Early Marriage”

In response to recent calls regarding the social sciences’ “replication crisis,” we have endeavored to replicate Xu and Burleson’s (2001) research study, “Effects of Sex, Culture, and Support Type of Perceptions of Spousal Support: An Assessment. ” This study, which examines the support gap hypothesis and its different manifestations among men and women from the United States of America and China, has contributed greatly to scholarly conversations on social support, sex, culture, and support gaps. Results from our study partially replicate Xu and Burleson’s (2001) original findings and provide general empirical evidence for the support gap hypothesis. Differences in findings between the two studies and their implications are discussed.
Profil Berpikir Kritis IPA Siswa Kelas VIII SMP Negeri di Kota Ende Berdasarkan Prespektif Gender

The aims of this research is was to find out the profile of overall science critical thinking ability and based on the gender of viii grade students of SMPN at Ende city. This research was a descriptive research. The population of this research were all the VIII grade students of SMPN at Ende city academic year 2017/2018. As many as 804 students and the sample were 10% of the populations, they were 80 students. This research used random sampling technique. The data were obtained from the score of science critical thinking ability. The data were analyzed by using descriptive analysis. the result shows that the average of science critical thinking ability of students was 66,84 which is categorized as medium or critical enough. Meanwhile, based on the gender perspective, the female group obtained the average as 68,56 which is categorized as high or critical. Meanwhile, male obtained the 62,03 which is categorized as medium or critical enough.
A three-dimensional model of the human blood-brain barrier to analyse the transport of nanoparticles and astrocyte / endothelial interactions [ version 2 ; referees : 2 approved ]

The aim of this study was to develop a three-dimensional (3D) model of the human blood-brain barrier , which mimics the cellular architecture of the in vitro CNS and could be used to analyse the delivery of nanoparticles to cells of the CNS. The model includes human astrocytes set in a collagen gel, which is overlaid by a monolayer of human brain endothelium (hCMEC/D3 cell line). The model was characterised by transmission electron microscopy (TEM), immunofluorescence microscopy and flow cytometry. A collagenase digestion method could recover the two cell types separately at 92-96% purity. Astrocytes grown in the gel matrix do not divide and they have reduced expression of aquaporin-4 and the endothelin receptor, type B compared to two-dimensional cultures, but maintain their expression of glial fibrillary acidic protein. The effects of conditioned media from these astrocytes on the barrier phenotype of the endothelium was compared with media from astrocytes grown conventionally on a two-dimensional (2D) substratum. Both induce the expression of tight junction proteins zonula occludens-1 and claudin-5 in hCMEC/D3 cells, but there was no difference between the induced expression levels by the two media. The model has been used to assess the transport of glucose-coated 4nm gold nanoparticles and for leukocyte migration. TEM was used to trace and quantitate the movement of the nanoparticles across the endothelium and into the astrocytes. This blood-brain barrier model is very suitable for assessing delivery of nanoparticles and larger biomolecules to cells of the CNS, following transport across the endothelium. Referee Status:
Causality in Strong Shear Flows

It is well known that the standard transport equations violate causality when gradients are large or when temporal variations are rapid. We derive a modified set of transport equations that satisfy causality. These equations are obtained from the underlying Boltzmann equation. We use a simple model for particle collisions which enables us to derive moment equations non-perturbatively, i.e. without making the usual assumption that the distribution function deviates only slightly from its equilibrium value. We apply the model to two problems: particle diffusion and viscous transport. In both cases we show that signals propagate at a finite speed and therefore that the formalism obeys causality. When the velocity gradient is large on the scale of a mean free path, the viscous shear stress is suppressed relative to the prediction of the standard diffusion approximation. The shear stress reaches a maximum at a finite value of the shear amplitude and then decreases as the velocity gradient increases. In the case of a steady Keplerian accretion disk with hydrodynamic turbulent viscosity, the stress-limit translates to an upper bound on the Shakura-Sunyaev $\alpha$-parameter, namely $\alpha<0.07$. The limit on $\alpha$ is much stronger in narrow boundary layers where the velocity shear is larger than Keplerian.
Convergence Properties of Donaldson's T -Iterations on the Riemann Sphere

In [Donaldson 05b], Donaldson gives three operators on a space of Hermitian metrics on a complex projective manifold: T, T ν , T K . Iterations of these operators converge to balanced metrics, and these themselves approximate constant scalar curvature metrics. In this paper we investigate the convergence properties of these iterations by examining the case of the Riemann sphere as well as higher-dimensional ℂℙ n .
A ubiquitous ∼62-Myr periodic fluctuation superimposed on general trends in fossil biodiversity. II. Evolutionary dynamics associated with periodic fluctuation in marine diversity

Abstract We use Fourier analysis to investigate evolutionary dynamics related to periodicities in marine fossil biodiversity. Coherent periodic fluctuation in both origination and extinction of “short-lived” genera (those that survive <45 Myr) is the source of an observed ∼62 million year periodicity (which we confirmed in an earlier paper and also found to be ubiquitous in global compilations of marine diversity). We also show that the evolutionary dynamics of “long-lived” genera (those that survive >45 Myr) do not participate in the periodic fluctuation in diversity and differ from those of “short-lived” genera. The difference between the evolutionary dynamics of long- and short-lived genera indicates that the periodic pattern is not simply an artifact of variation in quality of the geologic record. Also, the interplay of these two previously undifferentiated systems, together with the secular increase in abundance of “long-lived” genera, is probably the source of observed but heretofore unexplained differences in evolutionary dynamics between the Paleozoic and post-Paleozoic as reported by others. Testing for cycles similar to the 62-Myr cycle in fossil biodiversity superimposed on the long-term trends of the Phanerozoic as described in Paper I, we find a significant (but weaker) signal in sedimentary rock packages, particularly carbonates, which suggests a connection. The presence of a periodic pattern in evolutionary dynamics of the more vulnerable “short-lived” component of the marine fauna demonstrates that a long-term periodic fluctuation in environmental conditions capable of affecting evolution in the marine realm characterizes our planet's history. Coincidence in timing is more consistent with a common cause than with sampling bias. A previously identified set of mass extinctions preferentially occur during the declining phase of the 62-Myr periodicity, supporting the idea that the periodicity relates to variation in biotically important stresses. Further work should focus on finding links to physical phenomena that might reveal the causal system or systems.
A Novel Index Coding Scheme for Vector Quantization

A novel method for the compression of the index table of vector quantization (VQ) is proposed in this paper. This method is designed based on the observation that neighboring image blocks are highly correlated. In other words, VQ-encoded neighboring image blocks tend to have similar indices if the codebook used in VQ is previously sorted by the principal component analysis technique. According to this characteristic, we find the same or similar indices around the current processing index to process it. In addition, the pre-statistics technique is employed to gather differences that appear most often in the index table. Simulation results indicate that the newly proposed scheme achieves significant reduction of bit rate without losing any image quality by the original VQ encoding.
Node Localization in Wireless Sensor Networks by Artificial Immune System

Node localization is one of the main challenges in Wireless Sensor Networks (WSNs). In all sensor network applications, it is important to know the origin of collected data and reported events. This paper proposes a bio-inspired method for solving the WSN localization problem which is formulated as a non linear optimization problem. An Artificial immune inspired, population based optimization algorithm called Clonal Selection Algorithm (CSA) is used for locating nodes in a sensor network scenario. The performance of CSA based localization scheme is evaluated through simulations and results are compared with Particle Swarm Optimizer (PSO) based localization method. Also, evaluation is performed using data collected from a real WSn testbed.
A Neural-Functionalist Approach to Learning

ing,” at the Winter Conference on Learning and Behavior, Winter Park, CO, January, 2001. The research was supported by Grants MH 60157 from the National Institute of Mental Health and NS 41548 from the National Institute of Neurological Disorders and Stroke. The authors would like to thank Kyle Baumbauer and Erin Young (Kent State University) and Kevin Bolding, Anne Bopp, Adam Ferguson, Christine George, Michelle Hook, Russell Huie, Mary Meagher, Mark Packard, and Stephanie Washburn (Texas A&M University) for their comments on this paper and their help in developing the concept of neurofunctionalism. The lead author would also like to acknowledge the indirect contribution made by Mike Domjan, Randy Gallistel, Steve Maier, Bob Rescorla, Paul Rozin, Jerry Rudy, and Bill Timberlake. Many will recognize that the authors have simply sewn together some views that these researchers have advocated for over 20-30 years. While we acknowledge the foundation they provided, they did not review our plans. Accordingly, any angst generated by the views espoused should be directly solely towards the authors. Correspondence should be addressed to J. Grau, Department of Psychology, Texas A&M University, College Station, TX 778434235 U.S.A. (j-grau@tamu.edu). International Journal of Comparative Psychology, 2005, 18, 1-22. Copyright 2004 by the International Society for Comparative Psychology
Recurrent spreading depolarizations after subarachnoid hemorrhage decreases oxygen availability in human cerebral cortex

Delayed ischemic neurological deficit (DIND) contributes to poor outcome in subarachnoid hemorrhage (SAH) patients. Because there is continuing uncertainty as to whether proximal cerebral artery vasospasm is the only cause of DIND, other processes should be considered. A potential candidate is cortical spreading depolarization (CSD)‐induced hypoxia. We hypothesized that recurrent CSDs influence cortical oxygen availability.
The Effect of Feeding Bt MON810 Maize to Pigs for 110 Days on Intestinal Microbiota

Objective To assess the effects of feeding Bt MON810 maize to pigs for 110 days on the intestinal microbiota. Methodology/Principal Findings Forty male pigs (∼40 days old) were blocked by weight and litter ancestry and assigned to one of four treatments; 1) Isogenic maize-based diet for 110 days (Isogenic); 2) Bt maize-based diet (MON810) for 110 days (Bt); 3) Isogenic maize-based diet for 30 days followed by a Bt maize-based diet for 80 days (Isogenic/Bt); 4) Bt maize-based diet for 30 days followed by an isogenic maize-based diet for 80 days (Bt/Isogenic). Enterobacteriaceae, Lactobacillus and total anaerobes were enumerated in the feces using culture-based methods on days 0, 30, 60 and 100 of the study and in ileal and cecal digesta on day 110. No differences were found between treatments for any of these counts at any time point. The relative abundance of cecal bacteria was also determined using high-throughput 16 S rRNA gene sequencing. No differences were observed in any bacterial taxa between treatments, with the exception of the genus Holdemania which was more abundant in the cecum of pigs fed the isogenic/Bt treatment compared to pigs fed the Bt treatment (0.012 vs 0.003%; P≤0.05). Conclusions/Significance Feeding pigs a Bt maize-based diet for 110 days did not affect counts of any of the culturable bacteria enumerated in the feces, ileum or cecum. Neither did it influence the composition of the cecal microbiota, with the exception of a minor increase in the genus Holdemania. As the role of Holdemania in the intestine is still under investigation and no health abnormalities were observed, this change is not likely to be of clinical significance. These results indicate that feeding Bt maize to pigs in the context of its influence on the porcine intestinal microbiota is safe.
Multiple-Degree-of-Freedom Counterbalance Robot Arm Based on Slider-Crank Mechanism and Bevel Gear Units

Low-cost but high-performance robot arms are required for robot arms to come into widespread use. To provide sufficient torques to support the robot mass and payload, most arms use expensive motors and speed reducers, which are the main reasons for their high price. As a solution to these problems, a multiple-degree-of-freedom (DOF) counterbalance mechanism and robot arm were developed in our previous study, which can compensate for the gravitational torque due to the robot mass. However, there are durability and reliability problems associated with wire-based mechanisms. To solve these, in this study, we proposed a new counterbalance mechanism based on a spring and slider-crank mechanism, along with a double-parallelogram mechanism composed of bevel gear units. Moreover, a 6-DOF counterbalance robot arm was built to verify the performance of the proposed mechanism. Simulation and experimental results showed that the proposed mechanism effectively decreased the torque required to support the robot mass, thus allowing the prospective use of low-cost motors and speed reducers for high-performance robots.
Geometric shadowing in slow–fast Hamiltonian systems

We study a class of slow–fast Hamiltonian systems with any finite number of degrees of freedom, but with at least one slow one and two fast ones. At ε = 0 the slow dynamics is frozen. We assume that the frozen system (i.e. the unperturbed fast dynamics) has families of hyperbolic periodic orbits with transversal heteroclinics. For each periodic orbit we define an action J. This action may be viewed as an action Hamiltonian (in the slow variables). It has been shown in Brännström and Gelfreich (2008 Physica D 237 2913–21) that there are orbits of the full dynamics which shadow any finite combination of forward orbits of J for a time t = O(ε−1). We introduce an assumption on the actions of periodic orbits which enables us to shadow any continuous curve (of arbitrary length) in the slow phase space for any time. The slow dynamics shadows the curve as a purely geometrical object, thus the time on the slow dynamics has to be reparametrized.
Technical Guidelines to Extract and Analyze VGI from Different Platforms

An increasing number of Volunteered Geographic Information (VGI) and social media platforms have been continuously growing in size, which have provided massive georeferenced data in many forms including textual information, photographs, and geoinformation. These georeferenced data have either been actively contributed (e.g., adding data to OpenStreetMap (OSM) or Mapillary) or collected in a more passive fashion by enabling geolocation whilst using an online platform (e.g., Twitter, Instagram, or Flickr). The benefit of scraping and streaming these data in stand-alone applications is evident, however, it is difficult for many users to script and scrape the diverse types of these data. On 14 June 2016, a pre-conference workshop at the AGILE 2016 conference in Helsinki, Finland was held. The workshop was called “LINK-VGI: LINKing and analyzing VGI across different platforms”. The workshop provided an opportunity for interested researchers to share ideas and findings on cross-platform data contributions. One portion of the workshop was dedicated to a hands-on session. In this session, the basics of spatial data access through selected Application Programming Interfaces (APIs) and the extraction of summary statistics of the results were illustrated. This paper presents the content of the hands-on session including the scripts and guidelines for extracting VGI data. Researchers, planners, and interested end-users can benefit from this paper for developing their own application for any region of the world.
Runtime asynchronous fault tolerance via speculation

Transient faults are emerging as a critical reliability concern in modern microprocessors. Redundant hardware solutions are commonly deployed to detect transient faults, but they are less flexible and cost-effective than software solutions. However, software solutions are rendered impractical because of high performance overheads. To address this problem, this paper presents Runtime Asynchronous Fault Tolerance via Speculation (RAFT), the fastest transient fault detection technique known to date. Serving as a layer between the application and the underlying platform, RAFT automatically generates two symmetric program instances from a program binary. It detects transient faults in a non-invasive way and exploits high-confidence value speculation to achieve low runtime overhead. Evaluation on a commodity multicore system demonstrates that RAFT delivers a geomean performance overhead of 2.83% on a set of 30 SPEC CPU benchmarks and STAMP benchmarks. Compared with existing transient fault detection techniques, RAFT exhibits the best performance and fault coverage, without requiring any change to the hardware or the software applications.
The role of knowledge in discourse comprehension: a construction-integration model.

Publisher Summary This chapter discusses data concerning the time course of word identification in a discourse context. A simulation of arithmetic word-problem understanding provides a plausible account for some well-known phenomena. The current theories use representations with several mutually constraining layers. There is typically a linguistic level of representation, conceptual levels to represent both the local and global meaning and structure of a text, and a level at which the text itself has lost its individuality and its information content. Knowledge provides part of the context within which a discourse interpreted. The integration phase is the price the model pays for the necessary flexibility in the construction process.
Model-based Methods of Classification: Using the mclust Software in Chemometrics

Due to recent advances in methods and software for model-based clustering, and to the interpretability of the results, clustering procedures based on probability models are increasingly preferred over heuristic methods. The clustering process estimates a model for the data that allows for overlapping clusters, producing a probabilistic clustering that quantifies the uncertainty of observations belonging to components of the mixture. The resulting clustering model can also be used for some other important problems in multivariate analysis, including density estimation and discriminant analysis. Examples of the use of model-based clustering and classification techniques in chemometric studies include multivariate image analysis, magnetic resonance imaging, microarray image segmentation, statistical process control, and food authenticity. We review model-based clustering and related methods for density estimation and discriminant analysis, and show how the R package mclust can be applied in each instance.
Increased range of motion and decreased muscle activity during maximal reach with gravity compensation in stroke patients

To stimulate restoration of arm function after stroke, active movement is important, which can be facilitated by supporting the weight of the hemiparetic arm, either in conventional treatment or in other approaches such as robot-aided therapy. During arm support, the active range of motion during reach can increase with respect to unsupported movements. The present objective was to investigate the influence of gravity compensation on muscle activity and range of motion during maximal reach. Six stroke patients performed maximal reaching movements, once with and once without gravity compensation. When comparing these two conditions, muscle activity decreased while range of motion increased with gravity compensation. This implies that gravity compensation may facilitate active arm movements, by reducing the required muscle activity to maintain a particular arm orientation. This may be related to a reduction of an abnormal coupling between shoulder abduction and elbow flexion when arm movements are performed with gravity compensation.
On the validity of flow-level tcp network models for grid and cloud simulations

Researchers in the area of grid/cloud computing perform many of their experiments using simulations that must capture network behavior. In this context, packet-level simulations, which are widely used to study network protocols, are too costly given the typical large scales of simulated systems and applications. An alternative is to implement network simulations with less costly flow-level models. Several flow-level models have been proposed and implemented in grid/cloud simulators. Surprisingly, published validations of these models, if any, consist of verifications for only a few simple cases. Consequently, even when they have been used to obtain published results, the ability of these simulators to produce scientifically meaningful results is in doubt. This work evaluates these state-of-the-art flow-level network models of TCP communication via comparison to packet-level simulation. While it is straightforward to show cases in which previously proposed models lead to good results, instead we follow the critical method, which places model refutation at the center of the scientific activity, and we systematically seek cases that lead to invalid results. Careful analysis of these cases reveals fundamental flaws and also suggests improvements. One contribution of this work is that these improvements lead to a new model that, while far from being perfect, improves upon all previously proposed models in the context of simulation of grids or clouds. A more important contribution, perhaps, is provided by the pitfalls and unexpected behaviors encountered in this work, leading to a number of enlightening lessons. In particular, this work shows that model validation cannot be achieved solely by exhibiting (possibly many) “good cases. ” Confidence in the quality of a model can only be strengthened through an invalidation approach that attempts to prove the model wrong.