Miracle-dz/UniFAR-FTUs huggingface dataset:
Probabilistic Category-based Location Recommendation Utilizing Temporal Influence and Geographical Influence

Location recommendation provides unvisited locations to the users for the rapidly growing location-based social networks. The service is based on the users' visiting histories and location related information such as location categories. In this paper, we propose a location recommendation algorithm called sPCLR that recommends locations to the users at a given time of the day by utilizing category information. The algorithm considers both temporal and spatial components. The temporal component utilizes the temporal influence of similar users' check-in behaviors by representing a user's periodic check-in behavior at different location categories as temporal curves. The similarity between users' periodic check-in behavior is calculated based on the difference between temporal curves. The spatial component utilizes the geographical influence of locations and filters out those locations that are not of interest to the user. The performance of sPCLR is compared with three existing location recommendation algorithms on a real-world dataset. Experimental results show that the sPCLR algorithm performs better than all other three algorithms.
Method for Extraction of Purchase Behavior and Product Character Using Dynamic Topic Model

In this study, we focus on extraction of latent topic transition from POS data. POS analysis is conducted to obtain the frequent pattern of customer's behavior. The fundamental method for POS analysis is to conduct market basket analysis. By doing Market basket analysis, the sets of products that are often bought at the same time can be extracted. In market basket analysis, however, the effect of time series is not considered. We conducted the experiment based on two hypotheses. One is that each product has several topics. The other is that the proportion of each product on a topic changes as the period changes. To extract topics and their changes, we use Dynamic Topic Model (DTM), which is an extended model of Latent Dirichlet Allocation (LDA). Then we obtain the change of the topic-word distribution on each topic. Different topic has different characters, but it seems that there is a relationship between each topic. Therefore, we conduct correlation analysis to several items. From the result of visualization of product features vector of several items, we can obtain that each product has unique time-series change of product feature. This study is also conducted to reveal product features vector based on Customer Purchase Behavior. By using DTM, each basket is transformed into probability distribution vector, and we use this topic vectors as each basket's evaluation result of topic features. We divide POS data into 12 groups by purchasing time and create a heat map that indicates changes of topic proportion as time advances. By conducting this analysis, we can grasp customer behavior based on the topic vector space. These analysises reveals product features are created based on topic correlations and its change and customer behavior can be extracted as the change of topic proportion, so the results show that the presented method is promising in the extraction of products' features and customer behavior.
Phosphatidylinositol 3-Kinase Plays a Vital Role in Regulation of Rice Seed Vigor via Altering NADPH Oxidase Activity

Phosphatidylinositol 3-kinase (PI3K) has been reported to be important in normal plant growth and stress responses. In this study, it was verified that PI3K played a vital role in rice seed germination through regulating NADPH oxidase activity. Suppression of PI3K activity by inhibitors wortmannin or LY294002 could abate the reactive oxygen species (ROS) formation, which resulted in disturbance to the seed germination. And then, the signal cascades that PI3K promoted the ROS liberation was also evaluated. Diphenylene iodonium (DPI), an NADPH oxidase inhibitor, suppressed most of ROS generation in rice seed germination, which suggested that NADPH oxidase was the main source of ROS in this process. Pharmacological experiment and RT-PCR demonstrated that PI3K promoted the expression of Os rboh9. Moreover, functional analysis by native PAGE and the measurement of the 2, 3-bis-(2-methoxy-4-nitro-5-sulfophenyl)-2H-tetrazo-lium-5- carboxanilide (XTT) formazan concentration both showed that PI3K promoted the activity of NADPH oxidase. Furthermore, the western blot analysis of OsRac-1 demonstrated that the translocation of Rac-1 from cytoplasm to plasma membrane, which was known as a key factor in the assembly of NADPH oxidase, was suppressed by treatment with PI3K inhibitors, resulting in the decreased activity of NADPH oxidase. Taken together, these data favored the novel conclusion that PI3K regulated NADPH oxidase activity through modulating the recruitment of Rac-1 to plasma membrane and accelerated the process of rice seed germination.
The Role of p75NTR in Cholinergic Basal Forebrain Structure and Function

The role of the p75 neurotrophin receptor (p75NTR) in adult cholinergic basal forebrain (cBF) neurons is unclear due to conflicting results from previous studies and to limitations of existing p75NTR-knock-out mouse models. In the present study we used a novel conditional knock-out line (ChAT-cre p75in/in) to assess the role of p75NTR in the cBF by eliminating p75NTR in choline acetyl-transferase-expressing cells. We show that the absence of p75NTR results in a lasting increase in cBF cell number, cell size, and cholinergic innervation to the cortex. Analysis of adult ChAT-cre p75in/in mice revealed that mutant animals show a similar loss of cBF neurons with age to that observed in wild-type animals, indicating that p75NTR does not play a significant role in mediating this age-related decline in cBF neuronal number. However, the increased cholinergic axonal innervation of the cortex, but not the hippocampus, corresponded to alterations in idiothetic but not allothetic navigation. These findings support a role for p75NTR-mediated regulation of cholinergic-dependent cognitive function, and suggest that the variability in previous reports of cBF neuron number may stem from limited spatial and temporal control of p75NTR expression in existing knock-out models.
A kinematic measurement framework to investigate the modular organization of finger movements

In this thesis a measurement framework is described which allows a coherent analysis of cortical finger movement representations, human motor behavior, motor learning, and simulated finger movements. The results obtained with this framework suggest that synergistic joint movement patterns (modules), extracted from movements after stimulation of the primary motor cortex exhibit similarity to the kinematic features of voluntary grasping movements. Intensive training of a musical motor skill or short term repetitions of a single stereotyped movement result in a skill related adaptation of the modules. However, modules, resulting from simulated random muscle activation patterns are not sufficient to generate human grasping movements. The results support the hypothesis of a modular architecture of the nervous system, including neuronal cortical networks.
Application of Structural Equation Modeling in Marketing Research

The application of Structural Equation Modeling (SEM) is a powerful multivariate technique suited for testing proposed relations between variables. This book provides an overview of the basic underlying principles of SEM. The author discusses the potential for SEM as a tool to advance consumer socialization research both statistically and conceptually. This work argues that SEM is useful in understanding communication as a complex set of relations between variables. Moreover, the author articulates the possibility for examining various forms of communications as an agent and mediator, and materialism as an outcome. The application of SEM to consumer socialization research is illustrated by evaluating a theoretical model of materialism. The results of SEM studies can contribute to better understanding of the validity of communication measures and of relationships between family communication, peer communication, and materialism as an outcome variable.
Effects of National Board Certified Teachers on Student Achievement and Behavioral Outcomes: Studies Conducted in Two States. Working Paper.

3 Introduction . 4 Previous Research on NBCTs . 4 Current Studies . 6 Methods. 6 Data . 7 Samples . 7 Propensity Score Matching . 8 Checking Baseline Equivalence . 11 Outcome Measures . 13 Analytic Approach . 15 Results . 15 Study 1: North Carolina . 16 Study 2: Kentucky . 19 References . 23 Tables Page Table 1. Variables to Be Used in Propensity Score Methods for North Carolina . 9 Table 2. Variables to Be Used in Propensity Score Methods for Kentucky . 10 Table 3. Standardized Mean Differences Between Treatment and Comparison Schools for North Carolina . 11 Table 4. Standardized Mean Differences Between Treatment and Comparison Schools for Kentucky. 12 Table 5. Descriptive Statistics of 2014–15 North Carolina Student Outcomes, by Grade and Treatment Status. 14 Table 6. Descriptive Statistics of 2014–15 Kentucky Student Outcomes, by Grade and Treatment Status . 14 Table 7. Estimates of the Effects of Being Taught by NBCTs on North Carolina Student Academic Outcomes, by Grade . 16 Table 8. Estimates of the Effects of Being Taught by NBCTs on North Carolina Student Behavioral Outcomes, by Grade . 16 Table 9. Estimates of North Carolina Subgroup Analyses . 18 Table 10. Estimates of the Effects of Being Taught by NBCTs on Kentucky Student Academic Outcomes, by Grade . 19 Table 11. Estimates of the Effects of Being Taught by NBCTs on Kentucky Student Behavioral Outcomes, by Grade . 19 Table 12. Estimates of Kentucky Subgroup Analyses . 21
Integration testing of heterotic systems

Computational theory and practice generally focus on single-paradigm systems, but relatively little is known about how best to combine components based on radically different approaches (e.g. silicon chips and wetware) into a single coherent system. In particular, while testing strategies for single-technology artefacts are generally well developed, it is unclear at present how to perform integration testing on heterotic systems: can we develop a test-set generation strategy for checking whether specified behaviours emerge (and unwanted behaviours do not) when components based on radically different technologies are combined within a single system? In this paper, we describe an approach to modelling multi-technology heterotic systems using a general-purpose formal specification strategy based on Eilenberg's X-machine model of computation. We show how this approach can be used to represent disparate technologies within a single framework, and propose a strategy for using these formal models for automatic heterotic test-set generation. We illustrate our approach by showing how to derive a test set for a heterotic system combining an X-machine-based device with a cell-based P system (membrane system).
Beyond Pinch-to-Zoom: Exploring Alternative Multi-touch Gestures for Map Interaction

Interaction with virtual maps is a common task on tabletop interfaces, particularly in the context of command-andcontrol applications. In nearly all cases, widely known gestures such as pinch-to-zoom are employed. To explore alternatives and variations of this mode of interaction, we have defined five alternative gesture sets for the tasks of modifying the map view and selecting map objects in an emergency management scenario. We present the results of an explorative study conducted with user interface experts, domain experts and inexperienced randomly selected users.
Support vector machines for text categorization

Text categorization is the process of sorting text documents into one or more predefined categories or classes of similar documents. Differences in the results of such categorization arise from the feature set chosen to base the association of a given document with a given category. Advocates of text categorization recognize that the sorting of text documents into categories of like documents reduces the overhead required for fast retrieval of such documents and provides smaller domains in which the users may explore similar documents. In this paper we are interested in examining whether automatic classification of news texts can be improved by prefiltering the vocabulary to reduce the feature set used in the computations. First we compare artificial neural network and support vector machine algorithms for use as text classifiers of news items. Secondly, we identify a reduction in feature set that provides improved results.
Neurocognitive effects of risk variants for psychosis: neuropsychological and neuroimaging studies of variants and pathways

x List of Tables . xii List of Supplementary Tables . xiii List of Figures . xvi List of Supplementary Figures . xvii List of Appendices . xviii List of Abbreviations . xix 1.
Motion generation for humanoid robots with automatically derived behaviors

In this paper, we present a method for motion generation from automatically derived behaviors for a humanoid robot. Behaviors are derived automatically by using the underlying spatio-temporal structure in motion. The derived behaviors are stored in a robot's long-term (or procedural) memory. New motions are generated from the derived ones with a search mechanism. In our approach, vision, speech recognition, short-term memory and decision-making operate in parallel with long-term memory in a unique architecture. This organization is intended for autonomous robot control and learning.
Layer by Layer ( LbL ) Technique for fabrication of electrostatic Self assembled ultrathin films

Layer by Layer (LbL) technique is a unique way for fabricating ultrathin nanostructured electrostatic self assembled films of water soluble material with controlled layer structure and lattice parameters etc. LbL films have many technical applications in the field of molecular electronics and biotechnology. This paper reports the early development, technology and application of LbL films along with national and international status of this newly booming technique for the fabrication electrostatic Self Assembled ultrathin films.
Stress and adaptation in mothers of children with cerebral palsy.

OBJECTIVE To assess the importance of disability severity and child functional status as predictors of maternal depressive symptoms and the moderating effects of maternal appraisal, social support, and family income on the relationship between disability factors (severity and functional status) and maternal depressive symptoms. METHOD Mothers of 270 children with cerebral palsy completed surveys on their appraisal of the child's disability, social support, and family demographics. Physicians assessed the severity of the disability and the child's functional status. RESULTS Thirty percent of the mothers had depressive symptoms above the cutoff on a depression screening instrument. Disability severity and child's functional status did not predict maternal depression. Perceived social support moderated the relationship between the child's functional status and maternal depressive symptoms. CONCLUSIONS Mothers of children with cerebral palsy may be at risk for depression. Interventions that take into account the moderating effects of social support may increase maternal adaptation.
Concave and Convex Interference Functions—General Characterizations and Applications

Many resource allocation problems can be studied within the framework of interference functions. Basic properties of interference functions are non-negativity, scale-invariance, and monotonicity. In this paper, we study interference functions with additional properties, namely convexity, concavity, and log-convexity. Such interference functions occur naturally in various contexts, e.g., adaptive receive strategies, robust power control, or resource allocation over convex utility sets. We show that every convex (resp. concave) interference function can be expressed as a maximum (resp. minimum) over a weighted sum of its arguments. This analytical insight provides a link between the axiomatic interference framework and conventional interference models that are based on the definition of a coupling matrix. We show how the results can be used to derive best-possible convex/concave approximations for general interference functions. The results have further application in the context of feasible sets of multiuser systems. Convex approximations for general feasible sets are derived. Finally, we show how convexity can be exploited to solve the problem of signal-to-interference-plus-noise ratio (SINR)-constrained power minimization with super-linear convergence.
Chandra Observations of Galactic Supernova Remnant Vela Jr.: A New Sample of Thin Filaments Emitting Synchrotron X-Rays

The Galactic supernova remnant (SNR) Vela Jr. (RX J0852.0-4622, G266.6-1.2) shows sharp filamentary structures on its northwestern edge in the hard X-ray band. The filaments are very smooth and located on the extreme outside edge of the remnant. We measured the averaged scale width of the filaments (wu and wd) with excellent spatial resolution with Chandra, and they are on the order of the size of the point-spread function of Chandra on the upstream side and 49. ″5 (36.″0-88.″8) on the downstream side. The spectra of the filaments are very hard and have no linelike structure; they were well reproduced with an absorbed power-law model with Γ = 2.67 (2.55-2.77) or a SRCUT model with νroll = 4.3 (3.4-5.3) × 1016 Hz under the assumption of p = 0.3. These results imply that the hard X-rays are synchrotron radiation emitted by accelerated electrons, as mentioned previously. Using a correlation between the function ℬ ≡ νroll/w and the SNR age, we estimated the distance and the age of Vela Jr.: the estimated distance and age are 0.33 (0.26-0.50) kpc and 660 (420-1400) yr, respectively. These results are consistent with previous reports, implying that the ℬ-age relation may be a useful tool for estimating the distance and the age of synchrotron X-ray-emitting SNRs.
Two Phases of Rod Photoreceptor Differentiation during Rat Retinal Development

We have conducted a comprehensive analysis of the relative timing of the terminal mitosis and the onset of rhodopsin expression in rod precursors in the rat retina in vivo. This analysis demonstrated that there are two distinct phases of rod development during retinal histogenesis. For the majority of rod precursors, those born on or after embryonic day 19 (E19), the onset of rhodopsin expression was strongly correlated temporally with cell cycle withdrawal. For these precursors, the lag between the terminal mitosis and rhodopsin expression was measured to be 5.5–6.5 d on average. By contrast, for rod precursors born before E19, the lag was measured to be significantly longer, averaging from 8.5 to 12.5 d. In addition, these early-born rod precursors seemed to initiate rhodopsin expression in a manner that was not correlated temporally with the terminal mitosis. In these cells, onset of rhodopsin expression appeared approximately synchronous with later-born cells, suggesting a synchronous recruitment to the rod cell fate induced by environmental signals. To examine this possibility, experiments in which the early-born precursors were exposed to a late environment were conducted, using a reaggregate culture system. In these experiments, the early-born precursors appeared remarkably uninfluenced by the late environment with respect to both rod determination and the kinetics of rhodopsin expression. These results support the idea that intrinsically distinct populations of rod precursors constitute the two phases of rod development and that the behavior exhibited by the early-born precursors is intrinsically programmed.
The influence of spiritual leadership on quality of work life, job satisfaction and organizational citizenship behavior

Purpose This paper is about the development of research by the author in the past with the topic of the influence of spiritual leadership on ethical behavior, quality of work life (QWL), job satisfaction, organizational commitment and employee performance. Design/methodology/approach This research is categorized as an explanation (explanatory) research that intends to explain the position of the variables that were analyzed, the relationship and influence of one variable with another variable and the data analysis methods used, such as structural equation modeling (SEM). The population under consideration for this study is all nurses working in three hospitals, totaling 292 people. Findings The results showed There were significant direct influences of spiritual leadership on quality of work life, spiritual leadership on job satisfaction, quality of work life on job satisfaction, quality of work life on organizational citizenship behavior, job satisfaction on organizational citizenship behavior. Originality/value Originality for this paper shows an explanation (explanatory) research and the method used is SEM to find out the influence of spiritual leadership on ethical behavior, QWL, job satisfaction, organizational commitment and employee performance. This is a research case study on nursing staff of a private hospital in North Sulawesi, Indonesia.
A Flying Start ? Long Term Consequences of Maternal Time Maternity Leave and Investments in Children During Their First Year of Life

We study the impact on children of increasing the time that the mother spends with her child in the first year by exploiting a reform that increased paid and unpaid maternity leave in Norway. The reform increased maternal leave on average by 4 months and family income was unaffected. The increased time with the child led to 2.7 percentage points decline in high school dropout. For mothers with low education we find a 5.2 percentage points decline. The effect is also especially large for children of mothers who prior to the reform, would take very low levels of unpaid leave.
Assisted news reading with automated illustration

We all had the problem of forgetting about what we just read a few sentences before. This comes from the problem of attention and is more common with children and elderly. People feel either bored or distracted by something more interesting. This paper proposes an application to help people reading news by illustrating the news story. The application provides mechanisms to (1) select the best illustration for each scene and (2) to select the set of illustrations to improve the story sequence. The application proposed in this technical demo aims at improving the user's attention when reading news articles. The application implements several information processing techniques to generate an audio-visual presentation of the text news article.