Miracle-dz/UniFAR-FTUs huggingface dataset:
Self-Estimates of Adaptors and Innovators on the Kirton Adaption-Innovation Inventory

This study examined the relationship between Kirton Adaption-Innovation Inventory total scores and self-estimates of the inventory scores to assess how accurately individuals can predict their adaptor or innovator status. Analysis indicated that 42 of 66 students (26 men, 40 women) classified themselves correctly as either adaptors or innovators, which was significant as were the Pearson correlations between actual and self-estimates of total scores (.52) and also actual scores and self-ratings on a five-point scale (.54). These data indicate many individuals can recognize the adaptive-innovative continuum with reasonable accuracy.
The situated HKB model: how sensorimotor spatial coupling can alter oscillatory brain dynamics

Despite the increase of both dynamic and embodied/situated approaches in cognitive science, there is still little research on how coordination dynamics under a closed sensorimotor loop might induce qualitatively different patterns of neural oscillations compared to those found in isolated systems. We take as a departure point the Haken-Kelso-Bunz (HKB) model, a generic model for dynamic coordination between two oscillatory components, which has proven useful for a vast range of applications in cognitive science and whose dynamical properties are well understood. In order to explore the properties of this model under closed sensorimotor conditions we present what we call the situated HKB model: a robotic model that performs a gradient climbing task and whose “brain” is modeled by the HKB equation. We solve the differential equations that define the agent-environment coupling for increasing values of the agent's sensitivity (sensor gain), finding different behavioral strategies. These results are compared with two different models: a decoupled HKB with no sensory input and a passively-coupled HKB that is also decoupled but receives a structured input generated by a situated agent. We can precisely quantify and qualitatively describe how the properties of the system, when studied in coupled conditions, radically change in a manner that cannot be deduced from the decoupled HKB models alone. We also present the notion of neurodynamic signature as the dynamic pattern that correlates with a specific behavior and we show how only a situated agent can display this signature compared to an agent that simply receives the exact same sensory input. To our knowledge, this is the first analytical solution of the HKB equation in a sensorimotor loop and qualitative and quantitative analytic comparison of spatially coupled vs. decoupled oscillatory controllers. Finally, we discuss the limitations and possible generalization of our model to contemporary neuroscience and philosophy of mind.
Modeling Mobile Cloud Computing Using Greenmetrics

Although a mobile cloud computing paradigm has obtained significant attentions from research community, we note that most of work is based on an ad hoc fashion. Furthermore, little work has shown a model-based cost optimization of offloading. Mobile cloud computing may instead be holistically analyzed and systematically designed as distributed solutions to some global optimization problems. Such a paradigm enables optimized code offloading of mobile applications, where mobile devices can be thought of a waypoint of powerful cloud resources. This paper tackles a suite of optimization subproblems: a program partitioning, network resource allocation, network selection, and cloud resource allocation problem. The key objective is to satisfy the mobile application’s quality of service requirements by quantifying the performance of each subsystem: mobile clients, wireless network medium, and cloud services. By extensive experiments, we present mobile clients can have up to 73.69x and 39.69x offloading benefit in terms of time and energy.
CWS: a comparative web search system

In this paper, we define and study a novel search problem: Comparative Web Search (CWS). The task of CWS is to seek relevant and comparative information from the Web to help users conduct comparisons among a set of topics. A system called CWS is developed to effectively facilitate Web users' comparison needs. Given a set of queries, which represent the topics that a user wants to compare, the system is characterized by: (1) automatic retrieval and ranking of Web pages by incorporating both their relevance to the queries and the comparative contents they contain; (2) automatic clustering of the comparative contents into semantically meaningful themes; (3) extraction of representative keyphrases to summarize the commonness and differences of the comparative contents in each theme. We developed a novel interface which supports two types of view modes: a pair-view which displays the result in the page level, and a cluster-view which organizes the comparative pages into the themes and displays the extracted phrases to facilitate users' comparison. Experiment results show the CWS system is effective and efficient.
CFT in the Infinite Momentum Frame

This paper considers the spacetimes describing pp-waves propagating on extremal non-dilatonic branes. It is shown that an observer moving along a geodesic will experience infinite curvature at the horizon of the brane, which should therefore be regarded as singular. Taking the decoupling limit of these brane-wave spacetimes gives a pp-wave in AdS, the simplest example being the Kaigorodov spacetime. It has been conjectured that gravity in this spacetime is dual to a CFT in the infinite momentum frame with constant momentum density. If correct, this implies that the CFT must resolve the singularity of the bulk spacetime. Evidence in favour of this conjecture is presented. The unbroken conformal symmetries determine the scalar 2-point function up to an arbitrary function of one variable. However, an AdS/CFT calculation shows that this function is constant (to leading order in 1/N) and the result is therefore the same as when the full conformal symmetry is unbroken. This paper also discusses a recently discovered Virasoro symmetry of metrics describing pp-waves in AdS and naked singularities in the Randall-Sundrum scenario.
Voices in transition: Lessons on career adaptability

Occupational problems have negative consequences across life domains, yet relatively little research addresses the psychological resources necessary for the adult career transition. Considering Super's concept of career adaptability (D. E. Super &: E. G. Knasel, 1981), the authors outline what they believe adults need to successfully manage the transition. Individuals in transition were interviewed and their responses were analyzed using qualitative methods. Participants who anticipated career change planfully and realistically, even when their jobs appeared to be secure, cited better experiences of the transition and perceived themselves to be coping better than did participants who ignored signs of change or reacted unrealistically soon after the job loss.
Analysis of Music Rhythm Based on Bayesian Theory

Automatically extracting rhythmic information from musical recordings is inarguably one of the most critical subtasks in many systems of music information retrieval. This paper presents a system for automatically extracting rhythm feature of audio music signal in the WAV format by using a new approach based on metric structure and Bayesian theory. In this system, an detected method is applied in the first step to extract the onset data, which will be used as input data to track tempo by a dynamic Kalman filter in the second step. Then a metric-based method is used to infer meter, which together with tempo will represent rhythm. Experimental results show that the accuracy of our approach ranges from 43.2% to 68.2% according to the music genre.
A Visual Programming Interface for Specifying Plan Dynamics ( Demo Paper )

When planning techniques are used for narrative generation in new media applications different criteria, based on such things as plan dynamics, are required to assess plan quality. In our work we have looked at providing support for specifying this information: we introduced a meta-level of representation that is an abstraction of the domain with respect to time and causality which we have represented visually via a narrative arc. We have used this visual representation in a visual programming approach to the exploration and specification of plan dynamics. In this demo we showcase this approach using our system that features virtual characters inspired by Shakespeare’s play The Merchant of Venice.
The Million Song Dataset

We introduce the Million Song Dataset, a freely-available collection of audio features and metadata for a million contemporary popular music tracks. We describe its creation process, its content, and its possible uses. Attractive features of the Million Song Database include the range of existing resources to which it is linked, and the fact that it is the largest current research dataset in our field. As an illustration, we present year prediction as an example application, a task that has, until now, been difficult to study owing to the absence of a large set of suitable data. We show positive results on year prediction, and discuss more generally the future development of the dataset.
Should diabetes be considered a coronary heart disease risk equivalent?: results from 25 years of follow-up in the Renfrew and Paisley survey.

OBJECTIVE The purpose of our study was to confirm or refute the view that diabetes be regarded as a coronary heart disease (CHD) risk equivalent and to test for sex differences in mortality. RESEARCH DESIGN AND METHODS This was a prospective cohort study of 7,052 men and 8,354 women aged 45-64 years from Renfrew and Paisley, Scotland, who were first screened in 1972-1976 and followed for 25 years. All-cause mortality was calculated as death per 1,000 person-years. A Cox proportional hazards model was used to adjust survival for age, smoking habit, blood pressure, serum cholesterol, BMI, and social class. RESULTS There were 192 deaths in 228 subjects with diabetes and 2,016 deaths in 3,076 subjects with CHD. The highest mortality was in the group with both diabetes and CHD (100.2 deaths/1,000 person-years in men, 93.6 in women) and the lowest in the group with neither (29.2 deaths/1,000 person-years in men, 19.4 in women). Men and women with diabetes only and CHD only formed an intermediate risk group. The adjusted hazard ratio (HR) for CHD mortality in men with diabetes only compared with men with CHD only was 1.17 (95% CI 0.78-1.74; P = 0.56). Corresponding HR for women was 1.97 (1.27-3.08; P = 0.003). CONCLUSIONS Diabetes without previous CHD carries a lifetime risk of vascular death as high as that for CHD alone. Women may be at particular risk. Our data support the view that cardiovascular risk factors in diabetes should be treated as aggressively as in people with CHD.
Multiresolution stochastic hybrid shape models with fractal priors

3D shape modeling has received enormous attention in computer graphics and computer vision over the past decade. Several shape modeling techniques have been proposed in literature, some are local (distributed parameter) while others are global (lumped parameter) in terms of the parameters required to describe the shape. Hybrid models that combine both ends of this parameter spectrum have been in vogue only recently. However, they do not allow a smooth transition between the two extremes of this parameter spectrum. We introduce a new shape-modeling scheme that can transform smoothly from local to global models or vice versa. The modeling scheme utilizes a hybrid primitive called the deformable superquadric constructed in an orthonormal wavelet basis. The multiresolution wavelet basis provides the power to continuously transform from local to global shape deformations and thereby allow for a continuum of shape models—from those with local to those with global shape descriptive power—to be created. The multiresolution wavelet basis allows us to generate fractal surfaces of arbitrary order that can be useful in describing natural detail. We embed these multiresolution shape models in a probabilistic framework and use them for recovery of anatomical structures in the human brain from MRI data. A salient feature of our modeling scheme is that it can naturally allow for the incorporation of prior statistics of a rich variety of shapes. This stems from the fact that, unlike other modeling schemes, in our modeling, we require relatively few parameters to describe a large class of shapes.
Vaccinia Virus J1R Protein: a Viral Membrane Protein That Is Essential for Virion Morphogenesis

ABSTRACT Vaccinia virus, a member of the poxvirus family, contains a conserved J1R open reading frame that encodes a late protein of 17.8 kDa. The 18-kDa J1R protein is associated mainly with the membrane fraction of intracellular mature virus particles. This study examines the biological function of J1R protein in the vaccinia virus life cycle. A recombinant vaccinia virus was constructed to conditionally express J1R protein in an isopropyl-β-d-galactopyranoside (IPTG)-inducible manner. When J1R is not expressed during vaccinia virus infection, the virus titer is reduced approximately 100-fold. In contrast, J1R protein is not required for viral gene expression, as indicated by protein pulse-labeling. J1R protein is also not required for DNA processing, as the resolution of the concatemer junctions of replicated viral DNA was detected without IPTG. A deficiency of J1R protein caused a severe delay in the processing of p4a and p4b into mature core proteins 4a and 4b, indicating that J1R protein participates in virion morphogenesis. Infected cells grown in the absence of IPTG contained very few intracellular mature virions in the cytoplasm, and enlarged viroplasm structures accumulated with viral crescents attached at the periphery. Abundant intermediate membrane structures of abnormal shapes were observed, and many immature virions were either empty or partially filled, indicating that J1R protein is important for DNA packaging into immature virions. J1R protein also coimmunoprecipited with A45R protein in infected cells. In summary, these results indicate that vaccinia virus J1R is a membrane protein that is required for virus growth and plaque formation. J1R protein interacts with A45R protein and performs an important role during immature virion formation in cultured cells.
Convergent and Discriminant Validity of the Rahim Organizational Conflict Inventory—II

Confirmatory factor analysis with LISREL 7 of data from 1,219 managers on the 28 items of the Rahim Organizational Conflict Inventory–II provided support for the convergent and discriminant validities of this instrument which measures the styles of handling interpersonal conflict and their invariance across referent roles and organizational levels.
Assessment of inter‐observer differences in the Italian multicenter study on reversible cerebral ischemia.

A standardized protocol was used for duplicate examination by two neurologists of the clinical history and neurological signs in 55 patients with reversible cerebral ischemia. One trained examiner from each of eight clinical centres involved in the Italian Cooperative Study on reversible cerebral ischemia participated in this research. Duplicate examination were compared in order to evaluate the percentage of agreement achieved in the responses. Several discrepancies relating to either historical data or neurological signs were detected. Possible causes of this disagreement are discussed. The inter-observer differences appear to be an important problem to be faced in cooperative studies on reversible ischemic attacks. The purpose of the study was to estimate these differences in the attempt to increase the degree of agreement by repeated training sessions and discussion between the different examiners. These efforts are needed to improve the quality of clinical investigations on reversible cerebral ischemia and to increase the validity of their results.
Community perspectives on roles and responsibilities for strengthening primary health care in rural Ethiopia

Abstract Government–community partnerships are central to developing effective, sustainable models of primary health care in low-income countries; however, evidence about the nature of partnerships lacks the perspective of community members. Our objective was to characterise community perspectives regarding the respective roles and responsibilities of government and the community in efforts to strengthen primary health care in low-income settings. We conducted a qualitative study using focus groups (n=14 groups in each of seven primary health care units in Amhara and Oromia, Ethiopia, with a total of 140 participants) in the context of the Ethiopian Millennium Rural Initiative. Results indicated that community members defined important roles and responsibilities for both communities and governments. Community roles included promoting recommended health behaviours; influencing social norms regarding health; and contributing resources as feasible. Government roles included implementing oversight of health centres; providing human resources, infrastructure, equipment, medication and supplies; and demonstrating support for community health workers, who are seen as central to the rural health system. Renewed efforts in health system strengthening highlight the importance of community participation in initiatives to improve primary health care in rural settings. Community perspectives provide critical insights to defining, implementing and sustaining partnerships in these settings.
Enhancement of Spike-Timing-Dependent Plasticity in Spiking Neural Systems with Noise

Synaptic plasticity is widely recognized to support adaptable information processing in the brain. Spike-timing-dependent plasticity, one subtype of plasticity, can lead to synchronous spike propagation with temporal spiking coding information. Recently, it was reported that in a noisy environment, like the actual brain, the spike-timing-dependent plasticity may be made efficient by the effect of stochastic resonance. In the stochastic resonance, the presence of noise helps a nonlinear system in amplifying a weak (under barrier) signal. However, previous studies have ignored the full variety of spiking patterns and many relevant factors in neural dynamics. Thus, in order to prove the physiological possibility for the enhancement of spike-timing-dependent plasticity by stochastic resonance, it is necessary to demonstrate that this stochastic resonance arises in realistic cortical neural systems. In this study, we evaluate this stochastic resonance phenomenon in the realistic cortical neural system described by the Izhikevich neuron model and compare the characteristics of typical spiking patterns of regular spiking, intrinsically bursting and chattering experimentally observed in the cortex.
Normal levels of p27Xic1 are necessary for somite segmentation and determining pronephric organ size

The Xenopus laevis cyclin dependent kinase inhibitor p27Xic1 has been shown to be involved in exit from the cell cycle and differentiation of cells into a quiescent state in the nervous system, muscle tissue, heart and retina. We show that p27Xic1 is expressed in the developing kidney in the nephrostomal regions. Using over-expression and morpholino oligonucleotide (MO) knock-down approaches we show normal levels of p27Xic1 regulate pronephros organ size by regulating cell cycle exit. Knock-down of p27Xic1 expression using a MO prevented myogenesis, as previously reported; an effect that subsequently inhibits pronephrogenesis. Furthermore, we show that normal levels of p27Xic1 are required for somite segmentation also through its cell cycle control function. Finally, we provide evidence to suggest correct paraxial mesoderm segmentation is not necessary for pronephric induction in the intermediate mesoderm. These results indicate novel developmental roles for p27Xic1, and reveal its differentiation function is not universally utilised in all developing tissues.
The Covert Helps Parse the Overt

This paper is concerned with whether deep syntactic information can help surface parsing, with a particular focus on empty categories. We design new algorithms to produce dependency trees in which empty elements are allowed, and evaluate the impact of information about empty category on parsing overt elements. Such information is helpful to reduce the approximation error in a structured parsing model, but increases the search space for inference and accordingly the estimation error. To deal with structure-based overfitting, we propose to integrate disambiguation models with and without empty elements, and perform structure regularization via joint decoding. Experiments on English and Chinese TreeBanks with different parsing models indicate that incorporating empty elements consistently improves surface parsing.
Subgraph Mapping Optimization Methods for Domain-Specific Architectures

Because the deep learning model does not require the existence of domain-specific architectures (DSA) operator types or fusion modes corresponding to subgraphs when the code is finally deployed, these subgraphs often cannot be deployed directly on the DSA. If the custom subgraph is directly converted into the inference model on the corresponding hardware without processing, the searched subgraph may be re-split into the pre-recombination structure, resulting in optimization failure. In order to enable the custom subgraph to reason correctly on the hardware and achieve the expected performance, this paper maps the subgraph as an operator in the layer, so that the back-end of the hardware framework will treat the custom sub graph as a whole to perform scheduling optimization when generating code. The method proposed in this paper reorganizes the sub graphs of Faster-rcnn and MobileViT, and deploys the optimized models to Ascend 310 platform, which can improve the overall inference performance by 1.19 x ~ 1.45 x and tuning efficiency by 1.41 x ~2.08 x.
Glucose Biosensors: An Overview of Use in Clinical Practice

Blood glucose monitoring has been established as a valuable tool in the management of diabetes. Since maintaining normal blood glucose levels is recommended, a series of suitable glucose biosensors have been developed. During the last 50 years, glucose biosensor technology including point-of-care devices, continuous glucose monitoring systems and noninvasive glucose monitoring systems has been significantly improved. However, there continues to be several challenges related to the achievement of accurate and reliable glucose monitoring. Further technical improvements in glucose biosensors, standardization of the analytical goals for their performance, and continuously assessing and training lay users are required. This article reviews the brief history, basic principles, analytical performance, and the present status of glucose biosensors in the clinical practice.
A New Model for Resilient Distribution Systems by Microgrids Formation

Forming multiple micorgrids with distributed generators offers a resilient solution to restore critical loads from natural disasters in distribution systems. However, more dummy binary and continuous variables are needed with the increase of the number of microgrids, which will therefore increase the complexity of this model. To address this issue, this letter presents a new model to reformulate the micorgrid formulation problem in resilient distribution networks. Compared with the traditional model, the number of both binary and continuous variables is greatly reduced, such that the computational performance is significantly improved. Numerical results on IEEE test systems verify the effectiveness of the proposed model.