Miracle-dz/UniFAR-FTUs huggingface dataset:
Stochastic resonance of quantum discord

We study the stochastic resonance of quantum discord (“discord resonance”) in coupled quantum systems and make a comparison with the stochastic resonance of entanglement (“entanglement resonance”). It is found that the discord resonance is much more robust against dephasing noise and thermal effects than the entanglement resonance. We also show that, unlike the entanglement resonance, the level of dissipation at which the discord resonance occurs is not sensitive to dephasing noise. These results suggest that it is easier to detect the discord resonance in actual experiments, where the dephasing noise and temperature are difficult to control.
Design and evaluation of a braided teaching course in sixth grade computer science education

We report on the design and evaluation of the first year of a Computer Science course in lower secondary education that implements the concept of braided teaching. Besides being a proof-of-concept, our study demonstrates that students an indeed be taught Computer Science (as opposed to Information and Communication Technology) as early as in sixth grade while at the same time not falling behind with respect to Information Technology Literacy. We present quantitative and qualitative results and argue that Computer Science can be taught just like any other science subject worth full curriculum credit.
Generalized Poincare's Conjecture in Dimensions Greater Than Four

Poincare has posed the problem as to whether every simply connected closed 3-manifold (triangulated) is homeomorphic to the 3-sphere, see [18] for example. This problem, still open, is usually called Poincare's conjecture. The generalized Poincare conjecture (see [11] or [28] for example) says that every closed n-manifold which has the homotopy type of the nsphere S" is homeomorphic to the n-sphere. One object of this paper is to prove that this is indeed the case if n > 5 (for differentiable manifolds in the following theorem and combinatorial manifolds in Theorem B).
Perceptions of Low Income by Canadian Student Occupational Therapists

Low income negatively impacts health, access to health services, and overall quality of life. Living with low income is complex, strongly correlated with disability, age, gender, race, and mental illness, and can present barriers to participation in employment, self-care, and leisure occupations. Occupational therapists are wellpositioned to reduce these socioeconomic, environmental, and personal barriers. Research on student occupational therapists’ learning and perceptions in working with individuals living with low income is unexplored. This study aimed to understand student occupational therapists’ perceptions and experiences related to low income and their knowledge of their professional roles in working with low income populations. Fourteen Canadian occupational therapy programs were asked to invite final year students to complete an online survey. Resulting data was analyzed for student perceptions of their professional roles, personal experiences, and learning experiences related to working with low income populations. Eighty-eight respondents completed the survey. Ninety-one percent (n=81) agreed with the occupational therapy role as a change agent with marginalized and low income populations. Fifty-seven percent of respondents (n=53) disagreed that they learned enough about low income in their programs. Students reported gaps in their learning about working with low income populations, with six percent (n=5) having learned to screen for low income. Respondent comments resulted in 21 unique codes that built three themes; ‘academic experiences’, ‘perception of role’, and ‘individual experiences’. Occupational therapy programs need to address gaps in student learning to prepare student occupational therapists to advocate for individuals living with low income and address socioeconomic inequities of occupational engagement.
Hallucinations and perceptual inference

This commentary takes a closer look at how “constructive models of subjective perception,” referred to by Collerton et al. (sect. 2), might contribute to the Perception and Attention Deficit (PAD) model. It focuses on the neuronal mechanisms that could mediate hallucinations, or false inference – in particular, the role of cholinergic systems in encoding uncertainty in the context of hierarchical Bayesian models of perceptual inference (Friston 2002b; Yu & Dayan 2002).
Autonomous GEO Satellite Navigation with Multiple GNSS Measurements

The poor satellite visibility and the weak signal power of the Global Positioning System (GPS) signal reception in side lobes are the main constraint on the Geostationary Earth Orbit (GEO) determination, however, the situation will improve when multi-constellation Global Navigation Satellite Systems (GNSS) become available in the near future. In this study, a navigation algorithm is developed in order to determine the GEO state vector using multiconstellation GNSS measurements. The proposed navigation algorithm is based on a Kalman filter where the estimated state includes position and velocity corrections to the nominal reference trajectory and clock biases. The tests with simulated multi-GNSS measurements indicate that this algorithm meets the accuracy requirement for autonomous GEO satellite navigation.
Improving Quality of Service Support for Modified OLSR Protocol in Mobile Adhoc Network and Classified Nodes using Learning Techniques

In this paper focus on Nature of-administration (QoS) steering in an Ad-Hoc system is troublesome on the grounds that the system topology may change always and the accessible state data for directing is innately uncertain. In the proposal, we create QoS forms of the OLSR (Optimized Link State Routing) convention, which is an "expert dynamic" Ad-Hoc directing convention. We acquaint heuristics that permit OLSR with locate the greatest transfer speed way, indicate through reproduction and verification that these heuristics do enhance OLSR in the transmission capacity QoS perspective; we likewise dissect the execution of the QoS directing conventions in NS-3, watch the accomplishment acquired, and the expense paid. Our reproduction results demonstrate that the QoS renditions of the OLSR steering convention do enhance the accessible transfer speed of the courses figured, yet the included expense the extra overhead likewise has a negative effect on the system in End-to-End Delay and Packet Delivery Ratio, particularly in the rapid development situation and we detect packet dropper nodes for refining results by using support vector machine(SVM) learning technique for classification of dropper and normal nodes.
Do the Principles of Motor Program Editing Apply to Longer Sequences of Rapid Aiming Movements? Part II

In Part I of this study, it was shown that performing a shorter distance aiming movement prior to a longer distance aiming movement resulted in overshooting of the short movement and undershooting of the longer movement compared to control conditions. However, the finding was limited, unexpectedly, to the nondominant hand. To replicate the prior result and to determine the effect of practice organization on movement accuracy, right-handed (n =24) participants (aged 18–22) produced a sequence of three rapid lever reversals combining short (20°) and long (60°) movements with an intermovement interval of 2.5 s with the dominant hand. Greater overshooting of the short movements and greater undershooting of the long movement was shown with random practice compared to blocked practice for both same distance and different distance sequences, although spatial errors were greater in the different conditions compared to the same conditions. Overall, the experiment demonstrated parameter value switching and practice organization as two major sources of spatial inaccuracy in sequential aiming movements.
Optimal Pricing and Order Strategies of Three-Stage Reverse Supply Chain under Stochastic Demand Based on the Stackelberg Model

This paper establishes a three-stage reverse supply chain model which includes one manufacturer, one retailer and one agent who helps the manufacturer to recall waste materials. Besides, this paper assumes that the numbers of this reverse supply chain are all based on the stackelberg game model. Under the condition of stochastic market demands, this paper analyzes the optimal pricing and order strategies in the concentrated decision-making and distributed decision makings reverse supply chain. By the analysis of the results, this paper gets a conclusion that in the concentrated decision-making reverse supply chain, the manufacturer’ s recovery price and the agent’ s recovery price are higher than the ones in the other condition, and the retailer’ s order is lower.
Empirical Methods for the Study of Denotation in Nominalizations in Spanish

This article deals with deverbal nominalizations in Spanish; concretely, we focus on the denotative distinction between event and result nominalizations. The goals of this work is twofold: first, to detect the most relevant features for this denotative distinction; and, second, to build an automatic classification system of deverbal nominalizations according to their denotation. We have based our study on theoretical hypotheses dealing with this semantic distinction and we have analyzed them empirically by means of Machine Learning techniques which are the basis of the ADN-Classifier. This is the first tool that aims to automatically classify deverbal nominalizations in event, result, or underspecified denotation types in Spanish. The ADN-Classifier has helped us to quantitatively evaluate the validity of our claims regarding deverbal nominalizations. We set up a series of experiments in order to test the ADN-Classifier with different models and in different realistic scenarios depending on the knowledge resources and natural language processors available. The ADN-Classifier achieved good results (87.20% accuracy).
Brief Screening Tool for Disordered Eating in Diabetes

OBJECTIVE To update and validate a diabetes-specific screening tool for disordered eating (the Diabetes Eating Problem Survey [DEPS]) in contemporary youth with type 1 diabetes. RESEARCH DESIGN AND METHODS A total of 112 youth with type 1 diabetes, ages 13–19 years, completed the DEPS. Higher scores on the DEPS indicate more disordered eating behaviors. Youth and their parents also completed additional surveys to examine diabetes-specific family conflict, negative affect related to blood glucose monitoring, youth quality of life, and diabetes burden. Clinicians provided data on height, weight, A1C, and insulin dosing. The DEPS was revised into a shorter, updated measure and validated. RESULTS The revised 16-item DEPS (DEPS-R) displayed excellent internal consistency (Cronbach's α = 0.86). Construct validity was demonstrated by positive correlations with zBMI (P = 0.01), A1C (P = 0.001), diabetes-specific family conflict (P < 0.005), youth negative affect around blood glucose monitoring (P = 0.001), parental diabetes-specific burden (P = 0.0005), and negative correlations with frequency of blood glucose monitoring (P = 0.03) and quality of life (P ≤ 0.002). External validity was confirmed against clinician report of insulin restriction. CONCLUSIONS The DEPS-R is a 16-item diabetes-specific self-report measure of disordered eating that can be completed in <10 min. It demonstrated excellent internal consistency, construct validity, and external validity in this contemporary sample of youth with type 1 diabetes. Future studies should focus on using the DEPS-R to identify high-risk populations for prevention of and early intervention for disordered eating behaviors.
Localization and Classiication Based on Projections

In general, projections as input data for 3{D object recognition algorithms do not simplify the problem due to the loss of range information. However, in this work we demonstrate that this deeciency bears potential for complexity reduction of major vision problems. The discussed examples range from matching, pose estimation to classiication of 3{D objects | partially without using explicit 3{D knowledge. We show that projections provide a reduction of feature dimensions, and lead to structures exhibiting simpler combinatorial properties. The theoretical framework is embedded into a probabilistic setting which deals with uncertainties and variations of observed features. In statistics marginal densities and the assumption of independency prove to be the key tools when one encounters projections. For all discussed examples we describe the resulting algorithms and their complexities in detail. An experimental evaluation proves the practical importance of the marginal-ization concept and of weakening dependency structures.
Warm It Up with Love: The Effect of Physical Coldness on Liking of Romance Movies

Are romance movies more desirable when people are cold? Building on research on (bodily) feeling-as-information and embodied cognition, we hypothesize that physical coldness activates a need for psychological warmth, which in turn leads to an increased liking for romance movies. Four laboratory experiments and an analysis of online movie rental data provide support for our hypothesis. Specifically, studies 1A and 1B show that physical coldness increases the liking of and willingness to pay for romance movies. Study 2 shows that the effect of physical coldness on liking of romance movies only occurs for people who associate romance movies with psychological warmth. Study 3 shows that people correct for the influence of physical coldness on their liking of romance movies when physical coldness is made salient. In study 4, using data on online movie rentals and historical temperature, we found a negative relationship between weather temperature and preference for romance movies.
Income Diversification in Zimbabwe: Welfare Implications from Urban and Rural Areas

The author examines, taking into account the urban-rural divides, the changes and welfare implications of income diversification in Zimbabwe following macroeconomic policy changes and droughts of the early 1990s. Data from two comparable national income, consumption and expenditure surveys in 1990-91 and 1995-96, which straddled a period of economic volatility and natural disasters, show that the percentage of households earning income from private and informal sources grew considerably, while that from government and formal sources declined in the aftermath of the drought and policy changes. The author finds that, in general, rural households tend to have a more diversified portfolio of income compared with their urban counterparts, and the degree of diversification decreases with the level of urbanization. However, there are important differences in the level of diversification within the rural and urban areas depending on wealth: While the relatively better-off households have a more diversified income base in rural areas, it is the poor who pursue multiple income sources in urban areas. A decomposition of changes in welfare indicates that the total contribution of income diversification is large and increased between 1990-91 and 1995-96 in both urban and rural areas. On the other hand, there were significant declines in returns to human and physical capital assets during the same period. The findings suggest that households with a more diversified income base are better able to withstand the unfavorable impacts of the policy and weather shocks. The fact that relatively better-off households have a more diversified income base following the shocks implies that the poor are more vulnerable to economic changes unaccompanied by well-designed safety nets.
Word Vector Compositionality based Relevance Feedback using Kernel Density Estimation

A limitation of standard information retrieval (IR) models is that the notion of term composionality is restricted to pre-defined phrases and term proximity. Standard text based IR models provide no easy way of representing semantic relations between terms that are not necessarily phrases, such as the equivalence relationship between `osteoporosis' and the terms `bone' and `decay'. To alleviate this limitation, we introduce a relevance feedback (RF) method which makes use of word embedded vectors. We leverage the fact that the vector addition of word embeddings leads to a semantic composition of the corresponding terms, e.g. addition of the vectors for `bone' and `decay' yields a vector that is likely to be close to the vector for the word `osteoporosis'. Our proposed RF model enables incorporation of semantic relations by exploiting term compositionality with embedded word vectors. We develop our model for RF as a generalization of the relevance model (RLM). Our experiments demonstrate that our word embedding based RF model significantly outperforms the RLM model on standard TREC test collections, namely the TREC 6,7,8 and Robust ad-hoc and the TREC 9 and 10 WT10G test collections.
Role Stressor As An Antecedent Of Employeesï¿½ Family Conflict: Empirical Evidence

The role of stressors is recognized as a crucial human resource development and management issue where it can have an overpowering consequence on organizational and employee performance. This study was conducted to discover the relationship between role stressor and family conflict using self-report questionnaires gathered from academic staff of a public comprehensive university in Sarawak, Malaysia. The outcomes of SmartPLS path model revealed three findings: first, role ambiguity significantly correlated with family conflict. Second, role conflict significantly correlated with family conflict. Third, role overload significantly correlated with family conflict. This finding demonstrates that role stressor is recognized in employeesi? ½ family conflict. The paper provides discussions, implications and conclusion.
Novel therapeutic strategies targeting tumor-stromal interactions in pancreatic cancer

Therapy-resistance and postoperative recurrence are causes of the poor prognosis in pancreatic cancer. Conventional therapies have a limited impact on the control of pancreatic cancer, resulting in the rapid re-growth of the tumor. The indispensable role of tumor-stromal interaction, which acts as a defender of cancer cells and enhances malignant potential, is being uncovered now. For example, specific signaling pathways for desmoplasia induction have been identified, such as sonic hedgehog (Shh) or connective tissue growth factor (CTGF), whose inhibition causes desmoplasia depletion and therapeutic advantages at least in in vivo mouse models of pancreatic cancer. Revolutions in drug delivery methods have led to the establishment of novel chemotherapeutic regimens, with better patient survival. Furthermore, mechanisms of immunosuppression in the pancreatic cancer-bearing host were clarified by the identification of myeloid-derived suppressor cells (MDSCs), which also promote disease progression. Strategies to target these components of the tumor stroma revealed certain anticancer effects in vitro and in vivo, suggesting the possibility of stroma-targeting therapy. Suppression of the stromal cell function increases the sensitivity of pancreatic cancer cells to therapeutic intervention. Further study will clarify the complex nature of the tumor microenvironment, the targeting of which has the potential to improve clinical outcome.
Interleaving Pattern Databases

Pattern databases are a method for improving search performance through the use of a pre-computed lookup table, which maps abstracted problem states to a lower bound on the cost for achieving the goal state. A wide variety of domain abstractions can be used to achieve a pattern database of a given size, and it is often the case that some abstractions provide better lower bounds than others. However, it is not usually the case that one abstraction’s efficacy strictly dominates another; an abstraction can provide good lower bounds for some puzzle states, and poor lower bounds for others. In this paper we explore the technique of interleavingtwo or more pattern databases in such a way that the overall pattern database size remains constant, but search performance is improved. A detailed evaluation of interleaving pattern databases for the 8-puzzle is presented, and a proposal for a generalized framework for interleaving pattern databases is applied to the 8-permutation puzzle.
Assessing multiple endpoints of atrazine ingestion on gravid northern watersnakes (Nerodia sipedon) and their offspring

Ecotoxicological studies that focus on a single endpoint might not accurately and completely represent the true ecological effects of a contaminant. Exposure to atrazine, a widely used herbicide, disrupts endocrine function and sexual development in amphibians, but studies involving live‐bearing reptiles are lacking. This study tracks several effects of atrazine ingestion from female Northern Watersnakes (Nerodia sipedon) to their offspring exposed in utero. Twenty‐five gravid N. sipedon were fed fish dosed with one of the four levels of atrazine (0, 2, 20, or 200 ppb) twice weekly for the entirety of their gestation period. Endpoints for the mothers included blood estradiol levels measured weekly and survival more than 3 months. Endpoints for the offspring included morphometrics, clutch sex ratio, stillbirth, and asymmetry of dorsal scales and jaw length. Through these multiple endpoints, we show that atrazine ingestion can disrupt estradiol production in mothers, increase the likelihood of mortality from infection, alter clutch sex ratio, cause a higher proportion of stillborn offspring, and affect scale symmetry. We emphasize the need for additional research involving other reptile species using multiple endpoints to determine the full range of impacts of contaminant exposure. © 2013 Wiley Periodicals, Inc. Environ Toxicol 29: 1072–1082, 2014.
An ω-Complete Equational Specification of Interleaving ? Extended Abstract

We consider the process theory PA that includes an operation for parallel composition, based on the interleaving paradigm. We prove that the standard set of axioms of PA is not ω-complete by providing a set of axioms that are valid in PA, but not derivable from the standard ones. We prove that extending PA with this set yields an ωcomplete specification, which is finite in a setting with finitely many actions.
Codebook-based Bayesian speech enhancement

In this paper, we propose a Bayesian approach for the estimation of the short-term predictor parameters of speech and noise, from the noisy observation. The resulting estimates of the speech and noise spectra can be used in a Wiener filter or any state-of-the-art speech enhancement system. We utilize a-priori information about both speech and noise in the form of trained codebooks of linear predictive coefficients. In contrast to current Bayesian estimation approaches that consider the excitation variances as part of the a-priori information, in the proposed method they are computed analytically based on the observation at hand. Consequently, the method performs well in nonstationary noise conditions. Experimental results confirm the superior performance of the proposed method compared to existing Bayesian approaches, such as those based on hidden Markov models.