Miracle-dz/UniFAR-FTUs huggingface dataset:
Probing the ladder of dressed states and nonclassical light generation in quantum-dot-cavity QED

A single-optical mode confined inside an optical cavity behaves like a simple harmonic oscillator, where all the energy levels are equally spaced. When this cavity mode is strongly coupled to a two-level quantum emitter such as a quantum dot (QD), the energy structure of the coupled system becomes anharmonic. This anharmonic (Jaynes-Cummings) ladder has been recently probed in atomic [1] and superconducting [2] cavity quantum electrodynamics (cQED) systems. Nonclassical correlations between photons transmitted through the cavity can result from such anharmonicity, which in turn leads to fundamental phenomena of photon blockade and photon-induced tunneling. These effects have been recently demonstratedinatomicsystems[3],aswellasinthesolid-state platform [4]. Moreover, photon blockade and photon-induced tunnelingcanbeusedforapplicationsbeyondcQED,including the generation of single photons on demand [5] for quantum information processing, high precision sensing and metrology [6], as well as quantum simulation of complex many-body systems [7]. In this Rapid Communication, we explore the utility of the photon-induced tunneling and blockade for nonclassical light generation and probing of higher-order dressed states in the solid-state cQED system consisting of a single QD coupled to a photonic crystal cavity. First, we provide numerical simulation data showing that photon-induced tunneling can be used to preferentially generate specific multiphoton states. Following this, we present experimental data demonstrating the transition from a blockade to tunneling regimeinsuchasystemandshowthesignatureofhigher-order dressed states observed in the measured photon statistics. The probing of the ladder of dressed states by photon-correlation measurement has previously been performed experimentally only in an atomic cavity QED system [1], while in solid-state systems it has been studied theoretically [8] and signatures of higher-order dressed states were observed only using four wave mixing [9]. The dynamics of a coupled QD-cavity system, coherently driven by a laser field [Fig. 1(a)], is well described by the
A new approach to SMS Text Steganography using Emoticons

One of the widely used service provided by mobile phones is the Short Messaging Services. It enables the user to send short messages to the receiver he/she intends to communicate. This paper proposes a new method at text steganography where the emoticons that are so generously and frequently used in SMS’s are used to hide information, particularly an alphabet or a number.
Reconstructing the rules of 1 D cellular automata using closure systems ?

We consider the problem of identifying the rules conforming the local map of a cellular automaton; we explore the capabilities of a closure-based algorithm for this task. The algorithm has been previously proven to identify an optimal Horn-like formula true for the data, in a very precise mathematical sense. A key property of the algorithm is its ability to handle a sequential structure on the data and lift it to the Horn-like rules, thus making it apt to compare the rules it obtains with the ones that originated the data. The outcomes of the experimentation are described.
Determinants of Turnover Intention of Social Workers

This research explores determinants of turnover intention of social workers. Retention of social workers is critical in the social welfare field because a high turnover rate is directly related to the deterioration of service quality. Of the many factors affecting turnover intention, this research focuses on emotional labor and organizational trust. The former characterizes social workers’ tasks in that they are regularly in contact with service clients. Surface acting, one of the emotional labor strategies, has shown a negative impact on employee attitudes. However, representing a psychological state of employees toward their organization, organizational trust leads to positive attitudes and behaviors. This research also explores antecedents of emotional labor and organizational trust. Interaction characteristics of emotional labor are considered for the former, and supervisory support and autonomy are tested for the latter. To examine the relationships among the variables, the research conducts structural equation model analysis on 242 social workers in South Korea. The analysis confirms that emotional labor increases turnover intention whereas trust reduces it. The analysis also demonstrates that autonomy and supervisory support enhance organizational trust, while surface acting is affected by the variety of emotions displayed and the duration of emotional labor.
nterpersonal and intrapersonal links to body appreciation in college women : An xploratory model my

Based on theory and findings from qualitative and quantitative research, we developed and investigated a model of positive body image. This model placed body appreciation in a mediating role, linking interpersonal (caregiver eating messages, adult attachment) and intrapersonal (perfectionism) variables to intuitive eating and depressive symptoms. Path analysis supported our model for 249 college women. Restrictive/critical caregiver eating messages, attachment anxiety, and discrepancy (maladaptive) perfectionism inversely predicted body appreciation, while order (adaptive) perfectionism positively predicted
Weakly Supervised Learning of Presupposition Relations between Verbs

Presupposition relations between verbs are not very well covered in existing lexical semantic resources. We propose a weakly supervised algorithm for learning presupposition relations between verbs that distinguishes five semantic relations: presupposition, entailment, temporal inclusion, antonymy and other/no relation. We start with a number of seed verb pairs selected manually for each semantic relation and classify unseen verb pairs. Our algorithm achieves an overall accuracy of 36% for type-based classification.
Prevalence of Undiagnosed Diabetes in Rheumatoid Arthritis: an OGTT Study

AbstractRheumatoid arthritis (RA) is a chronic inflammatory disease characterized by an excess of cardiovascular disease (CVD) risk, estimated to be at least 50% greater when compared to the general population. Although the widespread diffusion of type 2 diabetes mellitus (T2DM) awareness, there is still a significant proportion of patients with T2DM that remain undiagnosed. Aim of this cross-sectional study was to evaluate the prevalence of undiagnosed diabetes and prediabetes in RA patients.For the present study, 100 consecutive nondiabetic RA patients were recruited. Age- and sex-matched subjects with noninflammatory diseases (osteoarthritis or fibromyalgia) were used as controls. After overnight fasting, blood samples were obtained for laboratory evaluation including serum glucose, total cholesterol, high-density lipoprotein (HDL)-cholesterol, low-density lipoprotein (LDL)-cholesterol, triglycerides, uric acid, erythrocyte sedimentation rate (ESR), high sensitivity C-reactive protein (hs-CRP), rheumatoid factor (RF), and anti-Cyclic Citrullinated Peptide Antibodies (ACPA). A standard Oral Glucose Tolerance Test (OGTT) with 75 g of glucose was performed and blood samples were collected at time 0, 30, 60, 90, and 120 minutes, for measurement of plasma glucose concentrations.The prevalence of impaired fasting glucose (IFG) (9/100 vs 12/100, P = 0.49), impaired glucose tolerance (IGT) (19/100 vs 12/100, P = 0.17), and concomitant IFG/IGT (5/100 vs 9/100, P = 0.27) was similar between groups, whereas the prevalence of diabetes was significantly higher in RA patients (10/100 vs 2/100, P = 0.02). In a logistic regression analysis, increasing age (OR = 1.13, 95% CI 1.028–1.245, P = 0.01) and disease duration (OR = 1.90, 95% CI 1.210–2.995, P = 0.005) were both associated with an increased likelihood of being classified as prediabetes (i.e. IFG and/or IGT) or T2DM. A ROC curve was built to evaluate the predictivity of disease duration on the likelihood of being diagnosed with T2DM. The area under the ROC curve was 0.67 (95% CI: 0.56–0.78, P = 0.004). We identified the best cut-off of 33 months that yielded a sensitivity of 61% and a specificity of 70% for classification of T2DM patients.According to our data, RA seems to be characterized by an elevated prevalence of undiagnosed diabetes, especially in patients with longer disease duration.
Retrieval of shoemarks using Harris points and SIFT descriptor

In this paper, we suggest a solution for the problem of scene-of-crime shoeprints retrieval based on the use of multi-scale Harris points, which are a set of very distinctive points of interest in an image, combined with SIFT descriptor. We show that such combination can overcome the issue of retrieval of partial prints in the presence of scale and rotation distortions with Gaussian noise perturbation. Excellent results were obtained for synthetic scene images, clearly outperforming published results in the literature.
Extracellular Matrix Influences on Gene Expression

cialist working in the area under discussion or to individuals involved in very closely related areas of research. Within these limits, both the clinical and basic immunologist will find the first of two of these articles to be extremely useful, while immunochemists will no doubt value all three. The study of histocompatibility antigens is becoming increasingly important since apart from their obvious role in histocompatibility itself, there has been a rapidly accumulating body of evidence to suggest that the cell membrane antigens play a fundamental role in conditioning some host reactions and that the genetic factors controlling the expression of these antigens are thus able to control much of the cell's internal environment and behavior. Most of the data presented in the article on antibody heterogeneity support the view that antibody variability is achieved by an evolutionary process. However, it is certainly not clear how antibody diversity is maintained in different species, and this important problem is reviewed. The significance of the finding that certain streptococcal vaccines can produce large amounts of restricted antipolysaccharide antibodies is discussed in detail, and the factors contributing to the occurrence of a monoclonal type of response are well outlined. Locked away in the mysteries surrounding the maintenance of antibody heterogeneity are many important genetic secrets and much important biological information ranging from the generation of diversity among antigen recognition units on the surface of lymphocytes to the nature of the stimulus that might provoke a malignant response. The third article clearly outlines the potential of yeast as a model organism for studying basic questions concerning nucleic acid synthesis. One of the great advantages of this organism is the ease with which genetic analysis can be performed, and it seems that this model will produce an in-depth investigation of the mechanism of DNA replication. In each of these articles the writing is disciplined but expressive, the references are both numerous and relevant, and in general this issue of this popular series can be highly recommended to those interested in the areas covered. The articles contain many good figures, and an excellent subject index is supplied.
The Impact of Socio-Emotional Intelligence Training on Teacher's Performance

Researchers and practitioners suggest acquisition of socio-emotional intelligence skills and competencies for the teacher in the age of stresses, individualism, and materialisms; to improve teacher’s effectiveness and performance and to raise a socially and emotionally intelligent child. The study contains an investigation of the impact of socio-emotional intelligence training on teacher performance and productivity. Results indicate that socio-emotional intelligence has a positive correlation with teacher performance. Results show positive impacts of Socio-emotional intelligence training on teachers’ performance and productivity. Data were analyzed for gender and qualification variable using SPSS, Cronbach Alpha was calculated, and descriptive statistics were used for data analysis. Researchers and practitioners suggest acquisition of socio-emotional intelligence skills and competencies for the teacher in the age of stresses, individualism, and materialisms; to improve teacher’s effectiveness and performance and to raise a socially and emotionally intelligent child. The study contains an investigation of the impact of socio-emotional intelligence training on teacher performance and productivity. Results indicate that socio-emotional intelligence has a positive correlation with teacher performance. Results show positive impacts of Socio-emotional intelligence training on teachers’ performance and productivity. Data were analyzed for gender and qualification variable using SPSS, Cronbach Alpha was calculated, and descriptive statistics were used for data analysis.
Development of control strategy for load sharing in grid-connected PV power system

In a power system of conventional parallel connected generators, share of real power and reactive var of an incoming generator are controlled by adjusting shaft power input and field excitation. The scenario of load sharing by a grid connected PV system is however different since no prime mover or excitation source are present. Due to serious power crisis, there are needs for evacuation of PV power to grid systems. However, this needs intensive analysis on the load sharing phenomena. In this paper, aspects of load sharing of a grid connected PV system are analyzed, and a strategy is proposed where the load sharing task can be undertaken controlling both modulation index and phase angle of the inverter. It is seen that both real power and reactive var are affected upon change in index of modulation and phase angle of the PV inverter. Analysis and simulation results are presented to demonstrate effectiveness of the proposed control technique.
Modeling bias temperature instability during stress and recovery

Bias temperature instability has attracted a lot of attention as a dominant degradation mechanism in modern MOS transistors. Despite considerable effort, the exact physics behind this mechanisms are still controversial. We discuss some numerical aspects of our recently presented model which is capable of reproducing the main features of the phenomenon. Furthermore, we demonstrate how the model can be applied to understand variations in nominally identically stressed devices which have become important in the small area limit.
Neutralization of Human Papillomavirus with Monoclonal Antibodies Reveals Different Mechanisms of Inhibition

ABSTRACT The mechanisms of human papillomavirus (HPV) neutralization by antibodies are incompletely understood. We have used HPV16 pseudovirus infection of HaCaT cells to analyze how several neutralizing monoclonal antibodies (MAbs) generated against HPV16 L1 interfere with the process of keratinocyte infection. HPV16 capsids normally bind to both the cell surface and extracellular matrix (ECM) of HaCaT cells. Surprisingly, two strongly neutralizing MAbs, V5 and E70, did not prevent attachment of capsids to the cell surface. However, they did block association with the ECM and prevented internalization of cell surface-bound capsids. In contrast, MAb U4 prevented binding to the cell surface but not to the ECM. The epitope recognized by U4 was inaccessible when virions were bound to the cell surface but became accessible after endocytosis, presumably coinciding with receptor detachment. Treatment of capsids with heparin, which is known to interfere with binding to cell surface heparan sulfate proteoglycans (HSPGs), also resulted in HPV16 localization to the ECM. These results suggest that the U4 epitope on the intercapsomeric C-terminal arm is likely to encompass the critical HSPG interaction residues for HPV16, while the V5 and E70 epitopes at the apex of the capsomer overlap the ECM-binding sites. We conclude that neutralizing antibodies can inhibit HPV infection by multiple distinct mechanisms, and understanding these mechanisms can add insight to the HPV entry processes.
Fracture Analysis and Size Effects in Failure of Sea Ice

This study, l dedicated to professor Arnold Kerr of the University of Delaware, is based on the premise (recently validated by Dempsey's in-situ tests) that large-scale failure of sea ice is governed by cohesive fracture mechanics. The paper presents simplified analytical solutions for (1) the load capacity of floating ice plate subjected to vertical load and (2) the horizontal force exerted by an ice plate moving against a fixed structure. The solutions clarify the fracture mechanism and agree with the previous numerical simulations based on cohesive fracture mechanics. They confirm the presence of a strong deterministic size effect. For the case of vertical load, the size effect approximately follows the size effect law proposed in 1984 by Baiant. In the case of an ice plate moving against a fixed obstacle, radial cleavage of the ice plate in the direction opposite to ice movement causes a size effect of structure diameter which follows linear elastic fracture mechanics for small enough diameters but becomes progressively weaker as the diameter increases. The present solutions contradict the earlier solutions based on material strength or plasticity theories, which exhibit no size effect. Introduction Based on the classical studies of Kerr (1975) and'many others (see Kerr, 1996, for a review), the failure of sea ice has until recently been analyzed exclusively according to the material strength criteria, in the form of either plasticity, or elasticity with a strength limit. Recently, however, it transpired that this classical approach, which is known to agree with small-size field tests and normal laboratory experiments, is adequate only for small-scale failure, but not for large-scale failure (e.g., failure of a floating ice sheet more than about 0.5 m thick). The reason is that the classical approach exhibits no size effect on the nominal strength of structure. Until recently, whenever a size effect was observed in tests, it was explained by Weibull theory of strength randomness. However, such an explanation of size effect is dubious because the maximum load in ice failure is usually not reached at the initiation of fracture but only after large stable crack growth (e.g., Baiant and Planas, 1998; Baiant, 1997a; Baiant and Chen, 1997; Baiant, 2002a; Baiant, 2004; RILEM, 2004). Rather, the explanation must be sought in quasibrittle fracture mechanics. Recently, fractality of fracture surfaces or microcrack distributions was suggested as a source of structural size effects, but this idea also does not pass rigorous scrutiny (Baiant, 1997b; Bazant and Yavari, 2004). Various recent experiments (Dempsey, 1991; DeFranco and Dempsey, 1994; DeFranco, Wei, and Dempsey, 1991), especially Dempsey's in-situ tests of record-size specimens (Dempsey et aI., 1999a,b; Mulmule et aI., 1995; Dempsey et aI., 1995), indicate that sea ice does follow 1 A major part of this paper is reproduced from the paper Bazant (2001), and a smaller from Bazant (2000). Thanks are due to the editors of these works for their permission.
A synthesis of convenience survey and other data to estimate undiagnosed HIV infection among men who have sex with men in England and Wales.

BACKGROUND Hard-to-reach population subgroups are typically investigated using convenience sampling, which may give biased estimates. Combining information from such surveys, a probability survey and clinic surveillance, can potentially minimize the bias. We developed a methodology to estimate the prevalence of undiagnosed HIV infection among men who have sex with men (MSM) in England and Wales aged 16-44 years in 2003, making fuller use of the available data than earlier work. METHODS We performed a synthesis of three data sources: genitourinary medicine clinic surveillance (11 380 tests), a venue-based convenience survey including anonymous HIV testing (3702 MSM) and a general population sexual behaviour survey (134 MSM). A logistic regression model to predict undiagnosed infection was fitted to the convenience survey data and then applied to the MSMs in the population survey to estimate the prevalence of undiagnosed infection in the general MSM population. This estimate was corrected for selection biases in the convenience survey using clinic surveillance data. A sensitivity analysis addressed uncertainty in our assumptions. RESULTS The estimated prevalence of undiagnosed HIV in MSM was 2.4% [95% confidence interval (95% CI 1.7-3.0%)], and between 1.6% (95% CI 1.1-2.0%) and 3.3% (95% CI 2.4-4.1%) depending on assumptions; corresponding to 5500 (3390-7180), 3610 (2180-4740) and 7570 (4790-9840) men, and undiagnosed fractions of 33, 24 and 40%, respectively. CONCLUSIONS Our estimates are consistent with earlier work that did not make full use of data sources. Reconciling data from multiple sources, including probability-, clinic- and venue-based convenience samples can reduce bias in estimates. This methodology could be applied in other settings to take full advantage of multiple imperfect data sources.
A Scheme for Skeleton-Based Shape Deformation

In this paper, we propose a new scheme for free-form skeleton-driven global mesh deformations. First a Voronoi-based skeletal mesh is extracted from a given original mesh. Next the skeletal mesh is modified by free-form deformations. Then a desired global shape deformation is obtained by reconstructing the shape corresponding to the deformed skeletal mesh. Finally, using a displaced subdivision surface representation improves the speed and robustness of our approach.
Validation of the New Lucerne ICF Based Multidisciplinary Observation Scale (LIMOS) for Stroke Patients

Background Valid and multidisciplinary assessment of a stroke patient's ability to perform activities of daily living is very important to define individual goals and to plan targeted rehabilitation. Until today, there is no observation scale that relies on International Classification of Functioning, Disability and Health (ICF). The aim of the present study was to develop and evaluate the reliability and validity of a new multidisciplinary observation scale for stroke patients, shortly called LIMOS, which is based on ICF. Methods In a first phase, LIMOS was defined, using a Delphi approach, by an expert panel and a pilot testing was conducted in a small group of stroke patients (n =10) to investigate feasibility and practicability. In a second phase, LIMOS was assessed for its reliability (internal consistency and test-retest reliability) and validity in a large cohort of stroke patients (n = 102). For convergent validity, the correlation between total scores of the LIMOS and the Functional Independence Measure (FIM) was assessed. Results LIMOS consisted of seven ICF chapters incorporating 45 domains. A high internal consistency (=0.98) of LIMOS was found. Furthermore, good test-retest reliability at item and subscale level was found. Principal component analysis revealed that among the seven ICF chapters, four components could be found: (1) interpersonal activities, mobility and self-care, (2) communication, (3) knowledge and general tasks, and (4) domestic life. Significant associations were found between LIMOS and the FIM indicating good convergent validity. Conclusions The new LIMOS is a reliable and valid observation scale for stroke patients based on ICF, which can be used by a multidisciplinary team working in a neurorehabilitation setting.