Miracle-dz/UniFAR-FTUs huggingface dataset:
KEYWORD SEARCH IN HANDWRITTEN DOCUMENTS

The problem of word recognition in databases of handwritten documents is addressed. The particular approach taken exploits the natural line-oriented structure present in handwritten material, which facilitates the search and allows the utilization of the temporal information embedded in the data. The proposed method is based on elastic matching between features extracted from the keywords, provided as search inputs, and the document candidate words. The feature-space distance between the input and candidate words serves as a basis for estimating the probability of a correct match, where the probabilities obtained for different feature sets are combined to give a single final estimate. Several different search modes are considered in a series of experiments that quantify the effectiveness of the current approach. Future improvements of the method, as well as its extensions to other related search problems are suggested.
Spatial Presence and Emotional Responses to Success in a Video Game: A Psychophysiological Study

We examined the relationship of self-reported Spatial Presence with emotion-related psychophysiological responses to success (reaching the goal) in a video game among 36 young adults. Event-related changes in facial electromyographic (EMG) activity (an index of emotional valence), electrodermal activity (EDA; an index of arousal), and cardiac interbeat intervals (IBIs) were recorded. The results showed that Spatial Presence was associated with an increase in zygomatic and orbicularis oculi, and a decrease in corrugator supercilii, EMG activity in response to reaching the goal. Spatial Presence was also positively related to EDA, but unrelated to IBI. High Spatial Presence may result in a greater increase in positive affect, and a greater reduction in negative affect, in response to a positive event. Spatial Presence exerts an influence on both the valence and arousal dimensions of emotions. Phasic corrugator supercilii EMG activity may be a particularly useful measure in Presence research.
Relative Cohort Size, Relative Income, and Women’s Labor Force Participation 1968-2010

Relative cohort size – the ratio of young to prime-age adults – and relative income – the income of young adults relative to their material aspirations, as instrumented using the income of older families their parents' age – have experienced dramatic changes over the past 40 years. Relative cohort size has been shown to cause a decline in men's relative wages – the wages of young relative to prime-age workers – due to imperfect substitutability, and the results here show that this applies perhaps even more strongly to women's relative – and absolute – starting wage. Relative cohort size first declined by 30% and then increased by 47%. Results here show that those changes explain about 60% of the declines in women's starting wage – both relative and absolute – in the first period, and 100% of its increase in the second. Relative income is hypothesized to affect a number of demographic choices by young adults, including marriage, fertility and female labor force participation, as young people strive to achieve their desired standard of living. Older family income – the denominator in a relative income variable – increased by 58.6% between 1968 and 2000, and then declined by 9%. Its changes explain 66% of the increase in the labor force participation of women in their first five years out of school between 1968 and 2000, and 75% of its decline thereafter. The study makes use of individual-level measures of labor force participation, with instrumented wages, and employs the lagged income of older families in a woman’s year-state-race-education group to instrument parental income and hence material aspirations.
La régulation du «nouveau capitalisme ». Analyses positives et recommandations normatives comparées

Les approches en termes de régulation ont analysé l’avènement du « nouveau capitalisme » à partir de trois types d’hypothèse : la crise du fordisme, le capitalisme cognitif et la violence de la monnaie. Cette dernière hypothèse est ici privilégiée. Les recommandations normatives par certains de ses partisans s ’ordonnent parfois autour de l ’allocation universelle, la réforme du droit du travail ou encore l’actionnariat salarié. En vertu du principe selon lequel «on ne saurait déduire ce qui doit être de ce qui est », ces recommandations ne découlent aucunement de l’analyse positive proposée.
Superpixel appearance and motion descriptors for action recognition

This paper introduces a novel video representation based on superpixel segmentation and appearance and motion descriptors. Superpixel represents a very useful preprocessing step for a wide range of computer vision applications, as they group pixels into perceptually meaningful atomic regions which can be used for recognizing complex motion patterns. We construct a novel video representation in terms of superpixel-based histograms of oriented gradients (HOG), histograms of optical flow (HOF) and motion boundary histograms (MBH) descriptors, and integrate such representations with a bag-of-features (BoF) model for classification. The proposed approach is evaluated in the context of action classification on a challenging benchmark dataset: UCF Sports dataset and it achieves 87.9% generalization accuracy. The experimental results demonstrate the advantage of superpixel-based descriptors compared to other approaches for human action recognition.
Protective Actions of 17β-Estradiol and Progesterone on Oxidative Neuronal Injury Induced by Organometallic Compounds

Steroid hormones synthesized in and secreted from peripheral endocrine glands pass through the blood-brain barrier and play a role in the central nervous system. In addition, the brain possesses an inherent endocrine system and synthesizes steroid hormones known as neurosteroids. Increasing evidence shows that neuroactive steroids protect the central nervous system from various harmful stimuli. Reports show that the neuroprotective actions of steroid hormones attenuate oxidative stress. In this review, we summarize the antioxidative effects of neuroactive steroids, especially 17β-estradiol and progesterone, on neuronal injury in the central nervous system under various pathological conditions, and then describe our recent findings concerning the neuroprotective actions of 17β-estradiol and progesterone on oxidative neuronal injury induced by organometallic compounds, tributyltin, and methylmercury.
A Myriad Filter Detector for UWB Multiuser Communication

UWB multiple access interference is known to be non-Gaussian. Work has attempted to design better UWB detectors by approximating the distribution of the multiple access interference by a non-Gaussian noise model. In this paper, a non-linear detector is proposed, which is inspired by the empirical finding that the UWB multiple access interference can be better modeled by a symmetric-alpha-stable distribution than the Laplacian, generalized Gaussian, Cauchy and Gaussian distributions. The new detector which is adaptive to the current interference-plus-noise condition is found to outperform many other non-Gaussian (non-linear) detectors proposed for UWB multiuser communication.
From Nash to Lindahl in Climate Change Policy

To reach an international agreement on the cost of abatement of climate change, one needs to specify a fair burden sharing rule. This paper evaluates different burden sharing rules in terms of their redistributive impact and by the extent to which they realize the aim of optimal abatement. It is shown that for all regions and almost all countries, the Lindahl solution, where the burden sharing rule of carbon abatement is determined by each countryâ€™s willingness to pay, is to be preferred above the noncooperative Nash outcome. Poor countries and regions however would prefer the social planner outcome with a global permit market, because then the burden sharing rule is given a secondary role of income redistribution from rich to poor, on top of its primary role of assigning abatement burdens.
Surveying Europe’s Only Cave-Dwelling Chordate Species (Proteus anguinus) Using Environmental DNA

In surveillance of subterranean fauna, especially in the case of rare or elusive aquatic species, traditional techniques used for epigean species are often not feasible. We developed a non-invasive survey method based on environmental DNA (eDNA) to detect the presence of the red-listed cave-dwelling amphibian, Proteus anguinus, in the caves of the Dinaric Karst. We tested the method in fifteen caves in Croatia, from which the species was previously recorded or expected to occur. We successfully confirmed the presence of P. anguinus from ten caves and detected the species for the first time in five others. Using a hierarchical occupancy model we compared the availability and detection probability of eDNA of two water sampling methods, filtration and precipitation. The statistical analysis showed that both availability and detection probability depended on the method and estimates for both probabilities were higher using filter samples than for precipitation samples. Combining reliable field and laboratory methods with robust statistical modeling will give the best estimates of species occurrence.
A graph-theoretical approach for the computation of connected iso-surfaces based on volumetric data

The existing combinatorial methods for iso-surface computation are efficient for pure visualization purposes, but it is known that the resulting iso-surfaces can have holes, and topological problems like missing or wrong connectivity can appear. To avoid such problems, we introduce a graph-theoretical method for the computation of iso-surfaces on cuboid meshes in $\mathbb{R}^3$. The method for the generation of iso-surfaces employs labeled cuboid graphs $G(V,E,\mathcal{F})$ such that $V$ is the set of vertices of a cuboid $C\subset\mathbb{R}^3$, $E$ is the set of edges of $C$ and $\mathcal{F}\,:\,V\rightarrow [0,1]$. The nodes of $G$ are weighted by the values of $\mathcal{F}$ which represents the volumetric information, e.g.\ from a Volume of Fluid method. Using a given iso-level $c\in (0,1)$, we first obtain all iso-points, i.e.\ points where the value $c$ is attained by the edge-interpolated $\mathcal{F}$-field. The iso-surface is then built from iso-elements which are composed of triangles and are such that their polygonal boundary has only iso-points as vertices. All vertices lie on the faces of a single mesh cell. We give a proof that the generated iso-surface is connected up to the boundary of the domain and it can be decomposed into different oriented components. Two different components may have discrete points or line segments in common. The graph-theoretical method for the computation of iso-surfaces developed in this paper enables to recover local information of the iso-surface that can be used e.g.\ to compute discrete mean curvature and to solve surface PDEs. Concerning the computational effort, the resulting algorithm is as efficient as existing combinatorial methods.
Histone Demethylase JMJD2B Functions as a Co-Factor of Estrogen Receptor in Breast Cancer Proliferation and Mammary Gland Development

Estrogen is a key regulator of normal function of female reproductive system and plays a pivotal role in the development and progression of breast cancer. Here, we demonstrate that JMJD2B (also known as KDM4B) constitutes a key component of the estrogen signaling pathway. JMJD2B is expressed in a high proportion of human breast tumors, and that expression levels significantly correlate with estrogen receptor (ER) positivity. In addition, 17-beta-estradiol (E2) induces JMJD2B expression in an ERα dependent manner. JMJD2B interacts with ERα and components of the SWI/SNF-B chromatin remodeling complex. JMJD2B is recruited to ERα target sites, demethylates H3K9me3 and facilitates transcription of ER responsive genes including MYB, MYC and CCND1. As a consequence, knockdown of JMJD2B severely impairs estrogen-induced cell proliferation and the tumor formation capacity of breast cancer cells. Furthermore, Jmjd2b-deletion in mammary epithelial cells exhibits delayed mammary gland development in female mice. Taken together, these findings suggest an essential role for JMJD2B in the estrogen signaling, and identify JMJD2B as a potential therapeutic target in breast cancer.
Addressing Today’s Talent Gap: An Inductive Investigation into Balancing the Demand and Supply of 21st Century Workforce Talent

Institutions of higher education are under immense pressure to become more aware of market demands and the role they play in offering the supply-side for the demand. This article highlights the disconnect between skills organizations need/demand and the supply of those skills, talent, and knowledge from university graduates. Specifically, a deficiency in work ethic, passion, and drive (possibly termed “the right attitude”) was noted as a vital gap. Additionally, and importantly, these personal attributes along with continuous learning, the ability to innovate, and communication skills emerged as key characteristics needed among the workforce today.
SEARCH FOR CARBON MONOXIDE IN THE ATMOSPHERE OF THE TRANSITING EXOPLANET HD 189733b

Water, methane, and carbon monoxide are expected to be among the most abundant molecules besides molecular hydrogen in the hot atmosphere of close-in extrasolar giant planets. Atmospheric models for these planets predict that the strongest spectrophotometric features of those molecules are located at wavelengths ranging from 1 to 10 μm making this region of particular interest. Consequently, transit observations in the mid-infrared (mid-IR) allow the atmospheric content of transiting planets to be determined. We present new primary transit observations of the hot-Jupiter HD 189733b, obtained simultaneously at 4.5 and 8 μm with the Infrared Array Camera onboard the Spitzer Space Telescope. Together with a new refined analysis of previous observations at 3.6 and 5.8 μm using the same instrument, we are able to derive the system parameters, including planet-to-star radius ratio, impact parameter, scale of the system, and central time of the transit from fits of the transit light curves at these four wavelengths. We measure the four planet-to-star radius ratios, to be (Rp/R⋆)3.6 μm = 0.1545 ± 0.0003, (Rp/R⋆)4.5 μm = 0.1557 ± 0.0003, (Rp/R⋆)5.8 μm = 0.1547 ± 0.0005, and (Rp/R⋆)8 μm = 0.1544 ± 0.0004. The high accuracy of the planet radii measurement allows the search for atmospheric molecular absorbers. Contrary to a previous analysis of the same data set, our study is robust against systematics and reveals that water vapor absorption at 5.8 μm is not detected in this photometric data set. Furthermore, in the band centered around 4.5 μm we find a hint of excess absorption with an apparent planetary radius ΔRp/R* = 0.00128 ± 0.00056 larger (2.3σ) than the one measured simultaneously at 8 μm. This value is 4σ above what would be expected for an atmosphere where water vapor is the only absorbing species in the near-IR. This shows that an additional species absorbing around 4.5 μm could be present in the atmosphere. Carbon monoxide (CO) being a strong absorber at this wavelength is a possible candidate and this may suggest a large CO/H2O ratio between 5 and 60.
Analyzing and Re-structuring Product Line Dependencies

Software product lines have proven to be successful for developing many critical software systems. Sharing thoroughly tested components can greatly improve the quality of individual products. The structuring of commonality and variability in the product line creates dependencies among features and components. Because of the dependencies, individual products may be bloated with features and components not required by the product specification. This increases complexity and resource consumption, affecting product quality negatively. We propose a method for analyzing product line dependencies for identifying unnecessary features. If these features are found, the method also addresses how to correct the situation. Our approach is demonstrated with a running example and our experiences in real industrial cases are discussed.
GRIN2B Gene and Associated Brain Cortical White Matter Changes in Bipolar Disorder: A Preliminary Combined Platform Investigation

Abnormalities in glutamate signaling and glutamate toxicity are thought to be important in the pathophysiology of bipolar disorder (BD). Whilst previous studies have found brain white matter changes in BD, there is paucity of data about how glutamatergic genes affect brain white matter integrity in BD. Based on extant neuroimaging data, we hypothesized that GRIN2B risk allele is associated with reductions of brain white matter integrity in the frontal, parietal, temporal, and occipital regions and cingulate gyrus in BD. Fourteen patients with BD and 22 healthy controls matched in terms of age, gender and handedness were genotyped using blood samples and underwent diffusion tensor imaging. Compared to G allele, brain FA values were significantly lower in BD patients with risk T allele in left frontal region (P = 0.001), right frontal region (P = 0.002), left parietal region (P = 0.001), left occipital region (P = 0.001), right occipital region (P < 0.001), and left cingulate gyrus (P = 0.001). Further elucidation of the interactions between different glutamate genes and their relationships with such structural, functional brain substrates will enhance our understanding of the link between dysregulated glutamatergic neurotransmission and neuroimaging endophenotypes in BD.
Parallel Feature Extraction through Preserving Global and Discriminative Property for Kernel-Based Image Classification

Kernel-based feature extraction is widely used in image classiﬁcation, and diﬀerent kernel methods extract the features based diﬀerent criterion. KPCA maximizes the determinant of the total scatter matrix of the transformed sample, while KDA seeks the direction of discrimination. KPCA preserves the global property, and KDA utilizes class information to enhance its discriminative ability so as to perform better than KPCA in classiﬁcations. To apply the global property and discriminant ability of features, we propose a novel parallel feature fusion method based maximum margin criterion, namely discriminant parallel feature fusion. The advantage of algorithm lies in: 1) A constrained optimization problem based on maximum margin criterion is created to solve the optimal fusion coeﬃcients to be most discriminant in the fused feature space. 2) An unique solu-tion of optimization problem is transformed to an eigenvalue problem, which causes the proposed fusion strategy to perform consistently. Besides of the detailed theory derivation, many experimental evaluations also are presented in this paper.
Profitable Candlestick Trading: Pinpointing Market Opportunities to Maximize Profits

Preface to the New Edition. Acknowledgments. Chapter 1: Introduction. Chapter 2: Reversal Patterns. Chapter 3: Continuation Patterns. Chapter 4: Major Signals Explained. Chapter 5: Finding and Learning the Signals Made Easy. Chapter 6: Common Patterns. Chapter 7: Revolutionizing Investor Psychology. Chapter 8: Analyzing Profitable Trades. Chapter 9: Maximizing Profits. Chapter 10: Trading Programs. Chapter 11: Using Candlesticks to Improve Elliot Wave Analysis Chapter 12: Option Trading Refined. Chapter 13: Candlesticks with Commodities and Futures. Chapter 14: Trend Analysis: Improving the Probabilities. Chapter 15: Eliminating Mental Trading Flaws with Candlestick Analysis. Chapter 16: Candlestick Trading Rules. Chapter 17: Conclusion. Glossary. About the Author. Index.
Knowledge-Based Self-Management of Apache Web Servers

Today, more than 70% of all Internet sites are using Apache web servers. Furthermore, some indications are given that 40% of all web delays are due to badly tuned web servers. Consequently, we consider the tuning of web-servers to be a very relevant, practical problem. In this paper we outline an experimental set-up (graduate thesis) aiming at self-tuning of Apache web servers. First, we describe the problem domain, and then we give an overall architecture in the second section. Short analysis of related work and research is given in the third section. We conclude with projections and expectations from our research and experiments. Index Terms – web server, self-management, knowledgebased, self-tuning, automation
Is atherosclerosis in diabetes and impaired fasting glucose driven by elevated LDL cholesterol or by decreased HDL cholesterol?

OBJECTIVE To evaluate the atherogenicity of lipids in coronary patients with normal fasting glucose (NFG), impaired fasting glucose (IFG), and type 2 diabetes. RESEARCH DESIGN AND METHODS Serum lipid values, the presence of angiographic coronary artery disease (CAD) at baseline, and the incidence of vascular events over 2.3 years were recorded in 750 consecutive patients undergoing coronary angiography. RESULTS Triglycerides significantly (P < 0.001) increased and HDL cholesterol (P < 0.001) as well as LDL particle diameter (P < 0.001) significantly decreased from subjects with NFG <5.6 mmol/l (n = 272) over patients with IFG > or =5.6 mmol/l (n = 314) to patients with type 2 diabetes (n = 164). Factor analysis revealed two factors in the lipid profiles of our patients: triglycerides, HDL cholesterol, apolipoprotein A1, and LDL particle diameter loaded high on an HDL-related factor, and total cholesterol, LDL cholesterol, and apolipoprotein B loaded high on an LDL-related factor. In patients with type 2 diabetes, the HDL-related factor (odds ratio 0.648 [95% CI 0.464-0.904]; P = 0.011), but not the LDL-related factor (0.921 [0.677-1.251]; P = 0.597), was associated with significant coronary stenoses > or =50%. Consistently, in the prospective study, the HDL-related factor (0.708 [0.506-0.990]; P = 0.044), but not the LDL-related factor (1.362 [0.985-1.883]; P = 0.061), proved significantly predictive for vascular events in patients with type 2 diabetes. CONCLUSIONS The low HDL cholesterol/high triglyceride pattern is associated with the degree of hyperglycemia. In coronary patients with type 2 diabetes, this pattern correlates with the prevalence of CAD and significantly predicts the incidence of vascular events.
Structural and Spectral Properties of Deterministic Aperiodic Optical Structures

In this comprehensive paper we have addressed structure-property relationships in a number of representative systems with periodic, random, quasi-periodic and deterministic aperiodic geometry using the interdisciplinary methods of spatial point pattern analysis and spectral graph theory as well as the rigorous Green’s matrix method, which provides access to the electromagnetic scattering behavior and spectral fluctuations (distributions of complex eigenvalues as well as of their level spacing) of deterministic aperiodic optical media for the first time.
Multi-Cycle Measuring and Data Fusion for Large End Face Run-Out of Tapered Roller

The large end face run-out is a kind of shape and position tolerance, and is an important index in deciding the class of the tapered roller. The auto-measuring and sorting equipments for the tapered roller introduced in this article is an intelligent measuring equipment that orientates in pursuing measurement and choosing of every tapered roller on grinding spot. According to professional standard about the tapered roller, the large end face run-out (notated as SDW) must be measured dynamically during revolving on normal V-shape table. In order to eliminate the disturbance caused by electromagnetism interference and machine vibration, this equipment adopts multi-cycle measuring under single sensor, making better use of the regeneration of the sampling signal and based on analysis of the main factors leading to the large end face run-out and signal characteristics. On the other hand, two kinds of signal-characteristics-based data association threshold filtering algorithm and an improved weight arithmetic mean data fusion algorithm are applied on data processing software embedded in it. This equipment has been proved by practical application and has obtained a Chinese patent.