Miracle-dz/UniFAR-FTUs huggingface dataset:
Efficient learning algorithms for changing environments

We study online learning in an oblivious changing environment. The standard measure of regret bounds the difference between the cost of the online learner and the best decision in hindsight. Hence, regret minimizing algorithms tend to converge to the static best optimum, clearly a suboptimal behavior in changing environments. On the other hand, various metrics proposed to strengthen regret and allow for more dynamic algorithms produce inefficient algorithms. We propose a different performance metric which strengthens the standard metric of regret and measures performance with respect to a changing comparator. We then describe a series of data-streaming-based reductions which transform algorithms for minimizing (standard) regret into adaptive algorithms albeit incurring only poly-logarithmic computational overhead. Using this reduction, we obtain efficient low adaptive-regret algorithms for the problem of online convex optimization. This can be applied to various learning scenarios, i.e. online portfolio selection, for which we describe experimental results showing the advantage of adaptivity.
The p.M292T NDUFS2 mutation causes complex I-deficient Leigh syndrome in multiple families

Isolated complex I deficiency is the most frequently observed oxidative phosphorylation defect in children with mitochondrial disease, leading to a diverse range of clinical presentations, including Leigh syndrome. For most patients the genetic cause of the biochemical defect remains unknown due to incomplete understanding of the complex I assembly process. Nonetheless, a plethora of pathogenic mutations have been described to date in the seven mitochondrial-encoded subunits of complex I as well as in 12 of the nuclear-encoded subunits and in six assembly factors. Whilst several mitochondrial DNA mutations are recurrent, the majority of these mutations are reported in single families. We have sequenced core structural and functional nuclear-encoded subunits of complex I in a cohort of 34 paediatric patients with isolated complex I deficiency, identifying pathogenic mutations in 6 patients. These included a novel homozygous NDUFS1 mutation in an Asian child with Leigh syndrome, a previously identified NDUFS8 mutation (c.236C>T, p.P79L) in a second Asian child with Leigh-like syndrome and six novel, compound heterozygous NDUFS2 mutations in four white Caucasian patients with Leigh or Leigh-like syndrome. Three of these children harboured an identical NDUFS2 mutation (c.875T>C, p.M292T), which was also identified in conjunction with a novel NDUFS2 splice site mutation (c.866+4A>G) in a fourth Caucasian child who presented to a different diagnostic centre, with microsatellite and single nucleotide polymorphism analyses indicating that this was due to an ancient common founder event. Our results confirm that NDUFS2 is a mutational hotspot in Caucasian children with isolated complex I deficiency and recommend the routine diagnostic investigation of this gene in patients with Leigh or Leigh-like phenotypes.
The molecular genetics of Marfan syndrome and related microfibrillopathies

Mutations in the gene for fibrillin-1 (FBN1) have been shown to cause Marfan syndrome, an autosomal dominant disorder of connective tissue characterised by pleiotropic manifestations involving primarily the ocular, skeletal, and cardiovascular systems. Fibrillin-1 is a major component of the 10-12 nm microfibrils, which are thought to play a role in tropoelastin deposition and elastic fibre formation in addition to possessing an anchoring function in some tissues. Fibrillin-1 mutations have also been found in patients who do not fulfil clinical criteria for the diagnosis of Marfan syndrome, but have related disorders of connective tissue, such as isolated ectopia lentis, familial aortic aneurysm, and Marfan-like skeletal abnormalities, so that Marfan syndrome may be regarded as one of a range of type 1 fibrillinopathies. There appear to be no particular hot spots since mutations are found throughout the entire fibrillin-1 gene. However, a clustering of mutations associated with the most severe form of Marfan syndrome, neonatal Marfan syndrome, has been noted in a region encompassing exons 24 to 32. The gene for fibrillin-2 (FBN2) is highly homologous to FBN1, and mutations inFBN2 have been shown to cause a phenotypically related disorder termed congenital contractural arachnodactyly. Since mutations in the fibrillin genes are likely to affect the global function of the microfibrils, the term microfibrillopathy may be the most appropriate to designate the spectrum of disease associated with dysfunction of these molecules. The understanding of the global and the molecular functions of the fibrillin containing microfibrils is still incomplete and, correspondingly, no comprehensive theory of the pathogenesis of Marfan syndrome has emerged to date. Many, but not all, fibrillin-1 gene mutations are expected to exert a dominant negative effect, whereby mutant fibrillin monomers impair the global function of the microfibrils. In this paper we review the molecular physiology and pathophysiology of Marfan syndrome and related microfibrillopathies.
Progressive dementia after first-ever stroke

Objectives: To examine the risk and determinants of a progressive dementia syndrome and cognitive impairment not dementia (CIND) in community-based nonaphasic first-ever stroke cases 1 year after stroke, relative to a matched community-based stroke-free group. Methods: Matched cohort design, with cognitive tests given on two occasions 9 months apart to 99 mild-to-moderate first-ever stroke patients and 99 age- and sex-matched people without stroke. At follow-up, progressive dementia or CIND were diagnosed, with judges blinded to stroke/nonstroke status. Results: Progressive dementia was diagnosed in 12.5% of stroke patients and 15.4% of those without strokes (RR 1.1, 95% CI 0.5 to 2.2, p = 0.85). CIND was diagnosed in 37.5% of stroke patients and 17.6% of participants without strokes (RR 2.1, 95% CI 1.2 to 3.4, p = 0.003). In multivariable regression, age (p = 0.04) and baseline cognition (p < 0.001) were independently associated with dementia whereas stroke (p = 0.002), age (p = 0.05), baseline cognition (p = 0.001), and baseline mood (p = 0.03) were independently associated with CIND at follow-up. Conclusions: In this community-based nonaphasic sample, mild-to moderate first-ever stroke was not associated with the presence of progressive dementia 1 year later, but was clearly associated with a greater risk of cognitive impairment not dementia (CIND). Baseline mood impairment remained independently associated with CIND at 1 year after taking into account stroke, age, and baseline cognitive ability.
Towards systems biology of developing barley grains : a framework for modeling metabolism

Modeling of plant metabolism offers new approaches to improve the understanding of complex biological processes. In this paper we present a framework for the constraintbased stoichiometric analysis of crop plant metabolic models, which combines tools for (1) model reconstruction, (2) model analysis (i.e. flux balance analysis), and (3) model visualization. The approach is illustrated by describing its application to the modeling of cereal seed metabolism.
Cranial variation in the Marquesas Islands.

The Marquesas Islands have traditionally been divided into a northwestern and a southeastern group, a division which reflects language dialect differences. Additionally, archaeological studies have also suggested that differences in material culture existed between the northwestern and southeastern islands. This study examines Marquesan cranial discrete and metric traits to evaluate the level of intra-archipelago heterogeneity, and to determine if a northwest/southeast division is evident cranially. The data consist of 28 cranial discrete traits and 49 craniofacial measurements of prehistoric Marquesans. Male and female data are pooled for discrete trait and metric data, following a Z-score standardization technique adjustment. The data represent three island samples: Nuku Hiva (northwest), Fatuiva (southeast), and a combined Tahuata/Hiva 'Oa (southeast). Of the 28 discrete traits, 16 are utilized in a mean measure of divergence analysis that provides scores of 0.259 for Fatuiva-Tahuata/Hiva 'Oa, 1.850 for Nuku Hiva-Fatuiva, and 1.491 for Nuku Hiva-Tahuata/Hiva 'Oa. Of the 49 craniofacial measurements, 46 are utilized in RMET/NORM analyses, providing unbiased D(2) values of 0.0433 for Fatuiva-Tahuata/Hiva 'Oa, 0.1328 for Nuku Hiva-Fatuiva, and 0.0813 for Nuku Hiva-Tahuata/Hiva 'Oa. The islands of the southeastern group are closer to each other than either was to the island of the northwestern group. When a sample from 'Ua Huka is included in the craniometric analysis, the unbiased D(2) values of 0.0829, 0.1175, and 0.0431 are calculated for 'Ua Huka and Nuku Hiva, and Fatuiva and Tahuata/Hiva 'Oa pairings, respectively, indicating a close similarity of 'Ua Huka to the southeastern islands. Mean measure of divergence analysis of cranial discrete traits as well as RMET/NORM analyses of craniometric variables reveal that differences exist between the islands of the northwestern and southeastern Marquesas Islands. These results support previous research that documented linguistic and cultural differences between these regions of the archipelago. However, the results indicate that 'Ua Huka, an island traditionally included in the northwestern Marquesas Islands, has an affinity to the southeastern Marquesas Islands, possibly due to its pivotal position as a waypoint in the Marquesas Island interaction sphere.
Hyperopt-Sklearn: Automatic Hyperparameter Configuration for Scikit-Learn

Hyperopt-sklearn is a new software project that provides automatic algorithm configuration of the Scikit-learn machine learning library. Following Auto-Weka, we take the view that the choice of classifier and even the choice of preprocessing module can be taken together to represent a single large hyper- parameter optimization problem. We use Hyperopt to define a search space that encompasses many standard components (e.g. SVM, RF, KNN, PCA, TFIDF) and common patterns of composing them together. We demonstrate, using search algorithms in Hyperopt and standard benchmarking data sets (MNIST, 20-Newsgroups, Convex Shapes), that searching this space is practical and effective. In particular, we improve on best-known scores for the model space for both MNIST and Convex Shapes.
Coordinate System Archive for coevolution

Problems in which some entities interact with each other are common in computational intelligence. This scenario, typical for co-evolving artificial-life agents, learning strategies for games, and machine learning from examples, can be formalized as test-based problem. In test-based problems, candidate solutions are evaluated on a number of test cases (agents, opponents, examples). It has been recently shown that at least some of such problems posses underlying problem structure, which can be formalized in a notion of coordinate system, which spatially arranges candidate solutions and tests in a multidimensional space. Such a coordinate system can be extracted to reveal underlying objectives of the problem, which can be then further exploited to help coevolutionary algorithm make progress. In this study, we propose a novel coevolutionary archive method, called Coordinate System Archive (COSA) that is based on these concepts. In the experimental part, we compare COSA to two state-of-the-art archive methods, IPCA and LAPCA. Using two different objective performance measures, we find out that COSA is superior to these methods on a class of artificial problems (COMPARE-ON-ONE).
Monkey hippocampal neurons related to spatial and nonspatial functions.

1. Neural activity in the monkey hippocampal formation (HF) was analyzed during a spatial moving task in which the monkey was guided by auditory and visual cues and when stimuli were presented from various directions. The monkey could control a motorized, movable device (cab) and its route to a target location by pressing the proper one of five available bars in an appropriate sequence (spatial moving task). In any of several locations in the field, neural responses were evident in relation to the presentation of various objects or human movement in some relative direction (left, anterior, right) as a directional stimulus test. 2. Of 238 hippocampal neurons analyzed, 172 (72.3%, 238-66) responded in either the spatial moving task, or to the direction from which stimulation was presented, or to the location of the monkey in the field, or to some combination of these. 3. The activity of 79 (33.2%) neurons was higher when the monkey was in some specific location in the field during the spatial moving task, regardless of the approach route or other task parameters (place related neurons). 4. Responses to the task cues in the spatial moving task were evident in 110 (46.3%) neurons (task related neurons). Of these, 77 (32.4%) neurons were not place related. The remaining 33 (13.9%) neurons were both task related and place related. These neurons responded to task cues in only that part of the field in which place related responses occurred. The neural response to the task cues disappeared when the monkey moved out of the place response region. The place related and task related neural responses disappeared when the room light was switched off. Thus information from the environment outside of the cab contributed to the place related and task related responses. 5. Stimuli presented from certain specific directions induced responses, selectively, in 41 (17.2%) of the neurons (direction related neurons). The dependence of the preferred direction was described in one of three ways--egocentric, allocentric, or place-direction specific. Nineteen egocentric neurons responded to a stimulus only when it was presented from a certain direction relative to the orientation of the monkey, regardless of the location of the monkey. Eleven allocentric neurons responded to a stimulus only when it was presented at a particular position in the room, regardless of the location or orientation of the monkey. (ABSTRACT TRUNCATED AT 400 WORDS)
Correlation verification between transistor variability model with body biasing and ring oscillation frequency in 90nm subthreshold circuits

This paper presents modeling of manufacturing variability and body bias effect for subthreshold circuits based on measurement of a device array circuit in a 90 nm technology. The device array consists of P/NMOS transistors and ring oscillators. This work verifies the correlation between the variation model extracted from IV measurement results and oscillation frequencies, which means the transistor-level variation model is examined and confirmed in terms of circuit performance. We demonstrate that delay variations of subthreshold circuits are well characterized with two parameters - threshold voltage and subthreshold swing parameter. We reveal that body bias effect is a less statistical phenomenon and threshold voltage shift by body biasing can be modeled deterministically.
Intrusive luxation of permanent incisors in Norwegians aged 6-17 years: a retrospective study of treatment and outcome.

BACKGROUND/AIM External replacement resorption (ankylosis-related) is a severe complication leading eventually to tooth loss. Little information exists regarding the influence of variables such as degree of intrusion or treatment method on the development of replacement resolution in intruded permanent incisors. The aim of this study was to report the most frequently involved age group, the preferred type of treatment, and the type and frequency of healing complications. Special attention was paid to the effect of treatment on the occurrence of replacement resorption. MATERIAL AND METHODS Fifty-one intruded permanent incisors were studied in 20 boys and 19 girls aged 6 to 17 years. Only three patients were over 12 years of age. Complete intrusion had occurred in 21 teeth, and 31 teeth were classified as immature. Re-eruption was awaited for 37 teeth. The remaining teeth were repositioned orthodontically (7 teeth) or surgically (7 teeth). RESULTS Re-eruption occurred in 35 out of 37 teeth over a period of 3-12 months. After a mean observation period of 4 years ranging from 1-12 years, retained pulp vitality was recorded in 22 teeth (43%). Pulp necrosis had developed in 57%, inflammatory resorption in 26% and replacement resorption in 12%. Whereas all inflammatory resorptions were arrested after long-term calcium hydroxide treatment, replacement resorption always led to complete root resorption. In the analysis all orthodontic and surgical repositioned teeth were combined into an active treatment group. The non-active treatment group consisted of teeth allowed to re-erupt. The distribution of replacement resorption was significantly lower in teeth allowed to re-erupt than in teeth repositioned actively. CONCLUSIONS The best treatment of intruded incisors in 6-12 year-old children is to await re-eruption. Should endodontic treatment be required before re-eruption has occurred, a gingivectomy can be performed to gain access to the root canal.
Diabetic Retinopathy Detection via Deep Convolutional Networks for Discriminative Localization and Visual Explanation

We proposed a deep learning method for interpretable diabetic retinopathy (DR) detection. The visual-interpretable feature of the proposed method is achieved by adding the regression activation map (RAM) after the global averaging pooling layer of the convolutional networks (CNN). With RAM, the proposed model can localize the discriminative regions of an retina image to show the specific region of interest in terms of its severity level. We believe this advantage of the proposed deep learning model is highly desired for DR detection because in practice, users are not only interested with high prediction performance, but also keen to understand the insights of DR detection and why the adopted learning model works. In the experiments conducted on a large scale of retina image dataset, we show that the proposed CNN model can achieve high performance on DR detection compared with the state-of-the-art while achieving the merits of providing the RAM to highlight the salient regions of the input image.
Characterization of the coatings covering esthetic orthodontic archwires and their influence on the bending and frictional properties.

OBJECTIVE To analyze the coatings covering esthetic orthodontic wires and the influence of such coatings on bending and frictional properties. MATERIALS AND METHODS Four commercially available, coated esthetic archwires were evaluated for their cross-sectional dimensions, surface roughness (Ra), nanomechanical properties (nanohardness, nanoelastic modulus), three-point bending, and static frictional force. Matched, noncoated control wires were also assessed. RESULTS One of the coated wires had a similar inner core dimension and elasticity compared to the noncoated control wire, and no significant differences between their static frictional forces were observed. The other coated wires had significantly smaller inner cores and lower elasticity compared to the noncoated wires, and one of them showed less static frictional force than the noncoated wire, while the other two coated wires had greater static frictional force compared to their noncoated controls. The dimension and elastic modulus of the inner cores were positively correlated (r = 0.640), as were frictional force and total cross-sectional (r = 0.761) or inner core (r = 0.709) dimension, elastic modulus (r = 0.777), nanohardness (r = 0.802), and nanoelastic modulus (r = 0.926). The external surfaces of the coated wires were rougher than those of their matched controls, and the Ra and frictional force were negatively correlated (r = -0.333). CONCLUSIONS Orthodontic coated wires with small inner alloy cores withstand less force than expected and may be unsuitable for establishing sufficient tooth movement. The frictional force of coated wires is influenced by total cross-section diameter, inner core diameter, nanohardness, nanoelastic modulus, and elastic modulus.
Effects of quality antecedents on e-learning acceptance

Purpose – The main purpose of this study is to examine whether quality factors as the antecedents to learner beliefs can affect learners' intention to use an e‐learning system.Design/methodology/approach – This study gathered sample data from eight high‐tech companies in Taiwan. A total of 680 questionnaires were randomly distributed, 522 questionnaires were returned for a response rate of 76.76 percent, and 483 usable questionnaires were analyzed, with a usable response rate of 71.03 percent. Data were analyzed by using structural equation modeling.Findings – Information quality, service quality, system quality, and instructor quality, as the antecedents of e‐learning acceptance can provide detailed accounts of the key forces underpinning employees' perception with regard to their beliefs (i.e. perceived usefulness, perceived ease of use, and perceived enjoyment), and this situation can further enhance employees' usage intention of the e‐learning system.Originality/value – Based on the extended technolog.
Machine Translation for Monolinguals

We describe sister machine translation prototypes, Ntran, an English to Japanese system developed at UMIST, and Aidtrans, Japanese to English, at Sheffield, both designed for use by an English monolingual. Aidtrans uses extensive and sophisticated collocational analysis radically to reduce the need for conventional post-editing. Ntran offers interactive query at three stages: on-line dictionary update, syntactic disambiguation, and Japanese lexical selection. The second of these is described and illustrated in particular detail, and the underlying philosophy of monolingual interaction discussed.
Compounding the Triple Jeopardy

Over the last 15 years, societal awareness of spouse abuse has resulted in an extensive network of services, legislative reform, and research initiatives focused on increasing the public response to this serious social problem. More recently, battering in intimate lesbian relationships has gained the attention of women's and gay/lesbian organizations that deal with domestic violence issues. Lesbians in violent relationships differ significantly from heterosexual couples where battering occurs due to the powerful effect of societal homophobia that silences them from seeking help. This article will address the unique challenges faced by lesbians of color in violent relationships due to the interface not only between violence and homophobia, but racism as well. Analysis of community response by lesbians of color, and clinical issues presented in therapy by lesbians of color who are battered will also be discussed.
A Non-Parametric Bayesian Approach to the Instrumental Variable Problem

We develop a Bayesian non-parametric approach to the instrumental variable problem. A Dirichlet process prior is used for the joint distribution of structural and instrumental variable equations errors. This can be interpreted as modeling the unknown joint distribution with a mixture of normal distributions with a variable number of mixture components. We demonstrate that this procedure is both feasible and sensible using actual and simulated data. Sampling experiments compare inferences from the non-parametric Bayesian procedure with those based on procedures from the recent literature on weak instrument asymptotics. When errors are non-normal, our non-parametric procedure is more efficient than standard Bayesian or classical methods.
DANCR promotes HCC progression and regulates EMT by sponging miR‐27a‐3p via ROCK1/LIMK1/COFILIN1 pathway

This research aims to verify that the long non‐coding RNA differentiation antagonizing nonprotein coding RNA (LncRNA DANCR) could modulate the proliferation and metastasis of hepatocellular carcinoma (HCC), and it thus may work as a novel biomarker to render new orientation for early diagnosis and clinical therapy of HCC.