Miracle-dz/UniFAR-FTUs huggingface dataset:
Subspace-based face recognition: outlier detection and a new distance criterion

Illumination effects, including shadows and varying lighting, make the problem of face recognition challenging. Experimental and theoretical results show that the face images under different illumination conditions approximately lie in a low-dimensional subspace, hence principal component analysis (PCA) or low-dimensional subspace techniques have been used. Following this spirit, we propose new techniques for the face recognition problem, including an outlier detection strategy (mainly for those points not following the Lambertian reflectance model), and a new error criterion for the recognition algorithm. Experiments using the Yale-B face database show the effectiveness of the new strategies.
Chinese Unknown Word Identification Using Character-based Tagging and Chunking

Since written Chinese has no space to delimit words, segmenting Chinese texts becomes an essential task. During this task, the problem of unknown word occurs. It is impossible to register all words in a dictionary as new words can always be created by combining characters. We propose a unified solution to detect unknown words in Chinese texts. First, a morphological analysis is done to obtain initial segmentation and POS tags and then a chunker is used to detect unknown words.
Human time production under constant routine

Abstract Previous reports have suggested that human time production of several seconds fluctuates across the day. In order to test whether human time production was controlled by the circadian process or by the homeostatic process, we investigate diurnal fluctuation of human time production under constant routine conditions. We found a common circadian feature in time production tests of 10 s by calculating Z‐score for each subject; afternoon troughs and morning peaks. These results may suggest that human time production was modulated by the circadian process.
The pH of the Skin Surface and Its Impact on the Barrier Function

The ‘acid mantle’ of the stratum corneum seems to be important for both permeability barrier formation and cutaneous antimicrobial defense. However, the origin of the acidic pH, measurable on the skin surface, remains conjectural. Passive and active influencing factors have been proposed, e.g. eccrine and sebaceous secretions as well as proton pumps. In recent years, numerous investigations have been published focusing on the changes in the pH of the deeper layers of the stratum corneum, as well as on the influence of physiological and pathological factors. The pH of the skin follows a sharp gradient across the stratum corneum, which is suspected to be important in controlling enzymatic activities and skin renewal. The skin pH is affected by a great number of endogenous factors, e.g. skin moisture, sweat, sebum, anatomic site, genetic predisposition and age. In addition, exogenous factors like detergents, application of cosmetic products, occlusive dressings as well as topical antibiotics may influence the skin pH. Changes in the pH are reported to play a role in the pathogenesis of skin diseases like irritant contact dermatitis, atopic dermatitis, ichthyosis, acne vulgaris and Candida albicans infections. Therefore, the use of skin cleansing agents, especially synthetic detergents with a pH of about 5.5, may be of relevance in the prevention and treatment of those skin diseases.
Study on the Immunomodulation Effect of Isodon japonicus Extract via Splenocyte Function and NK Anti-Tumor Activity

Here we investigated the potential immune-enhancing activity of Isodon japonicus on murine splenocyte and natural-killer (NK) cells in vitro. The ethanol extract of I. japonicus significantly enhanced the proliferation of splenocyte and induced the significant enhancement of NK cells’ activity against tumor cells (YAC-1). In addition, I. japonicus increased the production of interferon (IFN)-γ and tumor necrosis factor (TNF)-α, suggesting that the increase in NK cell cytotoxicity could be due to the enhancement of the NK cell production of both cytokines. Taken together, I. japonicus extract inhibited the growth of human leukemia cells (K562) by 74%. Our observation indicated that the anti-tumor effects of I. japonicus may be attributed to its ability to serve as a stimulant of NK anti-tumor activity. In addition, our results support the development of functional food studies on I. japonicus.
Psychiatric and Behavioural Disorders in Intellectual and Developmental Disabilities: Diagnosis of mental disorders in people with intellectual disabilities

Introduction Classification of mental disorders in people with intellectual disabilities (ID) continues to be a very active field since the last edition of this book (Sturmey, 1999). This chapter reviews the importance and functions of classification as well as psychometric properties that any adequate classification system must have. It then goes on to review classification in relation to intellectual disabilities, mental health and classification of mental health issues in people with ID. The final section highlights the changes that have occurred and areas for future development. The importance and functions of classification Classification is often seen as a hallmark of science: atomic theory and the Linnaean system advanced their respective folk technologies into sciences. Yet, nineteenth-century Alienists were reluctant to classify madness beyond insanity and mental deficiency. As psychiatry strived towards scientific respectability, classification progressed vigorously, especially in the twentieth century. Kraepelin (Kihlstrom, 2002) developed taxonomy of insanity into 15 aetiological classes. In the end he had to admit that the effort was in vain, and that classification by course and prognosis was more promising. The precursors of the Diagnostic and Statistical Manual (DSM) implied aetiology, but were based on presenting symptoms, as putative causes could not be observed. Presenting symptoms continue to be cardinal features of DSM and the International Classification of Disease (ICD). Critics of the early DSM-I and II noted that they were both explicitly psychoanalytical in orientation and did not guide the diagnostician as to the specific symptoms and were hence unreliable.
Nonlinear and Filtered Force/Position Mappings in Bilateral Teleoperation With Application to Enhanced Stiffness Discrimination

Motivated by applications involving soft-tissue manipulation such as robotic surgery, the transparency objectives in bilateral teleoperation are redefined to include monotonic nonlinear and linear-time-invariant filter mappings between the master/slave position and force signals. To demonstrate the utility of the new performance measures, a stiffness discrimination telemanipulation task of soft environments is considered. A nonlinear force mapping can enhance stiffness discrimination thresholds as shown through a set of psychophysics experiments. Lyapunov-based adaptive motion/force controllers are presented that can achieve the new transparency objectives in the presence of dynamic uncertainty in the master, slave, user, and environment and in the absence of time delay. Given a priori known bounds on unknown dynamic parameters, a framework for robust stability analysis is proposed that uses an off-axis circle criterion and the Nyquist envelope of interval plant systems. Nonlinear- and linear-filtered mappings are achieved in experiments with a two-axis teleoperation system.
Delay-dependent robust unknown input observer for nonlinear time-delay systems

In this paper we address the problem of robust unknown input observer design for continuous nonlinear time-delay systems. To investigate the robustness of the studied system, we compare between two approaches both dependent on the delay, the first one is based on a standard ℋ∞ method and the second on Sobolev norms. New sufficient synthesis conditions are given in Linear Matrix Inequality (LMI) form.
A Note On the Statistical Difference of Small Direct Products

We demonstrate that if two probability distributions D and E of sufficiently small minentropy have statistical difference e, then the direct-product distributions D l and E l have statistical difference at least roughly e √ l, provided that l is sufficiently small, smaller than roughly 1/e 4/3 . Previously known bounds did not work for few repetitions l, requiring l> 1/e 2 .
Early start of DOAC after ischemic stroke

Objective: In patients with recent acute ischemic stroke (AIS) and atrial fibrillation, we assessed the starting time of direct, non–vitamin K antagonist oral anticoagulants (DOACs) for secondary prevention, the rate of intracranial hemorrhage (ICH), and recurrent ischemic events during follow-up. Methods: We included consecutive patients with nonvalvular atrial fibrillation admitted to our hospital for AIS or TIA (index event) who received secondary prophylaxis with DOAC or vitamin K antagonists (VKAs). Follow-up was at least 3 months. In the primary analysis, we compared rates of ICH and recurrent ischemic events (AIS or TIA) between patients with early (≤7 days since event; DOACearly) and those with late (>7 days, DOAClate) start of DOAC. Results: Two hundred four patients were included (median age 79 years, 89% AIS) and total follow-up time was 78.25 patient-years. One hundred fifty-five patients received DOAC with a median delay of 5 days after the index event (interquartile range 3–11) and 49 received VKA. DOAC was started early in 100 patients (65%). We observed one ICH (1.3%/y) and 6 recurrent AIS (7.7%/y). The ICH occurred in a patient taking VKA. No significant difference in the rate of recurrent AIS between DOACearly (5.1%/y) and DOAClate (9.3%/y, p = 0.53) was observed. Conclusions: Even if DOACs are often started early after an index event, the risk of ICH appears to be low. Among all patients receiving anticoagulation, the rate of recurrent events was 6 times higher than the rate of ICH.
Cognition-based Task Routing: Towards Highly-Effective Task-Assignments in Crowdsourcing Settings

In recent years the rising popularity of outsourcing work to crowds has led to increasing importance to find an effective assignment of suitable workers with tasks. Even though attempts have been made in related areas such as expertise identification most crowdsocuring jobs today are assigned without any predefined policy. Whilst some have investigated assigning jobs based on availability or experience no dominant method has been identified so far. We propose an assignment of tasks to crowd-workers based on their cognitive capability, by conducting a set of cognitive tests and comparing them with performance on typical crowdtasks. Moreover, we examine different setups to predict task performance where a) cognitive abilities, b) performance on previous crowdtasks, or c) both of them, are partially known. Preliminary results show that cognition-based task assignment leads to an improvement in task performance prediction and may pave the way to more intelligent crowd-worker recruitment.
User Fees for Recreation Services on Public Lands: A National Assessment

A portion of the 1995 National Survey on Recreation and the Environment examined public opinion toward user fees as a means of funding recreation services on public lands, including campgrounds, boat ramps, trails, picnic areas, historic sites, restrooms, parking areas, special exhibits & presentations, visitor centers, and other facilities. Respondents were offered five choices to fund these services including fees only, fees and taxes, taxes only, don't provide the service, and don't know. Sample frequencies indicated that over 9 5 percent of the respondents felt that fees or a combination of fees and taxes should be used to fund at least one of the services. Boat ramps, campgrounds, and special exhibits drew the most support for users fees with over 80 percent of respondents indicating that user fees should be charged to cover at least part of the costs of providing these services. User fees were least favored for picnic areas, historic sites, and restrooms. Restrooms were the only case in which less than 50 percent of the public favored the use offees to cover at least part of the provision costs. The only service for which at least 50 percent of the public did not feel taxes should be used at least in part to cover the costs of provision was for boat ramps. Logistic regression models were used to examine the socioeconomic factors explaining support for fees. The model included variables on age, ethnicity, income, household size, education, gender, and region of the country. Findings were somewhat mixed. However, in a general fee model and in a number of specific service models, income and ethnicity surfaced as significant explanatory variables, indicating that concerns about fairness in the implementation of fees are not unfounded. Moreover, a number of regional differences emerged indicating differing levels of support for user fees around the country.
The effect of attitudes and economic activity on marriage

We use individual-level prospective data from Waves I and II of the [U.S.] National Survey of Families and Households to examine whether attitudes are responsible for sex and race differences in marriage rates net of economic opportunity. We find that persons expressing positive attitudes about marriage are significantly more likely to marry and favorable assessments of marriage accentuate the positive effects of economic attributes on marriage odds. However structural not cultural differences account for the large racial differences in marriage rates. This is a revised version of a paper originally presented at the 1996 Annual Meeting of the Population Association of America. (EXCERPT)
ArchRanker: A ranking approach to design space exploration

Architectural Design Space Exploration (DSE) is a notoriously difficult problem due to the exponentially large size of the design space and long simulation times. Previously, many studies proposed to formulate DSE as a regression problem which predicts architecture responses (e.g., time, power) of a given architectural configuration. Several of these techniques achieve high accuracy, though often at the cost of significant simulation time for training the regression models.We argue that the information the architect mostly needs during the DSEprocess is whether a given configuration will perform better than another one in the presences ofdesign constraints, or better than any other one seen so far, rather than precisely estimating the performance of that configuration. Based on this observation, we propose a novel rankingbased approach to DSE where we train a model to predict which of two architecture configurations will perform best. We show that, not only this ranking model more accurately predicts the relative merit of two architecture configurations than an ANN-based state-of-the-art regression model, but also that it requires much fewer training simulations to achieve the same accuracy, or that it can be used for and is even better at quantifying the performance gap between two configurations. We implement the framework for training and using this model, called ArchRanker, and we evaluate it on several DSE scenarios (unicore/multicore design spaces, and both time and power performance metrics). We try to emulate as closely as possible the DSE process by creating constraint-based scenarios, or an iterative DSEprocess. We find that ArchRanker makes 29.68% to 54.43% fewer incorrect predictions on pairwise relative merit of configurations (tested with 79,800 configuration pairs) than an ANN-based regression model across all DSE scenarios considered (values averaged over all benchmarks for each scenario). We also find that, to achieve the same accuracy as ArchRanker, the ANN often requires three times more training simulations.
Using dynamic programming to create isotopic distribution maps from mass spectra

MOTIVATION This article presents a method to identify the isotopic distributions within a mass spectrum using a probabilistic classifier supplemented with dynamic programming. Such a system is needed for a variety of purposes, including generating robust and meaningful features from mass spectra to be used in classification. RESULTS The primary result of this article is that the dynamic programming approach significantly improves sensitivity, without harming specificity, of a probabilistic classifier for identifying the isotopic distributions. When annotating isotopic distributions where an expert has performed the initial 'peak-picking' (removal of noise peaks), the dynamic programming approach gives a true positive rate of 96% and a false positive rate of 0.0%, whereas the classifier alone has a true positive rate of only 47% when the false positive rate is 0.0%. When annotating isotopic distributions in machine peak-picked spectra, which may contain many noise peaks, the dynamic programming approach gives a true positive rate of only 22.0%, but it still keeps a low false positive rate of 1.0% and still outperforms the classifier alone. It is important to note that all these rates are when we require exact matches with the distributions in annotated spectra; in our evaluation a distribution is considered 'entirely incorrect' if it is missing even one peak or contains even one extraneous peak. We compared to the THRASH and AID-MS systems using a looser requirement: correctly identifying the distribution that contains the mono-isotopic mass. Under this measure, our dynamic programming approach achieves a true positive rate of 82% and a false positive rate of 1%, which again outperforms the classifier alone. The dynamic programming approach ends up being more conservative than THRASH and AID-MS, yielding both fewer true and false peaks, but the F-score of the dynamic programming approach is significantly better than those of THRASH and AID-MS. All results were obtained with 10-fold cross-validation of 99 sections of mass spectra with a total of 214 hand-annotated isotopic distributions. AVAILABILITY Programs are available via http://www.cs. wisc.edu/~mcilwain/IDM.
AIF-Mediated Programmed Necrosis: A Highly Orchestrated Way to Die

Historically, two main forms of cell death have been distinguished: apoptosis and necrosis. Apoptosis was initially considered as the only physiological and programmed form of cell death. This type of death is recurrently associated with caspases, a family of cysteine proteases activated in apoptotic conditions. However, it is now widely recognized that programmed cell death (PCD) can also occur in the complete absence of caspase activation. The existence of non-caspase PCD pathways was corroborated by the discovery of caspase-independent executioners, such as the mitochondrial protein Apoptosis-Inducing Factor (AIF). Necrosis has often been viewed as an accidental and uncontrolled cell death process. Nevertheless, increasing evidence shows that, like apoptosis, necrosis could be a highly regulated type of PCD. Indeed, apoptosis and necrosis present more similarities than it has been originally thought. Here, we summarize the different classifications of PCD and the current knowledge of a necrotic PCD pathway mediated by AIF: alkylating DNA-damage mediated death. We also outline the molecular mechanisms controlling this form of PCD and discuss their potential relevance in physiological and pathological settings. These emerging data on the molecular mechanisms regulating programmed necrosis may certainly have potent therapeutic consequences in treating both apoptotic-resistant tumors and degenerating adult neurons.
The prevalence of Salmonella enteritidis and other Salmonella spp. among Canadian registered commercial chicken broiler flocks

SUMMARY A nation-wide survey was conducted to estimate the prevalence of Salmonella enteritidis and other salmonellas among Canadian commercial broiler flocks. Environmental (litter and/or water) samples from 226 of 294 (76·9%) randomly selected flocks were contaminated with salmonellas. Litter samples were more often contaminated with salmonellas than water samples (47·4 ν 12·3%). Fifty different salmonella serovars were isolated. The most prevalent serovars were S. hadar, S. infantis, and S. schwarzengrund; they were isolated from samples of 98/294 (33·3%), 26/294 (8·8%), and 21/294 (7·1%) flocks, respectively. Feed samples of 39/290 (13·4%) flocks were contaminated with salmonellas. Salmonella enteritidis was isolated from the environmental samples of 9/294 (3·1%) flocks. Salmonella enteritidis phage type (PT) 8 was isolated from seven flocks, and PT 13a from two flocks.
Cognition Enhancement Strategies

Many mental disorders and neurodegenerative and neurodevelopmental diseases involve cognitive deficits. Remarkable advances and new technologies are providing a clearer picture of the molecular basis of cognition. In conjunction with an SFN2010 symposium, we provided here a brief overview of the molecular mechanisms of cognition, with emphasis on the development of treatments for cognitive disorders. Activity-dependent changes in gene expression and protein synthesis integrate with synapse selection to form memory circuits. A neuronal activity-dependent molecular tagging system that uses the gene expression program to record memory circuit formation represents one new tool to study cognition. Regulation of protein translation, protein degradation, cytoskeletal dynamics, extracellular matrix interactions, second messenger signaling, and neurotransmitter receptor trafficking and function are all components of synaptic remodeling essential for cognition. Selective targeting of specific effectors in these processes, such as NMDA receptors, may serve as an effective strategy to treat cognitive deficits.
[Temporal and spatial changes of α7nAChR and nNOS in cerebral cortex and hippocampus of Aβ-induced cognitive dysfunction rats].

The present study was to explore the temporal and spatial distributions and variations of α7 nicotinic acetylcholine receptor (α7nAChR) and neuronal nitric oxide synthetase (nNOS) in cerebral cortex and hippocampus of Aβ-induced cognitive dysfunction rats. Sixty Sprague-Dawley (SD) rats were randomly divided into six groups. Three experimental groups were intracerebroventricularly (i.c.v.) injected with condensed-amyloid beta peptides 1-42 (Aβ1-42, 2.5 µg/µL, 4 µL) and were observed on day 7 (7 d Aβ group), day 14 (14 d Aβ group) and day 21 (21 d Aβ group), respectively. Three control groups were i.c. v. injected with equivalent volume of normal saline and observed at the same time points as the experimental groups. The learning and memory abilities of rats were tested with Y-maze; the locations and protein expression levels of α7nAChR and nNOS in cerebral cortex and hippocampal CA1, CA3, DG regions were measured by immunohistochemistry and Western blot, respectively. The result showed that, compared with the control groups, the three experimental groups exhibited decreased learning and memory behavioral abilities, and down-regulated expressions of nNOS and α7nAChR in prefrontal cortex and hippocampal regions, especially in superficial layer of prefrontal cortex and hippocampal CA3 region. Comparisons among the three experimental groups showed that the inhibitory effects of Aβ on the abilities of learning and memory and the expressions of α7nAChR and nNOS in prefrontal cortex and hippocampus were time dependent. The results suggest that the coincident declines of α7nAChR and nNOS in prefrontal cortex and hippocampus may be the foundations of the cognitive dysfunction.