Miracle-dz/UniFAR-FTUs huggingface dataset:
Automated Classification of Skippers based on Parts Representation

American Entomologist • Winter 2008 Unlike pathway and multiaccess keys, which use diagnostic morphological characters, NemaScope uses point-and-click visual matching that allows users to navigate through a collection of images until images similar to specimens under investigation are found. High-definition multifocal images of genera provide the basis for the initial photos and can be viewed when additional morphological information is needed.
Adaptive Anchoring Discretization for Learnable Evolution Model: The ANCHOR Method

This research has been conducted in the Machine Learning and Inference Laboratory at the School of Computational Sciences, George Mason University. The Laboratory's research has been supported in part by the National Science Foundation under Grants No. IIS-9906858 and IIS-0097476, and in part by the UMBC/LUCITE #32 grant.
Sentiment Analysis of Movie Reviews using Hybrid Method of Naive Bayes and Genetic Algorithm

The area of sentiment mining (also called sentiment extraction, opinion mining, opinion extraction, sentiment analysis, etc.) has seen a large increase in academic interest in the last few years. Researchers in the areas of natural language processing, data mining, machine learning, and others have tested a variety of methods of automating the sentiment analysis process. In this research work, new hybrid classification method is proposed based on coupling classification methods using arcing classifier and their performances are analyzed in terms of accuracy. A Classifier ensemble was designed using Naive Bayes (NB), Genetic Algorithm (GA). In the proposed work, a comparative study of the effectiveness of ensemble technique is made for sentiment classification. The ensemble framework is applied to sentiment classification tasks, with the aim of efficiently integrating different feature sets and classification algorithms to synthesize a more accurate classification procedure. The feasibility and the benefits of the proposed approaches are demonstrated by means of movie review that is widely used in the field of sentiment classification. A wide range of comparative experiments are conducted and finally, some in-depth discussion is presented and conclusions are drawn about the effectiveness of ensemble technique for sentiment classification.
A Large-Scale Survey for Variable Stars in M 33

We have started a survey of M 33 in order to find variable stars and Cepheids in particular. We have obtained more than 30 epochs of g'r'i' data with the CFHT and the one-square-degree camera MegaCam. We present first results from this survey, including the search for variable objects and a basic characterization of the various groups of variable stars.
PERFORM: A System for Monitoring, Assessment and Management of Patients with Parkinson's Disease

In this paper, we describe the PERFORM system for the continuous remote monitoring and management of Parkinson's disease (PD) patients. The PERFORM system is an intelligent closed-loop system that seamlessly integrates a wide range of wearable sensors constantly monitoring several motor signals of the PD patients. Data acquired are pre-processed by advanced knowledge processing methods, integrated by fusion algorithms to allow health professionals to remotely monitor the overall status of the patients, adjust medication schedules and personalize treatment. The information collected by the sensors (accelerometers and gyroscopes) is processed by several classifiers. As a result, it is possible to evaluate and quantify the PD motor symptoms related to end of dose deterioration (tremor, bradykinesia, freezing of gait (FoG)) as well as those related to over-dose concentration (Levodopa-induced dyskinesia (LID)). Based on this information, together with information derived from tests performed with a virtual reality glove and information about the medication and food intake, a patient specific profile can be built. In addition, the patient specific profile with his evaluation during the last week and last month, is compared to understand whether his status is stable, improving or worsening. Based on that, the system analyses whether a medication change is needed—always under medical supervision—and in this case, information about the medication change proposal is sent to the patient. The performance of the system has been evaluated in real life conditions, the accuracy and acceptability of the system by the PD patients and healthcare professionals has been tested, and a comparison with the standard routine clinical evaluation done by the PD patients' physician has been carried out. The PERFORM system is used by the PD patients and in a simple and safe non-invasive way for long-term record of their motor status, thus offering to the clinician a precise, long-term and objective view of patient's motor status and drug/food intake. Thus, with the PERFORM system the clinician can remotely receive precise information for the PD patient's status on previous days and define the optimal therapeutical treatment.
Rate-distortion optimized frame dropping and scheduling for multi-user conversational and streaming video

We propose a Rate-Distortion (RD) optimized strategy for frame-dropping and scheduling of multi-user conversational and streaming videos. We consider a scenario where conversational and streaming videos share the forwarding resources at a network node. Two buffers are setup on the node to temporarily store the packets for these two types of video applications. For streaming video, a big buffer is used as the associated delay constraint of the application is moderate and a very small buffer is used for conversational video to ensure that the forwarding delay of every packet is limited. A scheduler is located behind these two buffers that dynamically assigns transmission slots on the outgoing link to the two buffers. Rate-distortion side information is used to perform RD-optimized frame dropping in case of node overload. Sharing the data rate on the outgoing link between the conversational and the streaming videos is done either based on the fullness of the two associated buffers or on the mean incoming rates of the respective videos. Simulation results showed that our proposed RD-optimized frame dropping and scheduling approach provides significant improvements in performance over the popular priority-based random dropping (PRD) technique.
IMPROVED LABORATORY TRANSITION PROBABILITIES FOR Ce ii, APPLICATION TO THE CERIUM ABUNDANCES OF THE SUN AND FIVE r-PROCESS-RICH, METAL-POOR STARS, AND RARE EARTH LAB DATA SUMMARY

Recent radiative lifetime measurements accurate to ±5% using laser-induced fluorescence (LIF) on 43 even-parity and 15 odd-parity levels of Ce ii have been combined with new branching fractions measured using a Fourier transform spectrometer (FTS) to determine transition probabilities for 921 lines of Ce ii. This improved laboratory data set has been used to determine a new solar photospheric Ce abundance, log ε = 1.61 ± 0.01 (σ = 0.06 from 45 lines), a value in excellent agreement with the recommended meteoritic abundance, log ε = 1.61 ± 0.02. Revised Ce abundances have also been derived for the r-process-rich metal-poor giant stars BD+17°3248, CS 22892–052, CS 31082–001, HD 115444, and HD 221170. Between 26 and 40 lines were used for determining the Ce abundance in these five stars, yielding a small statistical uncertainty of ±0.01 dex similar to the solar result. The relative abundances in the metal-poor stars of Ce and Eu, a nearly pure r-process element in the Sun, matches r-process-only model predictions for solar system material. This consistent match with small scatter over a wide range of stellar metallicities lends support to these predictions of elemental fractions. A companion paper includes an interpretation of these new precision abundance results for Ce as well as new abundance results and interpretation for Pr, Dy, and Tm.
Premutation in the Fragile X Mental Retardation 1 (FMR1) Gene Affects Maternal Zn-milk and Perinatal Brain Bioenergetics and Scaffolding

Fragile X premutation alleles have 55–200 CGG repeats in the 5′ UTR of the FMR1 gene. Altered zinc (Zn) homeostasis has been reported in fibroblasts from >60 years old premutation carriers, in which Zn supplementation significantly restored Zn-dependent mitochondrial protein import/processing and function. Given that mitochondria play a critical role in synaptic transmission, brain function, and cognition, we tested FMRP protein expression, brain bioenergetics, and expression of the Zn-dependent synaptic scaffolding protein SH3 and multiple ankyrin repeat domains 3 (Shank3) in a knock-in (KI) premutation mouse model with 180 CGG repeats. Mitochondrial outcomes correlated with FMRP protein expression (but not FMR1 gene expression) in KI mice and human fibroblasts from carriers of the pre- and full-mutation. Significant deficits in brain bioenergetics, Zn levels, and Shank3 protein expression were observed in the Zn-rich regions KI hippocampus and cerebellum at PND21, with some of these effects lasting into adulthood (PND210). A strong genotype × age interaction was observed for most of the outcomes tested in hippocampus and cerebellum, whereas in cortex, age played a major role. Given that the most significant effects were observed at the end of the lactation period, we hypothesized that KI milk might have a role at compounding the deleterious effects on the FMR1 genetic background. A higher gene expression of ZnT4 and ZnT6, Zn transporters abundant in brain and lactating mammary glands, was observed in the latter tissue of KI dams. A cross-fostering experiment allowed improving cortex bioenergetics in KI pups nursing on WT milk. Conversely, WT pups nursing on KI milk showed deficits in hippocampus and cerebellum bioenergetics. A highly significant milk type × genotype interaction was observed for all three-brain regions, being cortex the most influenced. Finally, lower milk-Zn levels were recorded in milk from lactating women carrying the premutation as well as other Zn-related outcomes (Zn-dependent alkaline phosphatase activity and lactose biosynthesis—whose limiting step is the Zn-dependent β-1,4-galactosyltransferase). In premutation carriers, altered Zn homeostasis, brain bioenergetics and Shank3 levels could be compounded by Zn-deficient milk, increasing the risk of developing emotional and neurological/cognitive problems and/or FXTAS later in life.
Optimization of Alkaline and Dilute Acid Pretreatment of Agave Bagasse by Response Surface Methodology

Utilization of lignocellulosic materials for the production of value-added chemicals or biofuels generally requires a pretreatment process to overcome the recalcitrance of the plant biomass for further enzymatic hydrolysis and fermentation stages. Two of the most employed pretreatment processes are the ones that used dilute acid (DA) and alkaline (AL) catalyst providing specific effects on the physicochemical structure of the biomass, such as high xylan and lignin removal for DA and AL, respectively. Another important effect that need to be studied is the use of a high solids pretreatment (≥15%) since offers many advantaged over lower solids loadings, including increased sugar and ethanol concentrations (in combination with a high solids saccharification), which will be reflected in lower capital costs; however, this data is currently limited. In this study, several variables, such as catalyst loading, retention time, and solids loading, were studied using response surface methodology (RSM) based on a factorial central composite design of DA and AL pretreatment on agave bagasse using a range of solids from 3 to 30% (w/w) to obtain optimal process conditions for each pretreatment. Subsequently enzymatic hydrolysis was performed using Novozymes Cellic CTec2 and HTec2 presented as total reducing sugar (TRS) yield. Pretreated biomass was characterized by wet-chemistry techniques and selected samples were analyzed by calorimetric techniques, and scanning electron/confocal fluorescent microscopy. RSM was also used to optimize the pretreatment conditions for maximum TRS yield. The optimum conditions were determined for AL pretreatment: 1.87% NaOH concentration, 50.3 min and 13.1% solids loading, whereas DA pretreatment: 2.1% acid concentration, 33.8 min and 8.5% solids loading.
Class I Major Histocompatibility Complex, the Trojan Horse for Secretion of Amyloidogenic β2-Microglobulin*

Background: Amyloidogenic D76N β2m variant escapes the intracellular quality control despite its instability. Results: We show tridimensional structure and stability of D76N β2m assembled within MHCI compared with the wild type protein. Conclusion: Assembly of D76N β2m within the MHCI totally masks its misfolding propensity. Significance: The MHCI-mediated stabilization of amyloidogenic D76N β2m explains the failure of quality control in preventing its secretion. To form extracellular aggregates, amyloidogenic proteins bypass the intracellular quality control, which normally targets unfolded/aggregated polypeptides. Human D76N β2-microglobulin (β2m) variant is the prototype of unstable and amyloidogenic protein that forms abundant extracellular fibrillar deposits. Here we focus on the role of the class I major histocompatibility complex (MHCI) in the intracellular stabilization of D76N β2m. Using biophysical and structural approaches, we show that the MHCI containing D76N β2m (MHCI76) displays stability, dissociation patterns, and crystal structure comparable with those of the MHCI with wild type β2m. Conversely, limited proteolysis experiments show a reduced protease susceptibility for D76N β2m within the MHCI76 as compared with the free variant, suggesting that the MHCI has a chaperone-like activity in preventing D76N β2m degradation within the cell. Accordingly, D76N β2m is normally assembled in the MHCI and circulates as free plasma species in a transgenic mouse model.
Precise Positioning of Nanoparticles on Surfaces Using Scanning Probe Lithography

Two new methods have been developed to precisely position gold nanoparticles on surfaces. The surface-active nanoparticles have a shell of a mixed monolayer comprised of alkanethiol and alkanedithiol molecules to anchor particles to gold surfaces via sulfur−gold chemisorption. In the first method, regions of an alkanethiol self-assembled monolayer (SAM) are shaved by the AFM tip under high force in a solution containing nanoparticles. Nanoparticles then adsorb onto the exposed areas defined by the shaving track of the tip. In a second method, the AFM tip is coated with nanoparticles. Under low force, AFM images are acquired and the nanoparticles remain on the tip. When higher load is applied, areas of the SAM matrix are uncovered and nanoparticles are deposited following the scanning track of the AFM tip. Thus, the 3D positions of the nanoparticles are precisely controlled. The nanostructures are characterized in situ with the same tip at reduced load. Individual particles within the nanopatterns can be r.
Psychophysical scaling of smiling faces

Sixteen schematic faces with two defining properties of eyes and lips drawn by arcs with varying curvatures were rank ordered by 37 university students according to their perceived intensities of smiling. The data were analyzed by a nonmetric maximum likelihood scaling method for directional rank order data. The analysis revealed (a) that the unconstrained model assuming no psychophysical relationships between the two curvatures of eyes and lips and the judged intensity of smiling fits the data better than a psychophysical function having a linear combination of the two curvatures as an independent variable, or than an additive function of two psychological effects elicited by eyes and lips, respectively; (b) but that the psychophysical function with a term of interaction effects between the two properties is the most appropriate model of the perceived intensity of smiling; (c) that eyes are interpreted twice as important as lips in perception of intensity of smiling of faces.
A performance evaluation of the conservative DEVS protocol in parallel simulation of DEVS-based models

We present the performance evaluation of the Conservative DEVS protocol. This conservative algorithm is based on the classical Chandy-Misra-Bryant (CMB) synchronization mechanism, and extends the DEVS abstract simulator by providing means for lookahead computation and null message distribution. The protocol is integrated into the CD++ simulation toolkit, providing a conservative simulator (named CCD++) for running large-scale DEVS and Cell-DEVS models in parallel and distributed fashion. Throughout the experiments, we analyze four types of metrics, the total execution time, the average blocked time per node, the average number of positive events executed on each node, and the average number of null messages per node. We show a study on three environmental Cell-DEVS models, which shows that CCD++ provides considerable speedups, showing its ability for simulating large and complex DEVS-based models.
Antioxidant and Antiradical Activities of Manihot esculenta Crantz (Euphorbiaceae) Leaves and Other Selected Tropical Green Vegetables Investigated on Lipoperoxidation and Phorbol-12-myristate-13-acetate (PMA) Activated Monocytes

Abelmoschus esculentus (Malvaceae), Hibiscus acetosella (Malvaceae), Manihot esculenta Crantz (Euphorbiaceae) and Pteridium aquilinum (Dennstaedtiaceae) leaves are currently consumed as vegetables by migrants from sub-Saharan Africa living in Western Europe and by the people in the origin countries, where these plants are also used in the folk medicine. Manihot leaves are also eaten in Latin America and some Asian countries. This work investigated the capacity of aqueous extracts prepared from those vegetables to inhibit the peroxidation of a linoleic acid emulsion. Short chain, volatile C-compounds as markers of advanced lipid peroxidation were measured by gas chromatography by following the ethylene production. The generation of lipid hydroperoxides, was monitored by spectroscopy using N-N′-dimethyl-p-phenylene-diamine (DMPD). The formation of intermediate peroxyl, and other free radicals, at the initiation of the lipid peroxidation was investigated by electron spin resonance, using α-(4-pyridyl-1-oxide)-N-tert-butylnitrone as spin trap agent. The ability of the extracts to decrease the cellular production of reactive oxygen species (ROS) in “inflammation like” conditions was studied by fluorescence technique using 2′,7′-dichlorofluorescine-diacetate as fluorogenic probe, in a cell model of human monocytes (HL-60 cells) activated with phorbol ester. Overall the extracts displayed efficient concentration-dependent inhibitory effects. Their total polyphenol and flavonoid content was determined by classic colorimetric methods. An HPLC-UV/DAD analysis has clearly identified the presence of some polyphenolic compounds, which explains at least partially the inhibitions observed in our models. The role of these plants in the folk medicine by sub-Saharan peoples as well as in the prevention of oxidative stress and ROS related diseases requires further consideration.
Further results on control of the compass gait biped

This paper continues our investigations into the passivity-based control of the compass gait biped. It was shown in [Spong, M.W. , 1999] for the compass gait biped, and in [Spong, M.W. , and Bullo, F. , 2002] for the general case, that a passive limit cycle for a given constant slope can be made slope invariant via potential energy shaping control. In this paper we consider the application of total energy shaping to this problem. Using a control law that shapes the total energy of the biped we are able to influence both the exponential rate of convergence to the limit cycle and its basin of attraction. This increases robustness and variation in the ground slope. As illustrations we show stable walking gaits both in the presence of external disturbances and on varying slopes that do not exist without the total energy shaping control.
A Regional Experiment to Evaluate Effects of Fire and fire Surrogate Treatments in the Sagebrush Biome

See next page for additional authors Follow this and additional works at: http://digitalcommons.unl. edu/jfspresearch Part of the Forest Biology Commons, Forest Management Commons, Natural Resources and Conservation Commons, Natural Resources Management and Policy Commons, Other Environmental Sciences Commons, Other Forestry and Forest Sciences Commons, Sustainability Commons, and the Wood Science and Pulp, Paper Technology Commons
Fault-tolerant meshes and tori embedded in a faulty supercube

Hypercubes, meshes, and tori are well known interconnection networks for parallel computing. The Supercube network is a generalization of the hypercube. The main advantage of this network is that it has the same connectivity and diameter as that of the hypercube without the constraint that the number of nodes be a power of 2. This paper proposes novel algorithms of fault-tolerant meshes and tori embedded in supercubes with node failures. The main results obtained (1) a replacing sequence of a supercube is including approximate to (⌊log2 N⌋ +1) nodes. Therefore, there are O(⌊log2 N⌋) faults, which can be tolerated. (2) The result implies that optimal simulation of mesh and torus in a faulty supercube for balancing the processor and communication link loads at present. According to the result, we can easily port the parallel or distributed algorithms developed for these structures to the supercubes. Therefore, these methods of reconfiguring enable extremely high-speed parallel computation.
Functional Assessment of Region-Specific Neglect: Are There Differential Behavioural Consequences of Peripersonal versus Extrapersonal Neglect?

Background. Region-specific types of neglect (peripersonal and extrapersonal) have been dissociated, yet, differential behavioural consequences are unknown. Objective. The aim of the current study was to investigate behavioural consequences at the level of basic activities of daily living of region-specific neglect, using the Catherine Bergego Scale (CBS). Methods. 118 stroke patients were screened within the first two weeks after admission to the rehabilitation center for inpatient rehabilitation. Results. Patients with peripersonal neglect and patients with neglect for both regions had significantly higher total score on the CBS compared to nonneglect patients. Total scores for patients with extrapersonal neglect were comparable to non-neglect patients. ADL impairments were found across activities (e.g., looking towards one side, forgetting body parts, colliding) for both patients with peripersonal neglect and patients with neglect for both regions. Patients with extrapersonal neglect were only impaired on the item on way finding. Conclusions. When diagnosing neglect, it is relevant to distinguish the type of region-specific neglect and, where needed, to adjust the rehabilitation program accordingly. As the CBS is not developed to typically measure ADL in extrapersonal neglect, it would be of importance to add other (instrumental) activities that heavily rely on processing information in farther space.
Finding Errors in a Chinese Lexico-Semantic Resource Using GWAP

Building any lexico-semantic resources manually from scratch is expensive. To reduce the cost, often, English WordNet is used to bootstrap lexical resources. Similarly, Chinese Wordnet follows the WordNet structure and is generated via several algorithms. This automatic generation of resources introduces many kinds of errors such as wrong translation, typos, and false mapping between multilingual terms. These errors can cause a significant impact for the further applications. In this paper, we present a non-immersive game to find the errors that exist in English-Chinese lexico-semantic resource. In this game, people will face challenges in English synsets and has to choose the most appropriate option from the listed Chinese synsets. Our preliminary evaluation shows that people are spending a significant amount of time playing and were able to find different erroneous mappings.