Miracle-dz/UniFAR-FTUs huggingface dataset:
Performance of elderly African American and White community residents on the CERAD Neuropsychological Battery

The CERAD Neuropsychological Battery, includes 7 measures: Verbal Fluency; Modified Boston Naming; Mini-Mental State; Word List Learning, Recall and Recognition; Constructional Praxis. It was originally developed to evaluate patients with a clinical diagnosis of Alzheimer's disease, but is increasingly used in epidemiological studies of the incidence and prevalence of dementia in the elderly. The current study reports norms for African American and White representative community residents 71 years of age and older in North Carolina, and compares performance with that of African Americans in Indianapolis and with Whites in the Monongahela Valley, Pennsylvania. For all 3 studies, increased education and younger age was related to better performance on each of the 7 measures. Sex differences, when present, tended to favor women. Although on average African Americans performed more poorly than Whites, with demographic characteristics controlled, no significant racial differences were found in the North Carolina sample. Both African American and White participants in North Carolina performed more poorly than their racial counterparts in the other 2 studies, possibly because of selection-induced differences in health and educational status. Nevertheless, the use of an identical evaluation battery, such as the CERAD neuropsychologic instrument, facilitates comparisons not otherwise possible, and should be encouraged. (JINS, 2001, 7, 502–509.)
Secure Resource Control in Service Oriented Applications

This paper presents a secure resource control solution for service oriented applications. Through this, resources on a shared device can be protected from malicious abuse and become controllable for special QoS provisioning. Services are grouped into virtual communities and service access can only be done within the scope of a virtual community. Using soft-state management, services and their underlying resources are monitored by a novel device management service which runs on each device and can activate or deactivate hosted services.
Oxidant plant damage from ozone-olefin reactions.

The reaction of ozone with five-, six-, and seven-carbon olefins is quite rapid even in the gas phase at concentrations of a few parts per million. These reaction mixtures produce a toxic material which causes damage symptoms on pinto bean plants which are indistinguishable from those attributed to oxidant-type air pollution. Ozonides, formed in small yield by this reaction, are stable materials which do not damage pinto beans in any way even at concentrations higher than those arising in ozone-olefine reaction mixtures or in outdoor air. Evidence was obtained that the toxic material is unstable even at low concentrations in air. Its half life appears to be no more than a few minutes. This result suggests that either a transitory ozone-olefin complex or an unstable zwitter ion formed by its decomposition is the actual toxic substance. Attempts to confirm this by adding excess aldehyde or sulfur dioxide to scavenge the toxicant were not successful.
Bud specific N-sulfation of heparan sulfate regulates Shp2-dependent FGF signaling during lacrimal gland induction

Preferential outgrowth of the bud cells forms the basis of branching morphogenesis. Here, we show that lacrimal gland development requires specific modification of heparan sulfates by Ndst genes at the tip of the lacrimal gland bud. Systemic and conditional knockout experiments demonstrate the tissue specific requirement of Ndst1 and Ndst2 in the lacrimal gland epithelial, but not mesenchymal, cells, and the functional importance of Ndst1 in Fgf10-Fgfr2b, but not of Fgf1-Fgfr2b, complex formation. Consistent with this, Fgf10-induced ectopic lacrimal gland budding in explant cultures is dependent upon Ndst gene dose, and epithelial deletion of Fgfr2 abolishes lacrimal gland budding, its specific modification of heparan sulfate and its phosphorylation of Shp2 (Ptpn11 - Mouse Genome Informatics). Finally, we show that genetic ablation of Ndst1, Fgfr2 or Shp2 disrupts ERK signaling in lacrimal gland budding. Given the evolutionarily conserved roles of these genes, the localized activation of the Ndst-Fgfr-Shp2 genetic cascade is probably a general regulatory mechanism of FGF signaling in branching morphogenesis.
Acute weight gain and its relationship to success in high school wrestlers.

OBJECTIVE The purpose of this study was to investigate 1. the extent of weight gain by high school wrestlers between an evening weigh-in and the first round of wrestling the next morning and 2. the relationship between weight gain and wrestling success. METHODS Body weights of competitors (N = 260) in a high school wrestling tournament were recorded at official weigh-in and again, about 12 h later, immediately before the first round of wrestling. Data for the heavyweight class was excluded. Weight gain (WG in kg), relative weight gain (RWG in %), and weight discrepancy between opponents (WD in kg) were calculated from data obtained at the weighings. The mean WG for all wrestlers was 1.3 kg +/- 1.1 with a range of -2.0 kg to +4.4 kg. This corresponds to RWG of 2.2 +/- 1.7% body weight. RESULTS WG in the lower weight classes was statistically larger than that seen in the highest weight classes (P < 0.05). The smallest RWG was seen in the 189-lb. class (1.1 +/- 1.9%), and the largest RWG was seen in the 112-lb. class (3.0 +/- 2.1%). Average WD between competitors was 1.7 +/- 1.5 kg (range 0-7.5 kg.). Average WD was largest in the two heaviest classes. Average WG was 1.5 +/- 1.1 kg for winners and 1.2 +/- 1.0 kg for losers. RWG was 2.4 +/- 1.8% for winners and 1.9 +/- 1.6% for losers. CONCLUSIONS The difference in WG and RWG between winners and losers was significant (P < 0.05). In 74 of the 130 bouts (57%), the heavier wrestler was successful (NS).
A robotic soccer passing task using petri net plans

This demonstration shows the implementation of a cooperative and coordinated robotic task in the soccer domain. Two Sony AIBO robots are placed on a soccer field with the task of passing a ball (Figure 1). Initially the robots search for the ball, and when they have located it, they exchange their local information about its position. This information is used to decide which robot will pass the ball (i.e. take the Passer role) and which robot will intercept it (i.e. take the Receiver role). The Passer robot reaches the ball, grabs it and turns to the Receiver. In the meanwhile, the Receiver moves to a predefined distance to the Passer. When both the Passer and Receiver robots have completed these tasks, they synchronize and execute, respectively, a pass and an intercept behavior. At the end of the execution, a final synchronization is performed. The robots exchange information about the outcome of the behavior, and they repeat the plan.
Colonization of the streptomycin-treated mouse large intestine by a human fecal Escherichia coli strain: role of adhesion to mucosal receptors

Escherichia coli F-18, a normal fecal isolate, was previously shown to be an excellent colonizer of the streptomycin-treated CD-1 mouse large intestine, whereas E. coli F-18col-, a derivative of E. coli F-18 that no longer makes the E. coli F-18 colicin, was shown to be a poor mouse colonizer. It was also shown that E. coli F-18 bound two to three times more soluble colonic mucus protein than did E. coli F-18col- and that a major receptor in CD-1 mouse colonic mucus was a 50.5-kilodalton glycoprotein. In the present investigation, an additional E. coli F-18 colonic mucus glycoprotein receptor (66 kilodaltons) and three cecal mucus glycoprotein receptors (94, 73, and 66 kilodaltons) were identified. Numerous colonic and cecal brush border protein receptors specific for E. coli F-18 were also identified. Furthermore, E. coli F-18col- was found to bind to the same mucus and brush border receptors as E. coli F-18, although to a far lesser extent. Adhesion of both E. coli F-18 and F-18col- was inhibited by D-mannose and alpha-methyl-D-mannoside, and both strains were shown to bind specifically to the mannose moiety of a mannose-bovine serum albumin glycoconjugate, although again E. coli F-18col- bound to a lesser extent. Finally, both E. coli F-18 and F-18col- were shown to be piliated. The possible role of pilus mediated adhesion in E. coli F-18 colonization of the streptomycin-treated mouse large intestine is discussed.
Investigating species co-occurrence patterns when species are detected imperfectly

Summary 1. Over the last 30 years there has been a great deal of interest in investigating patterns of species co-occurrence across a number of locations, which has led to the development of numerous methods to determine whether there is evidence that a particular pattern may not have occurred by random chance. 2. A key aspect that seems to have been largely overlooked is the possibility that species may not always be detected at a location when present, which leads to ‘false absences’ in a species presence/absence matrix that may cause incorrect inferences to be made about co-occurrence patterns. Furthermore, many of the published methods for investigating patterns of species co-occurrence do not account for potential differences in the site characteristics that may partially (at least) explain non-random patterns (e.g. due to species having similar/different habitat preferences). 3. Here we present a statistical method for modelling co-occurrence patterns between species while accounting for imperfect detection and site characteristics. This method requires that multiple presence/absence surveys for the species be conducted over a reasonably short period of time at most sites. The method yields unbiased estimates of probabilities of occurrence, and is practical when the number of species is small ( < 4). 4. To illustrate the method we consider data collected on two terrestrial salamander species, Plethodon jordani and members of the Plethodon glutinosus complex, collected in the Great Smoky Mountains National Park, USA. We find no evidence that the species do not occur independently at sites once site elevation has been allowed for, although we find some evidence of a statistical interaction between species in terms of detectability that we suggest may be due to changes in relative abundances.
Capability level assessment of IT governance in PTP Mitra Ogan: COBIT 5 framework for BAI 04 process

It is very necessary to implement information technology governance in government corporate organization. Nowadays, information technology investments and IT-enabler must be effectively manage, especially in governance institution. This research is an assessment of IT Governance model for government corporate in Indonesia. This paper shows and describes the result of COBIT 5.0 framework (IT Governance framework) implementation in PTP Mitra Ogan. In this paper, implementation of COBIT 5.0 framework scope is applied especially in the domain of build, acquire, and implementation (process ID number 04), from the area of management. Purpose of this case study is to get the result of COBIT 5.0 framework implementation, describe step-by-step procedures or processes to improve IT Governance implementation, and finally give recommendations for governing IT of PTP Mitra Ogan in the future.
Time Series Analysis of Remote Sensing Observations for Citrus Crop Growth Stage and Evapotranspiration Estimation

Abstract. Satellite based earth observation (EO) platforms have proved capability to spatio-temporally monitor changes on the earth's surface. Long term satellite missions have provided huge repository of optical remote sensing datasets, and United States Geological Survey (USGS) Landsat program is one of the oldest sources of optical EO datasets. This historical and near real time EO archive is a rich source of information to understand the seasonal changes in the horticultural crops. Citrus (Mandarin / Nagpur Orange) is one of the major horticultural crops cultivated in central India. Erratic behaviour of rainfall and dependency on groundwater for irrigation has wide impact on the citrus crop yield. Also, wide variations are reported in temperature and relative humidity causing early fruit onset and increase in crop water requirement. Therefore, there is need to study the crop growth stages and crop evapotranspiration at spatio-temporal scale for managing the scarce resources. In this study, an attempt has been made to understand the citrus crop growth stages using Normalized Difference Time Series (NDVI) time series data obtained from Landsat archives ( http://earthexplorer.usgs.gov/ ). Total 388 Landsat 4, 5, 7 and 8 scenes (from year 1990 to Aug. 2015) for Worldwide Reference System (WRS) 2, path 145 and row 45 were selected to understand seasonal variations in citrus crop growth. Considering Landsat 30 meter spatial resolution to obtain homogeneous pixels with crop cover orchards larger than 2 hectare area was selected. To consider change in wavelength bandwidth (radiometric resolution) with Landsat sensors (i.e. 4, 5, 7 and 8) NDVI has been selected to obtain continuous sensor independent time series. The obtained crop growth stage information has been used to estimate citrus basal crop coefficient information (Kcb). Satellite based Kcb estimates were used with proximal agrometeorological sensing system observed relevant weather parameters for crop ET estimation. The results show that time series EO based crop growth stage estimates provide better information about geographically separated citrus orchards. Attempts are being made to estimate regional variations in citrus crop water requirement for effective irrigation planning. In future high resolution Sentinel 2 observations from European Space Agency (ESA) will be used to fill the time gaps and to get better understanding about citrus crop canopy parameters.
A Novel Approach to Link Process Parameters to BSIM Model Parameters

In this paper, we demonstrate a methodology to link process parameters to BSIM model parameters. Here, we have combined well-known statistical methods like principal component analysis (PCA), design of experiments (DOE), and response surface methodology (RSM) to bridge the missing link between process parameters and model parameters. The proposed methodology uses the concept of a correlation matrix, which transforms the process level information to the device and circuit level information through the BSIM model parameters. The proposed methodology has been successfully implemented on an advanced CMOS process. Our results show a strong linear correlation for the data obtained from two techniques namely TCAD technique and the standard HSPICE simulation technique. In both cases the process conditions were kept identical for comparison.
Design and Analysis of Low offset High speed Dynamic Comparator

Ratansang S Vaghela1 and Priyesh P. Ghandhi2 1,2 Electronics and Communication Dept, LCIT, Bhandu, North Gujarat, India Abstract ___ This paper contain a low voltage, low offset and high speed proposed cmos voltage comparator. It has application in mainly flash and pipeline ADC. It has been characterized with features like propagation delay, offset voltage, input common mode range, slew rate and speed etc. Simulation is done with the help of mentor graphics using TSMC 180nm and Generic 90nm technology. Comparative analysis of proposed comparator with previous dynamic Comparator using both technologies has been shown.
BODY ADIPOSITY INDEX AND ASSOCIATED FACTORS IN ADULTS: METHOD AND LOGISTICS OF A POPULATION-BASED STUDY.

INTRODUCTION obesity is a public health problem that has increased considerably. Several techniques have been developed and used to measure the amount of body fat, or a combination of excess fat with some comorbidities. The Body Adiposity Index is a new method proposed to determine body fat and its validation is still limited. Methods and logistics of a population-based study reported in the literature are few, mainly multidiciplinas team. OBJECTIVE the objective was to report the proceedings of a population-based study, the denouement is the index of adiposity in adults. DESIGN the design of this study was cross-sectional, with a sample of 1085 adults aged 20-59 years living in the city of Viçosa, MG. A questionnaire was applied at home with sociodemographic, behavioral issues, health and level of physical activity. Then anthropometric and biochemical data were collected. The training for data collection involved the calibration of evaluators, being the correlation between the measurements checked by the intraclass correlation test and was adopted as the acceptable value of 0.60. RESULTS it is noted that, with the exception of assessors 1, the triceps and subscapular skin folds, and the evaluator 4, in the pectoral skinfolds and suprailiac, all other measures reached acceptable cutoff point for agreement among evaluators. CONCLUSIONS multidisciplinary research is important to understand the various factors that may be operating in health and disease process tool. Methodological and logistical aspects described in this study should be followed, which will lead to a steady decrease in research biases.
An efficient fusion strategy for multimodal biometric system

This paper proposes an efficient multi-step fusion strategy for multimodal biometric system. Fusion is done at two stages i.e., algorithm level and modality level. At algorithm level the important steps involved are normalization, data elimination and assignment of static and dynamic weights. Further, the individual recognizers are combined using sum of scores technique. Finally the integrated scores from individual traits are passed to decision module. Fusion at decision level is done using Support Vector Machines (SVM). The SVM is trained by the set of matching scores and it classifies the data into two known classes i.e., genuine and imposters. The system is tested on database collected for 200 individuals and is showing a considerable increase in accuracy (overall accuracy 98.42%) compared to individual traits.
Causal Analysis of Individual Change Using the Difference Score

Causal analysis of change in time-related characteristics such as health or disease is an increasingly important area of epidemiology. Change is often analyzed using data from 2 waves of a longitudinal study, using the difference score—the difference between the scores at the 2 waves—as the outcome in a regression model. In this article, I show how and when causal analysis of change can be performed using simple linear regression models of continuous difference scores. Not only do causal analyses require making adjustments for confounding bias, but also for the shape of individual “growth curves”—the way in which each individual's score changes over time. In practice, the type of growth curve is critical to determining whether age or start score or neither is included in the regression model. For valid analyses, both sets of adjustments require assumptions based on prior theory that cannot be tested using the study data; choosing to make adjustments using variables based solely on observed associations with the difference score can give misleading results. However, analysts can state their assumptions clearly using this framework and put them up for rigorous scientific scrutiny. The approach is illustrated by an application to data from the Whitehall II study of British civil servants.
IMITATION-BASED ROBOT PROGRAMMING METHOD FOR PREDICTING THE MOTION

One of the main barriers to automating a particular task with a robot is the amount of time needed to program the robot. In this paper the decrease in programming time is accomplished by combining off-line and on-line programming techniques . The method consists in using a programming platform that allows us to expediently compose robot programs. On the programming platform there is carried out the virtual prototype of the physical robotic arm to be programmed and the real working space wherein it is intended to work. In this paper, we propose a new approach to robot programming based on virtual robot prototype behavior in experimental scenery. The actions for the each robotic task are computed for virtual robot prototype and are transferred online, with a central coordination, to corresponding physical robot, which must imitate her virtual “homonymous”.
Telomere dysfunction and its role in haematological cancer

Observations in human tumours, as well as mouse models, have indicated that telomere dysfunction may be a key event driving genomic instability and disease progression in many solid tumour types. In this scenario, telomere shortening ultimately results in telomere dysfunction, fusion and genomic instability, creating the large‐scale rearrangements that are characteristic of these tumours. It is now becoming apparent that this paradigm may also apply to haematological malignancies; indeed these conditions have provided some of the most convincing evidence of telomere dysfunction in any malignancy. Telomere length has been shown in several malignancies to provide clinically useful prognostic information, implicating telomere dysfunction in disease progression. In these malignancies extreme telomere shortening, telomere dysfunction and fusion have all been documented and correlate with the emergence of increased genomic complexity. Telomeres may therefore represent both a clinically useful prognostic tool and a potential target for therapeutic intervention.
Detection of Cowdria ruminantium by means of a DNA probe, pCS20 in infected bont ticks, Amblyomma hebraeum, the major vector of heartwater in Southern Africa

SUMMARY A DNA probe, pCS20, previously described for use in detection of Cowdria ruminantium infections in Amblyomma variegatum (the principal vector of heartwater) hybridized with C. ruminantium DNA in organs of laboratory-infected A. hebraeum adult ticks (the major southern African vector of heartwater). The probe hybridized with C. ruminantium DNA in 46/49 midguts from male ticks and 26/29 from females, thus indicating infection. Corresponding salivary glands were less heavily infected, but infections were more numerous in glands from males. Infection in ticks was confirmed by transmission of the disease to susceptible goats. The probe did not hybridize with DNA from uninfected ticks or with DNA from a spotted fever group rickettsia commonly associated with A. hebraeum in Zimbabwe. The C. ruminantium specific pCS20 DNA probe can be applied to determine accurately the infection rates in the two major vectors of heartwater and the risk of exposure of ruminants in endemic areas.
Quantum algorithms for Gibbs sampling and hitting-time estimation

We present quantum algorithms for solving two problems regarding stochastic processes. The first algorithm prepares the thermal Gibbs state of a quantum system and runs in time almost linear in $\sqrt{N \beta/{\cal Z}}$ and polynomial in $\log(1/\epsilon)$, where $N$ is the Hilbert space dimension, $\beta$ is the inverse temperature, ${\cal Z}$ is the partition function, and $\epsilon$ is the desired precision of the output state. Our quantum algorithm exponentially improves the dependence on $1/\epsilon$ and quadratically improves the dependence on $\beta$ of known quantum algorithms for this problem. The second algorithm estimates the hitting time of a Markov chain. For a sparse stochastic matrix $P$, it runs in time almost linear in $1/(\epsilon \Delta^{3/2})$, where $\epsilon$ is the absolute precision in the estimation and $\Delta$ is a parameter determined by $P$, and whose inverse is an upper bound of the hitting time. Our quantum algorithm quadratically improves the dependence on $1/\epsilon$ and $1/\Delta$ of the analog classical algorithm for hitting-time estimation. Both algorithms use tools recently developed in the context of Hamiltonian simulation, spectral gap amplification, and solving linear systems of equations.