Miracle-dz/UniFAR-FTUs huggingface dataset:
Platyamoeba stenopodia n. g., n. sp., a freshwater amoeba.

SYNOPSIS. Platyamoeba stenopodia n. g. , n. sp. , isolated from a lake in Alabama, is an amoeba with flattened form, usually more than 2.5 × as long as broad, the anterior half hyaline and the posterior half granular, with a single vesiculate nucleus at the posterior edge of the hyaline region. It forms a transitory floating stage with slender, hyaline pseudopods. Its cyst is spherical, uninucleate, with a smooth inner wall and a thinner, closely applied outer wall, which is often slightly wrinkled. Length of locomotive amoeba 15–36 μ diameter of cyst 7–11.5 μ Reproduction by binary fission with mesomitotic nuclear division, the nuclear membrane disappearing in prophase. The genus Platyamoeba is erected for amoebae including this organism; the type species is P. placida.
Automatic recognition of baby gesture

We discuss and present a computer vision system that monitors a sitting baby of ages of 6 months old to one-year-old. The system tracks a baby's mouth and hands and alarms the guardians if it finds some objects in the baby's hand going towards his or her mouth. We use skin detection, grayscale based sum of square differences (SSD) and template matching for tracking the hands and the head of a baby.
Results The 3 F 3 / 2 Antibody Recognizes an Endogenous Phosphoepitope

A phosphorylated epitope is differentially expressed at the kinetochores of chromosomes in mitotic cells and may be involved in regulating chromosome movement and cell cycle progression. During prophase and early prometaphase, the phosphoepitope is expressed equally among all the kinetochores. In mid-prometaphase, some chromosomes show strong labeling on both kinetochores; others exhibit weak or no labeling; while in other chromosomes, one kinetochore is intensely labeled while its sister kinetochore is unlabeled. Chromosomes moving toward the metaphase plate express the phosphoepitope strongly on the leading kinetochore but weakly on the trailing kinetochore. This is the first demonstration of a biochemical difference between the two kinetochores of a single chromosome. During metaphase and anaphase, the kinetochores are unlabeled. At metaphase, a single misaligned chromosome can inhibit further progression into anaphase. Misaligned chromosomes express the phosphoepitope strongly on both kinetochores, even when all the other chromosomes of a cell are assembled at the metaphase plate and lack expression. This phosphoepitope may be involved in regulating chromosome movement to the metaphase plate during prometaphase and may be part of a cell cycle checkpoint by which the onset of anaphase is inhibited until complete metaphase alignment
An efficient energy‐aware predictive clustering approach for vehicular ad hoc networks

With an emergence of information and communication technologies, there is an increase in the demands of providing safety and comfort to the passengers during their mobility on the road. These demands can be fulfilled by one of the most popular networks of its type—vehicular adhoc networks (VANETs). As vehicles in VANETs are constrained with respect to the available resources such as computation and storage, lot of energy is consumed to perform a number of complex operations, which may lead to the emission of harmful CO2 emission that effect the global warming system. Moreover, because of high velocity led by constant topological changes, it is a challenging task to maintain quality of service with respect to parameters such as high throughput, and minimum end‐to‐end delay. Hence, an intelligent approach is required to optimize the various complex operations in this environment, which may led to the minimum emission of CO2 and other gasses. To address these issues, this paper proposes an efficient energy‐aware predictive clustering scheme for vehicles. Efficient algorithms are designed for future mobility predictions and average variations of vehicles on the road. The algorithms estimate the clustering duration and total vehicles in the cluster. The performance of the designed algorithms is studied using extensive simulations by varying the number of vehicles and cluster durations in comparison with existing benchmarked scheme in the literature. The results obtained show that the proposed scheme is superior in comparison with the existing scheme of its category. Copyright © 2015 John Wiley & Sons, Ltd.
Effect of Ramp Slope on Ventilation Thresholds and V˙O2peak in Male Cyclists

This study investigated the effect of 10 W*min(-1) (Slow ramp, SR), 30 W*min(-1) (Medium ramp, MR) and 50 W*min(-1) (Fast ramp, FR) exercise protocols on assessments of the first (VT1) and second (VT2) ventilation thresholds and peak oxygen uptake (VO(2)peak) in 12 highly-trained male cyclists (mean +/- SD age = 26 +/- 6 yr). Expired gas sampled from a mixing chamber was analyzed on-line and VT1 and VT2 were defined as two break-points in 20-s-average plots of pulmonary ventilation (V(E)), ventilatory equivalents for O(2) (V(E)/VO(2)) and CO(2) (V(E)/VCO(2)), and fractions of expired O(2) (F(E)O(2)) and CO(2) (F(E)CO(2)). Arterialized-venous blood samples were analyzed for blood-gas and acid-base status. VO(2)peak was significantly lower (p < 0.05) for SR (4.65 +/- 0.53 l small middle dot min(-1)) compared to MR (4.89 +/- 0.56 l *min(-1)) and FR (4.88 +/- 0.57 l *min(-1)) protocols. CO(2) output and blood PCO(2) were lower (p < 0.05), and V(E)/VCO(2) was higher (p < 0.05), above VT1 for SR compared to MR and FR protocols. No significant differences were observed among the protocols for VO(2), % VO(2)peak, V(E), plasma lactate ([La(-)]) and blood hydrogen ion concentration ([H(+)]), and heart rate (HR) values at VT1 or VT2. The work rate (WR) measured at VT1, VT2 and VO(2)peak increased (p < 0.05) with steeper ramp slopes. It was concluded that, in highly-trained cyclists, assessments of VT1 and VT2 are independent of ramp rate (10, 30, 50 W*min(-1)) when expressed as VO(2), % VO(2)peak, V(E), plasma [La(-)], blood [H(+)] and HR values, whereas VO(2)peak is lower during 10 W*min(-1) compared to 30 and 50 W*min(-1) ramp protocols. In addition, the WR measured at VT1, VT2 and VO(2)peak varies with the ramp slope and should be utilized cautiously when prescribing training or evaluating performance.
Design, implementation of the Parallel C Language based on C/S mode in distributed systems

In this paper, we designed Parallel C Language, a kind of parallel programming Language, to implement parallel computing in distributed systems. It is to add some special identification statements on ANSI C Language. The parallel computing is based on C/S mode, incorporating multithread and RPC(remote procedure call). Multithread is used to cut tasks and concurrent the subtasks, and RPC is used to deploy and execute the subtasks on remote server nodes. The allocation of remote server nodes is dependent on load balancing mechanism. We also implemented the Pre-compiler of this Parallel C Language program, which parses the Parallel C Language program into several RPC application files. The other RPC application files are constructed by RPCGEN. The result of test shows that using this Parallel C Language to program in distributed systems reduces the codes size and makes full use of the system resources and improves efficiency.
Joint Estimation of State and Parameter With Synchrophasors—Part II: Parameter Tracking

An approach to joint state and parameter estimation with synchrophasor data in complex situations is presented. It consists of two loosely-coupled parts: state tracking and parameter tracking. This paper focuses on the parameter tracking and the techniques dealing with the coupling. The state tracking is presented in Part I. A new prediction model for parameters with moving means is adopted. The uncertainty in the voltages is covered by pseudo measurement errors resulting in prediction-measurement-error correlation. An error-ensemble-evolution method is proposed to evaluate the correlation. An adaptive filter based on the optimal filtering with the evaluated correlation is developed, where a sliding-window method is used to detect and adapt the moving tendency of parameters. Simulations indicate that the proposed approach yields accurate parameter estimates and improves the accuracy of the state estimation, compared with existing methods.
The abundant free-living amoeba, Acanthamoeba polyphaga, increases the survival of Campylobacter jejuni in milk and orange juice

Background Campylobacter jejuni is a common cause of human bacterial diarrhea in most parts of the world. Most C. jejuni infections are acquired from contaminated poultry, milk, and water. Due to health care costs and human suffering, it is important to identify all possible sources of infection. Unpasteurized milk has been associated with several outbreaks of C. jejuni infection. Campylobacter has been identified on fresh fruit, and other gastrointestinal pathogens such as Salmonella, E. coli O157:H7 and Cryptosporidium have been involved in fruit juice outbreaks. C. jejuni is sensitive to the acidic environment of fruit juice, but co-cultures with the amoeba, Acanthamoeba polyphaga, have previously been shown to protect C. jejuni at low pH. Methods To study the influence of A. polyphaga on the survival of C. jejuni in milk and juice, the bacteria were incubated in the two products at room temperature and at 4°C with the following treatments: A) C. jejuni preincubated with A. polyphaga before the addition of product, B) C. jejuni mixed with A. polyphaga after the addition of product, and C) C. jejuni in product without A. polyphaga. Bacterial survival was assessed by colony counts on blood agar plates. Results Co-culture with A. polyphaga prolonged the C. jejuni survival both in milk and juice. The effect of co-culture was most pronounced in juice stored at room temperature. On the other hand, A. polyphaga did not have any effect on C. jejuni survival during pasteurization of milk or orange juice, indicating that this is a good method for eliminating C. jejuni in these products. Conclusion Amoebae-associated C. jejuni in milk and juice might cause C. jejuni infections.
AN EFFICIENT SELF-UPDATING FACE RECOGNITION SYSTEM FOR PLASTIC SURGERY FACE

Facial recognition system is fundamental a computer application for the automatic identification of a person through a digitized image or a video source. The major cause for the overall poor performance is related to the transformations in appearance of the user based on the aspects akin to ageing, beard growth, sun-tan etc. In order to overcome the above drawback, Self-update process has been developed in which, the system learns the biometric attributes of the user every time the user interacts with the system and the information gets updated automatically. The procedures of Plastic surgery yield a skilled and endurable means of enhancing the facial appearance by means of correcting the anomalies in the feature and then treating the facial skin with the aim of getting a youthful look. When plastic surgery is performed on an individual, the features of the face undergo reconstruction either locally or globally. But, the changes which are introduced new by plastic surgery remain hard to get modeled by the available face recognition systems and they deteriorate the performances of the face recognition algorithm. Hence the Facial plastic surgery produces changes in the facial features to larger extent and thereby creates a significant challenge to the face recognition system. This work introduces a fresh Multimodal Biometric approach making use of novel approaches to boost the rate of recognition and security. The proposed method consists of various processes like Face segmentation using Active Appearance Model (AAM), Face Normalization using Kernel Density Estimate/Point Distribution Model (KDE-PDM), Feature extraction using Local Gabor XOR Patterns (LGXP) and Classification using Independent Component Analysis (ICA). Efficient techniques have been used in each phase of the FRAS in order to obtain improved results.
Fast Non-linear Normalization Algorithm for Iris Recognition

In biometrics, human iris recognition provides a high-level security. However, the size of eye pupil always varies with different illumination, resulting in the iris texture deformation. Thus, how to precisely predict the deformation degree of the iris is an important issue. A fast algorithm simply using the law of cosine is proposed to make Yuan and Shi’s non-linear normalization model used in iris recognition suitable for realtime personal authentication applications.
Intelligent Approach for Distribution System Load Estimation

The operation of distribution systems requires a rather high number of planned or forced switching operations. In order to prepare them, it is necessary to estimate loads at different levels in the system. This paper proposes a load estimation method for distribution systems with weighted least square estimation and back propagation artificial neural network. The above methods are demonstrated with IEEE 14 bus distribution system with comparison of simulated estimated outputs. The purpose of the load estimation method presented in this paper is the economic and efficient use of the available remote measurements in the distribution system considering typical measurements from the past and knowledge of load composition and load behavior at the distribution transformers' level.
TECHNIQUES IN PERFORMANCE IMPROVEMENT OF MOBILE WIRELESS COMMUNICATION SYSTEMS – A REVIEW

Mobile wireless communication providers are expected by their numerous subscribers to provide network that can allow higher data rates, and good voice quality. However, this may be restricted due to some technical problems such as limited availability of radio frequency spectrum, bandwidth, channel capacity, geographical areas and transmission problems caused by various factors like fading and multipath distortion. All these lead to overall system performance degradation. This has led to various studies on how improvement on the performance of wireless communication can be realized using different techniques. This paper is a review of some scholarly works on this subject. To achieve this some recent scholarly articles were accessed online and their findings were highlighted. It was observed that all the articles reviewed had results drawn only from theoretical analysis. Based on this, one of the recommendations is that theoretical analysis should be supported with data obtained from carrying out RF measurements in the field where possible.
FastLSU: a more practical approach for the Benjamini-Hochberg FDR controlling procedure for huge-scale testing problems

MOTIVATION We address a common problem in large-scale data analysis, and especially the field of genetics, the huge-scale testing problem, where millions to billions of hypotheses are tested together creating a computational challenge to control the inflation of the false discovery rate. As a solution we propose an alternative algorithm for the famous Linear Step Up procedure of Benjamini and Hochberg. RESULTS Our algorithm requires linear time and does not require any P-value ordering. It permits separating huge-scale testing problems arbitrarily into computationally feasible sets or chunks Results from the chunks are combined by our algorithm to produce the same results as the controlling procedure on the entire set of tests, thus controlling the global false discovery rate even when P-values are arbitrarily divided. The practical memory usage may also be determined arbitrarily by the size of available memory. AVAILABILITY AND IMPLEMENTATION R code is provided in the supplementary material. CONTACT sbatista@cs.princeton. edu SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
INCERTEZAS NO PREENCHIMENTO DE FALHAS DE CHUVAS HORÁRIAS COM REDES NEURAIS ARTIFICIAIS

Falhas em series de dados historicos de precipitacao sao frequentemente encontradas, dificultando a realizacao dos estudos hidrologicos. Redes neurais artificiais (RNA) tem sido empregadas na previsao e no preenchimento de falhas em varias areas do conhecimento, especialmente em hidrologia. Assim, este trabalho tem por objetivo avaliar as incertezas do preenchimento de falhas com modelo de RNA realizado por Depine et al. (2014) na bacia do rio Potiribu. Foram analisados os efeitos sobre a distribuicao espacial e temporal das alturas de precipitacao e sobre a distribuicao de frequencia das intensidades de precipitacao. A analise ANOVA mostrou a semelhanca dos valores mensais preenchidos com aqueles registrados em estacoes pluviometricas convencionais instaladas no entorno da bacia. As series de alturas de precipitacoes horarias apresentaram diferencas na frequencia acumulada das alturas das precipitacoes, nas precipitacoes maximas para diferentes duracoes e nas relacoes entre as intensidades de precipitacoes de 1 h e de 24 h, para o periodo de retorno de 2 anos. As diferencas sao resultantes da perda de eficiencia dos modelos de rede neurais artificiais no treinamento e na verificacao.
Insights into the Structural Basis of N2 and O6 Substituted Guanine Derivatives as Cyclin-Dependent Kinase 2 (CDK2) Inhibitors: Prediction of the Binding Modes and Potency of the inhibitors by Docking and ONIOM Calculations

N2 and O6 substituted guanine derivatives are well-known as potent and selective CDK2 inhibitors. The ability of molecular docking using the program AutoDock3 and the hybrid method ONIOM, to obtain some quantum chemical descriptors with the aim to successfully rank these inhibitors, was assessed. The quantum chemical descriptors were used to explain the affinity, of the series studied, by a model of the CDK2 binding site. The initial structures were obtained from docking studies and the ONIOM method was applied with only a single point energy calculation on the protein-ligand structure. We obtained a good correlation model between the ONIOM derived quantum chemical descriptor "H-bond interaction energy" and the experimental biological activity, with a correlation coefficient value of R = 0.80 for 75 compounds. To the best of our knowledge, this is the first time that both methodologies are used in conjunction in order to obtain a correlation model. The model suggests that electrostatic interactions are the principal driving force in this protein-ligand interaction. Overall, the approach was successful for the cases considered, and it suggests that could be useful for the design of inhibitors in the lead optimization phase of drug discovery.
SSRPrimer and SSR Taxonomy Tree: Biome SSR discovery

Simple sequence repeat (SSR) molecular genetic markers have become important tools for a broad range of applications such as genome mapping and genetic diversity studies. SSRs are readily identified within DNA sequence data and PCR primers can be designed for their amplification. These PCR primers frequently cross amplify within related species. We report a web-based tool, SSR Primer, that integrates SPUTNIK, an SSR repeat finder, with Primer3, a primer design program, within one pipeline. On submission of multiple FASTA formatted sequences, the script screens each sequence for SSRs using SPUTNIK. Results are then parsed to Primer3 for locus specific primer design. We have applied this tool for the discovery of SSRs within the complete GenBank database, and have designed PCR amplification primers for over 13 million SSRs. The SSR Taxonomy Tree server provides web-based searching and browsing of species and taxa for the visualisation and download of these SSR amplification primers. These tools are available at .
Response to the publication by Ueberall and Mueller-Schwefe

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Multivariate Predictors of Failure after Flap Coverage of Pressure Ulcers

Background: Pressure ulcers are estimated to be present in more than one-third of patients with spinal cord injury. The rate of recurrence after flap surgery over last 50 years has ranged between 3 and 82 percent, with no trend toward improvement. This study seeks to identify and evaluate patient and operative characteristics associated with flap dehiscence and ulcer recurrence. Methods: A retrospective chart review of all patients who underwent pressure ulcer flap coverage between 1993 and 2008 was performed. Thirty-one demographic and operative variables were collected. Multivariate logistic regression with generalized estimating equation was used to evaluate the effect of significant variables. The primary outcome was recurrence of pressure ulcer at the operative site. Secondary outcomes included flap line dehiscence and the need for operative revision. Results: There were 88 recurrences of pressure ulcers after flap surgery (39 percent) of 227 operations performed on 135 patients. Thirty-six flaps (16 percent) had dehiscences necessitating return to the operating room. Hemoglobin A1c less than 6 percent and previous same-site flap failure were associated with both dehiscence and recurrence (odds ratios, 2.15 and 3.84; and odds ratios, 6.51 and 3.27). Younger age and albumin less than 3.5 were associated with early flap failure (odds ratios, 5.95 and 2.45). Ischial wound location correlated with late recurrence (odds ratio, 4.01). Patients with multiple risk factors had operative success rates that approached zero. Conclusions: Confirmation of adequate nutritional status and strict preoperative management of blood glucose may improve operative success rates. The authors propose that operative management should be approached with trepidation, if at all, in young patients with recurrent ischial ulcers.
Effect of maternal age on blood loss during parturition: a retrospective multivariate analysis of 10,053 cases

Abstract Objective: An extensive study as to whether maternal age itself is a risk factor for blood loss during parturition. Method: A total of 10,053 consecutive women who delivered a singleton infant were studied.The excess blood loss was defined separately for women with vaginal and cesarean deliveries as ≥= 90th centile value for each delivery mode. The effects of 13 potential risk factors on blood loss were analyzed using multivariate analysis. Results: The 90th centile value of blood loss was 615 ml and 1,531 ml for women with vaginal and cesarean deliveries, respectively. A low lying placenta (odds ratio[OR] , 4.4), previous cesarean (3.1), operative delivery (2.6), leiomyoma (1.9), primiparity (1.6), and maternal age ≥= 35 years (1.5) were significant independent risk factors for excess blood loss in women with vaginal delivery. Placenta previa (6.3), leiomyoma (3.6), low lying placenta (3.3), and maternal age ≥= 35 years (1.8) were significant independent risk factors for excess blood loss in women with cesarean sections. Conclusion: A maternal age of ≥= 35 years was an independent risk factor for excess blood loss irrespective of the mode of delivery, even after adjusting for agerelated complications such as leiomyoma, placenta previa, and low lying placenta.