Miracle-dz/UniFAR-FTUs huggingface dataset:
SOIL MICROFLORA OF SHOLA FORESTS OF ERAVIKULAM NATIONAL

The soil microflora of shola forests and grasslands of Eravikulam National Park (ENP) was studied for a period of three years. The main objective of the study was to prepare an inventory of the soil microorganisms (with special emphasis on fungi) in the shola forest ecosystem which is considered to be ecologically unique. In general, the density (colony forming units per gram of dry soil) of actinomycetes and bacteria in soils of shola forests and grasslands (>2000 m asl) was lower compared to that in low elevation areas (<500 m asl) in South India. Mitosporic fungi formed the main constituent of soil mycoflora; penicilla, aspergilli and Trichoderma dominated the isolations. Species of the genus Streptomyces dominated the actinomycete population. In all, 34 genera and 101 species of fungi were isolated from the soils of shola forests and grasslands. Actinomycetes were represented by only two genera. Interestingly, the species composjtion of fungi in soils of ENP showed close resemblance to that of temperate regions. Shola forests and grasslands yielded floristically dissimilar communities of soil microfungi indicating the variation in the environmental conditions between the two ecosystems. Soil fungal and actinomyete flora of ENP was low in species diversity compared to that of low elevation areas in Kerala probably due to the higher relative diversity of microhabitats in the latter. The relative abundance of penicillia and mucoraceous fungi in soils of ENP is worth mentioning. Thirteen species of fungi isolated during the present study formed new records for India. Eleven species of fungi which were rarely recorded from India could also be isolated from soils of ENP. All the fungal isolates (34 genera and 101 species) are conserved ex-situ in the culture collection facility at the Kerala Forest Research Institute. In summary, the soil fungal flora of shola forests and grasslands of ENP appears to be unique in species composition compared to that of low elevation areas in the State. The abundance of rare species of Penicillium and other fungi indicates that these two ecosystems may contain fungi with great potential for innovative biotechnology. Efforts are warranted to conserve the microbial diversity of these unique ecosystems through protection from disturbance and exploitation.
DEEP LEARNING : APPLICATIONS AND LESSONS LEARNED

Deep learning has revolutionized computer vision and natural language processing with various algorithms scaled using high-performance computing. At the NASA Marshall Space Flight Center (MSFC), the Data Science and Informatics Group (DSIG) has been using deep learning for a variety of Earth science applications. This paper provides examples of the applications and also addresses some of the challenges that were encountered.
Enhanced Fingerprint Matching By Distortion Removal A .

Unique mark acknowledgment is an all around examined issue, and there are a few profoundly precise frameworks economically accessible. On the other hand, this biometric innovation still experiences issues with the treatment of awful quality prints. Late research has started to handle the issues of low quality information. This paper takes another way to deal with one issue assailing fingerprints — that of contortion. Past endeavors have been made to guarantee that procured prints are not contorted, but rather the novel methodology introduced here amends bends in fingerprints that have as of now been gained. This rectification is a totally programmed and unsupervised operation. The contortions displaying and amendment are clarified, and results are introduced exhibiting huge upgrades in coordinating exactness through the use of the procedure.
2 A Practical Compromise : Sequential Pairwise Deliberation

In large scale collective decision making, social choice is a normative study of how one ought to design a protocol for reaching consensus. However, in instances where the underlying decision space is too large or complex for ordinal voting, standard voting methods of social choice may be impractical. How then can we design a mechanism preferably decentralized, simple, scalable, and not requiring any special knowledge of the decision space to reach consensus? We propose sequential deliberation as a natural solution to this problem. In this iterative method, successive pairs of agents bargain over the decision space using the previous decision as a disagreement alternative. We describe the general method and analyze the quality of its outcome when the space of preferences define a median graph. We show that sequential deliberation finds a 1.208approximation to the optimal social cost on such graphs, coming very close to this value with only a small constant number of agents sampled from the population. We also show lower bounds on simpler classes of mechanisms to justify our design choices. We further show that sequential deliberation is ex-post Pareto efficient and has truthful reporting as an equilibrium of the induced extensive form game. We finally show that for general metric spaces, the second moment of of the distribution of social cost of the outcomes produced by sequential deliberation is also bounded.
Semi-blind spatio-temporal equalization and multiuser detection for DS-CDMA systems

We propose a novel strategy for semi-blind spatio-temporal equalization and multiuser detection for short-burst asynchronous DS-CDMA systems. The technique is based on first performing semi-blind subspace-based channel identification and then semi-blind equalization via the constant modulus algorithm (CMA). In this way we are able to improve upon the traditional training-based least squares (LS) estimator by adding the constant modulus and cyclostationary properties of communication signals. Simulation results indicate a significant reduction in the required number of training symbols (for a short burst of data) compared with regularized LS estimators (both training-based and semi-blind). Application is in the reverse link of third-generation DS-CDMA systems.
Study of Cytochrome P 450 1 A 1 ( T 3801 C ) Single Nucleotide Polymorphism in Patients with Breast Cancer in Mazandaran Province-Northern Iran

Corresponding Author: Ali Barzegar Department of Basic Sciences, Sari University of Agricultural Sciences and Natural Resources Phone: +9811-33822574 E-mail: alibar647@yahoo.com Abstract Background: Breast cancer is the first leading cause of cancer-related death in women. Pesticides which are excessively used in northern Iran are one of the most important risk factors for breast cancer incidence. The cytochrome P450 1A1 (cyp1A1) is a key enzyme in xenobiotics metabolism and SNPs of its coding gene has been verified to be important in cancer susceptibility. The aim of this study was to evaluate the association of cyp1A1 M1 polymorphism with the risk of breast cancer in Mazandaran province. Materials and Methods: Ninety six breast cancer patients with known clinopathological characters and 110 healthy women as control were genotyped for cyp1A1 M1 polymorphisms by PCR-RFLP technique using Msp1 restriction enzymes. Logistic regression model was applied for statistical analysis. Results: The frequency of TT and TC genotypes of M1 polymorphism was calculated 86, 14% for cases and 79 and 21% for control group, respectively. Surprisingly, the mutant CC genotype was not found in any subjects. Statistical analysis showed no significant correlation between allelic variants and breast cancer risk (p value; 0.42, OR; 0.66, CI; 0.24-1.81). No significant correlation was also found between genotypic frequency and clinopathological characters. Conclusion: Only TT and TC genotypes were found in the studied subjects. The M1 allelic variants were significantly associated neither with breast cancer risk nor with clinopathological characteristics.
Métodos de programação dinâmica para solução de problemas de planejamento probabilístico

Quando estudamos a tomada automática de decisão um problema comum é o de ir de uma con guração inicial do mundo para uma con guração desejada com o menor custo esperado. Se queremos resolver um problema deste tipo costumamos usar um modelo chamado de caminho estocástico mínimo (Shortest Stochastic Path SSP). Este modelo é baseado nos Processos markovianos de decisão (Markov Decision Processes MDP), com algumas diferenças que o tornam mais interessante computacionalmente e mais natural para modelar este tipo de problema. Neste artigo revisaremos os algoritmos que representam o estado da arte na resolução deste tipo de problema e apontaremos o caminho que está sendo seguido nesta pesquisa. A base para os algoritmos é o Real-Time Dynamic Programming (RTDP), que apresenta uma tática e ciente para atualização assíncrona do valor dos estados. A partir desta tática, surgem dois algoritmos: o Labeled RealTime Dynamic Programming (LRTDP), que apresenta uma maneira interessante de marcar os estados para aumentar a velocidade de convergência do algoritmo e o Bounded Real-Time Dynamic Programming (BRTDP), que utiliza duas heurísticas para ajudar na escolha dos estados que devem ser atualizados e para saber quando a política convergiu.
TIME LATENCY OF INFORMATION IN NETWORKED OPERATIONS : EFFECT OF ‘ HUMAN IN THE LOOP ’

Time has always been of crucial importance in military networked operations, and consequently of Command and Control. Often, humans are required to extract, interpret and validate information from raw data at one or more points along the path from source to users. In this paper, we study the time latency of information under the influence of ‘human in the loop’ in networked operations, using the Canadian Forces Intelligence unit as an illustrative example. We derive a closed form expression for the time delay associated with human interpretation of data via a Discrete Time Markov Chain model. Parametric studies on changes in the governing variables of the time delay expression provide us with valuable insights on how to expedite the filtering, analyzing and redirecting of information process through training. The aim is to better understand the issues on ‘timeliness’ of information.
United States Patent

3,186,941 3,293,195 3,342,729 3,423,491 3,453,354 3,541,030 3,553,306 3,645,922 References’ Cited UNITED STATES PATENTS 6/1965 Skiens . 210/32 12/1966 Greer . 260/2.1 E 9/1967 Strand . 210/500 M McLain et a1 . 210/500 M X Tejeda et al. . 264/1 13 Boies . 260/2.1 E Church . 260/2.1 E X Weiss et al. . 260/2.1 E X 1/1969 7/1969 1 1/1970 1/1971 2/1972 3,754,055 8/1973 Rembaum . 260/879
interstitial flow in skin Regulation of lymphatic capillary regeneration by

You might find this additional information useful. This article cites 25 articles, 19 of which you can access free at: http://ajpheart.physiology. org/cgi/content/full/292/5/H2176#BIBL Updated information and services including high-resolution figures, can be found at: http://ajpheart.physiology. org/cgi/content/full/292/5/H2176 Additional material and information about AJP - Heart and Circulatory Physiology can be found at: http://www.the-aps.org/publications/ajpheart This information is current as of May 9, 2007 . € ISSN: 0363-6135, ESSN: 1522-1539. Visit our website at http://www.the-aps.org/.
Simulating regional-scale ozone climatology over the eastern United States : model evaluation results

To study the potential impacts of climate change on air quality and public health over the eastern United States, a coupled global/regional-scale modeling system consisting of the NASA-Goddard Institute for Space Studies Atmosphere–Ocean model, the MM5 mesoscale meteorological model and the Community Multiscale Air Quality (CMAQ) model for air quality has been developed. Evaluation results of the modeling system used to simulate climate and ozone air quality over the eastern United States during the five summers of 1993–1997 are presented in this paper. The results indicate that MM5 and CMAQ capture interannual and synoptic-scale variability present in surface temperature and ozone observations in the current climate, while the magnitude of fluctuations on shorter time scales is underestimated. A comparison of observed and predicted spatial patterns of daily maximum ozone concentrations shows best performance in predicting patterns for average and above-average ozone concentrations. The frequency distributions of the duration of extreme heat and ozone events show similar features for both model predictions and observations. Finally, application of a synoptic map-typing procedure reveals that the MM5/CMAQ system succeeded in simulating the average ozone concentrations associated with several frequent pressure patterns, indicating that the effects of synoptic-scale meteorology on ozone concentrations are captured by the modeling system. It is concluded that the GCM/MM5/CMAQ system is a suitable tool for the simulation of summertime surface temperature and ozone air quality conditions over the eastern United States in the present climate. r 2004 Elsevier Ltd. All rights reserved.
Comment on " Water ascent in tall trees : does evolution of land plants rely on a highly metastable state ? " by Ulrich Zimmermann ,

The critique given by Zimmermann et al. (2004) of Holbrook et al. (1995) is fundamentally flawed. Figure 1 of Holbrook et al. (1995) is a stick figure schematic illustration of the experiment presented in the paper, with the leaf chamber size and details given in footnote 13. Zimmermann et al display a fundamental misunderstanding of the correct application of the centrifugal force equation used in the experiment. Their imaginary scenario produces tensions 1/225 th to 1/2500 th of those needed to produce the 1:1 observations of Holbrook et al., rather than produce tensions capable of providing an alternative path to the observed 1:1 observation. In addition, they mislead the reader by failing to point out that the water potential of the control leaves was independent of the angular velocity.
Age-specific improvements in impaired fasting glucose and vitamin D status using a lifestyle intervention programme in overweight and obese Saudi subjects

The present study aimed to determine the health benefits of a 3-month lifestyle interventional programme with emphasis on lowering dietary fat content and increasing sunlight exposure in overweight and obese hyperglycemic subjects according to age. Saudi overweight and obese subjects (n=221) with fasting blood glucose between 5.6-6.9 mmol/l underwent a 3-month self-monitoring lifestyle intervention programme. Subjects were divided based on age into 3 groups: 1 (12-17 yr), 2 (18-45 yr) and 3 (46-70 yr). Overall, the 3 month follow up data identified significant improvement in fasting blood glucose, systolic and diastolic blood pressure and vitamin D levels as compared to baseline values (P values 2.2×10-4, 8.6×10-4, 0.001 and 7.6×10-5 respectively). Analysis by age groups determined significant improvement in fasting blood glucose in both group 1 (P=0.003) and 2 (P=0.035); systolic and diastolic blood pressure also reduced significantly in group 1 (P=0.029 and 0.006) and group 2 (P=0.001 and 0.006) respectively. Group 2 also showed a significant increase in vitamin D levels (P=3.6×10-6) whilst group 3 appeared to only reduce their BMI significantly (P=0.008). Analysis within groups revealed 27.3%, 25% and 17.6% of group 1, 2 and 3 were able to improve their fasting blood glucose levels. In conclusion, a 3 month intervention in lifestyle can lead to improved fasting blood glucose and vitamin D status in younger people whilst older people only appear to substantially improve their BMI. As such, these studies highlight that intervention in the young could provide benefits for long-term health whilst these benefits would appear to be reduced with age.
\“NIBA – TAG” - A Tool For Analyzing And Preparing German Texts

NIBA-TAG is some kind of multilevel natural language tagger with rich functionality. It functions as a word-stemmer, a morphological parser and a normal POS-Tagger, which uses syntactic und semantic features for contextually influenced word-tagging. Each rule is based on a ranking-mechanism which is currently related to the levels “fact”, “proposal” and “guess”. One of the postprocessing-units analyzes the ranking-structure and can change a “proposal” to a “fact”, if enough rules made an identical proposal for a word. The default output is XML, where the level of precision can be specified. So one could generate a XML-file only including the guesses, or a file with all attributes relevant for the status of a proposal.
Could Circulating Tumor Cells and ARV7 Detection Improve Clinical Decisions in Metastatic Castration-Resistant Prostate Cancer? The Istituto Nazionale dei Tumori (INT) Experience

Enzalutamide and abiraterone have been shown to improve progression-free survival (PFS) and overall survival (OS) in metastatic castration-resistant prostate cancer (mCRPC) patients. Moreover, some patients may not benefit from the inhibition of androgen receptor (AR) activity or, alternatively, may develop secondary resistance. Detection in patients’ circulating tumor cells (CTCs) of ARV7, a splicing variant of AR lacking the ligand-binding domain, showed a link with treatment failure. Independent confirmation of the predictive role of CTC status combined with ARV7 detection is, therefore, a priority for extending personalized biomarker-driven treatments to all patients. In this prospective observational study, CTC status and the expression of AR and ARV7 were measured in 37 mCRPC patients, before starting treatment with enzalutamide or abiraterone, by employing commercially available kits. CTC status was positive in 21/37 patients: 46% and 24% of CTC-positive patients were defined as AR- and ARV7-positive, respectively. Kaplan–Meier estimates showed that positivity for each variable was significantly associated with poorer radiological PFS, PSA-PFS, and OS. All considered treatment outcomes worsened when going from CTC-negative to CTC-positive/ARV7-negative to CTC-positive/ARV7-positive patients, both in the global case series and in patients stratified into three groups based on basal PSA levels. Presently, technical approaches appear to be mature for introducing CTC/ARV7 tests in clinical practice.
Knowledge Management of Information Extraction from Social Networking System through WCF Service

2 Abstract: Social Networking System is one of the most popular Internet applications. This paper presents an online information service model based on Social Networking Systems. "Knowledge management of information extraction from Social Networking System through WCF Service" demonstrates an effective and efficient technique for extract online information from staff members profile based on Social Networking System and automatically embeds that information in an education institution website through WCF, which can make the college database more light and accurate. The data mining in SNS profiles is done through K-means Clustering. A case study based on FACE KUTTER, a practice SNS for staff members of an education institution is implemented. The performance of FACE KUTTER is compared with other widely used Social Networking Systems.
Alternative Gaits for Multiped Robots with Leg Failures to Retain Maneuverability

In modern day, from planetary exploration, disaster response to antiterrorism mission multiped robot has become the major tool. Smart robot with effective gait plan may play a significant role in such missions. But if a leg is injured, it is not possible to repair in this kind of mission. Then robot needs some alternative strategies to complete its mission. This paper proposes a removable sliding leg approach to solve this problem. A fault leg can be detaches and other legs can be slide to better position by the command of operator to get optimum alternative gait configuration. Based on leg sequence, stride length, longitudinal stability and efficiency, alternative gaits are evaluated. This paper recommends tables for different gait sequence with progressive efficiency. These tables can provide options for alternative gait and information about certain damaged leg. Moreover, a procedure for a multi-legged robot to complete its mission after serious leg failure is included. By taking the recommended tables and procedure, the multiped Robot can overcome any fault event and maintain stability and efficiency.
Screening of indigenous aromatic rice cultivars for yield and aroma under moisture stress condition in western undulating zone of Odisha

Performance of forty genotypes comprising nineteen land races, one local check variety (Acharmati) and six high yielding varieties, twelve popular aromatic rice cultivars and two advanced breeding lines were evaluated to determine character association, variability and diversity for grain yield, yield components and aroma level under irrigated and non-irrigated conditions at RRTTS, Bhawanipatna, Odisha. High values of phenotypic coefficient of variance (PCV), genotypic coefficient of variance (GCV), high heritability (h and genetic advance (GA) were recorded for aroma level, grains per panicle and thousand grain weight. Significant positive correlation for panicles per plant (r =.603) and negative correlation for aroma level (r = -.370) was observed with yield. All the genotypes were grouped into 11 clusters. Most of the indigenous aromatic rice cultivars were found in Cluster I and others distributed in cluster IV, cluster V, cluster VII and cluster XI. Cluster II consisted of basmati types and cluster III comprised HYV. Aromatic Test (sensory test) using 1.7% KOH solution was done for rapid evaluation of aroma level of the genotypes. The present study revealed that the indigenous aromatic rice cultivars like Gangaballi, Khosakani, Neelabati, with high aroma level, Dubraj and Dhanaprasad with faint aroma were superior genotypes of their respective clusters under both irrigated and non-irrigated conditions. Crossing between superior genotypes of diverse cluster pairs may provide desirable transgressive segregants for developing high yielding varieties of aromatic rice and can be used as potential breeding materials for improvement of aromatic land races.