Miracle-dz/UniFAR-FTUs huggingface dataset:
RNG-based searching and broadcasting over Internet graphs and peer-to-peer computing systems

Abstract In a broadcasting problem, a message is sent from a source to all the other nodes in the network. It can be used for topology updates or to search for a file or information in a peer-to-peer computing system. Blind flooding is a classical mechanism for broadcasting, where each node retransmits received message to all its neighbors. Despite its important advantages, an increase in the number of requests or the size of the routing area produces communication overheads that limit the scalability of blind flooding, especially in networks with dynamic topologies. In this work we propose a new broadcasting and searching scheme over the Internet based on the Relative Neighbourhood Graph (RNG). We extended the definition of RNG in order to use alternative metrics other than geometric. Delay, congestion, random numbers or geographic distances are examples of such metrics that can be used efficiently in RNG based broadcasting. RNG is a sparse connected overlay network which is defined based on local information at each node. This new scheme is compared to the existing Flooding and Rumor Mongering (or Gossip) schemes to evaluate its performance. Our parameterless RNG based scheme guarantees delivery to each node with considerably reduced number of messages with respect to flooding, and has comparable amount of message to Rumor Mongering/Gossip scheme that does not guarantee delivery to each node and also uses parameters whose best value depend on underlying network density.
FATE OF NITROGEN ( 15 N ) FROM VELVET BEAN IN THE SOIL-PLANT SYSTEM

Because of their potential for N 2 biological fixation, legumes are an alternative source of nitrogen to crops, and can even replace or supplement mineral fertilization. A greenhouse experiment was carried out to evaluate temporal patterns of velvet bean (Mucuna aterrima) green manure release of nitrogen to rice plants, and to study the fate of nitrogen from velvet bean in rice cultivation. The isotopic dilution methodology was used. Treatments consisted of a control and 10 incubation periods of soil fertilized with N-labeled velvet bean (0, 20, 40, 60, 90, 120, 150, 180, 210, and 240 days). The plant material was previously chopped, sifted (10 mm mesh sieve) and oven-dried (65oC). Incubation of the plant material (2.2 g kg soil) was initiated by the longest period, in order to synchronize the planting of the test crop, rice (Oryza sativa), at time zero for all treatments. Green manure incorporation promoted increases in rice dry matter yield and nitrogen uptake. These variables showed maximum values at incubation periods of 38 and 169 days, respectively. Green manure nitrogen utilization by rice plants was highest at an incubation period corresponding to 151 days. More than 60% of the green manure nitrogen remained in the soil after rice cultivation. The highest green manure nitrogen recovery from the soil-plant system occurred at an incubation period equivalent to 77 days.
Natural Language Processing of Knee MRI Reports

Natural Language Processing is a powerful tool for processing the large quantity of radiology reports generated in the clinical setting. Previous work has shown NLP to accurately classify reports for abnormality in ear regions, using a bag-of-words approach. In this work, I apply NLP methods to classify a set of 505 knee MRI reports generated at Yale-New Haven Hospital. The reports were drawn from a database of 32,000 knee MRIs and labeled in partnership with trained radiologists. I build a NLP pipeline that first generated features based on n-grams ranging from 1to 10grams. Subsequently, machine learning classifiers including Stochastic Gradient Descent with L1 and L2 loss, Linear Support Vector Machine, Random Forest, k-Nearest Neighbors, and Nearest Centroid classifiers were trained on the data. Accuracy of 93% and overall F1-score of 0.92 was achieved on the test set when SGD was used with a L1 loss. The classifier performed better as the size of the training set increased from 80 to 400. I also trained a deep learning tool based on Word2Vec embeddings that fed into a Convolution Neural Network. This deep learning pipeline achieved an accuracy of 91%, lower than that achieved with SGD, likely due to overfitting to a relatively small dataset. As we expand the set of gold standard labeled data, with the help of the tool that I have built, the performance of CNN may be expected to increase. This work has the potential to be useful for labeling radiology reports available in online databases, guiding physician diagnosis, and informing image recognition work based on the radiology images associated with each report.
THE WISCONSIN TORNADO OUTBREAK OF 23 JUNE 2004

Wisconsin recorded its fifth largest tornado outbreak during the late afternoon and early evening hours of 23 June 2004. Seventeen tornadoes and numerous reports of damaging straight-line winds and large hail accompanied the complex storm structures, which consisted of bow echoes and high-precipitation (HP) supercells. One particular long-track HP supercell produced six tornadoes. One death and 23 injuries resulted from the outbreak of severe weather. Property damage totaled approximately $28.8 million, while crop damage approached $3.1 million. Although severe weather was anticipated, the number of tornadoes was somewhat unexpected. This case was characterized by fast upper flow and strong evolution of a compact surface low, resulting in rapid changes in wind shear and instability. The quick progression and evolution of the synoptic and mesoscale features, as well as relatively low dewpoints for late June, led to difficulty in identifying the magnitude of the severe threat prior to the tornado outbreak. However, analysis of observational data and Rapid Update Cycle (RUC) proximity soundings indicated the 0-1 km shear/storm-relative helicity, lifting condensation levels, and other parameters became favorable for tornadic supercells by late afternoon and evening. Corresponding Author: Mark Gehring, NOAA/National Weather Service, N3533 Hardscrabble Road, Dousman, WI 53118 or via email: Mark.G. Gehring@noaa.gov Mark G. Gehring NOAA/National Weather Service Weather Forecast Office Milwaukee/Sullivan, Wisconsin
IMPACT OF YOUTH EMPOWERMENT SCHEME ON POVERTY ALLEVIATION IN NIGERIA

Nigeria is one of the most endowed economies in African continent with natural and human resources that capable to empower and develop the youths to contribute meaningfully towards sustainable socio-economic and political development. Majority of the youth population of Nigeria are living below poverty line due to their disempowerment in the society. The study primarily examines the impact of Youth Empowerment Scheme (YES) on poverty alleviation between the 2011 and 2015 in Kwara State, Nigeria. Primary data was majorly employed in the study and collected through questionnaire and interview. Eighty-five (85) respondents are chosen using simple random technique among the beneficiaries of the scheme. The data collected was analysed through descriptive and inferential statistics. The findings of the study show that YES has statistically significant impact on the standard of living of the respondents and equally reduce their level of poverty. The findings equally show positive and strong correlation between poverty alleviation and YES, r= . 69, n= 85, p< . 0005. Majority of the respondents also satisfied with the performance of the YES in Kwara State. Recommendations are given based on the performance of YES and obstacles encountered by the beneficiaries in order to further enhance the living condition of the latter.
Phenotyping rodent models of obesity using magnetic resonance imaging.

DAVID HERBERT JOHNSON The emergence of dedicated, small animal imaging systems provides an excellent opportunity to study obesity using the rat and mouse models which will be critical to increasing our basic knowledge as well as deriving new treatments. MRI is well suited for quantifying fat depots (e.g., visceral, subcutaneous, hepatic, muscular) and for helping to determine the role of genetic, environmental, and therapeutic factors on lipid accumulation, metabolism, and disease. Assessment of lipid depots is important because of the linkage of visceral and ectopic depots to insulin resistance, vascular disease, etc. The importance of making reproducible imaging measurements can never be underestimated when conducting a study of many animals, and we demonstrated that ratio imaging enables reliable quantification even on a human clinical 1.5T MRI scanner. Scan-rescan variability and intra-operator variability were each reduced to a 2% coefficient of variation or less when the semi-automatic ratio image analysis was used. Receiver coil signal intensity inhomogeneity of over 200% across the field of view was flattened to less than 3% variation by ratio imaging. Using the SHR/SHROB rat model of dietary and genetic obesity, we found a novel image phenotype which showed that visceral adipose tissue depots are increased in both genetic and dietary obesity, but subcutaneous adipose tissue is uniquely linked to dietary obesity, at least in this model.
Structural Navigability on Complex Networks

The famous Milgram’s small-world experiment revealed that there is something special in the structure of natural and man-made complex systems: without a global view of the network, a message can be routed efficiently between any pair of nodes. Our initial hypothesis is that the community structure, that provides meaningful insights on the structure and function of complex networks, is an important actor in these routing properties. To exploit the modular structure of networks we need to analyze the contribution of each node to the modules. Unfortunately, this analysis involves a huge amount of data. To reduce this problem we propose to build a map using the linear projection theory as a basis of a guided routing. First we project the matrix of contributions of each node of a given network to its modules in a plane using the Truncated Singular Value Decomposition. This two-dimensional plane reveals the structure of modules and their boundaries and we will use it as the map for navigating through the network. Considering that each node only has knowledge about its neighbors, we define a simple greedy routing algorithm to guide the communication among them. We apply our framework to the Internet Autonomous Systems (ASs) network achieving, in high percentage, close to optimal paths.
Limitation and Complexity of ERP System failure in an Organization : A case study

ERP systems are around since Nineteen Nineties. Many organisations across the globe have deployed ERP systems since then. AN ERP system may be a terribly complicated system and its deployment involves the complete organisation. however not all ERP projects that square measure started finish with success. during this article, we analyse a failing ERP project during a tiny organisation within the capital region of Asian nation. we tend to use crucial success factors (CFSs) that are known in literature for analysis. The CSFs that contributed to the failure clad to bepoor project management, lack of management support, ineffective external consultant, ineffective vendor’s team and wrong package selection.
Body size distributions at local , community or taxonomic scales do not predict the direction of trait-driven diversification in snakes in the United States

Methods Using total length and mass, we examine body size frequency distributions (BSFD) across 79 sites and respective biomes to determine if these areas represent random subsamples from the source pools of taxon body sizes. Using QuaSSE, we determine if the most probable model of trait-driven diversification in the three most common groups of snakes in North America, the ratsnakes, pitvipers and watersnakes, is similar to the predicted regional BSFD.
A P ] 2 9 M ay 2 01 8 Turbulent Cascade Direction and Lagrangian Time-Asymmetry

We establish Lagrangian formulae for energy conservation anomalies involving the discrepancy between short-time two-particle dispersion forward and backward in time. These results are facilitated by a rigorous version of the Ott-Mann-Gawȩdzki relation, sometimes described as a “Lagrangian analogue of the 4/5–law”. In particular, we prove that for weak solutions of the Euler equations, the Lagrangian forward/backward dispersion measure matches on to the energy defect [1, 2] in the sense of distributions. For strong limits of d ≥ 3 dimensional Navier-Stokes solutions the defect distribution coincides with the viscous dissipation anomaly. The Lagrangian formula shows that particles released into a 3d turbulent flow will initially disperse faster backward–in–time than forward, in agreement with recent theoretical predictions of Jucha et. al [3]. In two dimensions, we consider strong limits of solutions of the forced Euler equations with increasingly high-wavenumber forcing as a model of an ideal inverse cascade regime. We show that the same Lagrangian dispersion measure matches onto the anomalous input from the infinite-frequency force. As forcing typically acts as an energy source, this leads to the prediction that particles in 2d typically disperse faster forward in time than backward, which is opposite to what occurs in 3d. Time-asymmetry of the Lagrangian dispersion is thereby closely tied to the direction of the turbulent cascade, downscale in d ≥ 3 and upscale in d = 2. These conclusions lend support to the conjecture of [4] that a similar connection holds for time-asymmetry of Richardson two-particle dispersion and cascade direction, albeit at longer times.
Candidate variants at 6 p 21 . 33 and 6 p 22 . 1 and risk of non-small cell lung cancer in a Chinese population

Chromosome 6p21.33, containing BAT3 and MSH5 genes, together with chromosome 6p22.1 were recently identified as susceptible regions for lung cancer in Caucasian populations. These findings interest us in assessing whether genetic variants in these regions also contribute to lung cancer risk in Chinese populations. We genotyped the most significant single nucleotide polymorphism (SNP) (rs9295740) reported in Caucasian populations at Chromosome 6p22.1 and one common potentially functional variant (rs2075789) located at exon 2 of MSH5 in a case-control study including 1009 histologically confirmed non-small cell lung cancer (NSCLC) cases and 1127 cancer-free controls in a Chinese population. We found that the distributions of genotypes of both SNPs between cases and controls were not significantly different (P = 0.624 for rs9295740 and P = 0.937 for rs2075789). Logistic regression analyses revealed neither of the two SNPs was significantly associated with altered risk of NSCLC in dominant or recessive genetic models. When we compared the combined variant genotypes (GA+AA) with the common homozygote GG, assuming a dominant genetic model, the adjusted ORs were 1.03 (95% CI = 0.86-1.25) for rs9295740 and 1.03 (95% CI = 0.85-1.25) for rs2075789. In addition, no significant associations were observed in subgroups stratified by age, gender, smoking status or histologic types. Our results indicate that the most significant SNP rs9295740 identified in Caucasians in 6p22.1 and the potentially functional SNP rs2075789 in 6p21.33, seem not applicable to Chinese populations as susceptible markers for lung cancer. Re-sequencing and fine-mapping this region, along with extensive functional evaluations, is required.
Functional Ability and Self-Rated Health---A Panel Study for the Elderly in Taiwan

The purpose of this study was to examine the influence of socio-demographic factors, health behaviors, physical functional abilities and commercial insurance on self-rated health among the middle aged and elderly in Taiwan. The data, applying a panel data design, investigated whether health behaviors, physical functional abilities and commercial insurance were associated with self-rated health for the middle aged and elderly. The studied subjects were derived from the Survey of Health and Living Status of the Middle Aged and Elderly in Taiwan, which comprised 2,462 observations, aged 50 and over in 1996, and conducted follow-up surveys in 1999, 2003 respectively. Random effects ordered probit regression was performed to assess the panel data and the self-rated health of ordinal, discrete. The empirical results confirm that, when potentially confounding variables were controlled, the elderly with better education, Hakka, Mainlander, people who exercise regularly, and those with commercial insurance had a significantly better level of self-rated health. In contrast, the variables of age, living in rural areas, chronic disease, activities of daily living (ADL), instrumental activities of daily living (IADL), depression, and betel nut chewing all revealed a significant negative influence on estimated self-rated health. Some findings replicated results from previous literature; others were new. In particular, when other factors were excluded, this paper highlights that the significant effects of gender and living in town on self-rated health were attenuated after including some indicators of functional abilities. Functional ability revealed more important influence on self–rated health than gender and living areas factors. In addition, ADL and IADL were overall strongly associated with self-rated health than reports of other health related characteristics among the middle aged and elderly in Taiwan.
Chameleon : The Performance Tuning Tool for MapReduce Query Processing Systems

Chameleon is a tuning advisor to support performance tuning decision-making of MapReduce administrators and users. In MapReduce query processing, a query is translated into a set of jobs, i.e., query plan. For administrators, Chameleon can be a powerful tool for observing query plan workloads and their impact in large-cluster machine setups in terms of computing resource consumptions. For users, Chameleon provides a set of functionalities to tune query plans and observe performance improvements while testing different tuning knobs. Chameleon embeds a tuning mechanism based on a hash index to map jobs to tuning knobs. The hash index allows users defining specific tuning knobs for jobs, while a clustering algorithm is responsible for finding jobs with similar resource consumptions to receive the same tuning. In this demonstration we outline the functionalities of Chameleon and allow users interacting with it by sending and tuning queries for auditing performance improvements.
Karyomorphology of Five Allium species from Nagaland , North-Eastern Region of India

The Allium species {A. chinense (2n=4x=32), A. tuberosum (2n=4x=32), A. hookeri (2n=22), A. ascalonicum (2n=2x=16) and A. sativum (2n=2x=16)} with basic chromosome number (x= 8) were compared karyomorphologically using different quantitative and asymmetry parameters. The total sum of long arm (Σq) was observed high (61.70 μm) in A. hookeri followed by A. ascalonicum (58.87μm), A. chinense (58.44μm), A. tuberosum (57.87μm) and A. sativum (56.78μm), and an exact reverse trend was observed for total sum of short arm (Σp). The maximum mean value of arm ratio was observed in A. hookeri (1.75±0.144), covariance total chromosome length (A2=CVCL) in A. tuberosum (31.66), mean centromere asymmetry (MCA) in A. ascalonicum (1.10), and covariance centromere index (CVCI) in A. hookeri (21.10). The value of relative chromatin (VRC or ACL) was observed similar in tetraploids and diploids. Pearson correlation (p≤0.05 and p≤0.01), PcoA and cluster analysis showed the strong interrelationship of studied parameters among the Allium species. The karyotic formula (KF) and chromosome categorization (on the basis of chromosome length) was drawn for the Allium species (A. chinense, A. tuberosum, A. hookeri, A. ascalonicum and A. sativum) as follows 26m+5sm+1st (B7+C19+D6), 25m+5sm+2st (B13+C19), 12m+9sm+1st (C19+D3), 12m+3sm+1st (C13+D3) and 14m+2sm (A1+B9+C6), respectively. Stebbin’s classification showed 2A and 1B type of chromosomal asymmetry among Allium species.
Integrated Modeling and Control of Electrostatic MEMS , Part II : Control

MEMS, electrostatic, modeling, control Abstract— We present an integrated approach to modeling and control of electrostatically-actuated MEMS. The model consists of a set of fixed or movable electrodes, each coupled to the others through a resistor and capacitance, and to ground through a capacitance and a voltage or current source. This formulation incorporates movable structures, control electrodes, sense electrodes, and parasitic capacitances. The resulting dynamic equations may be directly incorporated into a control framework for stabilization and tracking. Formulas for two controllers are presented, one which requires measurement of electrode voltage and charge, the other which also requires measurement or estimation of the movable electrode velocities. In the absence of parasitics, the first controller can provide almostglobal stabilization of any equilibrium configuration, while the second can do so as well, with additional improvement to the transient response. When parasitics are present, the approach must be modified to prevent the “charge pull-in” bifurcation. A general controller formulation for this case is still under development, but the paper presents a design for the 1 degreeof-freedom case.
THE IMPACT OF THEORETICAL CONSTRUCT VALIDITY ON CAUSAL STRUCTURE MODEL WITHIN BANKING INDUSTRY – a study of applied multivariate data analysis –

The current analysis is based on Hopkins’ data (1997) used to investigated the causal relations between strategic planning and financial performance within banking industry. The correlation matrix for the seven items developed to capture the construct of strategic planning intensity was used to conduct a confirmatory factor analysis and then, a structural model was fitted to data in order to replicate the model used in the original paper. The results of confirmatory factor analysis showed that: (a) the 7 original items do not measure the specified latent variable, but two separated factors that explain 49% of the variance, (b) the latent variable “strategic planning intensity” might be regarded as one-factor structure measured by 5 items (V1 – determining banks’ mission, V2 – developing major long term objectives, V5 – evaluating strategic options, V6 – implementing strategic options, V7 – controlling the implemented strategic option). Although the results of structural equation modelling were not very clear, the general impression was that strategic planning intensity could be indeed regarded as a mediator between institutional factors (managerial and organisational) and financial performance, because: (a) managerial factors have a strong direct effect (0,82) on strategic planning intensity, and also an indirect effect (0,41) on financial performance, mediated by planning intensity, (b) organisational factors have a direct effect on financial performance (0,77) and also an indirect effect (0,086) mediated by planning intensity. The paper ends with few recommendations regarding alternative strategies that might be used to improve the structural model.