Attain your fitness objectives for long-term success: set specific and realistic goals, create a plan, find a workout routine that works for you, incorporate strength training, focus on nutrition, stay consistent, get support and rest and recover.

Aim/Purpose: The objective of this research is to investigate the effect of review consistency between textual content and rating on review helpfulness. A measure of review consistency is introduced to determine the degree to which the review sentiment of textual content conforms with the review rating score. A theoretical model grounded in signaling theory is adopted to explore how different variables (review sentiment, review rating, review length, and review rating variance) affect review consistency and the relationship between review consistency and review helpfulness. Background: Online reviews vary in their characteristics and hence their different quality features and degrees of helpfulness. High-quality online reviews offer consumers the ability to make informed purchase decisions and improve trust in e-commerce websites. The helpfulness of online reviews continues to be a focal research issue regardless of the independent or joint effects of different factors. This research posits that the consistency between review content and review rating is an important quality indicator affecting the helpfulness of online reviews. The review consistency of online reviews is another important requirement for maintaining the significance and perceived value of online reviews. Incidentally, this parameter is inadequately discussed in the literature. A possible reason is that review consistency is not a review feature that can be readily monitored on e-commerce websites. Methodology: More than 100,000 product reviews were collected from Amazon.com and preprocessed using natural language processing tools. Then, the quality reviews were identified, and relevant features were extracted for model training. Machine learning and sentiment analysis techniques were implemented, and each review was assigned a consistency score between 0 (not consistent) and 1 (fully consistent). Finally, signaling theory was employed, and the derived data were analyzed to determine the effect of review consistency on review helpfulness, the effect of several factors on review consistency, and their relationship with review helpfulness. Contribution: This research contributes to the literature by introducing a mathematical measure to determine the consistency between the textual content of online reviews and their associated ratings. Furthermore, a theoretical model grounded in signaling theory was developed to investigate the effect on review helpfulness. This work can considerably extend the body of knowledge on the helpfulness of online reviews, with notable implications for research and practice. Findings: Empirical results have shown that review consistency significantly affects the perceived helpfulness of online reviews. The study similarly finds that review rating is an important factor affecting review consistency; it also confirms a moderating effect of review sentiment, review rating, review length, and review rating variance on the relationship between review consistency and review helpfulness. Overall, the findings reveal the following: (1) online reviews with textual content that correctly explains the associated rating tend to be more helpful; (2) reviews with extreme ratings are more likely to be consistent with their textual content; and (3) comparatively, review consistency more strongly affects the helpfulness of reviews with short textual content, positive polarity textual content, and lower rating scores and variance. Recommendations for Practitioners: E-commerce systems should incorporate a review consistency measure to rank consumer reviews and provide customers with quick and accurate access to the most helpful reviews. Impact on Society: Incorporating a score of review consistency for online reviews can help consumers access the best reviews and make better purchase decisions, and e-commerce systems improve their business, ultimately leading to more effective e-commerce. Future Research: Additional research should be conducted to test the impact of review consistency on helpfulness in different datasets, product types, and different moderating variables.

Even with a sound production process, tortilla appearance depends greatly on raw ingredient quality.

Leavening ingredients and leavening aides are important ingredients that help consistently create the textural qualities of various baked goods. And like every ingredient segment within bakery, leavening agents are subject to ongoing shopper trends.

Top of mind for snack food and wholesale bakery companies who in the market for new or improved mixers are qualities like consistency, temperature control, and the ability to distribute raw materials fast and efficiently.

Renowned Athlete and Bestselling Author Juliet Starrett Declares War on Health Industry Noise, Paving the Way for Lasting Well-being

Variable-speed heat pumps, which dominate the heat pump market in many countries, are getting more attention in the U.S. The NEWS asked several manufacturers about the benefits of the technology.

Is deploying 5G in Singapore necessarily easier just because we’re smaller? Here, the big cities come out to play. #5g #connectivity

Dave Woodhall on Villa's up and down week.

Tottenham boss Ange Postecoglou says their inconsistent start is down to him rather than his players after a fifth Premier League defeat.

BACKGROUND AND PURPOSE:

Preoperative assessment of meningioma consistency is beneficial for optimizing surgical strategy and prognosis of patients. We aim to develop a noninvasive prediction model for meningioma consistency utilizing MR elastography and DTI.

The disposition of functional groups can induce variations in the nature and type of interactions and hence affect the molecular recognition and self-assembly mechanism in cocrystals. To better understand the formation of cocrystals on a molecular level, the effects of disposition of functional groups on the formation of cocrystals were systematically and comprehensively investigated using cresol isomers (o-, m-, p-cresol) as model compounds. Consistency and variability in these cocrystals containing positional isomers were found and analyzed. The structures, molecular recognition and self-assembly mechanism of supramolecular synthons in solution and in their corresponding cocrystals were verified by a combined experimental and theoretical calculation approach. It was found that the heterosynthons (heterotrimer or heterodimer) combined with O—H⋯N hydrogen bonding played a significant role. Hirshfeld surface analysis and computed interaction energy values were used to determine the hierarchical ordering of the weak interactions. The quantitative analyses of charge transfers and molecular electrostatic potential were also applied to reveal and verify the reasons for consistency and variability. Finally, the molecular recognition, self-assembly and evolution process of the supramolecular synthons in solution were investigated. The results confirm that the supramolecular synthon structures formed initially in solution would be carried over to the final cocrystals, and the supramolecular synthon structures are the precursors of cocrystals and the information memory of the cocrystallization process, which is evidence for classical nucleation theory.

Different state-of-the-art methods of the detection of schizophrenia symptoms based on the estimation of text coherence have been analyzed. The analysis of a text at the level of phrases has been suggested. The method based on the graph of the consistency of phrases has been proposed to evaluate the semantic coherence and the cohesion of a text. The semantic coherence, cohesion, and other linguistic features (lexical diversity, lexical density) have been taken into account to form feature vectors for the training of a model-classifier. The training of the classifier has been performed on the set of English-language interviews. According to the retrieved results, the impact of each feature on the output of the model has been analyzed. The results obtained can indicate that the proposed method based on the graph of the consistency of phrases may be used in the different tasks of the detection of mental illness.

A method (and system) of emulation in a multiprocessor system, includes performing an emulation in which a host multiprocessing system of the multiprocessor system supports a weak consistency model, and the target multiprocessing system of the multiprocessor system supports a strong consistency model.

A measuring device comprising at least one mixer structure to receive a fiber suspension sample from at least one process part. Each mixer structure is provided with a measuring unit, a feeding valve for feeding feed liquid into a sample line for pushing the sample in the sample line towards the measuring unit, a mixing valve structure for feeding dilution liquid into the mixer structure The mixer structure mixes the flowing sample and the dilution liquid with one another in order to reduce the consistency of the sample. The measuring device measures from the first part of the mixed sample one property of the fiber suspension and the measuring device measures from the second part of the mixed sample a further property.

The invention relates to a lubricant in the form of grease or thick lubricating gel or transmission oil, as well as motor or universal oils with a myriad of applications. As a result of its contents presented in the patent application is characteristic of low coefficient of friction ranging from 0.055 to 0.062. As the main component, the contents of the discussed lubricant includes three or four stearates of metals or hydroxistearates of metals, which interact and cause a noticeable reduction of friction drag on the lubricated surfaces. Additionally, these substances may include a number of other solid or liquid elements, which maintain low friction drags and, furthermore, improve the lubricant through increasing its load capacity, antirust characteristics, shear strength, etc. The lubricant made according to the invention underwent comparative tests against other greases and greasing oils, the accounts of which are included in the application as diagrams, descriptions of research tests and examples of the contents of the lubricant products.

A method and apparatus for identifying an inconsistency. A number of waves that propagate through a structure are generated. A response signal is generated in response to detecting at least a portion of the number of waves that propagate through the structure. A determination is made as to whether the response signal includes a reflected component. A presence of the inconsistency in the structure is indicated when the response signal includes the reflected component.

Dave Woodhall on Villa's up and down week.

We spoke to the SC-native rap star about his industry rise.

Clippers stars Kawhi Leonard and Paul George know time is running out to develop consistency that matches their top-end potential.

Trump cedes power to the states when it suits him, and claims it for the federal government when it suits.

James Walsh
Proc. Amer. Math. Soc. 148 (2020), 2645-2654.
Abstract, references and article information

It could be argued that Ender Inciarte stands as the X-factor in regard to the Braves' bid to defend last year's National League East crown and experience a successful postseason.

Vincent Brault, Christine Keribin, Mahendra Mariadassou.

Source: Electronic Journal of Statistics, Volume 14, Number 1, 1234--1268.

Abstract:
The Latent Block Model (LBM) is a model-based method to cluster simultaneously the $d$ columns and $n$ rows of a data matrix. Parameter estimation in LBM is a difficult and multifaceted problem. Although various estimation strategies have been proposed and are now well understood empirically, theoretical guarantees about their asymptotic behavior is rather sparse and most results are limited to the binary setting. We prove here theoretical guarantees in the valued settings. We show that under some mild conditions on the parameter space, and in an asymptotic regime where $log (d)/n$ and $log (n)/d$ tend to $0$ when $n$ and $d$ tend to infinity, (1) the maximum-likelihood estimate of the complete model (with known labels) is consistent and (2) the log-likelihood ratios are equivalent under the complete and observed (with unknown labels) models. This equivalence allows us to transfer the asymptotic consistency, and under mild conditions, asymptotic normality, to the maximum likelihood estimate under the observed model. Moreover, the variational estimator is also consistent and, under the same conditions, asymptotically normal.

This paper considers a Bayesian approach to graph-based semi-supervised learning. We show that if the graph parameters are suitably scaled, the graph-posteriors converge to a continuum limit as the size of the unlabeled data set grows. This consistency result has profound algorithmic implications: we prove that when consistency holds, carefully designed Markov chain Monte Carlo algorithms have a uniform spectral gap, independent of the number of unlabeled inputs. Numerical experiments illustrate and complement the theory.

Michael Schweinberger, Jonathan Stewart.

Source: The Annals of Statistics, Volume 48, Number 1, 374--396.

Abstract:
Statistical inference for exponential-family models of random graphs with dependent edges is challenging. We stress the importance of additional structure and show that additional structure facilitates statistical inference. A simple example of a random graph with additional structure is a random graph with neighborhoods and local dependence within neighborhoods. We develop the first concentration and consistency results for maximum likelihood and $M$-estimators of a wide range of canonical and curved exponential-family models of random graphs with local dependence. All results are nonasymptotic and applicable to random graphs with finite populations of nodes, although asymptotic consistency results can be obtained as well. In addition, we show that additional structure can facilitate subgraph-to-graph estimation, and present concentration results for subgraph-to-graph estimators. As an application, we consider popular curved exponential-family models of random graphs, with local dependence induced by transitivity and parameter vectors whose dimensions depend on the number of nodes.

Kyoungjae Lee, Jaeyong Lee, Lizhen Lin.

Source: The Annals of Statistics, Volume 47, Number 6, 3413--3437.

Abstract:
In this paper we study the high-dimensional sparse directed acyclic graph (DAG) models under the empirical sparse Cholesky prior. Among our results, strong model selection consistency or graph selection consistency is obtained under more general conditions than those in the existing literature. Compared to Cao, Khare and Ghosh [ Ann. Statist. (2019) 47 319–348], the required conditions are weakened in terms of the dimensionality, sparsity and lower bound of the nonzero elements in the Cholesky factor. Furthermore, our result does not require the irrepresentable condition, which is necessary for Lasso-type methods. We also derive the posterior convergence rates for precision matrices and Cholesky factors with respect to various matrix norms. The obtained posterior convergence rates are the fastest among those of the existing Bayesian approaches. In particular, we prove that our posterior convergence rates for Cholesky factors are the minimax or at least nearly minimax depending on the relative size of true sparseness for the entire dimension. The simulation study confirms that the proposed method outperforms the competing methods.

Irina Gaynanova.

Source: Bernoulli, Volume 26, Number 1, 286--322.

Abstract:
Sparse linear discriminant analysis via penalized optimal scoring is a successful tool for classification in high-dimensional settings. While the variable selection consistency of sparse optimal scoring has been established, the corresponding prediction and estimation consistency results have been lacking. We bridge this gap by providing probabilistic bounds on out-of-sample prediction error and estimation error of multi-class penalized optimal scoring allowing for diverging number of classes.

Xuan Cao, Kshitij Khare, Malay Ghosh.

Source: Bayesian Analysis, Volume 15, Number 1, 241--262.

Abstract:
The choice of tuning parameters in Bayesian variable selection is a critical problem in modern statistics. In particular, for Bayesian linear regression with non-local priors, the scale parameter in the non-local prior density is an important tuning parameter which reflects the dispersion of the non-local prior density around zero, and implicitly determines the size of the regression coefficients that will be shrunk to zero. Current approaches treat the scale parameter as given, and suggest choices based on prior coverage/asymptotic considerations. In this paper, we consider the fully Bayesian approach introduced in (Wu, 2016) with the pMOM non-local prior and an appropriate Inverse-Gamma prior on the tuning parameter to analyze the underlying theoretical property. Under standard regularity assumptions, we establish strong model selection consistency in a high-dimensional setting, where $p$ is allowed to increase at a polynomial rate with $n$ or even at a sub-exponential rate with $n$ . Through simulation studies, we demonstrate that our model selection procedure can outperform other Bayesian methods which treat the scale parameter as given, and commonly used penalized likelihood methods, in a range of simulation settings.

Parents influence their child’s overweight development through lifestyle-related parenting practices. Although broader parenting dimensions may also affect children’s BMI, reverse causality is possible and there have been calls to examine the possible impacts of fathers.

More consistent parenting prospectively predicted lower child BMI with effects equally strong for fathers and mothers. There was little evidence of child BMI influencing parenting. Improved child BMI could be among the benefits of promoting parenting consistency of both parents. (Read the full article)

The importance of noncoding RNA sequences has become increasingly clear over the past decade. New RNA families are often detected and analyzed using comparative methods based on multiple sequence alignments. Accordingly, a number of programs have been developed for aligning and deriving secondary structures from sets of RNA sequences. Yet, the best tools for these tasks remain unclear because existing benchmarks contain too few sequences belonging to only a small number of RNA families. RNAconTest (RNA consistency test) is a new benchmarking approach relying on the observation that secondary structure is often conserved across highly divergent RNA sequences from the same family. RNAconTest scores multiple sequence alignments based on the level of consistency among known secondary structures belonging to reference sequences in their output alignment. Similarly, consensus secondary structure predictions are scored according to their agreement with one or more known structures in a family. Comparing the performance of 10 popular alignment programs using RNAconTest revealed that DAFS, DECIPHER, LocARNA, and MAFFT created the most structurally consistent alignments. The best consensus secondary structure predictions were generated by DAFS and LocARNA (via RNAalifold). Many of the methods specific to noncoding RNAs exhibited poor scalability as the number or length of input sequences increased, and several programs displayed substantial declines in score as more sequences were aligned. Overall, RNAconTest provides a means of testing and improving tools for comparative RNA analysis, as well as highlighting the best available approaches. RNAconTest is available from the DECIPHER website (http://DECIPHER.codes/Downloads.html).

The bioprocessing industry uses recombinant mammalian cell lines to generate therapeutic biologic drugs. To ensure consistent product quality of the therapeutic proteins, it is imperative to have a controlled production process. Regulatory agencies and the biotechnology industry consider cell line "clonal origin" an important aspect of maintaining process control. Demonstration of clonal origin of the cell substrate, or production cell line, has received considerable attention in the past few years, and the industry has improved methods and devised standards to increase the probability and/or assurance of clonal derivation. However, older production cell lines developed before the implementation of these methods, herein referred to as "legacy cell lines," may not meet current regulatory expectations for demonstration of clonal derivation. In this article, the members of the IQ Consortium Working Group on Clonality present our position that the demonstration of process consistency and product comparability of critical quality attributes throughout the development life cycle should be sufficient to approve a license application without additional genetic analysis to support clonal origin, even for legacy cell lines that may not meet current day clonal derivation standards. With this commentary, we discuss advantages and limitations of genetic testing methods to support clonal derivation of legacy cell lines and wish to promote a mutual understanding with the regulatory authorities regarding their optional use during early drug development, subsequent to Investigational New Drug (IND) application and before demonstration of product and process consistency at Biologics License Applications (BLA) submission.

On the 13th anniversary of the VIVO IPL, Mumbai Indians’ lethal strike weapon Lasith Malinga was declared the Greatest of All Time (G.O.A.T) among bowlers in the storied history of the tournament by an esteemed jury by Star Sports on their flagship show Cricket Connected. The Sri Lankan veteran, part of an elite 10-bowler nominee list, pipped the likes of Dale Steyn, Ashish Nehra, Sunil Narine and Jasprit Bumrah for the award.

The highest wicket-taker in the tournament with 170 wickets in 122 matches, ‘Slinga Malinga’ has been one of those legends who changed the perception of T20 cricket and became one of the early heroes in a batsman-dominated format. Despite overcoming a string of fitness issues, Malinga has been able to deliver pinpoint toe-crushers coupled with skillful variations over the last 12 years of the VIVO IPL that made him one of the most threatening bowlers to face at any stage of the game, and the unanimous choice for the GOAT bowler. In fact, it was Malinga’s last over that gave Mumbai Indians their fourth title with a one-run, last-ball win in 2019.

Former England captain and Star Sports expert Kevin Pietersen, part of the jury, backed his decision to choose Malinga for the coveted award said on Cricket Connected, “I’m going with Lasith. You look at the numbers he has served up and the way he has consistently used that yorker, that makes everyone talk about it. Malinga is my guy. I would go with Narine, but he has bowled on wickets which helped turn. Also, he has been questioned on a few occasions for this suspect bowling action, so I am afraid to say that I am going with Malinga,”.

In addition, Malinga, the first Sri Lankan to claim four wickets in four deliveries, went past Bhuvneshwar Kumar, Ashish Nehra, Ravichandran Ashwin, Amit Mishra, Imran Tahir and Yuzvendra Chahal, who were also part of the nominee list.

Besides winning Pietersen’s vote, Malinga also found favour among Star Sports experts Dean Jones, Mathew Hayden, Aakash Chopra, Graeme Smith, Simon Doull, Ian Bishop and Tom Moody, who all voted for the Sri Lankan as their first choice for GOAT – bowler.

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Indian hockey legend Dhanraj Pillay feels that the men's team needs to be more consistent with its performance.

Indian women's hockey team coach Sjoerd Marijne feels his side's fitness will be the key for their success at the 2020 Tokyo Olympics.

The Indian men's hockey team will be making their debut in the FIH Pro League, where captain Manpreet Singh feels they will be tested ahead of the 2020 Tokyo Olympics.

Red Bull's Verstappen has gained a reputation as an aggressive driver prepared to take risks in Formula One.

Cham, Switzerland : Springer, [2019]

Platjouw, Froukje Maria, author

Dewey Library - JK1764.L84 2018