Efficacy Sample Clauses

Efficacy. When tested against Pseudomonas aeruginosa and Staphylococcus aureus in 4 hours achieves at least a 4.0 log reduction at time zero and a log reduction of 3.0 throughout the shelf life. Reference WI-8.

Efficacy. Except as specifically provided herein, this Amendment does not in any way waive, amend, modify, affect or impair the terms and conditions of the Purchase Agreement, and all terms and conditions of the Purchase Agreement are hereby ratified and confirmed and shall remain in full force and effect unless otherwise specifically amended, waived, modified or changed pursuant to the terms and conditions of this Amendment. This Amendment shall become effective upon its execution, which may occur in one or more counterparts in accordance with Section 5 hereof.

Efficacy a. Descriptive statistics for all primary and secondary endpoints

Efficacy. DURATION - CESSATION This contract is valid from to In case the event shall last longer, the present can be extended prior to written agreement among the parties. The event organizer shall communicate to the Agency the reasons for requesting the extension of the present contract. The Agency once assessed these reasons, can grant a time extension or can decide to resolve the present contract without any claim by the organizer. The Agency retains the right to terminate the contract for breach at any time, with the exception of the already completed activities, giving a notice of 30 (thirty) working days. This notice shall be communicated through registered letter.

Efficacy. This License Agreement is valid without Licensor’s signature. It becomes effective upon the Licensee’s first use of the Product.

Efficacy. The Products that result from the practice of the USGN Know-How or the USGN Patent Rights will effectively neutralize or decontaminate the biological and/or chemical substances as set forth in Exhibit C and are fit for the purpose of neutralizing or decontaminating such substances as set forth in Exhibit C.

Efficacy. We will assess differences in the numbers of females surviving between release and non-release treatments, as well as how survival is affected by the following variables: • Release rate (the number of male adults released/exiting a single mosquito rearing box) • Trap distance (how far the trap is from the point of release) • Site (which site replicate is being measured) We will assess the difference in female survival between release and non-release sites using general linear mixed-effects models (GLMM) with the random effect of site, a crossed random effect of trap distance, and the covariates life stage and release rate. The model will use a quasibinomial distribution and a logit link function since the response variable is recorded as a percentage. Percent efficacy and 95% confidence intervals will be calculated from the results of the GLMM. The efficacy (E) of OX5034 to kill female mosquitoes is calculated using an adaption of Xxxxx’s formula: E=100*((C-T)/C) or E=100*(1-T/C) E = percentage efficacy in individual ovitraps from the treated area. C = percentage of untreated females surviving across all ovitraps in control areas. T = percentage of treated, i.e. fluorescent females surviving in individual ovitraps. Persistence Monitoring The Xxxxxx-Xxxxx estimator will be used to characterize the persistence of the OX5034 gene in release sites. Estimated median values, 95% confidence intervals, interquartile ranges and maxima will be reported.

Efficacy. ‌ The reordering truncation method avoids the pitfalls of the methods from Chapters 3 and 4. The singular values are non-negative and the amount of important information that gets discarded in K1 is minimized. Section 5.4 shows its actual performance on test problems. Compared to the baseline and truncation method, it is the best choice to get good performance for an operator K for which no a priori knowledge about K1 is known. On matrices K for which K1 is a poor approximation, it vastly outperforms the baseline. And on matrices for which K1 is a good approximation, the reordering method typically yields (with an exception noted shortly) more accurate reconstruction results compared to the reconstructions from the true TSVD than the simple truncation method for the same truncation index; this is because the reordering method includes more significant singular vectors. This is detailed experimentally in Appendix A. One pathological case when the reordering method does not give better results is when all singular values are equal in Σ1, in which case the reordering and truncation methods produce identical results. Further, with the reordering method there is no restriction on the truncation index chosen. Unlike the simple truncation method, the reordering method enables use of prime truncation indexes k. We will see that the truncation method does produce more fine details in its reconstructions, which may be preferable for some applications. But this is less accurate compared to the true TSVD reconstruction, as verified by the truncation method producing less accurate singular value approximation. To be clear, this reordering method is not generally highly accurate. The goal is not to exactly compute a TSVD, but to instead cheaply approximate the TSVD. By approximating K with r < R terms in the Kronecker summation and truncating the matrix factorization, information is lost. However, as a cheap approximation, this gives the best results in general of the methods described.

Efficacy. When tested against Pseudomonas aeruginosa in 30 minutes achieves at least a 4.0 log reduction at time zero and a log reduction of 3.0 throughout the shelf life. Reference WI-8.

Efficacy. Unless stated otherwise in the SAP, efficacy analyses will be performed on the ITT population. The ITT population is defined as all randomized patients.