Summary of Results Clause Samples

Summary of Results. Collaborator will receive a summary of results of the study to the extent agreed upon in the SOW. Such summary shall be considered VA Confidential Information. Summary content, including any Individually Identifiable Information, is limited to what is permitted by the signed informed consent and HIPAA authorization document(s) of subjects, this CRADA, and by applicable confidentiality statutes and regulations.

Summary of Results. As to be expected for a mining company at our stage of development, our financial results for the six months to the 30 June 2019 show a loss for the period after taxation for Oracle Power PLC Group of Companies of £482,545 (2018: £458,871). At the period end, the Group had cash and cash equivalents of £37,066 (2018: £53,274), net current liabilities of £307,616 (2018: £146,480) and total assets less current liabilities of £5,165,924 (2018: £5,269,062). The basic loss per share was 0.04p (2018: loss 0.04p). The Company raised a further £500,000 post period end to boost its financial resources.

Summary of Results. CSWT’s investment in this project was sufficient to allow the drawing of con- clusions on the potential of the Event-B method: in particular, in the context of safety and mission critical systems engineering. Prior to this activity CSWT had not worked with formal methods but known successful applications of formal methods on real cases such as the Paris metro, A380 avionics and the UK National Air Traffic Services (NATS) - Interim Future Area Control Tool Support (iFACTS) set high ex- pectations. CSWT investment was carefully controlled and the model produced was relatively simple as shown in table 8.2. Notwithstanding this, the results achieved were encouraging and CSWT is already working on two additional projects where the Event-B method is being used. Metric Value Number of Axioms 8 Number of Events 13 Number of Invariants 14 Number of refinements 2 1 Cyber-physical systems are integrations of computing and physical mechanisms engineered to provide physical services including transportation, energy distribution, manufacturing, medical care and management of critical infrastructure ▇▇▇ ▇▇▇▇ ▇▇▇▇, ▇▇▇▇ ▇▇▇▇,▇▇▇▇▇ ▇▇▇▇▇▇▇▇ The experience of CSWT with formal methods showed that there are two main advantages to be gained: Requirements strengthening : ▇▇▇▇▇ and the automatic proof generation mech- anism highlight when there is a problem with the system requirements. Thinking about the problem in terms of sets and invariants pushes the system engineer to further think about the problem and the solution and to come up with a more complete set of requirements that can be verified using proof generation. Traceability between refinements : ▇▇▇▇▇ and the refinement mechanism facil- itate a breakdown of the system and guarantee the consistency and traceability between different levels of refinement. The fact that traceability between refine- ments is ensured by the tool is key to managing large scale models There are still a number of characteristics that are important for CSWT which have potential and which may be improved: Traceability between requirements and formal model: traceability between re- quirements specified in a natural language and the formal model (static and dynamic models) is done manually, CSWT believes this should be automated. There are several tools which provide mechanisms to ensure requirements spec- ified in tool A are synchronised with design models specified in tool B, and any changes in the requirements are flowed down to the design mode...

Summary of Results. This study of low-income patients receiving outpatient care at ▇▇▇▇▇ Hospital Primary Care Unit noted high overall prevalence of food insecurity (54.5%) and diabetes (50.3%) when measured as the combination of prediabetes (14.9%) and type 2 diabetes (36.8). Of concern is that those with prediabetes or type 2 diabetes had significantly higher prevalence of food insecurity (64%). Odds of diabetes was significantly higher among respondents screening positive for food insecurity [2.6 (95%CI 1.7-4.1)], even following adjustment for potential covariates; though, in stratified analyses the effect appeared much stronger in men [5.1 (95%CI 2.5-9.8)] compared to women [1.5 95%CI 0.8-2.8)]. The prevalence of food insecurity overall (54.5%) was consistent with, though higher, than the prevalence found in other studies with low-income Americans. For example, in a study using the National Survey of America’s Families (NSAF), ▇▇▇▇▇▇ et al noted a prevalence of 42.7% using the full 18-item tool (Kushel, Gupta, Gee, & ▇▇▇▇, 2006). Similarly, analyses of NHANES data noted a 10.2% of food insecurity among clinically documented type two diabetics (▇▇▇▇▇▇▇▇ et al., 2010). The higher prevalence of food insecurity compared to these other studies also reflects the general trends when comparing the national prevalence of food insecurity in the general population with prevalence of food insecurity in DeKalb and ▇▇▇▇▇▇ counties. In 2014, the national prevalence using the full USDA tool was 12.7% (ERS, 2015) and 20% in both DeKalb and ▇▇▇▇▇▇ Counties (GDPH, 2016). If DeKalb and ▇▇▇▇▇▇ County prevalences of food insecurity are 20%, and Grady serves many low-income residents of both counties, it is not surprising that the data from ▇▇▇▇▇’▇ Primary Care Center are higher than other studies focusing on national samples of low-income populations. The higher prevalence may also be due to the tool used in this study. Previous studies in low income populations have used the 2-item tool (▇▇▇▇▇▇▇▇ et al., 2012) while the surveys used to estimate national and county level prevalence utilize the full USDA tool (▇▇▇▇▇▇▇ ▇. ▇▇▇▇▇▇ et al.). Additionally, those classified as food insecure are likely only those who meet criteria for moderate or severe food insecurity as marginal food security is traditionally classified as food secure in USDA reporting schemes (USDA, 2014). More alarming than the prevalence of food insecurity is the high prevalence of food insecurity among diabetics (prediabetes and ...

Summary of Results. A total of 318 samples were submitted to ALS Chemex as checks on BSi analytical quality. At first glance the number of samples exceeding acceptable error limits is over the allotment given for failure rates (Figure 12-4). Figure 12-4 is a plot of sample variance, sorted by grade with higher grades (values in ppb) to the right. The red line is the 3000 ppb demarcation point, and the green line is the 150 ppb demarcation point. Samples below 150 ppb Au show extreme variations, which is understandable at such low concentrations. Samples between 1000 and 3000 ppb gold show more consistent variation, with the majority falling within a 20% error limit. In samples above 3 ppm the variations become much tighter, with the majority falling into the 10% error range. The reasons for the variance are the graph essentially compares AA finishes from BSi Inspectorate with gravimetric finishes from ALS Chemex. To truly check the validity of the check samples one must separate the data into two sets, and eliminate all samples below 150 ppb Au due to the inherent high variations generated at such low concentrations of gold.

Summary of Results. The operations of the Company have changed dramatically over the past year and therefore the results presented herein in this management’s discussion and analysis are not directly comparable. For the three and six months ended March 31, 2019, our results are only for Stem Holdings, Inc. and they comprise only real estate rental and general and administrative operations. At this time, the results of operations and financial position for the variable interest entities and affiliates we consolidated at our 2019 fiscal year end and ongoing into the 2nd quarter of fiscal 2020, were immaterial and therefore not included in the three and six months ended March 31, 2019. In the three and six months ended March 31, 2020, none of our results encompass real estate rental operations. The entirety of our operations now results directly from our cultivation, production and sale operations for cannabis and related products. In addition, we have in this period expanded beyond the state of Oregon, and in the three and six months ended March 31, 2020, our results include operations in the state of Oregon, California, and Nevada. Revenue $ 2,298 $ 354 $ 1,944 549% Net (loss) (4,775) (2,793 ) $ (1,982) 71% Basic and diliuted earnings (loss) per share (0.08) (0.18 ) The Company had revenues during the three months ended March 31, 2020 of $2,298 compared with $354 for the comparable period of 2019, the increase is primarily due to the acquisitions of both Yerba Buena and Seven Leaf and the consolidation of four related entities. Cost of goods for the three months ended March 31, 2020 amounted to approximately $1,573 compared to $0 in the comparable period of the prior year. These costs include both the cost of finished product purchased for retail and the cost of cultivation and processing for the grow facilities and sold at the wholesale level. In the three months ended March 31, 2020, we incurred consulting costs of $1,398 compared to $1,137 in the comparable period of the prior year. We expended those fees as we have yet to build up a significant employee base and currently outsource certain tasks to consultants. We expect in the upcoming year to increase our consulting fees as we continue to grow, even though we do expect to increase staffing, as we do not expect that growth will be commensurate with our growth from operations in the near term. In the three months ended March 31, 2020, we incurred professional fees of approximately $884 compared to $409 in the comparable pe...

Summary of Results. The results of my study indicate that teachers‘ perceptions of empowerment differ across grade level and according to AYP status of schools. The analysis revealed specifically, that elementary school teachers do report greater perceptions of opportunities for Decision Making and Self Efficacy than middle school teachers. Also, elementary school teachers in schools that met the AYP requirements have greater perceptions of Autonomy than teachers in schools that did not meet AYP. The analysis also indicates that not only do teachers report statistically significant differences in their perceptions of empowerment since implementation of the NCLB legislation, but more specifically, universally they report a decrease. This trend is supported by the qualitative data as the majority (80%) of the survey respondents reported factors contributing to decreased perceptions of empowerment. A small percentage (10%) did report increased perceptions of empowerment and 10% reported no change since implementation of NCLB. Whether the reported changes in empowerment were decreasing or increasing, the factors contributing to these changes center around four themes: (a) school climate, (b) standards requirements, (c) issues related to daily teaching responsibilities, and (d) affective experiences. Each of these findings will be discussed in the section that follows.

Summary of Results. In summary, we have found that the maximally supersymmetric higher derivative corrected La- grangian of the A4 BLG theory, to lowest nontrivial order in fermions, is L = LBLG + 1 STrn + 1 DµXI DµXJ DνXJ DνXI — 1 DµXI DµXI DνXJ DνXJ + 1 εµνλ XIJK DµXI Dν XJ DλXK + 1 XIJK XIJLDµXK DµXL — 1 XIJK XIJK DµXLDµXL

Summary of Results. Figure 12-3 shows is an x-y pair graph showing a 30% warning line from a baseline reference. Samples falling on the high line exceed the 30% acceptance limit and therefore have failed the protocol screen. Of the 171 samples only 5 fall above the line. This yields a failure rate of 1 in 20. Two of the five samples were determined to have had the bags switched, either at the rig by the sampler, or during the relabeling of the bags for insertion in the sample sequence. It has not been determined which has occurred. The other three samples are due to poor quality control at the rig, with a poor split as the likely cause. Results from the duplicate program indicate sampling procedures at the rig are sufficient to indicate proper representation of the rock sample is being sent for assay. Figure 12-3. Comparison of Duplicate Samples Taken at the Drill vs. A▇▇▇▇ ▇▇▇▇▇▇.