Table 3. Appendix Information
Table 3. .2: Worked out example of calculating the monitoring quality score of a population for population trend Attribute Country Importance Quality (qij) Weight (wij) wij × qij T MA 2 1 30.0 30.0 T MR 3 2 75.0 150.0 T SN 1 2 2.5 5.0 T GW 1 3 2.5 7.5 T GN 1 3 2.5 7.5 T SL 1 3 2.5 7.5 Sums: 115.0 207.5 Weighted mean rounded to the nearest integer: 2.0
Table 3. Materials Design Pillar Timelines of Activities, Milestones, Metrics, and Anticipated Outcomes Goal 1.1: Selec Objectiv Objectiv Objective 1.1a tion of optimal hard e 1.1a: Design and e 1.1b: Characterize CCBSE RESmaterials as porou optimize nanoclay the scaffolds and EARCH GOALS: Materials Design Pillar s bone-mimetic scaffolds scaffolds demonstrate cancer cell growth Specific milestones Year 1 Year 2 Year 3 Year 4 Year 5 Responsible parties Activity 1: Prepare nanoclay scaffolds with amino acids for cancer cell growth Activity 2: Assist non-RU campuses involved in Activity 1 with compliance protocols Prepare scaffolds based on prior studies Assist with the initiation of conversations between non-RU faculty and RU campuses for the administration of necessary compliance protocols (IBC, MTAs) [Approved by NSF on 7/28/21] Optimize amino acid structure based on modeling, the loading amount, prepare two additional scaffolds, provide scaffolds to nanomaterials sub-group and Cellular Systems Pillar Ensure that all necessary compliance protocols are in place at the non- RU campuses [Approved by NSF on 7/28/21] Provide feedback to the Computational Approaches Pillar, optimize scaffold materials, provide the scaffolds for nanomaterials testing Ensure that all necessary compliance protocols are in place at the non- RU campuses [Approved by NSF on 7/28/21] Continue to prepare the optimized scaffold, provide them to Cellular Systems Pillar Ensure that all necessary compliance protocols are in place at the non-RU campuses [Approved by NSF on 7/28/21] Continue to prepare the optimized scaffold Ensure that all necessary compliance protocols are in place at the non-RU campuses [Approved by NSF on 7/28/21] Lead: X. Xxxxx, Co-lead: X. Xx, X. Xxx, (Computational Approaches Pillar liaison), New Hire at NDSU [Approved by NSF 9/8/21] Leads: X. Xxxxx, X. Xxxxx, X. Xxxxxx, X. Xxxx Objective 1.1b Specific milestones Year 1 Year 2 Year 3 Year 4 Year 5 Responsible parties Activity 1: Mechanical Continue with Optimize scaffold Continue to prepare Continue to prepare Lead: X. Xxxxx Characterize characterization, characterization, and cancer cell the optimized the optimized Co-lead: G. the scaffolds biocompatibility optimize cell growth conditions, scaffolds with scaffolds with cancer Xx, X. Xxx and culture of testing, spheroid growth, nanomechanics cancer cells and cells and patient- (Computational breast and nanomechanics, nanomechanics patient-derived derived samples Approaches pros...
Table 3. Applicable Preconstruction Survey and Notification Requirements based on Land Cover Types and Habitat Elements Identified in Table 2a. Species Preconstruction Survey and Notification Requirements None San Xxxxxxx kit xxx (p. 6-38) Western burrowing owl (p. 6-40) Giant garter snake (p. 6- 44) California tiger salamander (p. 6-46) (notification only) California red-legged frog (p. 6-47) (notification only) Covered shrimp species (p. 6-47) Xxxxxxxx’x big-eared bat (p. 6-37) Swainson’s hawk (p. 6- 42) Map all dens (>5 in. diameter) and determine status. Determine if breeding or xxxxxxx foxes are in the project area. Provide written preconstruction survey results to FWS within 5 working days after surveying. Map all xxxxxxx and determine status. Document use of habitat (e.g. breeding, foraging) in/near disturbance area (within 500 ft.) Delineate aquatic habitat up to 200 ft. from water’s edge. Document any sightings of garter snake. Provide written notification to USFWS and CDFG regarding timing of construction and likelihood of occurrence in the project area. Provide written notification to USFWS and CDFG regarding timing of construction and likelihood of occurrence in the project area. Document and evaluate use of all habitat features (e.g., vernal pools, rock outcrops). Document occurrences of covered shrimp. Determine if site is occupied or shows signs of recent occupation (guano). Determine whether nests are occupied. Golden eagle (p. 6-39) Determine whether nests are occupied. Note: Page numbers refer to the HCP/NCCP. Preconstruction Surveys as Required for Selected Covered Wildlife in Table 3 Describe the preconstruction survey’s or notification conditions applicable to any species checked in Table 3. All preconstruction surveys shall be conducted in accordance with the requirements set forth in Section 6.4.3, Species-Level Measures, and Table 6-1 of the HCP/NCCP. Preconstruction surveys will be required for San Xxxxxxx kit xxx, western burrowing owl, and covered shrimp species. Prior to any ground disturbance related to covered activities, a USFWS/CDFG‐approved biologist will conduct preconstruction surveys in areas identified in the planning survey as supporting suitable habitat for San Xxxxxxx kit fox, western burrowing owl and covered shrimp species. San Xxxxxxx kit xxx The preconstruction surveys will take place no more than 30 days prior to ground disturbance. On the parcel where the activity is proposed, the biologist will survey the proposed dist...
Table 3. Author Manuscript Author Manuscript Interobserver agreement for headache-related symptoms (n=191) Finding Number of evaluable patients (N)1 Number of patients for whom at least 1 assessor marked “unsure” Characteristic present per first assessor, n/N (%) Percent agreement (95% CI) κ (95% CI) Migraine symptoms2 Nausea 189 0 95/189 (50.3) 80.4 (74, 85.8) 0.61 (0.49, 0.72) Photophobia 189 0 101/189 (42.1) 75.1 (68.3, 81.1) 0.50 (0.37, 0.62) Phonophobia 189 0 90/189 (47.6) 75.1 (68.3, 81.1) 0.50 (0.38, 0.62) Abdominal pain 189 0 34/189 (18.0) 83.1 (76.9, 88.1) 0.43 (0.26, 0.59) Seeing abnormal patterns (e.g. spots or splotches, zig zag lines, flashes of light) 189 0 37/189 (19.6) 82.0 (75.8, 87.2) 0.43 (0.27, 0.59) Headache worsens with exertion 189 0 56/189 (29.6) 72.5 (65.5, 78.7) 0.31 (0.17, 0.46) Headache improves with rest 189 0 88/189 (46.6) 61.3 (54, 68.4) 0.22 (0.08, 0.36) Family history of migraine headaches 147 21 79/147 (53.7) 83.0 (75.9, 88.7) 0.66 (0.54, 0.78) Neurological symptoms Abnormal movements, non-seizure 189 0 12/189 (6.3) 91.5 (86.6, 95.1) 0.29 (0.04, 0.54) Seizures 189 0 4/189 (2.1) 97.9 (94.7, 99.4) 0.32 (−0.17, 0.81) Episodes of confusion 189 0 15/189 (7.9) 90.4 (85.4, 94.3) 0.26 (0.02, 0.50) Declining school performance 189 0 10/189 (5.3) 93.7 (89.2, 96.7) 0.37 (0.19, 0.65) Behavior, mood, or personality change 189 0 19/189(10.1) 86.2 (80.5, 90.8) 0.12 (0–0.08, 0.19) Hearing problems 189 0 4/189 (2.1) 94.2 (89.8, 97.1) −0.03 (−0.05, −0.01) Double vision 171 14 16/171 (9.4) 92.4 (87.4, 95.9) 0.51 (0.28, 0.74) Brief or transient (“a few seconds”) episodes of vision loss 180 7 16/180 (3.3) 92.8 (88, 96.1) 0.57 (0.35, 0.78) Focal motor weakness 189 0 19/189(10.1) 91.0 (86, 94.7) 0.37 (0.14, 0.60) Sensory changes 189 0 24/189 (12.7) 89.9 (84.7, 93.8) 0.52 (0.33, 0.71) Unsteadiness 175 10 43/175 (24.6) 79.4 (72.7, 85.2) 0.41 (0.25, 0.57) Other Neck pain 188 1 24/188 (12.8) 92.6 (87.8, 95.9) 0.67 (0.50, 0.83) Neck stiffness 187 0 6/187 (3.2) 96.7 (93.1, 98.8) −0.033 (−0.05, −0.01) Associated upper respiratory infection symptoms 189 0 41/189 (21.7) 83.6 (77.5, 88.6) 0.53 (0.38, 0.68) Author Manuscript Author Manuscript 1Patients remaining after removing those with “missing” or “unsure” response Author Manuscript Author Manuscript Author Manuscript Author Manuscript 2Interobserver agreement for the variable “vomiting” is described in Table 2.
Table 3. An example of matrix of received messages at the good nodes Ni, i = 1..5, at the end of Round 3. N6 and N7 are the Byzantine faulty nodes and N6 is the source node. 1 r r r 0 0 s r 0 2 r r r 0 0 s r r 3 r r r 0 0 s r 4 r r r 0 0 0 r 0 5 r r r 0 0 0 r 6 - - - - - s r r 7 - - - - - s r r Table 3 is an example of the matrix after Round 3 at Ni. We would like to point out that, unlike the Table 2 for the link-fault model, this matrix is the same at all good nodes except for the rows and columns corresponding to the faulty nodes; c6, c7, and r6, r7, respectively. A ‘-’ entry in the matrix means don’t care.
Table 3. Pairwise population FST values, averaged over all genes (lower diagonal), and associated p-values (upper diagonal). FB: False Bay; LM: Lake Mburo; LP: Limpopo; PE: Pemba; WA: Watamu; ZO: Zomba; *** p < 0.001 FB LP ZO PE WA LM FB - *** *** *** *** *** LP 0.03 - *** *** *** *** ZO 0.03 0.03 - *** *** *** PE 0.30 0.29 0.30 - *** *** WA 0.08 0.09 0.09 0.30 - *** LM 0.50 0.49 0.50 0.56 0.49 - measure as for AR. Again, LM shows the lowest diversity and is significantly different (p < 0.0001) from the other populations. WA and PE have slightly lower H values than FB, LP and ZO but these differences are very small and non-significant (Table 2). None of the populations FB, LP, ZO and WA have unique SNPs (SNPs that do not occur in other populations). In contrast, PE has 52 unique SNPs, while LM has the highest number with 69 unique SNPs (Table 2). Pairwise population differentiation We calculated average pairwise population FST values, from FST values for each gene based on the silent SNPs (Table 3). All pairwise FST values were significant (p < 0.001). Pairwise FST values are lower than 0.1 for any pairwise comparison within the populations FB, LP, ZO and WA. Comparisons between FB, LP and ZO give the smallest FST values (0.03), while WA shows slightly more differentiation from the first three populations (0.08-0.09). Pairwise FST values between PE and the other populations are relatively high. Differentiation between PE and the populations FB, LP, ZO and WA are very similar (0.29-0.30), while the pairwise FST value between PE and LM is the highest of all comparisons (0.56). LM shows the most population differentiation with similar FST values for all pairwise comparisons (between 0.49 and 0.56). Candidate genes Table 4 (Appendix) gives the total sequenced length in base pairs (bp), the number of synonymous and non-synonymous SNPs and the ratio of synonymous and non- synonymous SNPs per 100 bp for each candidate gene. Sequenced lengths of genes varied between 200 and 1,645 bp, with an average of 774 bp. On average, there was 1 SNP for every 38 bp, corresponding to 2.6 bp per 100 bp. The majority of the identified SNPs were synonymous: we found nearly 20-fold as many synonymous SNPs as non- synonymous SNPs. Based on our SNP selection criteria (see Materials and Methods), further analyses of evidence of selection was focused on 14 replacement SNPs in 11 genes: Treh, UGPase, TAGLipase, Vg, Hsp23, Hsp83, black, en, light, yellow, and wg (Table 5).
Table 3. 68.1 Rostered Time of Ordinary Duty Penalty Rate Ordinary duty performed on a shift (Monday–Friday) any part of which falls between 6.00 pm and 6.30 am 15% Ordinary duty performed on Saturday 50% Ordinary duty performed on Sunday 100% Ordinary duty performed on a public holiday (or the weekday immediately following the day observed as the Boxing Day public holiday) 150% Further information is contained in the Department’s Shiftwork, Fixed Daily Hours and Commuted Penalties Policy. COMMUTED PENALTY PAYMENTS
Table 3. Alpha values using the MASI distance metric for Mikrokosmos concept annotations on each document set. For each dataset, the worst annotator was eliminated. Agreement values in Table 1 are almost always .5 or above, which means that annotator responses are halfway between chance and perfect agreement or better. The number in parentheses after the reliability score for the first of each translation pair indicates the difference in reliability between different translations of the same Table 4. Alpha values using the MASI distance metric for theta role annotations on each document set. For each dataset, the worst annotator was eliminated. Other possible sources of difference between the document set reliability scores would likely depend on differences in the semantic complexity of the concepts expressed, or to differences in the translation quality. In Figure 1, for example, we can see that the first translation is a less fluent sentence of English: the repetition of the NP “the growth rate” is somewhat awkward, and the word “less” would have been more correct instead of “lesser.” This could potentially affect the annotators certainty about the meaning. However, it is difficult to imagine how to control for either of these conditions, apart from conducting a very large scale study. We computed separate reliability scores for the four parts of speech that were annotated: noun, verb, adj and adverb. In general, the reliability scores by part of speech were distributed very similarly to the full set, with nouns having somewhat higher reliability on average (mean=.60). Verbs, however, had much lower scores. For example, the mean reliability for verbs across the 12 document sets was .46. A t-test shows this is a significant difference from the group mean (p=.5). source documents. Given that translations are semantically very close, it is surprising to see such large deltas for the first phase of the project (Arabic, Korean). This delta almost disappears for all subsequent pairs of translations. We speculate that during the first phase of the project, annotators were still learning the task, the ontology, and the GUI. Another difference one can see in Table 1 is that reliability scores seem to increase over time, apart from Tables 2 and 3 present reliability scores for Mikrokosmos concepts and theta roles. As shown, they are much lower than for the WordNet concepts. This seems to be due to a much higher rate where no selection was made. Overall, annotators made no...
Table 3. Outcome of treatment presented for patients with severe hemophilia and moderate hemophilia 1972 1978 1985 1992 2001 Severe hemophilia 159 245 384 387 420 hemorrhages (nr.per year)* children ( 0-16 yrs) 20 (0-98) 20 (0-70) 10 (0-65) 10 (0-98) 5 (0-51) adolescents ( 17-25 yrs) 20 (0-98) 17 (0-100) 10 (0-90) 10 (0-98) 6 (0-75) adult (above 25 yrs) 14 (0-97) 15 (0-100) 10 (0-90) 10 (0-82) 7 (0-75) hospital admissions* duration of stay (days/patient) 28 (2-252) 20 (1-180) 11 (1-100) 5 (0-330) 7 (0-89) absenteeism due to hemophilia* school (days)† 30 (0-80) 15 (0-80) 4 (0-80) 2,5 (0-80) 7 (0-90) work (days)‡ 15 (0-80) 20 (0-213) 7 (0-319) 8 (0-330) 5 (0-365) Moderate hemophilia hemorrhages (nr. per year) children ( 0-16 yrs) 4 (0-40) 10 (0-104) 3 (0-66) 7 (33) 2 (0-57) adult (above 25 yrs) 4 (0-50) 5 (0-100) 2 (0-40) 3 (0-52) 1 (0-71) hospital admissions duration of stay (days/patient) 17 (2-180) 10 (1-50) 7 (1-50) 5 (0-72) 6 (0-31) absenteeism due to hemophilia school (days) 30 (0-80) 5(0-80) 3 (0-50) 0 (0-15) 5 (0-20) work (days) 2 (0-80) 13 (0-130) 7 (0-319) 5 (0-365) 3 (0-120) Values presented are medians (range) or percentages *Reported for the year previous to the questionnaire †Due to hemophilia in patients following full time day education ‡Total absence in employed people between 15 and 64 yrs One or more hospital admissions during the year preceding the survey decreased from 51% of patients with severe hemophilia in 1972 to 22% in 2001, which still clearly exceeded the rate of hospitalization in the general Dutch male population, which was 5% in 2000. The median duration of stay in the hospital of patients with severe hemophilia decreased from 28 in 1972 to 7 days (range, 0-89 days) in 2001, which was similar to the figure for the general Dutch male population. Seventy percent of the admissions were directly related to hemophilia (e.g. hemorrhage or orthopedic surgery). Moderate and mild hemophilia also led to hospitalizations in excess of the rate in the population: in both patient populations 15% had to be admitted in 2001. Orthopedic surgery was a frequent indication for hospitalization, which occurred in 26% (n=107) of patients with severe hemophilia, in 17% of patients with moderate hemophilia and in 13% of patients with mild hemophilia in a 5-year period preceding the survey. In patients with mild hemophilia, 50% of orthopedic surgery was related to hemophilia, for patients with moderate and severe hemophilia this was 76% and 92%, respectively. I...
