Database error: Invalid SQL: select count(id) from pwn_comment where pid='85897' and iffb='1'
MySQL Error: 1194 (Table 'pwn_comment' is marked as crashed and should be repaired)
#0 dbbase_sql->halt(Invalid SQL: select count(id) from pwn_comment where pid='85897' and iffb='1') called at [D:\wwwroot\s154\wwwroot\includes\db.inc.php:55] #1 dbbase_sql->query(select count(id) from {P}_comment where pid='85897' and iffb='1') called at [D:\wwwroot\s154\wwwroot\comment\module\CommentContent.php:65] #2 CommentContent() called at [D:\wwwroot\s154\wwwroot\includes\common.inc.php:524] #3 PrintPage() called at [D:\wwwroot\s154\wwwroot\comment\html\index.php:13] Database error: Invalid SQL: select * from pwn_comment where pid='85897' and iffb='1' order by id limit 0,10
MySQL Error: 1194 (Table 'pwn_comment' is marked as crashed and should be repaired)
#0 dbbase_sql->halt(Invalid SQL: select * from pwn_comment where pid='85897' and iffb='1' order by id limit 0,10) called at [D:\wwwroot\s154\wwwroot\includes\db.inc.php:55] #1 dbbase_sql->query(select * from {P}_comment where pid='85897' and iffb='1' order by id limit 0,10) called at [D:\wwwroot\s154\wwwroot\comment\module\CommentContent.php:167] #2 CommentContent() called at [D:\wwwroot\s154\wwwroot\includes\common.inc.php:524] #3 PrintPage() called at [D:\wwwroot\s154\wwwroot\comment\html\index.php:13] 网友点评--家居饰品商城|苏州大宗商品交易中心毛
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发布于:2017-10-12 11:15:13  访问:49 次 回复: 篇
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Fort. Changes in (a) the proportions of category 1 individuals within the
Parameter estimates in (a) are from Model 2. Light grey, dark grey and black coding correspond to time periods of low, escalating and decreasing fishing work. doi:10.1371/journal.pone.0060353.gzdftestM:ITECzdftestM:LTEC{GOF was tested with the program U-CARE 2.5 [43].Model PerformanceTo assess model performance we compared the observed counts of breeding pairs with model-based estimates of the number of breeding pairs obtained from a matrix population model [44]. The deterministic matrix population model was formulated as for the closely related Amsterdam albatross Diomedea amsterdamensis [45]. Briefly, this pre-breeding census model consists of five juvenile ageclasses, one pre-breeding stage-class and four stage-classes according to breeding status (corresponding to the FB, SB, PFB and PSB states). The model parameters were the recruitment probability, adult survival probabilities, transition buy LEE011 probabilities between states, breeding success for first-time breeders, and juvenile survival. Recruitment probability and juvenile survival were estimated from multistate capture-recapture data following [46]. Briefly, we used a multistate model with two states: one immature state and one adult state starting at first reproduction for all those individual ringed as chicks. Our starting model wasincluded heterogeneity in proportions and survival, but not on other parameters. Several constraints were made j.cub.2015.05.021 to ensure that the model reflected the LCQ-908 life-cycle of wandering albatross and did not contain redundant parameters [37]. Encounter and state determination probabilities were time-dependent, and survival probability, breeding probability and success probability were time-independent. Thus our initial model was denoted as (phzs sh bs cs pt dt ) s s where the subscript h refers to heterogeneity in the proportion of newly encountered individuals (denoted p and thereafter called initial proportion) and survival (denoted s) probabilities, subscriptDifferential Susceptibility to BycatchTable 2. Modeling the effect of heterogeneity and time on survival and initial proportions of two categories newly encountered individuals for males and females wandering albatross at Possession Island.Model Males ph:s sh (1) pT sh (2) h:s (3) pT s(4) h:s Females ph:s sh (1) pT sh (2) h:s (3) pT s(4) h:sHypothesis on sHypothesis on pdevrankAICdefheterogeneity heterogeneity heterogeneity no heterogeneityheterogeneity heterogeneity and linear trend heterogeneity and quadratic trend heterogeneity and linear trend38880 38819 38810190 194 19839268 39214 392140 0 0heterogeneity heterogeneity heterogeneity no heterogeneityheterogeneity heterogeneity and linear trend heterogeneity and quadratic trend heterogeneity and linear trend35301 35282 35288190 194 19835688 35677 356930 0 0The candidate models vary in the presence/absence of heterogeneity dar.12119 on survival (s) and of temporal trends on survival and proportions (p). For all models breeding and success probabilities were state dependent and constant, and encounter and state assignment probabilities were state and time-dependent. For each model the deviance (dev), rank, AI.Fort. Changes in (a) the proportions of category 1 individuals within the population of wandering albatrosses from Possession Island amongst 1960 and 2010, as a function of longline fishing effort south of 30uS in the Indian Ocean; and (b) the annual estimated longline fishing effort south of 30uS inside the Indian Ocean for the Japanese and Taiwanese fisheries combined. Parameter estimates in (a) are from Model 2. Light grey, dark grey and black coding correspond to time periods of low, escalating and decreasing fishing work.
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