Each trait is separated into one of four categories based on mental, physical, social, or lifestyle aspects of Sims' lives. For example, social traits may include dislikes children or friendly, while lifestyle traits would consist of technophobe or daredevil. Traits are used to allow Sims a greater complexity in their daily routines over the points system. The more traits a Sim has, the more complex they will be, as a Sim with more personality traits will exhibit a wider range of behaviors than a Sim with only one.
The Sims 4 More Traits Modl
Sims can attain traits in multiple ways. Ordinarily the player will assign a maximum of five traits to a young adult or older Sim in the Create a Sim screen under the "Personality" section. Traits can also be inherited via genetics from either parent, with babies and toddlers having two traits. If the toddler grows up well, the player will be able to choose a third trait for when the Sim becomes a child, and likewise a fourth when the Sim becomes a teen and finally a fifth trait when the Sim becomes a young adult. Furthermore, the lifetime reward "Midlife Crisis" allows the player to re-choose a Sim's traits.
Traits also grant Sims different abilities or specific actions which only Sims having those traits can do. Insane Sims are able to use the command "Talk to Self" to boost their own social motive, while vegetarian Sims are able to cook vegetarian alternatives to meals containing meat (though in Showtime, all Sims are able to cook these meals, regardless of traits). Some traits can grant Sims special moodlets, with loner Sims enjoying their solitude or hydrophobic Sims fearing swimming in the pool. Other traits allow Sims a greater affinity for certain tasks, such as angler Sims being more adept at fishing while genius Sims tend to learn more quickly. In this respect, the customization that players can give to Sims via the trait system can make the game more or less challenging while offering a greater deal of variety than was possible with the personality point system used in the game's predecessors.
Sims are born with two traits, and gain an additional trait on aging up from toddler to child, from child to teen, and from teen to young adult. Therefore, a fully-grown Sim has five traits. With University Life, it is possible to earn two additional traits, for a total of seven traits. The trait panel will still show only five traits, but when a Sim has more than five, a scroll bar will appear next to the traits.
The Active skill pairs well with this as well, as it just further boosts the fitness skill building time. A Sim with both of these traits will be Energized more often, which improves performance at Athletic career jobs, as well as at the gym. Not to mention, they'll feel an instant connection with fellow Bros.
Product: The Sims 4Platform:PCWhich language are you playing the game in? EnglishHow often does the bug occur? Often (50% - 99%)What is your current game version number? 1.50.67.1020What expansions, game packs, and stuff packs do you have installed? Expansions: S, GF, CD, CL, GTW Game Packs: OR, DO, V, PH, JA Stuff Packs: LSP, PPSP, CKSP, RGSP, KSPS, BYSP, VGSP, BNSP, FSP, LDSP, MFPSPSteps: How can we find the bug ourselves? Start a new save and have a Sim with 12 or more traits.What happens when the bug occurs? I have a Sim with 13 traits (4 original, 2 completed aspiration, 6 reward traits and now one death trait as he is a ghost, but it should have triggered before that as I had the other 12 first) and the "The Most Interesting Sim in the World" Achievement won't unlock. I have used some cheats, but none at all related to getting the traits. I have another save where it triggered normally, so I don't know what is wrong with this one. (I got it in that save before I bought a number of the game and stuff packs I have now, but I don't remember which ones).What do you expect to see? The achievement unlocked.Have you installed any customization with the game, e.g. Custom Content or Mods? Never used.Did this issue appear after a specific patch or change you made to your system? Neutral/Not Sure
Something to add. I've been playing with a different family on the same save and a few of them also had 12 or more traits by the time I was done with them without triggering it. Then, last night, I moved that family in with my original sim through manage households. I went in to play and as soon as the house loaded with the combined family, the achievement triggered. So I have no idea what is going on there, but I have the achievement now??? I don't know if moving the original out and back in would have done it because until that point I hadn't moved any of them after having 12 traits (but in the first save where it worked I had never moved her).
SEM models have also been applied in association studies in both multi-trait and multi-locus designs. For example, the GW-SEM method has been developed to test the association of a SNP with multiple phenotypes through a latent construct [34]. In comparison with the existing multi-trait single-locus GWAS software package GEMMA (Zhou and Stephens 2014), GW-SEM provides more accurate estimates of associations; however, GEMMA is almost three times faster than GW-SEM. Another SEM-based model which can be used in association studies has been proposed for multi-trait QTL mapping [35]. This method assumes that phenotypes are causally related forming a core structure without latent constructs, and QTLs play the role of exogenous variable to the structure. This approach allows the model to decompose QTL effects into direct, indirect, and total effects. However, the assumption of causally related traits is limiting because the correlation between traits can additionally be caused by pleiotropy rather than the direct influence of traits on each other. Therefore, the current SEM-based models for genotype-phenotype associations can be improved to address these drawbacks.
We first added SNPs influencing the latent factors to obtain both the connected and zero base models. The number of SNPs in the connected base models constructed for 20 training sets varied from 52 to 62; for zero base models, this number was in the range from 36 to 46. The larger number of SNPs in connected models as compared with zero models can be explained by the essential difference between SNPs attributed to these model types. In connected base models, some SNPs are associated with several latent factors and therefore affect a larger number of phenotypic traits than in zero models. Therefore, in connected models, SNPs describe a more complex variance-covariance structure and, as a result, a larger number of SNPs is required to estimate it.
GWAS often relies on data with a number of highly correlated phenotypic traits. Due to these correlations, significant SNPs are frequently associated with several phenotypes, i.e., they are pleiotropic. Until recently, multi-trait multi-locus models could neither distinguish SNP effects between pleiotropic and single-trait ones nor analyze a large number of traits and variants. In a SEM-based model, aggregation of pleiotropic effects into latent constructs makes it possible to distinguish SNP effects and, therefore, shed more light on mechanisms underlying associations. Large numbers of SNPs and traits in the model can lead to a parameter identification problem that, nevertheless, can be solved by applying Bayesian approach for parameter estimation.
After the accuracy of trait prediction was assessed, it became evident that among base models, connected ones describe the covariance structure of the data more accurately and, therefore, showed better predictive ability than the zero models. Therefore, one may conclude that joining latent factors into a structure was reasonable as all phenotypes are mutually dependent and cannot be considered as isolated blocks of traits.
Genomics, phenomics, and analytics technologies are powerful tools to boost breeding progress [7, 8]. Jointly, they allow genomic prediction to capitalize on the genotype-phenotype relationships at the whole-genome level. Genomic prediction and selection have been implemented in many crops to accelerate the breeding process in public and private breeding programs [9,10,11]. Although genomic prediction has successfully increased genetic gain in numerous programs [12, 13], it may be possible to develop new crop varieties more effectively and reach greater genetic gains with emerging technologies. The effect of selection on multiple traits simultaneously, incorporation of omics data, and application of machine learning algorithms on the efficiency of genomic prediction has not been fully elucidated.
Selecting individuals that are higher yielding, resistant to stress and disease, or otherwise more attractive is of extreme consequence in plant breeding and has been since the first farmers began the process of plant domestication [14]. One significant change during modern maize breeding was the creation of phenotypes suited for growing in a diverse set of agronomic environments, including adaptation to high planting density [15]. Plant breeders are usually interested in improving multiple traits, but breeding for two or more traits simultaneously is generally more difficult than breeding for a single trait [16]. Three basic procedures for carrying out multi-trait selection have been described: tandem selection, independent culling levels, and index selection. Index selection is expected to be more efficient than tandem selection, independent culling levels [17] (Additional file 1: Fig. S1). A base index has been utilized in genomic prediction for selecting individuals on an array of genomic-predicted values for multiple traits; however, the desired selection index must be created for each specific population and breeding goal. Progress has also been made on multivariate genomic selection [18, 19] and crop growth models [20, 21]; these methods dissect yield into traits measured at high throughput and at an early stage to achieve selection accuracy and logistical efficiency. However, genomic prediction can be advanced by shifting the focus from single traits to the identification of individual plants that come closest to an ideotype, or target variety, which combines merits from multiple traits. 2ff7e9595c
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