added user specific metrics

main.bib

@@ -2267,7 +2267,7 @@ Conclusion(s): Measuring urinary LH levels is an excellent method for determinin
 	month = mar,
 	year = {2014},
 	note = {arXiv:1312.4569 [cs]},
-	keywords = {Computer Science - Computer Vision and Pattern Recognition, Computer Science - Machine Learning, Computer Science - Neural and Evolutionary Computing},
+	keywords = {Computer Science - Machine Learning, Computer Science - Neural and Evolutionary Computing, Computer Science - Computer Vision and Pattern Recognition},
 	file = {Full Text PDF:/home/alex/Zotero/storage/IA52LNE8/Pham et al. - 2014 - Dropout improves Recurrent Neural Networks for Handwriting Recognition.pdf:application/pdf;Snapshot:/home/alex/Zotero/storage/LJ8EJ5PS/1312.html:text/html},
 }
 
@@ -2282,7 +2282,7 @@ Conclusion(s): Measuring urinary LH levels is an excellent method for determinin
 	journal = {IEEE Access},
 	author = {Wen, Xianyun and Li, Weibang},
 	year = {2023},
-	keywords = {attention mechanisms, Autoregressive processes, Data models, Decoding, encoder and decoder model, Forecasting, Logic gates, long short-term memory networks, Predictive models, Time series analysis, Time series forecasting},
+	keywords = {Predictive models, Time series analysis, Time series forecasting, attention mechanisms, Autoregressive processes, Data models, Decoding, encoder and decoder model, Forecasting, Logic gates, long short-term memory networks},
 	pages = {48322--48331},
 	file = {Full Text PDF:/home/alex/Zotero/storage/3M54PVSE/Wen and Li - 2023 - Time Series Prediction Based on LSTM-Attention-LSTM Model.pdf:application/pdf},
 }
@@ -2299,7 +2299,65 @@ Conclusion(s): Measuring urinary LH levels is an excellent method for determinin
 	month = apr,
 	year = {2018},
 	note = {arXiv:1706.02677 [cs]},
-	keywords = {Computer Science - Computer Vision and Pattern Recognition, Computer Science - Distributed, Parallel, and Cluster Computing, Computer Science - Machine Learning},
+	keywords = {Computer Science - Machine Learning, Computer Science - Distributed, Parallel, and Cluster Computing, Computer Science - Computer Vision and Pattern Recognition},
 	annote = {Comment: Tech report (v2: correct typos)},
 	file = {Full Text PDF:/home/alex/Zotero/storage/5MKPLWI7/Goyal et al. - 2018 - Accurate, Large Minibatch SGD Training ImageNet in 1 Hour.pdf:application/pdf;Snapshot:/home/alex/Zotero/storage/TRYJFLDW/1706.html:text/html},
 }
+
+@article{pearl_factors_1933,
+	title = {{FACTORS} {IN} {HUMAN} {FERTILITY} {AND} {THEIR} {STATISTICAL} {EVALUATION}},
+	volume = {222},
+	copyright = {https://www.elsevier.com/tdm/userlicense/1.0/},
+	issn = {01406736},
+	url = {https://linkinghub.elsevier.com/retrieve/pii/S0140673601186484},
+	doi = {10.1016/S0140-6736(01)18648-4},
+	language = {en},
+	number = {5741},
+	urldate = {2025-07-30},
+	journal = {The Lancet},
+	author = {Pearl, Raymond},
+	month = sep,
+	year = {1933},
+	pages = {607--611},
+}
+
+@article{gaskins_predictors_2018,
+	title = {Predictors of sexual intercourse frequency among couples trying to conceive},
+	volume = {15},
+	issn = {1743-6095},
+	url = {https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5882561/},
+	doi = {10.1016/j.jsxm.2018.02.005},
+	abstract = {Background
+Little is known about the predictors of sexual intercourse frequency (SIF) among couples trying to conceive despite the well-established link between SIF and fecundity.
+
+Aim
+To evaluate the male and female demographic, occupational, and lifestyle predictors of SIF among couples.
+
+Methods
+469 couples without a history of infertility participating in the Longitudinal Investigation of Fertility and the Environment Study (2005–2009) were followed for ≤1 year while trying to conceive. At enrollment, both partners were interviewed about demographic, occupational, lifestyle, and psychological characteristics using standardized questionnaires. Multivariable generalized linear mixed models with Poisson distribution was used to estimate the adjusted percent difference in SIF across exposure categories.
+
+Outcomes
+SIF was recorded in daily journals and summarized as average SIF per month.
+
+Results
+The median (interquartile range) SIF during follow-up was 6 (4–9) acts per month. For every year increase in female and male age, SIF decreased by −0.8\% (95\% CI −2.5, 1.0\%) and −1.7\% (95\% CI −3.1, −0.3\%). Women with high school education or less and those of non-White race had 34.4\% and 16.0\% higher SIF, respectively. A similar trend was seen for male education and race. Only couples where both partners (but not just one partner) worked rotating shifts had −39.1\% (95\% CI −61.0, −5.0\%) lower SIF compared to couples where neither partner worked rotating shifts. Male (but not female) exercise was associated with 13.2\% (95\% CI 1.7, 26.0\%) higher SIF. Diagnosis of a mood or anxiety disorder in the male (but not female) was associated with a 26.0\% (95\% CI −42.7, −4.4\%) lower SIF. Household income, smoking status, BMI, night work, alcohol intake, psychosocial stress were not associated with SIF.
+
+Clinical Implications
+Even among couples trying to conceive, there was substantial variation in SIF. Both partners’ age, education, race, and rotating shift work as well as male exercise and mental health play an important role in determining SIF.
+
+Strengths \& Limitations
+As this was a secondary analysis of an existing study, we lacked information on many pertinent psychological and relationship quality variables and the hormonal status of participants, which could have affected SIF. The unique population-based couple design, however, captured both partners’ demographics, occupational characteristics, lifestyle behaviors in advance of their daily, prospective reporting of SIF, which was a major strength.
+
+Conclusion
+Important predictors of SIF among couples attempting to conceive include male exercise and mental health and both partners’ age, education, race, and rotating shift work.},
+	number = {4},
+	urldate = {2025-07-30},
+	journal = {The journal of sexual medicine},
+	author = {Gaskins, Audrey J. and Sundaram, Rajeshwari and Buck Louis, Germaine M. and Chavarro, Jorge E.},
+	month = apr,
+	year = {2018},
+	pmid = {29523477},
+	pmcid = {PMC5882561},
+	pages = {519--528},
+	file = {Full Text PDF:/home/alex/Zotero/storage/S3JV4TU2/Gaskins et al. - 2018 - Predictors of sexual intercourse frequency among couples trying to conceive.pdf:application/pdf},
+}