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Faltu Larki
2016 Pakistani TV series or programme
Faltu Larki (Urdu: فالتو لڑکی, lit. 'Useless Girl') is a Pakistani family drama television series, produced by Tariq Mujeeb. The series airs weekly on A-Plus Entertainment every Thursday. It stars Hina Dilpazeer, Anum Fayyaz, Samiya Mumtaz, Dania Enwer and Jinaan Hussain in lead roles.[1]
The series was comeback of Quddusi Sahab Ki Bewah duo, writer Fasih Bari Khan and director Mazhar Moin which also stars Dilpazeer in title role.[2]
Synopsis
[edit]Faltu Larki tackles the story of a girl who travels from India to Pakistan to live with her family but encounters difficulty. She has to go through a lot of issues in the household and has no say in the state of affairs. The play also takes into account the lives of other female characters involved who also become victim of society’s double standards and its ill treatment of women.
The play points out that women are not given their due rights and are taken for granted quite often. However, it remains to be seen just how the title applies to the lives of these women and whether Faltu Larki aims to change society’s perception of women.[3]
Plot
[edit]The plot revolves around a middle-class household from Karachi of two b
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Abstract
Background
Depression is a prevalent mental health challenge. Current depression assessment methods using self-reported and clinician-administered questionnaires have limitations. Instrumenting smartphones to passively and continuously collect moment-by-moment data sets to quantify human behaviors has the potential to augment current depression assessment methods for early diagnosis, scalable, and longitudinal monitoring of depression.
Objective
The objective of this study was to investigate the feasibility of predicting depression with human behaviors quantified from smartphone data sets, and to identify behaviors that can influence depression.
Methods
Smartphone data sets and self-reported 8-item Patient Health Questionnaire (PHQ-8) depression assessments were collected from 629 participants in an exploratory longitudinal study over an average of 22.1 days (SD 17.90; range 8-86). We quantified 22 regularity, entropy, and SD behavioral markers from the smartphone data. We explored the relationship between the behavioral features and depression using correlation and bivariate linear mixed models (LMMs). We leveraged 5 supervised machine learning (ML) algorithms with hyperparameter optimization, nested cross-validation, and imbalanced data handling to predict dep
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