88. Al-Ghashiyah/The Overpowering Event
I/We begin by the Blessed Name of Allah
The Immensely Merciful to all, The Infinitely Compassionate to everyone.
88:01
a. Has the news of coming of the Overpowering Event reached you?
88:02
a. It will be the Time when some faces will be downcast with fear and shame -
88:03
a. having labored in the world only to weariness - with no payback in the Hereafter.
88:04
a. They will enter the Blazing Fire.
88:05
a. They will be made to drink from a boiling spring of extremely high temperatures.
88:06
a. They will have no food other than bitter dry thorns/cactus -
88:07
a. neither nourishing them nor appeasing their hunger.
88:08
a. While, at the same Time, some faces will be blessed,
88:09
a. pleased with their striving for righteousness during the worldly life,
88:10
a. dwelling in Paradise on high,
88:11
a. wherein they shall never hear any absurdity or frivolous talk,
88:12
a. therein will be flowing spring of fresh sweet water,
732 Surah 88 * Al-Ghashiyah
88:13
a. and couches raised high,
88:14
a. and cups set in place,
88:15
a. and cushions lined up behind them,
88:16
a. and rich carpets spread out beneath them.
88:17
a. Will they - who deny the Resurrection - not observe how the camels are created,
88:18
a. and the celestial realm -
b. how it was formed and raised...
Today the big challenge for NEWS organization to well organize the news and well categorize the news in automatically no need the data entry people to enter and select the category and then based on the category and its sub-category they will be manually selected and enter the details and then after this the analysis will later on used for different aspects. The news is almost every second used in different sources of media in soft and hard. We use the both sources of the Pakistan News in dual languages English and Urdu both and process them and prepare them for machine learning and based on the Machine learning trained data we build a very effective and efficient model that can predict the title category of the news and category of description of the news. We use different machine learning algorithms and different features extraction finally we build the model using the machine learning algorithm with 89% accuracy with logistic regression.
The study aims to explore the factors that affect women entrepreneurs of Pakistan and to measure the relationship and effect of women entrepreneurial factors on women entrepreneur business performance in Pakistan. The study was descriptive and co-relational in nature. The universe of the study was registered women entrepreneurs of Women Chamber of Commerce & Industry Peshawar, Women Business Development Center Peshawar and non-registered entrepreneurs working at diverse cities of KP, Pakistan. Data collection instrument was questionnaire (5-point Scale). Total 540 questionnaires were distributed among registered and unregistered women entrepreneurs of KP, Pakistan.After data collection from respondents, data was analyzed by using SPSS, AMOS and Liseral software’s. Researcher analyzed the data via descriptive statistics; factor analysis, structure equation model and multiple linear regression model. Findings of the study reveals that there exists significant positive relationship amid women entrepreneurial factors i.e. social factors, economic factors, individual factors, political factors and entrepreneur performance. Factor analysis reveals the exceptionality of the constructs and the questionnaire was found valid for data collection. The collected data was tabulated and found normal, with no multicollinearity, heteroskedasticity and auto-correlation in it. Social factor, economic factor, individual factor, political factor was found a significant constructive predictors of women entrepreneurs performance. There exists an insignificant difference between the responses of women entrepreneur performance about the registered and unregistered women entrepreneurs of KPK, Pakistan. Study recommended that government should focus on the creation and promotion of women entrepreneurship culture b) removal of socio-cultural obstacles prevailing in the society, c) nurturing entrepreneurial culture and environment, d) provision for the women entrepreneurial education opportunities, e) developing friendly and supportive environment infrastructure for women entrepreneurs, and f) forming women entrepreneurs associates. Implication of the study is for the development and promotion of women entrepreneurial culture in Pakistan. Women entrepreneurs become more aware of the importance of social, economic, individual and political factors and its influence on women entrepreneurs performance.