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Empirical Assessment for the Domestic Worker Housing: A Case Study of Lahore 家政工人住房的实证评价:以拉合尔市为例
Pub Date : 2022-06-30 DOI: 10.33411/ijist/2022040308
Haroon Gulzar, Taimoor Hassan
A house is considered a basic human need. It provides identity, security, belonging, and privacy. Regrettably, Pakistan is facing a housing backlog of almost 10 million units. This research aims to diagnose the problems related to accommodation that domestic workers are facing and to assess the pragmatic options for housing the labor class groups. Data for this research was collected from the residents, domestic workers, and relevant authorities through a structured questionnaire survey in selected case study areas. The dependent variable in the study is the provision of accommodation to the domestic workers, which needs to be calculated. The predictors or independent variables are affordability of domestic workers’ residence, salary, housing provision, financial status, and role of government. The results reveal that when “provision of housing allowance” to the domestic workers will help in overcoming the problem of housing available to the workers Its value goes up by 1, “provision of residence to domestic workers at nearby places” increases by 0.518 Similarly, “provision of nearby residence increases the work efficiency” goes up to 1, “provision of residence to domestic workers at nearby places” goes up by the value 0.118.Analysis revealed that workers’ work efficiency depends upon, Government and financial support from the people. The findings of the study/research analysis revealed that most domestic workers are being deprived of livable housing and have to bear significant travel expenses to reach their workplaces. There is a dire need to form a government-based strong association for the domestic worker which would work for the betterment of domestic workers to improve their quality of life. The government and private developers should increase the supply of low-income housing in the form of vertical growth development. It can be pertinent to propose that housing opportunities have to be placed close to the vicinity of workplaces to reduce the travel cost bear by domestic workers.
房子被认为是人类的基本需求。它提供身份、安全、归属和隐私。令人遗憾的是,巴基斯坦正面临着近1000万套住房的积压。本研究旨在诊断家庭佣工所面临的住宿问题,并评估劳工阶级群体住房的务实选择。本研究资料采自个案研究区域内的居民、家庭佣工及相关当局,采用结构化问卷调查方式。本研究的因变量是为家庭佣工提供住宿,需要计算。预测因子或自变量为家庭佣工的居住负担能力、工资、住房供应、经济状况和政府角色。结果显示,当“提供房屋津贴”有助解决佣工的住房问题时,“提供就近住所”的数值上升1,“提供就近住所”的数值上升0.518;同理,“提供就近住所可提高工作效率”的数值上升1,“提供就近住所”的数值上升0.118。分析表明,工人的工作效率取决于政府和人民的财政支持。这项研究/研究分析的结果显示,大多数家庭佣工被剥夺了可居住的住房,并且必须承担大量的旅费才能到达工作地点。迫切需要成立一个以政府为基础的强有力的家庭佣工协会,为改善家庭佣工的生活质量而努力。政府和私人开发商应以垂直增长开发的形式增加保障性住房的供应。可以恰当地建议,住房机会必须安置在靠近工作场所的地方,以减少家庭工人承担的旅费。
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引用次数: 0
The Impact of Language Syntax on the Complexity of Programs: A Case Study of Java and Python 语言语法对程序复杂性的影响:以Java和Python为例
Pub Date : 2022-06-30 DOI: 10.33411/ijist/2022040310
Kashif Munawar, M. Naveed
Programming is the cornerstone of computer science, yet it is difficult to learn and program. The syntax of a programming language is particularly challenging to comprehend, which makes learning arduous and affects the program's testability. There is currently no literature that definitively gives quantitative evidence about the effect of programming language complex syntax. The main purpose of this article was to examine the effects of programming syntax on the complexity of their source programs. During the study, 298 algorithms were selected and their implementations in Java and Python were analyzed with the cyclomatic complexity matrix. The results of the study show that Python's syntax is less complex than Java's, and thus coding in Python is more comprehensive and less difficult than Java coding. The Mann-Whitney U test was performed on the results of a statistical analysis that showed a significant difference between Java and Python, indicating that the syntax of a programming language has a major impact on program complexity. The novelty of this article lies in the formulation of new knowledge and study patterns that can be used primarily to compare and analyze other programming languages.
编程是计算机科学的基石,但它很难学习和编程。编程语言的语法尤其难以理解,这使得学习变得困难,并影响程序的可测试性。目前还没有文献明确地给出关于编程语言复杂语法影响的定量证据。本文的主要目的是研究编程语法对源程序复杂性的影响。在研究过程中,选择了298种算法,并使用圈复杂度矩阵分析了它们在Java和Python中的实现。研究结果表明,Python的语法没有Java复杂,因此用Python编码比Java编码更全面,更容易。Mann-Whitney U测试是在统计分析结果上执行的,该结果显示Java和Python之间存在显著差异,表明编程语言的语法对程序复杂性有重大影响。本文的新颖之处在于提出了新的知识和学习模式,主要用于比较和分析其他编程语言。
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引用次数: 1
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Vol 4 Issue 3
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