A Binary Logistic Analysis of the Working Status of Mothers and Impact on the Health and Education of Their Children

The present study investigates the impact of working status of the mothers on the health and education of their children. The results are based on observations obtained by the working women. The factors which were found significant in playing their role are joint family system, supportive husband, teaching children by themselves, using different sources to teach the children, allowing children to play outside, taunting the children, taking care of the health of their children by taking care of different factors, providing the proper medical and educational facilities, providing the proper time to them, attending the parents teacher meeting, checking the class work of the children regularly, keeping proper check on the children and the mental stress to them

Modeling the Role of Maternal Care in the Educational and Health Development of the Children

Mothers play different roles in their family which has an effect on  health and well being of all members of the family specially on children. Almost in all different societies around the world, they have been assigned to be primary care-givers to infants and children. The present study investigates the relationship of maternal care and its effects on the educational performance and health of children in Pakistan from a statistical perspective. The modeling and significance has been established by measures of association and automated linear regression

Al MAWARDI’S THEORETICAL FRAMEWORK OF THE HOLY PROPHETIC ADMINISTRATIVE AND GEOGRAPHICAL ENTITIES

The role of governors in international politics has been a subject of debate and political theories since the birth of political entities. The modern governor is a leader who leads the people and manages regional affairs. The Islamic polity was developed by the Holy Prophet (SAW), and later on was further consolidated by Khulafa e Rashideen. Governors were not only governors but also administrators, taxation officials, judges, and managers. The power delegated to governors by the central authority was tight, and they were held accountable. Governors violating precedents, set laws, or codes of conduct were punished. The most important tasks included theological leadership and military recruitment, including fiscal issues. Piety was the first requisite for a provincial Amir or Wali to continue working on the same post. Appointments made by the Holy Prophet (SAW) provided detailed guidelines for the coming generations, clarifying the functions and authorities of provincial governors. This research paper aims to analyze different dimensions and various aspects of administration during the Prophetic era

Domestic Violence against Women: Statistical Analysis and Legislative Solutions

Violence against women contains many facets and beating wives is one of the most prevalent in Pakistan. The issue has been justified on state and private social level based upon religious and social arguments. Women empowerment and equal protection before law is guaranteed on both constitutional and legislative levels but effective implementation of these laws to gain equal living standards to wives is still a far cry. This paper aims to study the issue at different levels. It will define the domain of issue by statistical analysis based upon data provided by United Nation Global Data Base on violence against women and will probe into factors hindering the enforcement of state aspirations to protect women from violence at family level

Domestic Violence against Women: Statistical Analysis and Legislative Solutions

Violence against women contains many facets and beating wives is one of the most prevalent in Pakistan. The issue has been justified on state and private social level based upon religious and social arguments. Women empowerment and equal protection before law is guaranteed on both constitutional and legislative levels but effective implementation of these laws to gain equal living standards to wives is still a far cry. This paper aims to study the issue at different levels. It will define the domain of issue by statistical analysis based upon data provided by United Nation Global Data Base on violence against women and will probe into factors hindering the enforcement of state aspirations to protect women from violence at family level

Pengaruh Sosialisasi dan Simulasi terhadap Kesiapsiagaan dalam Menghadapi Bencana Alam Gempa Bumi pada Masyarakat Desa Keurisi Meunasah Lueng Jangka Buya Pidie Jaya

Indonesia adalah negara maritim yang terletak pada titik temu 3 lempeng utama bumi yaitu Lempeng Pasifik, Lempeng Eurasia, Lempeng Samudra Hindia-Australia yang mengakibatkan Indonesia mengalami banyak kejadian bencana alam seperti gempa bumi. BPS menyebutkan di Indonesia terjadi sebanyak 10.570 kali gempa pada tahun 2021. Pidie Jaya merupakan salah satu kota di Indonesia yang berada di provinsi Aceh yang menjadi daerah rawan bencana gempa bumi karena letak geologinya pada sesar Samalanga Sipopok. Pada 7 Desember 2016 gempa  dengan kekuatan besar yaitu  6,5 Mw terjadi di Pidie Jaya yang mengakibatkan 1.079 korban jiwa dengan 104 orang meninggal dan kerugian mencapai 1,854 triliun. Dalam hal ini sosialisasi dan simulasi dapat menjadi faktor penting yang bertujuan untuk meningkatkan kesiapsiagaan bencana. Tujuan Penelitian Mengetahui pengaruh sosialisasi dan simulasi terhadap kesiapsiagaan dalam menghadapi bencana alam gempa bumi pada masyarakat desa Keurisi Meunasah Lueng, Jangka Buya, Pidie Jaya. Metode Metode Penelitian ini merupakan eksperimental jenis quasi-eksperimental dengan responden berjumlah 72 orang yang diambil dengan menggunakan purposive sampling. Hasil Penelitian menunjukan bahwa sebelum sosialisasi dan simulasi mayoritas masyarakat berada dikategori sedang (62,5%) sedangkan setelah penyuluhan, mayoritas masyarakat berada dikategori tinggi (86,1%). Data analisis menggunakan uji statistik t-dependent. Hasil analisis statistik menunjukan nilai p = 0,001. Kesimpulan Terdapat pengaruh signifikan sosialisasi dan simulasi terhadap kesiapsiagaan dalam menghadapi bencana alam gempa bumi pada masyarakat Desa Keurisi Meunasah Lueng, Jangka Buya, Pidie Jaya

Modeling and Performance Analysis of Plug-In Split Hybrid Electric Vehicle

Regarding increasing of concern over the environment and ever stringent emissions regulations, the electric vehicle has been investigated as an alternative form of transportation. However, the electric vehicle suffers from relatively short range and long charging times and consequently has not become an acceptable solution to the automotive consumer. The addition of an internal combustion engine to extend the range of the electric vehicle is one method of exploiting the high efficiency and lack of emissions of the electric vehicle while retaining the range and convenient refuelling times of a conventional gasoline powered vehicle. The term that describes this type of vehicle is a hybrid electric vehicle. Many configurations of hybrid electric vehicles have been designed and implemented, namely the series, parallel and power-split configurations. This project discusses the modelling and simulation of split plug-in hybrid electric vehicles. Modelling methods such as physics-based Resistive Companion Form technique and Bond Graph method are presented with powertrain component and system modelling examples. The modelling and simulation capability of existing tools such as ADvanced VehIcle SimulatOR (ADVISOR) is demonstrated through application examples. Since power electronics is indispensable in hybrid vehicles, the issue of numerical oscillations in dynamic simulations involving power electronics is briefly addressed

Growth and Ionic Composition of Buttonwood (Conocarpus erectus L.) in Response to Soil Salinity and Water Stress

Salinity and bad quality irrigation water is very common problem in Pakistan due to limited rainfall, more evapo-transpiration and high temperature. So, there is need to select salt and drought tolerant plants. In view of that a pot experiment was conducted to study the growth performance and ionic composition of Conocarpus erectus L. under saline and water stress conditions. Eight treatments (Control, 10 dSm-1, 20 dSm-1, 40 dSm-1,  water stress, 10 dSm-1 + water stress, 20 dSm-1 + water stress, 40 dSm-1 + water stress) were evaluated in order to assess their effect on plant growth and ionic composition . At T8 (40 dSm-1 + water stress), plants did not survive. The data regarding growth parameters and physiological were recorded at different stages of plant growth. Plant ionic parameters including Na+, K+ were determined in stem, leaves and root after harvesting. The data were analyzed statistically. It is concluded that Conocarpus erectus L. can tolerate salinity up to 40dSm-1 with full water but at salinity and water stress level of 40 dSm-1 + water stress, there was no survival of even a single plant. Keywords: Growth, potassium status, buttonwood (Conocarpus erectus L.), soil salinity, water stres

Table Structure Extraction with Bi-directional Gated Recurrent Unit Networks

Tables present summarized and structured information to the reader, which makes table structure extraction an important part of document understanding applications. However, table structure identification is a hard problem not only because of the large variation in the table layouts and styles, but also owing to the variations in the page layouts and the noise contamination levels. A lot of research has been done to identify table structure, most of which is based on applying heuristics with the aid of optical character recognition (OCR) to hand pick layout features of the tables. These methods fail to generalize well because of the variations in the table layouts and the errors generated by OCR. In this paper, we have proposed a robust deep learning based approach to extract rows and columns from a detected table in document images with a high precision. In the proposed solution, the table images are first pre-processed and then fed to a bi-directional Recurrent Neural Network with Gated Recurrent Units (GRU) followed by a fully-connected layer with soft max activation. The network scans the images from top-to-bottom as well as left-to-right and classifies each input as either a row-separator or a column-separator. We have benchmarked our system on publicly available UNLV as well as ICDAR 2013 datasets on which it outperformed the state-of-the-art table structure extraction systems by a significant margin.Comment: Proceedings of the 15th International Conference on Document Analysis and Recognition (ICDAR) 2019, Sydney, Australi

Efficient Circular Repeated Measurements Designs Nearly Strongly Balanced for Carryover Effects

Repeated measurements designs (RMDs) are always economical but with the use of these designs, there may arise carryover effects. Minimal strongly balanced RMDs are well known to estimate the treatment effects and carryover effects independently. Where these minimal designs cannot be constructed, minimal nearly strongly balanced RMDs are used to balance the carryover effects. In this article, efficient circular nearly strongly balanced RMDs are constructed in periods of two and three different sizes with the smallest of size four