507 research outputs found

    Automatic Prostate Cancer Grading Using Deep Architectures

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    Prostate cancer is the second most aggressive type of cancer among men aged over 45, and it has a major effect on people's lives. Early diagnosis and grading of prostate cancer from tissue images is necessary. Large scale inter observer reproducibility exists in grading the prostate biopsies. This leads us to move towards a computer based model that can accurately detect and grade the cancerous prostate from non-cancerous one. The paper is focused on deep learning based models to automatically grade the prostate cancer from tissue microarray images. Deep learning models directly learn the features via convolutional layers. Two datasets have been used for implementation of our proposed model, Harvard dataset and Gleason Challenge 2019. Our proposed UNET based architecture is used for training as well as validation and testing. We used four different deep learning models, VGG19, ResNet50, Mobilenetv2 and ResNext50 for our UNET based encoder. With our proposed framework, we have achieved 0.728 and 0.732 average Cohen's kappa with F1 on both datasets respectively. The results show that our proposed UNET based deep learning model shows better performance as compared to other state of the art models

    Remittances and Poverty Linkages in Pakistan: Evidence and Some Suggestions for Further Analysis

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    Global remittances experienced a dramatic increase over the years, particularly since 1990 wherein the developing world emerged to be the major beneficiary accounting for 60 percent of the total amount. Because of the sheer volume, and magnitude of the remittances, and pre-eminence of these flows compared to the FDIs, development assistance and in some cases the trade related transactions, the development practitioners tended to focus and investigate the importance of remittances which are generally regarded as a dependable source for growth, improved welfare and poverty alleviation in the developing world. Given the fact that remittances flows entail wide ranging ramifications both for sending as well as receiving countries, difficult to be generalised, hence empirical evidence has been mounted though lack of consensus is visible.

    Contribution of Services Sector in the Economy of Pakistan

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    The services sector has provided steady support to Pakistan’s economic growth. It share in GDP now stands a more than 50 percent. The paper analyses its continuation in the growth of the economy in general and the development of trade and genera tion of employment in particular. The study identifies the bottlenecks in its growth and suggest measures to remove them. A set of policy reforms has been suggested to make the sector more effective in the growth of the national economy.Services Sector, Industry, Employment, Financial Institutions and Pakistan’s Economy

    Poverty Dynamics of Female-headed Households in Pakistan: Evidence from PIHS 2000-01 and PSLM 2004-05

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    The paper attempts to empirically test a naïve version of what is rather stylistically termed as “feminisation of poverty”, using the sub-sample of female -headed households (FHHs) from two household surveys in Pakistan. Although, the database is constrained by quality factors and small sample size, the following findings add to the richness of current research in this area: (a) The numerical incidence of poverty among households headed by females is less than that for all households in the country, at the national, urban and rural level for both the years. This can be traced to the finding that more than 70 percent of households headed by females receive remittances, (b) The incidence of poverty among FHHs during the period 2000-01 to 2004-05 did not decline as fast as it did for mixed households, nationwide. In urban areas, it did not decline at all, (c) Among the determinants of poverty of FHHs, illiteracy, dependency and rural residence exacerbate poverty, while remittances domestic and/ or foreign reduce poverty, (d) The dynamics of incidence of poverty among FHHs during the period indicated that Illiteracy as the factor exacerbating poverty became less important in 2004-05. Moreover, residence in rural areas was also a weaker factor in determining the incidence of poverty. By far the most notable contribution in reducing the incidence of poverty was self-employment in agriculture in 2004-05.

    Hydraulic simulations to evaluate and predict design and operation of the Chashma Right Bank Canal

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    Irrigation systems / Irrigation canals / Flow control / Velocity / Canal regulation techniques / Hydraulics / Simulation models / Design / Operations / Crop-based irrigation / Distributary canals / Water delivery / Policy / Protective irrigation / Water allocation / Water requirements / Sedimentation / Water distribution / Equity / Water conveyance / Pakistan / Chashma Right Bank Canal

    Estimating the Middle Class in Pakistan

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    The concept ‘middle class’ is one of the most commonly used terms in the social sciences, including economics, sociology and political science. Despite its frequent use there is, however, no consensus on what the term exactly implies and its meaning remains ambiguous depending primarily on the context in which it is used. It is viewed as the class that is between, and separates, the lower and the upper classes, that is the rich and the poor, but there is no agreement on the exact boundaries that separates them. Most of the definitions and measurements of the middle class continue to be somewhat arbitrary and vague.

    Synthesis and characterization of efficient Sr-doped ZnO nanostructures for optoelectronic, and photocatalytic applications

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    Available online 15 February 2024With increasing technological advancements, optoelectronics emergence is inevitable. Various metal oxides are explored for optoelectronics properties and Zinc oxide-based nanostructures have various advantages that can be explored in optoelectronic devices. Nanomaterials that are undoped and Strontium doped were synthesized via a simple wet chemistry route. The study set out to quantify the impact of Strontium doping in Zinc Oxide on optical and photocatalytic properties. The doping of strontium concentration within ZnO varied from 0 % to 3 % by weight of the total molar ratio. The characterization of SZO nanomaterials was done using measurements of Xray diffraction, Raman Spectroscopy, SEM, Hall effect measurements, UV/Vis, and PL regarding their structural properties, morphological properties, optical properties, and electrical characteristics. X-ray diffraction analysis showed that the Sr-doped ZnO had the hexagonal wurtzite structure of zinc oxide. SEM showed that the morphology of Sr-doped ZnO thin films changed by increasing Sr concentration. Meanwhile, the film’s surface was smooth and crack-free. In UV–Vis experiments, the concentration of Sr doping reduced the optical band gap ranges from 3.27 eV to 2.98 eV. All the samples exhibited n-type conductivity in the Hall Effect. Photocatalytic degradation Methylene Blue was studied and SZO (3 at. %) was best for degradation with efficiency over 80 %.Alqa Saeeda Javaid, Wajeeha Saeeda Javaid, Muhammad Adnan, Muhammad Usman, Muhammad Aftab Akram, Najma Bashir, Awais Khalid, Pervaiz Ahmad, Mousa M. Hossin, Iram Liaqat, Mohamed A. Ismail, Hanna Dib, Natasha Arsha

    The Reflection of Islamic Culture and Beliefs in the Stories of Dr. Akram Osman

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    The sacred religion of Islam encompasses its own distinct principles, laws, and worldview, as presented through the Holy Quran, a divine guide for humanity. This guidance shapes the beliefs, actions, and morals of Muslims according to an Islamic perspective. Islam is a comprehensive and complete religion that addresses all aspects of individual, familial, social, economic, political, and cultural life. It provides everything necessary for human guidance and prosperity, as conveyed to humanity by Prophet Muhammad (PBUH), the savior of mankind, who is the final prophet, and Islam is the ultimate and final religion. In Islamic societies, the responsibility of promoting and conveying Islamic teachings was not limited to religious scholars alone. Muslim poets and writers also undertake this significant mission, using their literary talents in both poetry and prose to inspire individuals and societies with the values and teachings of this sacred religion. The late Dr. Mohammad Akram Osman, a distinguished author from Afghanistan, made remarkable contributions to storytelling that not only enriched the world of literature but also served as a guide for humanity in learning and understanding Islamic culture and beliefs. This article aims to explore the reflection of Islamic culture and beliefs in the stories of Dr. Mohammad Akram Osman, highlighting his ability to intertwine Islamic teachings with literary expression

    بیسویں صدی کا پنجابی زبان و ادب اور ڈاکٹر فقیر محمد فقیر

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    Dr. Faqir Muhammad Faqir is a 20th century renowned poet, author, researcher, critic, historian and above all, a lover of Punjabi language. He rendered valuable services to Punjabi language by compiling classical Punjabi literature along producing new prose and verse. He was given the title of "Father of Punjabi Language" and "The Omer Khayyam of the Punjab" by the literary circles. This article covers his literary contributions to Punjabi language and literature besides determining his status in 20th century Punjabi literati.
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