29 research outputs found

    إسهام الشيخ أصغر علي الروحي في الرثاء: دراسة تحليلية

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    Asghar Ali Roohi is commonly known for his services and involvement in the field of Arabic Litrature. He made huge literary contribution by merging Arabic language in his works along with numerous kinds of literature. He is an author of several books written on many topics of Islamic sciences and poetry like Hamd, Naat and Elegy (Martia). This article predominately delivers contribution of Asghar Ali Roohi, a prestifious person of Pakistan, his life and services particularly Arabic Elegy writing. He wrote elegy about Khwaja Muhammad Ghous Chishti, Qazi Hameed ud Din Lahori, his teachers and friends

    Alauddin Usmendi’s Authority in The Khanafi Mashab Over The His Book Bazlu an-Nazar

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    Elinizdeki bu tez, H. 552 yılında vefat eden usûlcü ve münâzaracı âlim Muhammed b. Abdilhamid el-Usmendî’ye ait “Bezlü’n-nazar fi’l-usûl” adlı önemli eserin ve müellifinin, Mısırlı Zeki Abdilberr ve Ahmed Ferid el-Mezidî gibi alimlerin tahkikleri haricinde, hak ettiği ilmî değerin verilmeden akademik camiada meçhul bırakılması, araştırmacıyı bu bağlamda müellifin hayat hikayesi, eserindeki usûl ile ilgili meselelerin ele alınışı, eserin ilmî değeri gibi konuları ihtilafa girmeden kısaca araştırmaya itmiştir. Usmendî kendi eserini münazara, cedel, kelam ilmi çerçevesinde kaleme almıştır. Bu da kendisinin fıkıh, fıkıh usulü, Arap dili grameri, kelam ve cedel ilimlerinde mahir olduğunu ve aklî-naklî delilleri yerinde ve ustaca kullandığını göstermektedir. Bununla beraber muhalif görüşü savunanların delillerini de zikrederek, aslında münakaşa ettikten sonra onlara verdiği cevaplar da, esasında onun alana hakim olduğunu ortaya koymaktadır. Bezlü’n-nazar fi’l-usûl eseri üzerinde duracak olursak, eserde birçok usûl konuları kısa bir şekilde ele alınmış, müellif tarafından bu konular ana iki kısımda kategorize edilmiştir. Birinci kısım da kendi içinde bölüm ve baplara ayrılarak, temelde usûl kitaplarındaki hakikat-mecaz, emir-nehiy, umum-husus, mutlak-mukayyed, mücmel-mübeyyen, haber, icma, nesih, istihsan, istishab, sahabe kavli, şer‘u man kablena, Kur’ân, sünnet, icma, kıyas gibi konuları kabul edenler ve etmeyenlerin delilleri ile beraber ele alınmıştır. İkinci kısımda ise usûl ilgili spesifik konular incelenmiş, kitabın ağırlıklı bölümünü oluşturan bu kısımda ise konularla ilgili görüşler delilleri ile beraber tartışılmış, müellif tarafından münazara ve cedel ilmi çerçevesinde detaylıca ele alınmış, bütün bu konular araştırmacı tarafından detaylıca incelenerek önemli sonuç ve bulgulara ulaşılmıştır.This thesis written on the Muhammad b. Abdulhamed al-Usmandi who died in 552 in Hidjra and his book “Bazlu al-Nazar fi al-Usûl”. Al-Usmandi had to authority in the science of munazara and jadal. There isn’t any working on this book expect Muhammad Zaki Abdulbarr and Ahmad Farid az-Mazidi form Egypt. Therefore this situation forced the research to write on the life of author, and his book’s contents, and his ideas on the subject in usul, and his book’s scientific value in the brefly anywise. Al-Usmandi writed his book as a analyzer from the perspective of munazara, jadal and kalam. His this method shoved to us his authority in the Islamic Law, and Islamic Law Methodology, and Arabic Language Grammar, and Kalam and Munazara. He was master of the using of evidences in the aqli and nakli sciences. Also we can analyze his authority in the dispute of the opposition supporter’s evidences. Bazlu al-Nazar fi al-Usul includes more subjects related with Islamic Law Methodology in the shortly anywise and categorized in the two basic parts by author. Also the first part categorized in itself to the kitabs and babs. In this part discussed the subjects that talked in the Islamic Law Methodology books like; haqiqat-majaz, amr-nahy, umum-husus, mutlaq-muqayyad, mujmal-mubayyan, nash, Quran, sunnah, ijma, kıyas, istihsan, istishab, kawlu as-sahaba, sharu man kablena. And in the second part discussed more spesific subjects, and these subjects discussed by author from the perspecrive munazara and jadal science in detal. All these subjects research by searcher and acquired so meaningful findins and results.

    Primary teachers’ perceived knowledge of hearing impairment and curriculum adaptations: the mediating role of institutional support for the inclusion of students with hearing impairments

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    Abstract An estimated nine million people in Pakistan have some form of hearing loss. Of these, less than 5% out of 1 million deaf children currently attend school [WHO Citation2018. “Addressing the Rising Prevalence of Hearing Loss”]. This study aimed to measure in-service teacher’s perceived knowledge and practice for curriculum adaptation with the mediating role of institutional support in claimed inclusive primary schools registered with the Punjab Welfare Trust for the Disabled (PWTD). A survey was conducted from in-service teachers (n = 200) in primary inclusive schools of Punjab (Pakistan). Descriptive statistics have revealed that on average teachers lack the knowledge of social, cognitive, and emotional development of children with hearing impairment. They also lack the knowledge and practice for the adaptation of content, instruction, and assessment for hearing impairment learners. The structural equation model (SEM) has shown direct relation of the knowledge of manifestations of hearing impairments with curriculum adaptations. SEM has also shown the mediating role of institutional support between knowledge of the different aspects of hearing impairments and different components of curriculum adaptations. This study would be useful for inclusive education institutions to train their teachers and develop practical guidelines to support the inclusion of children with hearing impairment.Abstract An estimated nine million people in Pakistan have some form of hearing loss. Of these, less than 5% out of 1 million deaf children currently attend school [WHO Citation2018. “Addressing the Rising Prevalence of Hearing Loss”]. This study aimed to measure in-service teacher’s perceived knowledge and practice for curriculum adaptation with the mediating role of institutional support in claimed inclusive primary schools registered with the Punjab Welfare Trust for the Disabled (PWTD). A survey was conducted from in-service teachers (n = 200) in primary inclusive schools of Punjab (Pakistan). Descriptive statistics have revealed that on average teachers lack the knowledge of social, cognitive, and emotional development of children with hearing impairment. They also lack the knowledge and practice for the adaptation of content, instruction, and assessment for hearing impairment learners. The structural equation model (SEM) has shown direct relation of the knowledge of manifestations of hearing impairments with curriculum adaptations. SEM has also shown the mediating role of institutional support between knowledge of the different aspects of hearing impairments and different components of curriculum adaptations. This study would be useful for inclusive education institutions to train their teachers and develop practical guidelines to support the inclusion of children with hearing impairment

    Self-congruence facets and emotional brand attachment: The role of product involvement and product type

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    Consumers have emotional bond with the brands that are closer to their self-concept. The product involvement is consumers' perception of relevance of a product with needs, goals and consumers' self-concept. Therefore, the study aims to reconsider the role of product involvement in the association of self-congruence facets and emotional brand attachment. Furthermore, the study investigates the association of self-congruence facets and emotional brand attachment depending upon product type. The study followed a mixed method research approach and involved a focus group study and a survey. Hypotheses testing (through AMOS and Process Macro) indicated that ideal self-congruence yielded substantial influence on product involvement and emotional brand attachment. Whereas, ideal self-congruence direct effect on emotional brand attachment turned out to be insignificant in presence of mediator. Furthermore, the effect of product involvement on emotional brand attachment significantly depends upon product type. The conditional indirect effect of self-congruence facets was stronger for hedonic brands as compared to utilitarian brands. The study contributes to marketing literature by discovering product involvement as processing mechanism between the debate of self-congruence facets and emotional brand attachment. The study is first in nature to investigate the moderating role of product type in the relationship and exploring conditional indirect on emotional brand attachment

    Impact of High and Growing Public Debt on Economic Growth in SAARC Countries: An Econometric Analysis

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    Developing countries of South Asia are continuously facing problems in managing and servicing their huge public debt obligations. This high level of public indebtedness has serious implications on countries economic development. However, their economic performance continues to deteriorate due to significant outflow of resources to meet their debt obligations. The study designs to examine the structure of public debt its implications on economic growth in of SAARC economies of Bangladesh, India, Pakistan and Sri Lanka. For this purpose the penal data of selected countries for the period of 1990-2018 has been used. From the literature several factors through which public indebtedness effect economic growth have been identified: public debt to GDP ratio, debt servicing as a ratio of export earnings, net foreign financing as a ratio of total deficits, private and public investment as ratio of GDP. Besides these variables some policy, fundamental and shock variables like inflation, exchange rate, terms of trade and population growth. For analysis of data the econometrics techniques like Fixed Effect Model, Hausman Test and PMG/ PanelARDL approach have been applied to analyze the long run association among theregressors. The results of the study reveal that public debt negatively affected the economic performance both in short period and long period. The study concludes that presently, simultaneous achievement of desirable level of economic growth and public debt stock seems to be difficult and could remain elusive if some serious measures are not taken

    WaveSeg-UNet model for overlapped nuclei segmentation from multi-organ histopathology images

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    Nuclei segmentation is a challenging task in histopathology images. It is challenging due to the small size of objects, low contrast, touching boundaries, and complex structure of nuclei. Their segmentation and counting play an important role in cancer identification and its grading. In this study, WaveSeg-UNet, a lightweight model, is introduced to segment cancerous nuclei having touching boundaries. Residual blocks are used for feature extraction. Only one feature extractor block is used in each level of the encoder and decoder. Normally, images degrade quality and lose important information during down-sampling. To overcome this loss, discrete wavelet transform (DWT) alongside max-pooling is used in the down-sampling process. Inverse DWT is used to regenerate original images during up-sampling. In the bottleneck of the proposed model, atrous spatial channel pyramid pooling (ASCPP) is used to extract effective high-level features. The ASCPP is the modified pyramid pooling having atrous layers to increase the area of the receptive field. Spatial and channel-based attention are used to focus on the location and class of the identified objects. Finally, watershed transform is used as a post processing technique to identify and refine touching boundaries of nuclei. Nuclei are identified and counted to facilitate pathologists. The same domain of transfer learning is used to retrain the model for domain adaptability. Results of the proposed model are compared with state-of-the-art models, and it outperformed the existing studies.© 2024 The Author(s). CAAI Transactions on Intelligence Technology published by John Wiley & Sons Ltd on behalf of The Institution of Engineering and Technology and Chongqing University of Technology. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.fi=vertaisarvioitu|en=peerReviewed

    Leveraging deep learning and big data to enhance computing curriculum for industry-relevant skills: A Norwegian case study

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    Computer science graduates face a massive gap between industry-relevant skills and those learned at school. Industry practitioners often counter a huge challenge when moving from academics to industry, requiring a completely different set of skills and knowledge. It is essential to fill the gap between the industry's required skills and those taught at varsities. In this study, we leverage deep learning and big data to propose a framework that maps the required skills with those acquired by computing graduates. Based on the mapping, we recommend enhancing the computing curriculum to match the industry-relevant skills. Our proposed framework consists of four layers: data, embedding, mapping, and a curriculum enhancement layer. Based on the recommendations from the mapping module, we made revisions and modifications to the computing curricula. Finally, we perform a case study of the Norwegian IT jobs market, where we make recommendations for data science and software engineering-related jobs. We argue that by using our proposed methodology and analysis, a significant enhancement in the computing curriculum is possible to help increase employability, student satisfaction, and smart decision-making. © 2023 The Author

    Stylistic Analysis of Ahmed Ali’s Short Story Our Lane

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    The undertaken study is based on stylistic analysis of Ahmed Ali’s short story Our Lane. The study analyzes how the author has used linguistic features like noun, adjective, conjunction, sentence complexity to portray the social, political, economic, religious, psychological and cultural conditions of the colonized natives of the Indian subcontinent in the wake of the British colonial rule. The story portrays how the colonial rule has deteriorated the people socially, economically, politically and psychologically. Ahmed Ali’s use of adjective is in consonant with the established norm of using 7 to 8% of the total text (Hofland & Johansson, 1987:6). Whereas, the median of 343 sentences is 13, which is shorter than the length of an average modern sentence, which according to Ellegard is 17.8 words. While rebutting colonial narrative, he deviates from the standards of English language: excessive use of coordinating conjunction ‘and’ is evidence to it. Most adjectives of positive characteristics qualify to the past, whereas the adjectives referring to present are either of negative or of neutral characteristics, and thus the writer recognizes the glory of the past and condemns the disintegrating present and uncertain future in the colonized land

    AGI-P: A Gender Identification Framework for Authorship Analysis Using Customized Fine-Tuning of Multilingual Language Model

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    In this investigation, we propose a solution for the author’s gender identification task called AGI-P. This task has several real-world applications across different fields, such as marketing and advertising, forensic linguistics, sociology, recommendation systems, language processing, historical analysis, education, and language learning. We created a new dataset to evaluate our proposed method. The dataset is balanced in terms of gender using a random sampling method and consists of 1944 samples in total. We use accuracy as an evaluation measure and compare the performance of the proposed solution (AGI-P) against state-of-the-art machine learning classifiers and fine-tuned pre-trained multilingual language models such as DistilBERT, mBERT, XLM-RoBERTa, and Multilingual DEBERTa. In this regard, we also propose a customized fine-tuning strategy that improves the accuracy of the pre-trained language models for the author gender identification task. Our extensive experimental studies reveal that our solution (AGI-P) outperforms the well-known machine learning classifiers and fine-tuned pre-trained multilingual language models with an accuracy level of 92.03%. Moreover, the pre-trained multilingual language models, fine-tuned with the proposed customized strategy, outperform the fine-tuned pre-trained language models using an out-of-the-box fine-tuning strategy. The codebase and corpus can be accessed on our GitHub page at: https://github.com/mumairhassan/AGI-

    Investigating the potential of multiwalled carbon nanotubes based zinc nanocomposite as a recognition interface towards plant pathogen detection

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    The emergence of nanotechnology has opened new horizons for constructing efficient recognition interfaces. This is the first report where the potential of a multiwalled carbon nanotube based zinc nanocomposite (MWCNTs-Zn NPs) investigated for the detection of an agricultural pathogen i.e. Chili leaf curl betasatellite (ChLCB). Atomic force microscope analyses revealed the presence of multiwalled carbon nanotubes (MWCNTs) having a diameter of 50-100 nm with zinc nanoparticles (Zn-NPs) of 25-500 nm. In this system, these bunches of Zn-NPs anchored along the whole lengths of MWCNTs were used for the immobilization of probe DNA strands. The electrochemical performance of DNA biosensor was assessed in the absence and presence of the complementary DNA during cyclic and differential pulse voltammetry scans. Target binding events occurring on the interface surface patterned with single-stranded DNA was quantitatively translated into electrochemical signals due to hybridization process. In the presence of complementary target DNA, as the result of duplex formation, there was a decrease in the peak current from 1.89 x 10(-04) to 5.84 x 10(-05) A. The specificity of this electrochemical DNA biosensor was found to be three times as compared to non-complementary DNA. This material structuring technique can be extended to design interfaces for the recognition of the other plant viruses and biomolecules.International Foundation for Science (IFS), Sweden; Organization of Islamic Cooperation's (OIC) Standing Committee on Scientific and Technological Cooperation (COMSTECH) [E-5659]SCI(E)ARTICLE130-13624
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