139 research outputs found
Folio
No full textZahoor Hussain Chohan-Editorial; Riaz Hussain-Article-Muhammad (SAW) and the People of India and Pakistan. pp. 7-11; Ahsan Waseem-Poetry-The Land of the Pious. pp. 11; Sultan Khan-Article-Quaid as a Political Philosopher. pp. 12-14; Aniza Zaheer-Article-Building-Up the National Fiber. pp. 15-19; Muhammad Tanvir-Essay-Importance of Discipline. pp. 19-20; Hameed Nizamee, Edited by Saleem Mansur Khalid-Article-Iqbal and his Urdu Poetry a General Survey Based on his Urdu Works. pp. 21-33; Amjad Ali Bhatti-Essay-The Prophet's Message to the Muslims. pp. 34-36; Arif Qureshi-Poetry-Salute to the Quaid. pp. 36; Tahir Kamran-Essay-Rise of Muslim History Writing. pp. 37-39; Muhammad Ahsan Pasha-Essay-Where do we Stand. pp. 40-42; Irshad-ul-Hasan-Poetry-The Walls of Glass. pp. 43-44; Rubina Nazir Chohan-Poetry-Gift. pp. 44; Sohail Ahmad Sharyar-Essay-What Is Literature. pp. 45-47; Muhammad Ahsan Pasha-Poetry-A Funny Commentary on Chaucer. pp. 47-48; Irshad-ul-Hasan-Article-Symbolism. pp. 49-61; Gilani Kamran-Essay-Discovering Folklore. pp. 62-64; Mohammad Tanvir Butt-Essay-Father of the Nation. pp. 65-67; Tariq Hameed Rathore-Poetry-Pleasant Manner. pp. 68; Syed Saadat Mehdi-The Days at College. pp. 68-69; Muhammad Akmal-Three Narrations. pp. 69-70; Wasif Rashid-Friendship & Friends. pp. 71; Ateeq-ur-Rahman-May You Have. pp. 71; Ali Awais-Quotes. pp. 72; Hammad Raza-Definitions. pp. 72; Akhlaque Ahmad-Mind and its Problems. pp. 73-74; Kamran Mahboob-Notice for the Students. pp. 75; Sana-ur-Rahman-Article-Emancipation of Women. pp. 76-80; Dalip Kumar Rajpoot-Best Use of Youth. pp. 80; Akhtar Ali Khan-Essay-Way to Economic Progress. pp. 81-82; Zia-ul-Haq-Essay-The World First Democracy. pp. 82-83; Zahor Hussain Chohan-On the Eve of Retirement. pp. 84; Folio [Urdu]. 272 p.College Buildings. after English title; Quaid-e-Azam. after contents; Allama Iqbal. 1 page after contents; Dr Shaukat Ali, Principal. 2 pages after contents; Prof Talat Mahmood. 3 pages after contents; Students Union 1988-1989. after page 84; Editorial Board 1988-89. after editorial Urdu pag
Adaptive Swin Transformer V2-Tiny Based Model for Classification of Bacteria, Fungus, Virus, and Healthy Fruit and Leaf Images
No full textThe classification of fruits and leaves affected by bacteria, viruses, and fungi has made significant progress in the fields of artificial intelligence and image processing. However, most methods focus on particular categories of fruit and leaf diseases, but not on both fruit and leaf diseases caused by bacteria, viruses, and fungi. This study aimed to develop a model for the classification of the initial, intermediate, and final stages of bacterial, viral, and fungal diseases, irrespective of fruit and leaf types. To achieve this goal, inspired by the accomplishments of the Swin Transformer, the Swin Transformer V2-Tiny was explored for the classification of 10 classes, which included healthy and three stages of bacteria, virus, and fungus images of fruits and leaves. The stages of Swin Transformer V2-Tiny divide the image into patches, namely, linear projection, Window Multi-Head Self-Attention (W-MSA), and Shifted Window Multi-Head Self-Attention (SW-MSA) for local and global features, which were adapted to perform the plant disease classification. Experiments on authors’ curated and standard datasets and a comparative study with recent methods demonstrate effective classification and superiority over existing methods. To the best of our knowledge, this is the first study on the classification of fruit and leaf pathogens caused by bacteria, viruses, and fungi based on their development stages. The proposed model achieved an average classification rate of 91.04% on fruit datasets and 94.07% on leaf datasets, outperforming recent benchmark methods. It also demonstrated strong generalization on unseen public datasets with over 93% accuracy. Received: 5 May 2025 | Revised: 15 August 2025 | Accepted: 17 October 2025 Conflicts of Interest Shivakumara Palaiahnakote is the Editor-in-Chief for Artificial Intelligence and Applications, and he was not involved in the editorial review or the decision to publish this article. The authors declare that they have no conflicts of interest to this work. Data Availability Statement Data sharing is not applicable to this article as no new data were created or analyzed in this study. Author Contribution Statement Poornima Basatti Hanuma Gowda: Software, Data curation, Writing – original draft, Visualization. Basavanna Mahadevappa: Formal analysis, Investigation, Supervision, Project administration. Shivakumara Palaiahnakote: Conceptualization, Methodology. Muhammad Hammad Saleem: Validation, Writing – review & editing. Niranjan Mallappa Hanumanthu: Resources
Manahil al-Safa fi Jamal al-Mustafa by Abu al-Abbas Ahmed bin Abd al-Hay al-Halabi al-Fassi (1120 AH) - study and investigation -
No full textThis research is a study and investigation of a manuscript on the biography, beauty and morals of our Noble Prophet Muhammad bin Abdullah, may God’s prayers and peace be upon him, whose name is (Manahil al-Safa fi Dhat al-Mustafa, may God’s prayers and peace be upon him) by Abu al-Abbas Ahmad ibn Abd al-Hayy al-Halabi al-Fassi (d. 1120 AH), which is a manuscript of nine papers, in which he spoke. The author before describing the beauty of the Prophet, may God’s prayers and peace be upon him, with an introduction to the meaning of beauty and majesty in the language, and he mentioned benefits and warnings in it, then he described the beauty of God Almighty, and after that he mentioned the images of the Prophet Muhammad, may God’s prayers and peace be upon him, physical and moral beauty that God Almighty preferred and distinguished him from other prophets And other people and made it a reason to win the hearts of many people and their entry into the religion of God Almighty. In his words, the author of the manuscript cited verses from the Noble Qur’an, hadiths from the Sunnah, and verses from Arabic poetry, in addition to the rhetorical and jurisprudential sayings of scholars, through which he clarifies the intended meaning of the images of beauty mentioned or mentioned by scholars who preceded him, relying on various sources, including: Books Interpretation of the Noble Qur’an, books of the Prophet’s biography, books of the noble Prophet’s hadith, books and dictionaries of the Arabic language, books of jurisprudence, books of mysticism and faith
Challenges in the management of glaucoma in developing countries
No full textAbstractGlaucoma is the most common optic neuropathy characterized by normal to raised intraocular pressure (IOP), visual field defects, loss of retinal nerve fiber layer, thinning of the neuroretinal rim, and cupping of the optic disc. IOP reduction by medical, laser, or surgical therapies remains the only clinically proven treatment of glaucoma. The challenges in glaucoma management are diverse. They include early detection and diagnosis, setting of appropriate target IOP, choice of treatment, monitoring of quality of life and sight, and compliance with the treatment. Early diagnosis can be made by assessing optic nerve structure using imaging devices and optic nerve function through perimetry. Reducing IOP and controlling its fluctuations are considered to be the most important factors in limiting progression of glaucoma. Selection of the best suitable therapy out of medical, surgical, or laser treatment options is yet another management challenge. Patients suffering from glaucoma experience poor quality of life owing to the diagnosis itself, functional visual loss, inconvenience and cost of treatment, and side effects of treatment. All these factors lead to poor compliance, adherence, and persistence to treatment, and further progression of the disease. It is, therefore, important that ophthalmologists keep all the aforementioned factors in mind when managing patients with glaucoma
Optimizing the phosphorus use in cotton by using CSM-CROPGRO-cotton model for semi-arid climate of Vehari-Punjab, Pakistan
No full textRahman, Muhammad Habib ur/0000-0002-2823-9959; Jabran, Khawar/0000-0001-8512-3330; Hakeem, Khalid Rehman/0000-0001-7824-4695; Amin, Asad/0000-0003-2242-8377; Ata-Ul-Karim, Syed Tahir/0000-0001-5233-4502; Jatoi, Ghulam Hussain/0000-0002-7266-1567; Rehmani, M.I.A./0000-0001-7922-1233; Bajwa, Ali/0000-0002-7171-3118; Nadeem, Muhammad/0000-0002-7426-1196; Ata-Ul-Karim, Syed Tahir/0000-0001-5233-4502; Ameen, Asif/0000-0002-3982-7000; Islam, Faisal/0000-0002-1471-1570WOS: 000397013000067PubMed: 28054268Crop nutrient management is an essential component of any cropping system. With increasing concerns over environmental protection, improvement in fertilizer use efficiencies has become a prime goal in global agriculture system. Phosphorus (P) is one of the most important nutrients, and strategies are required to optimize its use in important arable crops like cotton (Gossypium hirsutum L.) that has great significance. Sustainable P use in crop production could significantly avoid environmental hazards resulting from over-P fertilization. Crop growth modeling has emerged as an effective tool to assess and predict the optimal nutrient requirements for different crops. In present study, Decision Support System for Agro-technology Transfer (DSSAT) sub-model CSM-CROPGRO- Cotton-P was evaluated to estimate the observed and simulated P use in two cotton cultivars grown at three P application rates under the semi-arid climate of southern Punjab, Pakistan. The results revealed that both the cultivars performed best at medium rate of P application (57 kg ha(-1)) in terms of days to anthesis, days to maturity, seed cotton yield, total dry matter production, and harvest index during 2013 and 2014. Cultivar FH-142 performed better than MNH-886 in terms of different yield components. There was a good agreement between observed and simulated days to anthesis (0 to 1 day), days to maturity (0 to 2 days), seed cotton yield, total dry matter, and harvest index with an error of -4.4 to 15%, 12-7.5%, and 13-9.5% in MNH-886 and for FH-142, 4-16%, 19-11%, and 16-8.3% for growing years 2013 and 2014, respectively. CROPGRO-Cotton-P would be a useful tool to forecast cotton yield under different levels of P in cotton production system of the semi-arid climate of Southern Punjab.Government of Australia [4915_2015]; Higher Education Commission (HEC) of PakistanHigher Education Commission of PakistanThe first author is grateful to the International Global Change Institute (IGCI) Hamilton, New Zealand, for providing the software (SimCLIM2013) and the required climatic dataset for future projections with for southern Punjab, Pakistan. The first author is thankful to Prof. Dr. Gerrit Hoogenboom (Ex-Director, AgWeatherNet, Washington State University, USA; Currently: University of Florida-USA), for his technical guidance and support during the entire period of study and modeling work. Furthermore, first author is highly thankful from NASA for weather data of respective years (which was obtained from website http://power.larc.nasa.gov/cgi-bin/cgiwrap). The corresponding author (Wajid NASIM) is highly thankful to Government of Australia, for Endeavor Research Award/Fellowship (No. 4915_2015) to The Commonwealth Scientific and Industrial Research Organization (CSIRO), Sustainable Agriculture, National Research Flagship, Toowoomba-QLD 4350, Australia. Furthermore, co-authors (Wajid NASIM and Shakeel AHMAD) are highly thankful for Higher Education Commission (HEC) of Pakistan for partial funding
Iatrogenic Pneumoperitoneum Following Peritoneal Dialysis in A Neonate with Methylmalonic Acidemia: A Rare Case Report
No full textThis is a case of a neonate who was brought to the hospital at 46 hours of life with symptoms of fatigue, difficulty breathing and hypoglycemia for the past 6 hours. His septic workup was normal; however, labs were consistent with high anion gap metabolic acidosis, hyperammonemia, and urine positive for methylmalonic acid. Due to persistent encephalopathy and high ammonia levels, he was intubated, and peritoneal dialysis (PD) was started. On day 3 of PD drain placement, the baby developed abdominal distension. Abdominal x-ray showed a football sign indicative of pneumoperitoneum. Tube feeding was started with special formula milk. The neonate improved clinically and was discharged at the 11th day of life.
Monkeypox Is Not a Sexually Transmitted Disease : A Public Health Concern and Avoidance of Myths
No full textPlant Disease Classification: A Comparative Evaluation of Convolutional Neural Networks and Deep Learning Optimizers
No full textRecently, plant disease classification has been done by various state-of-the-art deep learning (DL) architectures on the publicly available/author generated datasets. This research proposed the deep learning-based comparative evaluation for the classification of plant disease in two steps. Firstly, the best convolutional neural network (CNN) was obtained by conducting a comparative analysis among well-known CNN architectures along with modified and cascaded/hybrid versions of some of the DL models proposed in the recent researches. Secondly, the performance of the best-obtained model was attempted to improve by training through various deep learning optimizers. The comparison between various CNNs was based on performance metrics such as validation accuracy/loss, F1-score, and the required number of epochs. All the selected DL architectures were trained in the PlantVillage dataset which contains 26 different diseases belonging to 14 respective plant species. Keras with TensorFlow backend was used to train deep learning architectures. It is concluded that the Xception architecture trained with the Adam optimizer attained the highest validation accuracy and F1-score of 99.81% and 0.9978 respectively which is comparatively better than the previous approaches and it proves the novelty of the work. Therefore, the method proposed in this research can be applied to other agricultural applications for transparent detection and classification purposes
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