41 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
Critical appraisal of methodological limitations in the systematic review on interphalangeal joint fracture fixation
No full textCritical appraisal of 'exoscope-assisted spine surgery: Current applications and future directions': Addressing methodological and interpretational limitations
No full textAdaptive 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
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
Predictors of lymph node involvement in bladder cancer treated with radical cystectomy
No full textObjective: To identify the clinical variables associated with prevalence of lymph node metastasis in patients with bladder cancer treated by radical cystectomy and lymphadenectomy for primary bladder cancer. Methods: Review of records of Ninety-five patients who underwent radical cystectomy and pelvic lymph node (LN) dissection during the period of 1995-2008 from a prospectively maintained database. Eighteen patients were excluded due to lack of data on the nodal status, leaving 77 evaluable patients. Associations between LN metastasis and age, gender, duration of disease, number of transurethral resection (TUR) prior to cystectomy, pathological grade and tumour stage was analyzed. Data was analyzed using the SPSS software, version 15. Statistical tests applied were independent sample t test or the Mann Whitney U test, the chi-square test and the Fischer exact test. Results: The median age of the patients was 58 years in lymph node negative group and 63 years in lymph node positive group. There were 87% males and 13% females. LN metastasis was detected in 19 (25%) patients. Mean duration of disease in LN negative patients was 537 +/- 997 days compared to 509 +/- 708 days in LN positive patients. Mean number of TUR were same in both the groups, pathological grade was not found significantly different in both groups, where as primary tumour stage was found to be significantly (p \u3c 0.05) higher in LN positive patients. Conclusions: Higher primary tumour stage at radical cystectomy is associated with higher prevalence of lymph node metastasis
Petrography and Lithofacies of the Siwalik Group in the Core of Hazara-Kashmir Syntaxis: Implications for Middle Stage Himalayan Orogeny and Paleoclimatic Conditions
No full textThe present field and petrographic investigations of the Tortonian to Gelasian Siwalik Group in the core of the Hazara-Kashmir Syntaxis have been carried out to comprehend the middle stage Himalayan orogeny that resulted from the collision of Indian and Asian plates. The Chinji, Nagri, Dhok Pathan, and Soan Formations of the Siwalik Group were deposited by river meandering flood plains, braided rivers, and alluvial fan systems, respectively. The Siwalik Group is classified into seven major facies and many minor facies based on sedimentological properties. According to the petrographic analysis, the Siwalik Group sandstone is classified as litharenite and feldspathic litharenite petrofacies. The sandstone of the Siwalik Group is texturally mature, but compositionally it is immature. The data shown on the tectonic discrimination diagrams point to a recycled orogen provenance field for the Siwalik sandstone. In addition to quartz and feldspar, the sandstone includes clasts of volcanic, metamorphic, and sedimentary rock types. The igneous and metamorphic rock clasts were derived from the Lesser and Higher Himalayas. The sedimentary lithic fragments, on the other hand, are derived from both the earlier molasse and pre-molasse rocks. The presence of lithic fragments of the earlier molasse sandstone in the Siwalik sandstone indicates that the Siwalik Group sandstones were deposited during the Middle Stage of the Himalayan orogeny. The paleoclimatic conditions were semi-arid to semi-humid during the Siwalik Group’s deposition. The presence of clay minerals in the shale reveals the intense chemical weathering processes that occurred during their deposition on the flood plains of the river meandering system
Sedimentology and Diagenesis of the Early–Middle Eocene Carbonate Deposits of the Ceno-Tethys Ocean
No full textAn integrated study based on field observation, petrography, and scanning electron microscopy (SEM) on the Early–Middle Eocene carbonate rocks has been carried out, which were deposited in the Ceno-Tethys Ocean. The study area of the Yadgaar Section lies on the eastern margin of the Upper Indus Basin, Pakistan. The Early–Middle Eocene Margalla Hill Limestone and Chorgali Formation act as reservoir rocks in other parts of the basin and are also present in the Yadgaar Section. The lack of comprehensive study in this area makes these reservoir rocks highly attractive for sedimentological evaluations and future exploration of hydrocarbons. The Early–Middle Eocene carbonate rocks are divided into nine microfacies: dolomicritic foraminiferal mudstone–wackestone microfacies (EMI); green algae dominated, mixed foraminiferal wackestone–packstone microfacies (EMII); ostracod, green algae and gypsum dominating mudstone–wackestone microfacies (EMIII); algae and mixed foraminiferal wackestone–packstone microfacies (EMIV); Nummulites dominating mudstone–wackestone microfacies (EMV); algal limestone mudstone microfacies (EMVI); Assilina bed wackestone–packstone microfacies (EMVII); micritized larger benthic foraminiferal wackestone–packstone microfacies (EMVIII); and algal limestone, mudstone microfacies (EMIX). The transgressive-regressive environment in the Ceno-Tethys Ocean leads to the deposition of these microfacies in the platform interior, open marine platform, platform edge, platform margin reef, toe of the slope apron, arid–humid platform interior, platform edge, open marine platform interior, and restricted marine platform interior, respectively. Initial post-depositional diagenetic stages are identified from the base to the top of the strata by their respective cement types, i.e., the base–lower middle part of the strata demonstrates an eogenetic sub-stage with the appearance of drusy cement, the middle section indicates a mesogenetic sub-stage by the appearance of blocky cement, while the top portion again reveals an eogenetic sub-stage of diagenesis by the presence of drusy and blocky types of cement. The ascending–descending hierarchy of cement generations is directly proportional to the grade of diagenesis from the base to the top of the carbonate strata. Variable diagenetic effects on the various microfacies also increase the secondary porosity range and enhance the reservoir characteristics of the Formations. The presence of foraminifera microfossils determined that these carbonate formations date from the Early–Middle Eocene
Plant 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
