85 research outputs found

    Folio

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    Platinum EditionGod Bless Them! pp. 1; In Memory of Prof. Khurshid A. Gill. pp. 2; Sandhu, M. Y.-Poetry-Memories of the Bye-gones. pp. 2; Arif Qureshi-In dulcet memory... pp. 3-4; Arif Qureshi-Poetry-Reminiscences. pp. 4; Ravia Shabeen-The Folio (Registering its History). pp. 5-6; Folio (Year by Year). pp. 7-8; Interview-The Living Legend (F.E. Chaudhry is the oldest Formanite alive, to the best of our knowledge). pp. 9-10; Interview-An Hour with Mian Muhammad Somroo. pp. 11-12; Zainab Mohsin-Buildings. pp. 13-14; Agha Mohsin Sohail-Formanites Are Great. pp. 15-17; Once A Formanite... Always A Formanite. pp. 18-20; Haque Nawaz Cheema-Love for my Institution. pp. 21; Agha Saeed-Old is Gold, New is Silver. pp. 22; Lamia Islam Khan-My Favourite Place. pp. 23; Sara Kanwal-Motivation Forever. pp. 24-25; Bilkis Hussain-Before Sunset. pp. 26; Farid A. Malik-Back to 1958. pp. 27-28; The Excellers. pp. 29-30; Position Holders (Convocation 2008). pp. 31; Survey. pp. 33-34; Donald Alfred Smith-Poetry-A Valentine. pp. 35; Easha Farooq-Love - A Human Need. pp. 36; Fatima Majeed-Defining Love. pp. 37; Bahawal Shehryar-A Fundamentalist. pp. 38; Farhat Aziz-Essay-Concept of Love in Christianity and Islam. pp. 39-40; Fatima Tahir-Mother's Love. pp. 41; Rabiya Khawar-A Blessing for the Two Worlds. pp. 42; Anam Khalid-Etymology of Love. pp. 43; Noor Nisha-Beauty of Love. pp. 44; Ayesha Rana-The Ultimate Aim. pp. 45; Madiha Sundas Rana-I Love thee for a Heart that is Kind. pp. 46; Rabiya Khawar-True Love Never Dies. pp. 47; Amina Jamil-Love - A Timeless Essence. pp. 48; Farhan Hashmi-Love Its Immortal. pp. 49; Kashifa Khalid-A Quest. pp. 50; Daud Aziz Khokher-Love!!! pp. 51-52; Bilkis Hussain-The Truth about Love!!! pp. 53; Alvi, M. Zohaib-Love in Politics. pp. 54; Fatima Arif-Waiting to be Loved like Before. pp. 55-56; Azzam Saddique-Essay-My Symphony for the Deaf. pp. 57-59; Rabiya Khawar-The Quaid-e-Azam. pp. 60-61; Tajwar Ali-Essay-The Unique Location of My Gilgit Baltistan. pp. 62-63; Ramla Ashfaq-Turn Minus Into Plus. pp. 64; Furqan Ali Akhtar-My Childhood Love. pp. 65-66; Kashifa Khalid-Silent Screams. pp. 67-68; Beenish Khokhar-Where we Started? Where we end? pp. 69-70; Omer Habib-Falling Apart. pp. 71; Sobia Kiran-A Speech by my Dream-Minister. pp. 72-74; Interview-An Evening with Javed Iqbal. pp. 75-79; Adil Khurram-Story-Deception. pp. 81-82; Shehzad, M. Shehril-Story-Whatever happened to... pp. 83; Bhatti, M. Umar-Story-Spell. pp. 84-85; Usman Khalid-Story-Love. pp. 86; Umer Murtaza Qureshi-Story-Road Kill. pp. 87-88; Shehzad, M. Shehril-Story-...as I sat down, I sensed something was Different... pp. 89; Hassan Noor Assad-Story-Born Again. pp. 90; Muhammad Adeel-Story-The Cookies. pp. 91-92; Waseem Anwar-Poetry-Out West and the Rule of the Law. pp. 93; Zainab Mohsin-Poetry-Life goes on. pp. 94; Bilkis Hussain-Poetry-Paint me, please. pp. 94; Minam Ahmed-Poetry-Mother. pp. 95; Usman Nasir-Poetry-My tears. pp. 95; Jahanzaib Aslam-Poetry-Untitled. pp. 96; Mehwish Shafi-Poetry-A Fairy Who Lives with Me. pp. 96; Rashion Sajid-Poetry-Old days. pp. 97; Abdul Rehman-Poetry-Essence. pp. 97; Saadia Riaz Sehole-Poetry-Can you justify it? pp. 98; Saad Sarfraz Sheikh-Poetry-The Wishlist thing of mine. pp. 98; Razzaq, M. Sarmad-Poetry-Till we meet again. pp. 99; Fariha Qayyum-Poetry-We...The Formanite. pp. 99; Sohaib Zaheer-Poetry-By Love Serve One Another. pp. 100; Fakiha Komal-Poetry-The Lost Love. pp. 100; Irteza Rehman-Poetry-Realization. pp. 101; Sana Jennifer-Poetry-The Art of Giving. pp. 102; Rizwan Kamran-Poetry-Guess! Who is it? pp. 102; Kamran Akram Gondal-Poetry-Common Things. pp. 103; Rabia Ashfaq-Poetry-The Dying Sun. pp. 103; Hafiz Muhammad Hamza Sehole-Poetry-My Dear Parents. pp. 104; Farhan Hashmi-Poetry-Innocence. pp. 104; Ahmed Farooq-Poetry-All I see is You. pp. 105; Sadia Riaz Sehole-Poetry-Life is at Risk. pp. 105; Goraya, M. Furqan-Poetry-Friendship. pp. 106; Omar Farooq-Poetry-Birth. pp. 106; Iqbal, M. Shaheer-Poetry-In the Shades of Blossom. pp. 107; Nauman Ahmed-Poetry-Life is not what I thought it to be. pp. 107; Haider, S. Zulqarnain-Poetry-Truth. pp. 108; Goraya, M. Furqan-Poetry-Examinations. pp. 108; Prof. Arif Qureshi-Poetry-Dreams. pp. 109; Sheraz Ashraf-Poetry-Lonely Heart. pp. 109; Easha Farooq-Poetry-Winter's Tale. pp. 110; Sana Alvi-Poetry-After She Left Me. pp. 110; Sandhu, M. Y.-Poetry-She comes Not. pp. 111; Erum George-Poetry-Change. pp. 111; Muhammad Adeel-Poetry-Peace. pp. 112; Adeel Anwar-Poetry-Vengeance. pp. 112; Azzam Saddique-A ""Prefect"" Story. pp. 113-114; Muhammad Adeel-Flirtation. pp. 115; Saad Sarfraz-Misery Loves Company. pp. 116-117; Haider F. Halim-No Donkeys in New York. pp. 118-119; Lamia Islam Khan-How to prepare a Bride? pp. 120; Saba Zareen-Modern Love Letter. pp. 121; Lamia Islam Khan-Load Shedding. pp. 122; Zafar Khattak-Application to the Staff Editor. pp. 123; Augustine, Milcah-Cartoons. pp. 124-126; Riaz Akbar Somairi-Article-Prospects of Peace in Multicultural South Asia. pp. 127-128; Bakhtawar Khan-Caste System. pp. 129-130; Abdur Rehman Farrukh-Women are not born. They are made. pp. 131-132; Fraaz Mehmud-Romanticism as a Pillar of Nationalism. pp. 133-134; Fizza Ali Shah-Is mobile phone use among youngsters really a menace? pp. 135-136; Mehreen Ali Kasana-One Muffled Scream. pp. 137-138; Kamal ud Din-Dr. Kamal ud Din. pp. 139-140; Miss Zara Hussain. pp. 141; Miss Saima Saleem. pp. 142; Beenish Khokhar-Unforgettable Tour. pp. 143-144; Rizwan Kamran-The Teacher. pp. 145; Maryam Azhar-IT: A New, Challenging Dimension. pp. 146-148; Folio [Urdu] 148 p.Editorial Board (English). 2 pages before Editorial; Advisory Board. 1 page before Editorial; Prof. Khurshid A. Gill & Mr Perviaz Rehmatullah. page 1; F. E. Chaudhry. after page 10; Mian Muhammad Somroo. before page 11; Society Presidents. before page 29; Political Cartoons created by Javed Iqbal (Famous Cartoonist). on 2 pages, after page 79; 20 pages of pictures, Memories, Commencement 2008: Convocation, Valedictory 2009, Sports Day, Line Work, The Story of Yester Years, People Who Make Difference, Campus Life, Societies, Drama. after page 148; Folio Team with Prof Dr K. K. Aziz. after page 8 (Urdu side); Editorial Board (Urdu). 1 page before Urdu Content

    RETRACTED ARTICLE: Association Mapping Study of Various Desirable Traits of Rice

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    Background: This study was performed to evaluate the diversity of various morphological characters and their relationship with yield in rice.  The goal of this work was to find quantitative trait loci (QTL) for yield, yield components, and other agronomic variables in 100 different rice germplasm samples, as well as to assess the genetic structure and degree of linkage disequilibrium in the rice germplasm diversity panel.  To establish Linkage Disequilibrium (LD) between markers and causative mutations, marker density is essential. Linkage disequilibrium (LD) patterns of various SNP markers on all chromosomes. If markers are sufficiently dense to have good coverage of LD, the LD decay with distance can be compared to the marker density.Methods: Different traits were measured and recorded under Randomized Complete Block Design (RCBD) experiment. DNA extraction and PCR analysis was done to measure the genotypic characteristics of rice. Genotypic and phenotypic variability was measured by using ANOVA and GWAS.Results: For pair-wise markers, linkage disequilibrium is calculated as R square and plotted versus the distance between the markers. In this study, the overall phenotypic variability among the examined traits was represented by R2 and ranged from 11.47% to 25.44%. The genetic architecture of these traits may be implied by the recently identified genomic regions (loci). An influential replacement for bi-parental gene maps, genome-wide association studies (GWAS) use data from genome-wide markers in large amounts of easily obtained germplasm.Conclusion: The linkage disequilibrium, which is the non-random link between an allele at two or more loci, is used in this mapping method to infer the innate relationships between phenotypic variations and marker polymorphisms. Genome Wide Association Study (GWAS) of genotypes provides the information about for the selection of genotypes and determination of new marker trait association.Keywords: Oryza sativa L; Rice; DNA; Association mapping; Traits Retraction Note24 Sept 2025: The Editor-in-Chief has retracted this article due to the below mentioned scientific deficiencies revealed by an internal audit.1. The "Methods" and "Results" sections describe an association mapping study using SSR (microsatellite) markers. However, the "Discussion" section describes the results of a completely different analysis using SNP (single nucleotide polymorphism) markers from a "10k SNP array". The number of associated markers and the phenotypic variance values are completely different for the same traits between the "Results" (SSR data) and "Discussion" (SNP data) sections. The document states that "216 polymorphic SSR markers were employed" for the study. However, the discussion later claims a result was obtained "With the use of 204 polymorphic SSR markers".2. The text states there are "thirteen SSR markers" for this trait. It then describes their locations as "two markers were from chromosomes 4, 6 and 8 and the remaining were from chromosomes 1, 2, 3, 5, 9, 11 and 9". Listing chromosome 9 twice appears to be an error, and the count is confusing (3 chromosomes x 2 markers + 7 chromosomes x 1 marker = 13 markers, but chromosome 9 is repeated).3. The distribution of 14 markers is described as "four on chromosome 5, three on each of chromosomes 1, 2, and 10, two on each of chromosomes 1, 2, and 9, and one on chromosome 4". Chromosomes 1 and 2 are listed twice with different marker counts (three and two), making the description contradictory and impossible to parse.4. The abstract states the overall phenotypic variability (R2) ranged from 11.47% to 25.44%. However, the results section lists multiple marker-trait associations with phenotypic variance values outside this range, such as 28.57% for plant height, 29.78% for spikelets per panicle, 26.85% for primary branches, 26.97% for secondary branches, 28.68% for seed thickness, and 29.88% for 1000-seed weight.5. The methods state, "Markers were considered significant if the adjusted P value was greater than 0.05". This is scientifically incorrect. A significance threshold is conventionally set as a p-value less than a certain value (e.g., P<0.05).6. The "Discussion" section is based on a Genome-Wide Association Study (GWAS) using a "10k SNP array" and "GAPIT in the R software". These materials and methods are never mentioned in the "Methods" section, which only describes SSR marker analysis using TASSEL and STRUCTURE software.7. The method for multiple testing correction is described as "50000 mutations per mutation", which is nonsensical. This is likely a typographical error for "50,000 permutations".8. The PCR program is described as consisting of "6 cycles". The subsequent description details multiple steps, including an initial denaturation, a final extension, and "36 repeated cycles" of amplification. This is a single multi-step program, not "6 cycles".The authors have not responded to correspondence regarding this retraction

    Synergistic antibacterial activity of surfactant free Ag–GO nanocomposites

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    Abstract Graphene oxide–silver (Ag–GO) nanocomposite has emerged as a vital antibacterial agent very recently. In this work, we report a facile one step route of Ag–GO nanocomposite formation excluding the aid of surfactants and reductants and was successfully applied to negative Escherichia Coli (E coli) to investigate antibacterial activity by varying doze concentration. The successful formation of Ag–GO nanocomposite via facile one step route was confirmed using Fourier transform infrared spectroscopy (FTIR) and Raman Spectroscopy. The absorption spectra (peak ~ 300 nm) for GO and the (peak ~ 420 nm) for silver nanoparticles were observed. XRD study confirmed the formation of Ag–GO nanocomposite while atomic force microscopy (AFM) showed crumbled GO sheets decorated with Ag nanoparticles. It was observed that the functional groups of GO facilitated the binding of Ag nanoparticles to GO network and enhanced the antibacterial activity of the nanocomposite

    Synthesis of Novel MOF-5 Based BiCoO3 Photocatalyst for the Treatment of Textile Wastewater

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    Water pollution, having organic dyes, has lethal impacts on aquatic life and public health. To eliminate or degrade dyes, a metal-organic framework (MOF) based BiCoO3 semiconductor is considered a potential photocatalyst for the degradation of dyes. In this study, the MOF-5-based BiCoO3 (MOF-5/BiCoO3) composite was successfully synthesized using a one-pot hydrothermal process. Different analytical techniques were used to characterize MOF-5/BiCoO3 composite and pure MOF-5 samples. When compared to pure MOF-5, the experimental and characterization analysis showed that the MOF-5/BiCoO3 composite has better photocatalytic activity (99.6%) for the degradation of Congo-red (CR) dye due to the formation of heterostructure between MOF-5 and BiCoO3, which improve the separation of charge carriers. Meanwhile, the introduction of BiCoO3 with MOF-5 changes the surface morphology of MOF-5/BiCoO3 composite, increasing the surface area for CR adsorption and thus improving photocatalytic efficiency. Based on radical trapping experiments, the superoxide and hydroxyl radicals are dominant species in the CR degradation process. The reusability results demonstrate that MOF-5/BiCoO3 composite can be used effectively for up to five cycles, which makes the process more economical. Hence, MOF-5/BiCoO3 composite offers a promising approach to developing a highly effective, stable, efficient, economical, and sustainable photocatalyst for the dissociation of organic pollutants from wastewater streams

    siRNAs: Potential therapeutic agents against Hepatitis C Virus

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    Abstract Hepatitis C virus is a major cause of chronic liver diseases which can lead to permanent liver damage, hepatocellular carcinoma and death. The presently available treatment with interferon plus ribavirin, has limited benefits due to adverse side effects such as anemia, depression and "flu-like" symptoms. Needless to mention, the effectiveness of interferon therapy is predominantly, if not exclusively, limited to virus type 3a and 3b whereas in Europe and North America the majority of viral type is 1a and 2a. Due to the limited efficiency of current therapy, RNA interference (RNAi) a novel regulatory and powerful silencing approach for molecular therapeutics through a sequence-specific RNA degradation process represents an alternative option. Several reports have indicated the efficiency and specificity of synthetic and vector based siRNAs inhibiting HCV replication. In the present review, we focused that combination of siRNAs against virus and host genes will be a better option to treat HCV</p

    A combined deep learning and ensemble learning methodology to avoid electricity theft in smart grids

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    Electricity is widely used around 80% of the world. Electricity theft has dangerous effects on utilities in terms of power efficiency and costs billions of dollars per annum. The enhancement of the traditional grids gave rise to smart grids that enable one to resolve the dilemma of electricity theft detection (ETD) using an extensive amount of data formulated by smart meters. This data are used by power utilities to examine the consumption behaviors of consumers and to decide whether the consumer is an electricity thief or benign. However, the traditional data-driven methods for ETD have poor detection performances due to the high-dimensional imbalanced data and their limited ETD capability. In this paper, we present a new class balancing mechanism based on the interquartile minority oversampling technique and a combined ETD model to overcome the shortcomings of conventional approaches. The combined ETD model is composed of long short-term memory (LSTM), UNet and adaptive boosting (Adaboost), and termed LSTM–UNet–Adaboost. In this regard, LSTM–UNet–Adaboost combines the advantages of deep learning (LSTM-UNet) along with ensemble learning (Adaboost) for ETD. Moreover, the performance of the proposed LSTM–UNet–Adaboost scheme was simulated and evaluated over the real-time smart meter dataset given by the State Grid Corporation of China. The simulations were conducted using the most appropriate performance indicators, such as area under the curve, precision, recall and F1 measure. The proposed solution obtained the highest results as compared to the existing benchmark schemes in terms of selected performance measures. More specifically, it achieved the detection rate of 0.92, which was the highest among existing benchmark schemes, such as logistic regression, support vector machine and random under-sampling boosting technique. Therefore, the simulation outcomes validate that the proposed LSTM–UNet–Adaboost model surpasses other traditional methods in terms of ETD and is more acceptable for real-time practices
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