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| 1 | Novel biallelic loss-of-function mutations in CFAP43 cause multiple morphological abnormalities of the sperm flagellum in Pakistani families显示文摘Multiple morphological abnormalities of the sperm flagella(MMAF)is a specific type of asthenoteratozoospermia,presenting with multiple morphological anomalies in spermatozoa,such as absent,bent,coiled,short,or irregular caliber flagella.Previous genetic studies revealed pathogenic mutations in genes encoding cilia and flagella-associated proteins(CFAPs;e.g.,CFAP43,CFAP44,CFAP65,CFAP69,CFAP70,and CFAP251)responsible for the MMAF phenotype in infertile men from different ethnic groups.However,none of them have been identified in infertile Pakistani males with MMAF.In the current study,two Pakistani families with MMAF patients were recruited.Whole-exome sequencing(WES)of patients and their parents was performed.WES analysis reflected novel biallelic loss-of-function mutations in CFAP43 in both families(Family 1:ENST00000357060.3,p.Arg300Lysfs*22 and p.Thr526Serfs*43 in a compound heterozygous state;Family 2:ENST00000357060.3,p.Thr526Serfs*43 in a homozygous state).Sanger sequencing further confirmed that these mutations were segregated recessively in the families with the MMAF phenotype.Semiquantitative reverse-transcriptase polymerase chain reaction(qRT-PCR)was carried out to detect the effect of the mutation on mRNA of the affected gene.Previous research demonstrated that biallelic loss-of-function mutations in CFAP43 accounted for the majority of all CFAP43-mutant MMAF patients.To the best of our knowledge,this is the first study to report CFAP43 biallelic loss-of-function mutations in a Pakistani population with the MMAF phenotype.This study will help researchers and clinicians to understand the genetic etiology of MMAF better. | Ihsan Khan Basit Shah Sobia Dil Nadeem Ullah Jian-Teng Zhou Da-Ren Zhao Yuan-Wei Zhang Xiao-Hua Jiang Ranjha Khan Asad Khan Haider Ali Muhammad Zubair Wasim Shah Huan Zhang Qing-Hua Shi | 2021 | Asian Journal of Andrology2021，23，6： | 1 |
| 2 | Mechanistic insights toward identification and interaction of plant parasitic nematodes:A review显示文摘Nematode identification serves as an important param-eter to study their behaviour,importance and pathogenic-ity.Application of classical morphometric based identifica-tion methods prove to be lacking due to insufficient knowledge on morphological variations among closely related taxa.Molecular approaches such as DNA and protein-based information,microarray,probing,sequence-based methods and others have been used to supplement morphology-based methods for nematode identification.Ascarosides and certain protein-based nematode-associated molecular patterns(NAMPs),can be perceived by the host plants,and can initiate a signalling cascade.This review primarily emphasizes on an updated account of different classical and modern tools used for the identification of nematodes.Besides we also summa-rize the mechanism of some important signalling pathways which are involved in the different plant nematode interactions.Nematodes constitute most diverse and least studied group of soil inhabiting invertebrates.They are ecologically and physiologically important,however,wide range of nematodes show harmful impact on the individuals that live within their vicinity.Plant parasitic nematodes(PPNs)are transparent,pseudocoelomate,free living or parasitic microorganisms.PPNs lack morphometric identification methods due to insufficient knowl-edge on morphological variations among closely related taxa.As such,molecular approaches such as DNA and protein-based information,microarray,probing,sequence-based methods and others have been used to supplement morphology-based methods for their identification.To invade the defense response of different plant species,parasitic nematodes have evolved different molecular strategies.Ascarosides and certain protein-based nematode-associated molecular patterns(NAMPs),can be perceived by the host plants,and can initiate a signaling cascade.To overcome the host confrontation and develop certain nematode feeding sites,some members can inject effectors into the cells of susceptible hosts to reprogram the basal resistance signaling.This review primarily emphasizes on an updated account of different classical and modem tools used for the identification of PPNs.Besides we also summarize the mechanism of some important signaling pathways which are involved in the different plant nematode interactions. | Bisma Jan Ali Haider Shah Mudasir Ahmad Bhat Arif Tasleem Jan Ishfaq Ahmad Wani Ali Asghar Shah | 2024 | Soil Ecology Letters2024，6，1： | 0 |
| 3 | Deep Learning with a Novel Concoction Loss Function for Identification of Ophthalmic Disease显示文摘As ocular computer-aided diagnostic(CAD)tools become more widely accessible,many researchers are developing deep learning(DL)methods to aid in ocular disease(OHD)diagnosis.Common eye diseases like cataracts(CATR),glaucoma(GLU),and age-related macular degeneration(AMD)are the focus of this study,which uses DL to examine their identification.Data imbalance and outliers are widespread in fundus images,which can make it difficult to apply manyDL algorithms to accomplish this analytical assignment.The creation of efficient and reliable DL algorithms is seen to be the key to further enhancing detection performance.Using the analysis of images of the color of the retinal fundus,this study offers a DL model that is combined with a one-of-a-kind concoction loss function(CLF)for the automated identification of OHD.This study presents a combination of focal loss(FL)and correntropy-induced loss functions(CILF)in the proposed DL model to improve the recognition performance of classifiers for biomedical data.This is done because of the good generalization and robustness of these two types of losses in addressing complex datasets with class imbalance and outliers.The classification performance of the DL model with our proposed loss function is compared to that of the baseline models using accuracy(ACU),recall(REC),specificity(SPF),Kappa,and area under the receiver operating characteristic curve(AUC)as the evaluation metrics.The testing shows that the method is reliable and efficient. | Sayyid Kamran Hussain Ali Haider Khan Malek Alrashidi Sajid Iqbal Qazi Mudassar Ilyas Kamran Shah | 2023 | Computers, Materials & Continua2023，76，9： | 0 |
| 4 | 英国税务、海关署合并解析显示文摘为了应对国际环境和国内事务的快速变化,世界各国海关的职能都因2004年英国中央政府宣布对国内税务署和海关与税务署进行合并,而引起了一场关于此次合并利弊的探讨。 | Haider Shah Ali Malik Muhammad Zafar Yaqub | 2010 | 中国海关2010，，11： | 0 |
| 5 | Phytochemical screening, antioxidant and antibacterial properties of daphne mucronata显示文摘OBJECTIVE:To aim at preliminary phytochemical screening of Daphne mucronata and evaluate its antioxidant and antibacterial activities.METHODS:Preliminary phytochemical screening was conducted for the crude extracts using standard methods.Antioxidant properties of crude methanolic extracts,n-hexane,chloroform,ethyl acetate and aqueous fractions of leaves,roots and bark were evaluated following standard procedures.The antibacterial activities were checked against Acinetobacter baumannii(A.baumannii),Escherichia coli(E.coli),Pseudomonas aeruginosa(P.aeruginosa),Staphylococcus aureus(S.aureus),Morganella morganii(M.morganii)and vancomycin resistant S.aureus(VRSA).RESULTS:Carbohydrates,saponins,steroids,phenols/tannins,flavonoids and glycosides were present in different parts of Daphne mucronata.The extracts showed good antioxidant activity with EC50 values of 157.82-361.61μg/m L.Methanolic extracts of roots showed good activity against A.baumannii(86.95%),E.coli(85.18%)and S.aureus(84.61%).Methanolic extracts of bark were active against A.bumanni(65.21%),M.morganii(65.21%)and E.coli(62.96%).Methanolic extracts of leaves showed good activity against A.bumanni(78.26%),E.coli(77.78%),P.aeruginosa(74.07%),S.aureus(73.07%),M.morganii(69.56%),VRSA(68%)and Proteus vulgaris(60%).The n-hexane fraction of roots was effective against A.bumanni(78.26%).Chlorofom fraction of roots showed moderate activity against A.bumanni(60.86%)and S.aureus(61.53%).Ethyl acetate fraction of roots showed moderate activity against A.bumanii(69.56%),E.coli(62.96%)and S.aureus(69.23%).CONCLUSION:This study illustrates that Daphne mucronata possesses good antioxidant and antibacterial properties.The plant could be further exploited as potential natural antioxidant and as a new source of antimicrobials for treatment of various infections. | Ghosia Lutfullah Asma Shah Kafeel Ahmad Jamila Haider | 2019 | Journal of Traditional Chinese Medicine2019，39，6： | 0 |
| 6 | A Quantum Spatial Graph Convolutional Network for Text Classification显示文摘The data generated from non-Euclidean domains and its graphical representation(with complex-relationship object interdependence)applications has observed an exponential growth.The sophistication of graph data has posed consequential obstacles to the existing machine learning algorithms.In this study,we have considered a revamped version of a semi-supervised learning algorithm for graph-structured data to address the issue of expanding deep learning approaches to represent the graph data.Additionally,the quantum information theory has been applied through Graph Neural Networks(GNNs)to generate Riemannian metrics in closed-form of several graph layers.In further,to pre-process the adjacency matrix of graphs,a new formulation is established to incorporate high order proximities.The proposed scheme has shown outstanding improvements to overcome the deficiencies in Graph Convolutional Network(GCN),particularly,the information loss and imprecise information representation with acceptable computational overhead.Moreover,the proposed Quantum Graph Convolutional Network(QGCN)has significantly strengthened the GCN on semi-supervised node classification tasks.In parallel,it expands the generalization process with a significant difference by making small random perturbationsG of the graph during the training process.The evaluation results are provided on three benchmark datasets,including Citeseer,Cora,and PubMed,that distinctly delineate the superiority of the proposed model in terms of computational accuracy against state-of-the-art GCN and three other methods based on the same algorithms in the existing literature. | Syed Mustajar Ahmad Shah Hongwei Ge Sami Ahmed Haider Muhammad Irshad Sohail M.Noman Jehangir Arshad Asfandeyar Ahmad Talha Younas | 2021 | Computer Systems Science & Engineering2021，36，2： | 0 |
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