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| 1 | Single vs dual(en bloc) kidney transplants from donors ≤ 5 years of age: A single center experience显示文摘AIM: To compare outcomes between single and dual en bloc(EB) kidney transplants(KT) from small pediatric donors. METHODS: Monocentric nonprospective review of KTs from pediatric donors ≤ 5 years of age. Dual EB KT was defined as keeping both donor kidneys attached tothe inferior vena cava and aorta, which were then used as venous and arterial conduits for the subsequent transplant into a single recipient. Donor age was less useful than either donor weight or kidney size in decision-making for kidney utilization as kidneys from donors < 8 kg or kidneys < 6 cm in length were not transplanted. Post-transplant management strategies were standardized in all patients.RESULTS: From 2002-2015, 59 KTs were performed including 34 dual EB and 25 single KTs. Mean age of donors(17 mo vs 38 mo, P < 0.001), mean weight(11.0 kg vs 17.4 kg, P = 0.046) and male donors(50% vs 84%, P = 0.01) were lower in the dual EB compared to the single KT group, respectively. Mean cold ischemia time(21 h), kidney donor profile index(KDPI; 73% vs 62%) and levels of serum creatinine(SCr, 0.37 mg/d L vs 0.49 mg/d L, all P = NS) were comparable in the dual EB and single KT groups, respectively. Actuarial graft and patient survival rates at 5-years follow-up were comparable. There was one case of thrombosis resulting in graft loss in each group. Delayed graft function incidence(12% dual EB vs 20% single KT, P = NS) was slightly lower in dual EB KT recipients. Initial duration of hospital stay(mean 5.4 d vs 5.6 d) and the one-year incidences of acute rejection(6% vs 16%), operative complications(3% vs 4%), and major infection were comparable in the dual EB and single KT groups, respectively(all P = NS). Mean 12 mo SCr and abbreviated MDRD levels were 1.17 mg/d L vs 1.35 mg/d L and 72.5 m L/min per 1.73 m^2 vs 60.5 m L/min per 1.73 m^2(both P = NS) in the dual EB and single KT groups, respectively. CONCLUSION: By transplanting kidneys from young pediatric donors into adult recipients, one can effectively expand the limited donor pool and achieve excellent medium-term outcomes. | Yousef Al-Shraideh Umar Farooq Hany El-Hennawy Alan C Farney Amudha Palanisamy Jeffrey Rogers Giuseppe Orlando Muhammad Khan Amber Reeves-Daniel William Doares Scott Kaczmorski Michael D Gautreaux Samy S Iskandar Gloria Hairston Elizabeth Brim Margaret Mangus Robert J Stratta | 2016 | World Journal of Transplantation2016，6，1： | 3 |
| 2 | Optimal management of nitrogen fertilizer in the main rice crop and its carrying-over effect on ratoon rice under mechanized cultivation in Southeast China显示文摘This study attempted to clarify the carrying-over effect of different nitrogen treatments applied to the main crop on the crop population growth and yield formation of ratoon rice under mechanized cultivation in Southeast China.Based on the constant total nitrogen application amounts(225.00 kg ha;)in the main crop,an experiment with different ratios of basal and topdressing nitrogen fertilizer(the ratio of basal fertilizer:primary tillering fertilizer:secondary tillering fertilizer:booting fertilizer at 3:1:2:4(N1),3:2:1:4(N2),3:3:0:4(N3),and 4:3:0:3(N4),respectively,and a control without nitrogen treatment(N0))was set up across two consecutive years in field using hybrid rice variety Yongyou 1540 as the test materials.The results showed that the total tiller number and effective tillering percentage increased in the main crop under the N1 treatment,more nitrogen fertilizer applied in late growth stage of the main crop,and its effective tillering percentage of the main crop was the highest at up to 70.18%,which was 9.15%higher than that of conventional fertilization treatment(N4),more nitrogen fertilizer applied in early growth stage of the main crop.The same tendency was observed in leaf area index(LAI)value of the main crop and its subsequent ratoon rice,which were 16.52 and 29.87%higher,respectively,in the N1 treatment than that in the N4 treatment at the full heading stage.The same was true in the case of the transport rates of stem and sheath dry mater and the canopy light interception rates in both the main and its ratoon crops.The transport rate of stem and sheath in main crop rice under N1 treatment increased by 50.57%compared with N4 treatment.The canopy light interception rate of N1 treatment increased by 5.07%compared with N4 treatment at the full heading stage of the ratoon crop.Therefore,the total actual yield was the highest in the main and its ratoon crops under N1 treatment,averaging 17351.23 kg ha;in two-year trials,which was 23.00%higher than that in the conventional fertilization treatment(N4).The results showed that appropriate nitrogen treatment was able to produce a good crop stand in the main crop,which was essential for producing a good ratoon crop population and high yield especially under mechanized cultivation with low stubble height of the main crop.The study suggested that shifting the proper nitrogen application amounts to the late growth stage of the main crop,such as N1 treatment,not only had a higher productive effect on ensuring the yield of the main crop,but also had a positive effect on the axillary bud sprouts from the stubbles for ratoon rice,resulting in an increased percentage of productive panicles and achieving the goal of one planting with two good harvests under the conditions of our study. | HUANG Jin-wen WU Jia-yi CHEN Hong-fei ZHANG Zhi-xing FANG Chang-xun SHAO Cai-hong LIN Wei-wei WENG Pei-ying Muhammad Umar KHAN LIN Wen-xiong | 2022 | Journal of Integrative Agriculture2022，21，2： | 2 |
| 3 | 作物化感作用类型:中国研究现状及其展望显示文摘本文从作物种内互作和种间互作以及直接化感作用和间接化感作用两个维度重点阐述了近年来中国在作物化感作用类型的研究及其新进展,以期与同行分享该领域的研究成果和经验。早在1984年就有作物化感作用的相关报道,近年来取得了很大的进展。作物化感作用的概念也延伸到植物-土壤-微生物相互之间的化感作用,作物种植体系中存在的偏害、自毒和促进等现象均与此有关。最近的研究表明,供体植物通过触发防御基因的表达,使代谢产物(化感物质)释放到环境中,尤其是土壤环境中作物的根系等对靶标植物(如杂草)的胁迫做出响应,从而在栽培系统中产生化感偏害或化感偏利现象。根据作用对象的不同,作物化感偏害和偏利现象分为种间和种内的相互作用两种类型。种间作用包括抑制和互惠作用,化感物质的种类、含量及其生物效应决定了其对邻近物种的化感效应;种内作用包括促进和自毒作用,即化感正效应和化感负效应。化感正效应或负效应均与根系分泌物介导的根际土壤微生物组成和结构的变化有关。连续单一化种植导致的病原菌增多、有益菌减少,土壤微生物结构失衡可引起化感负效应。这种微生物结构失衡不可避免地导致土壤养分封存、土壤酸化和土传病害发生等,从而导致作物产量和品质下降。化感正效应则与之相反,连作促进了有益菌群的增加和致病微生物的减少,提高了微生物多样性,从而改善土壤微生境,提高作物产量和品质。因此,研究根际土壤微生物的结构与功能,合理调控作物根际生境以保证其高产优质,促进农业可持续发展,将是今后研究的重点。 | 林志敏 MUHAMMAD Umar Khan 方长旬 林文雄 | 2022 | 中国生态农业学报(中英文)2022，30，3： | 2 |
| 4 | Single and Mitochondrial Gene Inheritance Disorder Prediction Using Machine Learning显示文摘One of the most difficult jobs in the post-genomic age is identifying a genetic disease from a massive amount of genetic data.Furthermore,the complicated genetic disease has a very diverse genotype,making it challenging to find genetic markers.This is a challenging process since it must be completed effectively and efficiently.This research article focuses largely on which patients are more likely to have a genetic disorder based on numerous medical parameters.Using the patient’s medical history,we used a genetic disease prediction algorithm that predicts if the patient is likely to be diagnosed with a genetic disorder.To predict and categorize the patient with a genetic disease,we utilize several deep and machine learning techniques such as Artificial neural network(ANN),K-nearest neighbors(KNN),and Support vector machine(SVM).To enhance the accuracy of predicting the genetic disease in any patient,a highly efficient approach was utilized to control how the model can be used.To predict genetic disease,deep and machine learning approaches are performed.The most productive tool model provides more precise efficiency.The simulation results demonstrate that by using the proposed model with the ANN,we achieve the highest model performance of 85.7%,84.9%,84.3%accuracy of training,testing and validation respectively.This approach will undoubtedly transform genetic disorder prediction and give a real competitive strategy to save patients’lives. | Muhammad Umar Nasir Muhammad Adnan Khan Muhammad Zubair Taher MGhazal Raed A.Said Hussam Al Hamadi | 2022 | Computers, Materials & Continua2022，，10： | 1 |
| 5 | Environmental degradation and poverty:A bibliometric review显示文摘Understanding the mutual logic between environment and poverty mitigation is vital for achieving the United Nations Sustainable Development Goals(SDGs).This study conducts a bibliometric review of the available literature on environmental degradation and poverty and summarizes the existing researches.By applying suitable keywords,we retrieved 175 peer-reviewed articles from the Web of Science published between 1993 and 2020.We utilized the visualization of similarity viewer(VOSviewer)for this bibliometric study and classified the leading publications,prominent journals,and institutions.Furthermore,our bibliometric review found a phenomenon in investigation that people are indifference about the impact of environmental degradation on rising poverty levels in poor and developing countries.In terms of contributions,this study classifies 4 leading thematic clusters that identify how environmental degradation increases poverty.By employing text mining analysis,this research connects specific environmental terms accountable for the recent rise in global poverty.We finally recommend that including other databases to strengthen the findings of environmental degradation and poverty is one of the future research directions. | Muhammad Ali Khan BURKI Umar BURKI Usama NAJAM | 2021 | Regional Sustainability2021，2，4： | 1 |
| 6 | Impact of Tillage and Herbicides on Weed Density, Yield and Quality of Cotton in Wheat Based Cropping System显示文摘Conservation tillage may improve yield of cotton in addition to improvement in soil quality if practiced for longer period. However, the practice may not be productive in short-term particularly when severe weeds are infesting the crops such as Cynodon dactylon, Conyza canadensis, Tribulus terrestris, and Cyperus rotundus, etc. Recent studies indicate that conventional tillage (CT) is more productive than zero tillage (ZT)/reduced tillage (RT). Performance of cotton under three tillage systems, viz., ZT, RT and CT; and five herbicides, i.e., haloxyfop-R-methyl 10.8 EC (108 g a.i. ha^(-1)), lactofen 24 EC (168 g a.i. ha^(-1)), haloxyfop 10.8 EC + lactofen 24 EC, hand weeding, and weedy check were evaluated during 2010-2011 at Gomal University, D.I.Khan, Pakistan, to explore the best management option for effective weed control, enhanced yield and quality of cotton grown after wheat. The results revealed that hand weeding and Haloxyfop as post emergence alone or in combination with Lactofen reduced weed density to the minimum irrespective of the tillage systems. Excessive rainfall and cooler temperature limited cotton growth and yield in 2010. The adverse weather conditions had more adverse effect on boll weight under ZT and RT than CT. Haloxyfop + lactofen produced higher seed cotton yield in RT than ZT, however, it could not exceed CT. Broad-spectrum herbicides×CT produced the highest number of bolls/plant, boll weight and seed cotton yield. Fiber quality and net returns were also the highest in broad-spectrum herbicides×CT. In conclusion, broad-spectrum herbicides under CT were more productive in wheat based cropping system on silty clay soil of D.I.Khan. | Khalid Usman Niamatullah Khan Muhammad Umar Khan Aziz ur Rehman Said Ghulam | 2013 | Journal of Integrative Agriculture2013，12，9： | 1 |
| 7 | Integrated Weed Management Through Tillage and Herbicides for Wheat Production in Rice-Wheat Cropping System in Northwestern Pakistan显示文摘Conservational tillage (CT) in combination with broad spectrum herbicide may be more efficient and economical in controlling weeds, reducing cost of cultivation, and enhancing wheat yield. Field experiments were carried out to evaluate the effect of tillage and herbicides on weeds and wheat yield under rice-wheat cropping system (RWCS). The results indicated that broad spectrum herbicides particularly, carfentrazone ethyl ester + isoproturon (Affinity 50 WDG) reduced weeds density by 93 and 95% compared to control and also produced the maximum grain yield (6 818 and 6 996 kg ha-1) and HI (harvest index, 44.7 and 44.6%) in 2007-2008 and 2008-2009 growing seasons, respectively. The maximum weeds infestation and the lowest yield were recorded in control. Tillage methods significantly influenced grain yield and HI, while no significant effect on all other parameters. The overall mean yield was significantly higher in zero tillage (5 575 kg ha-1) and reduced tillage (5 584 kg ha-1) compared to CT (5 479 kg ha-1). Besides increasing wheat yield, Affinity 50 WDG and zero tillage are important weed management practices that can be integrated into wheat production in RWCS. However, in case of perennial weeds or insect pests?infestation, CT in combination with Affinity 50 WDG would be more productive than conservation tillage. | Khalid Usman Inayat Ullah Said Mir Khan Muhammad Umar Khan Said Ghulam Muhammad Anwar Khan | 2012 | Journal of Integrative Agriculture2012，11，6： | 1 |
| 8 | Liver-Tumor Detection Using CNN ResUNet显示文摘Liver tumor is the fifth most occurring type of tumor in men and the ninth most occurring type of tumor in women according to recent reports of Global cancer statistics 2018.There are several imaging tests like Computed Tomography(CT),Magnetic Resonance Imaging(MRI),and ultrasound that can diagnose the liver tumor after taking the sample from the tissue of the liver.These tests are costly and time-consuming.This paper proposed that image processing through deep learning Convolutional Neural Network(CNNs)ResUNet model that can be helpful for the early diagnose of tumor instead of conventional methods.The existing studies have mainly used the two Cascaded CNNs for liver segmentation and evaluation of Region Of Interest(ROI).This study uses ResUNet,an updated version of U-Net and ResNet Models that utilize the service of Residential blocks.We apply over method on the 3D-IRCADb01 dataset that is based on CT slices of liver tumor affected patients.The results showed the True Value Accuracy around 99%and F1 score performance around 95%.This method will be helpful for early and accurate diagnose of the Liver tumor to save the lives of many patients in the field of Biotechnology. | Muhammad Sohaib Aslam Muhammad Younas Muhammad Umar Sarwar Muhammad Arif Shah Atif Khan MIrfan Uddin Shafiq Ahmad Muhammad Firdausi Mazen Zaindin | 2021 | Computers, Materials & Continua2021，，5： | 0 |
| 9 | Aspect Level Songs Rating Based Upon Reviews in English显示文摘With the advancements in internet facilities,people are more inclined towards the use of online services.The service providers shelve their items for e-users.These users post their feedbacks,reviews,ratings,etc.after the use of the item.The enormous increase in these reviews has raised the need for an automated system to analyze these reviews to rate these items.Sentiment Analysis(SA)is a technique that performs such decision analysis.This research targets the ranking and rating through sentiment analysis of these reviews,on different aspects.As a case study,Songs are opted to design and test the decision model.Different aspects of songs namely music,lyrics,song,voice and video are picked.For the reason,reviews of 20 songs are scraped from YouTube,pre-processed and formed a dataset.Different machine learning algorithms—Naïve Bayes(NB),Gradient Boost Tree,Logistic Regression LR,K-Nearest Neighbors(KNN)and Artificial Neural Network(ANN)are applied.ANN performed the best with 74.99%accuracy.Results are validated using K-Fold. | Muhammad Aasim Qureshi Muhammad Asif Saira Anwar Umar Shaukat Atta-ur-Rahman Muhammad Adnan Khan Amir Mosavi | 2023 | Computers, Materials & Continua2023，，2： | 0 |
| 10 | Use of the multiplane internal mastopexy for ptosis correction revision-augmentation mammoplasty显示文摘Aim:Augmentation mammoplasty is a commonly performed procedure with a high satisfaction rate.Multiplane pocket was described for simultaneous internal mastopexy and augmentation using inframammary crease incision for selected primary and secondary mammoplasties.The use of the technique is presented with a larger experience for correction of ptosis in a patient presenting for revision surgery following subglandular augmentation mammoplasty.Methods:A retrospectively collected data were analyzed using the Excel Spread Sheet.A total of 25 patients had multiplane augmentation with the internal mastopexy following augmentation mammoplasty in subglandular pocket.Data of 25 patients who had their revision surgery in multiplane were analyzed.Results:The group included 25 patients with a mean age of 36.6 years(range:25-54 years)with mean implant duration of 6.4 years(range:1.5-13 years).Twenty-three of the patients were nonsmokers,1 smoker and 1 patient’s smoking status was not mentioned.Eighteen patients presented with grade I capsular contracture,3 patients with grade II contracture and 4 patients had a combination of grade I and II capsular contracture.Pseudoptosis was present in 6,class B ptosis in 6,A/B ptosis in 3,water-down deformity in 5 and rippling in 5 patients.Average preoperative size of implant used initially was 334.4 mL(range:250-340 mL)and the mean implant size selected for revision surgery was 416 mL(range:260-525 mL).Mean follow-up time was 18 months(range:6-48 months).Of 25 patients,21 had a bilateral procedure whereas the technique was used unilaterally in 4 patients for the correction of asymmetry.All patients had a single dose of intravenous antibiotics and followed by an oral course for 5 days,there was no infection noted in the series.In the current series,no patient required revision surgery following the multiplane internal mastopexy.Conclusion:Multiplane internal mastopexy can be useful in selected cases of revisionary augmentation mammoplasty. | Umar Daraz Khan Muhammad Riaz | 2015 | Plastic and Aesthetic Research2015，2，1： | 0 |
| 11 | Analyzing and Enabling the Harmonious Coexistence of Heterogeneous Industrial Wireless Networks显示文摘Nowadays multiple wireless communication systems operate in industrial environments side by side.In such an environment performance of one wireless network can be degraded by the collocated hostile wireless network having higher transmission power or higher carrier sensing threshold.Unlike the previous research works which considered IEEE 802.15.4 for the Industrial Wireless communication systems(iWCS)this paper examines the coexistence of IEEE 802.11 based iWCS used for delay-stringent communication in process automation and gWLAN(general-purpose WLAN)used for non-real time communication.In this paper,we present a Markov chain-based performance model that described the transmission failure of iWCS due to geographical collision with gWLAN.The presented analytic model accurately determines throughput,packet transaction delay,and packet loss probability of iWCS when it is collocated with gWLAN.The results of the Markov model match more than 90%with our simulation results.Furthermore,we proposed an adaptive transmission power control technique for iWCS to overcome the potential interferences caused by the gWLAN transmissions.The simulation results show that the proposed technique significantly improves iWCS performance in terms of throughput,packet transaction,and cycle period reduction.Moreover,it enables the industrial network for the use of delay critical applications in the presence of gWLAN without affecting its performance. | Bilal Khan Danish Shehzad Numan Shafi Ga-Young Kim Muhammad Umar Aftab | 2022 | Computers, Materials & Continua2022，，10： | 0 |
| 12 | Data Fusion Architecture Empowered with Deep Learning for Breast Cancer Classification显示文摘Breast cancer(BC)is the most widespread tumor in females worldwide and is a severe public health issue.BC is the leading reason of death affecting females between the ages of 20 to 59 around the world.Early detection and therapy can help women receive effective treatment and,as a result,decrease the rate of breast cancer disease.The cancer tumor develops when cells grow improperly and attack the healthy tissue in the human body.Tumors are classified as benign or malignant,and the absence of cancer in the breast is considered normal.Deep learning,machine learning,and transfer learning models are applied to detect and identify cancerous tissue like BC.This research assists in the identification and classification of BC.We implemented the pre-trained model AlexNet and proposed model Breast cancer identification and classification(BCIC),which are machine learning-based models,by evaluating them in the form of comparative research.We used 3 datasets,A,B,and C.We fuzzed these datasets and got 2 datasets,A2C and B3C.Dataset A2C is the fusion of A,B,and C with 2 classes categorized as benign and malignant.Dataset B3C is the fusion of datasets A,B,and C with 3 classes classified as benign,malignant,and normal.We used customized AlexNet according to our datasets and BCIC in our proposed model.We achieved an accuracy of 86.5%on Dataset B3C and 76.8%on Dataset A2C by using AlexNet,and we achieved the optimum accuracy of 94.5%on Dataset B3C and 94.9%on Dataset A2C by using proposed model BCIC at 40 epochs with 0.00008 learning rate.We proposed fuzzed dataset model using transfer learning.We fuzzed three datasets to get more accurate results and the proposed model achieved the highest prediction accuracy using fuzzed dataset transfer learning technique. | Sahar Arooj Muhammad Farhan Khan Tariq Shahzad Muhammad Adnan Khan Muhammad Umar Nasir Muhammad Zubair Atta-ur-Rahman Khmaies Ouahada | 2023 | Computers, Materials & Continua2023，77，12： | 0 |
| 13 | Evaluation of antileishmanial,antibacterial and brine shrimp cytotoxic potential of crude methanolic extract of Herb Ocimum basilicum(Lamiacea)显示文摘OBJECTIVE:To collect and screen for ethnopharmacological properties(antileishmanial,antibacterial and brine lethality assays) of medicinal plant Ocimum basilicum from Peshawar region(34.008 latitude and 71.57 altitudes).METHODS:In the present study a general antileishmanial activity against Leishmania tropica strain was carried out.The antibacterial potential of the plant was performed against 06 gram positive and 06 gram negative bacteria.Brine shrimp cytotoxicity assay at different concentrations were investigated.RESULTS:The anti-promastigotes profile of the plant showed good antileishmanial activity exhibited LC_(50) value 21.67 μg/mL.The result for gram positive antibacterial activity revealed that the O.basilicum leaves extract possesses significant inhibitory activity at highest two concentrations ranging from20.66 ± 0.31 to 31.86 ± 0.80 for Clostridium perfringens type C and Bacillus subtitilis,respectively,as compared to the gentamycin(27.36 ± 0.55 and21.80 ± 0.72,respectively).For gram negative bacteria good activity was observed.A highest zone of inhibition was recorded for Pseudomonas aeroginosa(28.83 ± 0.28) atthe highest concentration(10 mg/mL).The LC_(50) value obtained for brine shrimp lethality assay was 91.56 μg/mL.CONCLUSION:The herb basil possesses effective cidal activities which make this plant a good candidate for the isolation of antiprotozoal and antibacterial compounds which may lead to the development of novel drug. | Imran Khan Kafeel Ahmad Ali Talha Khalil Jangrez Khan Yusra Ali Khan Muhammad Shahab Saqib Muhammad Naveed Umar Hilal Ahmad | 2015 | Journal of Traditional Chinese Medicine2015，35，3： | 0 |
| 14 | Band Structure Characteristics of Two-Dimensional Si-A (Ge, Pb, Sn) Alloy-Air Holes Thermal Crystals显示文摘This paper designs the thermal crystals composed of alloy materials with air holes and analyzes their properties of band structures,heat transmission,and flux spectra.Thermal crystals composed of Si-A(A=Ge,Sn,Pb)alloys as background materials and air holes with square array are used to construct an elastic-constant periodic structure and their high-frequency phononic band is calculated by deploying finite element methods.Moreover,this paper investigates heat transmission through a finite array of thermally excited phonons and presents the thermal crystal with maximum heat transport.The results show that a wider bandgap could be achieved by increasing the air hole radius and decreasing the lattice constant.In the alloy materials,with increasing atomic radius and thus atomic mass(Ge,Sn,Pb),the frequency range(contributed to thermal conductivity)shifts towards lower frequency.Hence,the bandgap frequencies also shift toward low frequency,but this decreasing rate is not constant or in order,so former may have a faster or slower decreasing rate than the later.Thus,the frequency range for the contribution of heat transportation overlaps with the bandgap frequency range.The development of thermal crystals is promising for managing heat and controlling the propagation of the thermal wave. | AZKA Umar 姜淳 KHUSHIK Muhammad Hanif Ahmed Khan | 2023 | Journal of Shanghai Jiaotong university(Science)2023，28，2： | 0 |
| 15 | Genome editing in cotton:challenges and opportunities显示文摘Cotton has enormous economic potential providing high-quality protein,oil,and fibre.A large increase in cotton output is necessary due to the world’s changing climate and constantly expanding human population.In the past,conventional breeding techniques were used to introduce genes into superior cotton cultivars to increase production and to improve quality.The disadvantages of traditional breeding techniques are their time-consuming,reliance on genetic differences that are already present,and considerable backcrossing.To accomplish goals in a short amount of time,contemporary plant breeding techniques,in particular modern genome editing technologies(GETs),can be used.Numerous crop improvement initiatives have made use of GETs,such as zinc-finger nucleases,transcription-activator-like effector nucleases,clustered regularly interspaced palindromic repeats(CRISPR),and CRISPR-associated proteins systems(CRISPR/Cas)-based technologies.The CRISPR/Cas system has a lot of potential because it combines three qualities that other GETs lack:simplicity,competence,and adaptability.The CRISPR/Cas mechanism can be used to improve cotton tolerance to biotic and abiotic stresses,alter gene expression,and stack genes for critical features with little possibility of segregation.The transgene clean strategy improves CRISPR acceptability addressing regulatory issues associated with the genetically modified organisms(GMOs).The research opportunities for using the CRISPR/Cas system to address biotic and abiotic stresses,fibre quality,plant architecture and blooming,epigenetic changes,and gene stacking for commercially significant traits are highlighted in this article.Furthermore,challenges to use of CRISPR technology in cotton and its potential for the future are covered in detail. | KHAN Zulqurnain KHAN Sultan Habibullah AHMED Aftab IQBAL Muhammad Umar MUBARIK Muhammad Salman GHOURI Muhammad Zubair AHMAD Furqan YASEEN Saba ALI Zulfiqar KHAN Asif Ali AZHAR Muhammad Tehseen | 2023 | Journal of Cotton Research2023，6，1： | 0 |
| 16 | Federated Machine Learning Based Fetal Health Prediction Empowered with Bio-Signal Cardiotocography显示文摘Cardiotocography measures the fetal heart rate in the fetus during pregnancy to ensure physical health because cardiotocography gives data about fetal heart rate and uterine shrinkages which is very beneficial to detect whether the fetus is normal or suspect or pathologic.Various cardiotocography measures infer wrongly and give wrong predictions because of human error.The traditional way of reading the cardiotocography measures is the time taken and belongs to numerous human errors as well.Fetal condition is very important to measure at numerous stages and give proper medications to the fetus for its well-being.In the current period Machine learning(ML)is a well-known classification strategy used in the biomedical field on various issues because ML is very fast and gives appropriate results that are better than traditional results.ML techniques play a pivotal role in detecting fetal disease in its early stages.This research article uses Federated machine learning(FML)and ML techniques to classify the condition of the fetus.This study proposed a model for the detection of bio-signal cardiotocography that uses FML and ML techniques to train and test the data.So,the proposed model of FML used numerous data preprocessing techniques to overcome data deficiency and achieves 99.06%and 0.94%of prediction accuracy and misprediction rate,respectively,and parallel the proposed model applying K-nearest neighbor(KNN)and achieves 82.93%and 17.07%of prediction accuracy and misprediction accuracy,respectively.So,by comparing both models FML outperformed the KNN technique and achieved the best and most appropriate prediction results as compared with previous studies the proposed study achieves the best and most accurate results. | Muhammad Umar Nasir Omar Kassem Khalil Karamath Ateeq Bassam SaleemAllah Almogadwy Muhammad Adnan Khan Muhammad Hasnain Azam Khan Muhammad Adnan | 2024 | Computers, Materials & Continua2024，78，3： | 0 |
| 17 | HybridHR-Net:Action Recognition in Video Sequences Using Optimal Deep Learning Fusion Assisted Framework显示文摘The combination of spatiotemporal videos and essential features can improve the performance of human action recognition(HAR);however,the individual type of features usually degrades the performance due to similar actions and complex backgrounds.The deep convolutional neural network has improved performance in recent years for several computer vision applications due to its spatial information.This article proposes a new framework called for video surveillance human action recognition dubbed HybridHR-Net.On a few selected datasets,deep transfer learning is used to pre-trained the EfficientNet-b0 deep learning model.Bayesian optimization is employed for the tuning of hyperparameters of the fine-tuned deep model.Instead of fully connected layer features,we considered the average pooling layer features and performed two feature selection techniques-an improved artificial bee colony and an entropy-based approach.Using a serial nature technique,the features that were selected are combined into a single vector,and then the results are categorized by machine learning classifiers.Five publically accessible datasets have been utilized for the experimental approach and obtained notable accuracy of 97%,98.7%,100%,99.7%,and 96.8%,respectively.Additionally,a comparison of the proposed framework with contemporarymethods is done to demonstrate the increase in accuracy. | Muhammad Naeem Akbar Seemab Khan Muhammad Umar Farooq Majed Alhaisoni Usman Tariq Muhammad Usman Akram | 2023 | Computers, Materials & Continua2023，76，9： | 0 |
| 18 | In vitro and in vivo study on fine-grained Mg-Zn-RE-Zr alloy as a biodegradeable orthopedic implant produced by friction stir processing显示文摘Magnesium alloys containing biocompatible components show tremendous promise for applications as temporary biomedical devices. However, to ensure their safe use as biodegradeable implants, it is essential to control their corrosion rates. In concentrated Mg alloys, a microgalvanic coupling between the α-Mg matrix and secondary precipitates exists which results in increased corrosion rate. To address this challenge, we engineered the microstructure of a biodegradable Mg-Zn-RE-Zr alloy by friction stir processing (FSP), improving its corrosion resistance and mechanical properties simultaneously. The FS processed alloy with refined grains and broken and uniformly distributed secondary precipitates showed a relatively uniform corrosion morphology accompanied with the formation of a stable passive layer on the alloy surface. In vivo corrosion evaluation of the processed alloy in a small animal model showed that the material was well-tolerated with no signs of inflammation or harmful by-products. Remarkably, the processed alloy supported bone until it healed till eight weeks with a low in vivo corrosion rate of 0.7 mm/year. Moreover, we analyzed blood and histology of the critical organs such as liver and kidney, which showed normal functionality and consistent ion and enzyme levels, throughout the 12- week study period. These results demonstrate that the processed Mg-Zn-RE-Zr alloy offers promising potential for osseointegration in bone tissue healing while also exhibiting controlled biodegradability due to its engineered microstructure. The results from the present study will have profound benefit for bone fracture management, particularly in pediatric and elderly patients. | Vasanth C.Shunmugasamy Marwa AbdelGawad Muhammad Umar Sohail Talal Ibrahim Talha Khan Thomas Daniel Seers Bilal Mansoor | 2023 | Bioactive Materials2023，，10： | 0 |
| 19 | A Perfect Knob to Scale Thread Pool on Runtime显示文摘Scalability is one of the utmost nonfunctional requirement of server applications,because it maintains an effective performance parallel to the large fluctuating and sometimes unpredictable workload.In order to achieve scalability,thread pool system(TPS)has been used extensively as a middleware service in server applications.The size of thread pool is the most significant factor,that affects the overall performance of servers.Determining the optimal size of thread pool dynamically on runtime is a challenging problem.The most widely used and simple method to tackle this problem is to keep the size of thread pool equal to the request rate,i.e.,the frequencyoriented thread pool(FOTP).The FOTPs are the most widely used TPSs in the industry,because of the implementation simplicity,the negligible overhead and the capability to use in any system.However,the frequency-based schemes only focused on one aspect of changes in the load,and that is the fluctuations in request rate.The request rate alone is an imperfect knob to scale thread pool.Thus,this paper presents a workload profiling based FOTP,that focuses on request size(service time of request)besides the request rate as a knob to scale thread pool on runtime,because we argue that the combination of both truly represents the load fluctuation in server-side applications.We evaluated the results of the proposed system against state of the art TPS of Oracle Corporation(by a client-server-based simulator)and concluded that our system outperformed in terms of both;the response times and throughput. | Faisal Bahadur Arif Iqbal Umar Insaf Ullah Fahad Algarni Muhammad Asghar Khan Samih M.Mostafa | 2022 | Computers, Materials & Continua2022，，7： | 0 |
| 20 | Multi Sensor-Based Implicit User Identification显示文摘Smartphones have ubiquitously integrated into our home and work environments,however,users normally rely on explicit but inefficient identification processes in a controlled environment.Therefore,when a device is stolen,a thief can have access to the owner’s personal information and services against the stored passwords.As a result of this potential scenario,this work proposes an automatic legitimate user identification system based on gait biometrics extracted from user walking patterns captured by smartphone sensors.A set of preprocessing schemes are applied to calibrate noisy and invalid samples and augment the gait-induced time and frequency domain features,then further optimized using a non-linear unsupervised feature selection method.The selected features create an underlying gait biometric representation able to discriminate among individuals and identify them uniquely.Different classifiers are adopted to achieve accurate legitimate user identification.Extensive experiments on a group of 16 individuals in an indoor environment show the effectiveness of the proposed solution:with 5 to 70 samples per window,KNN and bagging classifiers achieve 87–99%accuracy,82–98%for ELM,and 81–94%for SVM.The proposed pipeline achieves a 100%true positive and 0%false-negative rate for almost all classifiers. | Muhammad Ahmad Rana Aamir Raza Manuel Mazzara Salvatore Distefano Ali Kashif Bashir Adil Khan Muhammad Shahzad Sarfraz Muhammad Umar Aftab | 2021 | Computers, Materials & Continua2021，，8： | 0 |
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