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| 1 | Synergistic antibacterial effect of honey and Herba Ocimi Basilici against some bacterial pathogens显示文摘OBJECTIVE: To evaluate the antibacterial activity of the combination of different honey brands and methanolic fraction of Herba Ocimi Basilici using agar well diffusion assay. METHODS: The antibacterial activity was determined against thirteen pathogenic bacterial clinical isolates including six gram negative(Klebsiella pneumonia, Pseudomonas aeroginosa, Escherichia coli, Salmonella typhi, Salmonella typhimirium, Xanthomonas campestris) and six gram positive strains(Enterococcus faecalis faecalis, Bacillus subtilis, Staphylococcus aureus, Clostridium perfringens type C, Clostridium perfringens type D, Clostridium chauvoei). Agar well diffusion method was used while zones of inhibition were measured with vernier scale. RESULTS: At higher concentration, all the honey brands showed good to significant activity. The highest activity was observed for Hamdard brand honey(27.60±0.40) against Enterococcus faecalis. CONCLUSION: These results revealed that combinations of plant extracts of Herba Ocimi Basilici with honey can be used for the development of potent and novel antibacterial agents. | Ali Talha Khalil Imran Khan Kafeel Ahmad Yusra Ali Khan Momin Khan Muhammad Jaseem Khan | 2013 | Journal of Traditional Chinese Medicine2013，33，6： | 4 |
| 2 | Reconfigurable intelligent surface-aided wireless communications: An overview显示文摘The reconfigurable intelligent surface(RIS)is an emerging technology,which will hopefully bring a new revolution in wireless communications.The RIS technology can be deployed in an indoor/outdoor environment to dynamically manipulate the propagation environment.The RIS consists of a large number of independently controllable passive elements,and these elements are involved in realizing high passive beamforming gain.Different from the conventional active phased antenna array,there is no dedicated radio-frequency(RF)chain installed at the RIS to perform complex signal processing operations.Therefore,it does not incur additional noise while retransmitting the incident wave,which is substantially a unique feature from the conventional wireless communication systems.Taking advantage of its working principle,RIS has been deployed in various practical scenarios.In this tutorial,at first we will review the latest advances in RIS,including the application scenarios such as the system and channel model,the information theoretic analysis,the physical realization and design,key signal processing techniques such as precoding and channel estimation,and prototyping.Finally,we discuss interesting future research problems for the RIS-aided communications. | Muhammad Zain Siddiqi Talha Mir | 2022 | Intelligent and Converged Networks2022，3，1： | 3 |
| 3 | Salinity Stress in Wheat:Effects,Mechanisms and Management Strategies显示文摘Salinity stress is a major threat to global food production and its intensity is continuously increasing because of anthropogenic activities.Wheat is a staple food and a source of carbohydrates and calories for the majority of people across the globe.However,wheat productivity is adversely affected by salt stress,which is associated with a reduction in germination,growth,altered reproductive behavior and enzymatic activity,disrupted photosynthesis,hormonal imbalance,oxidative stress,and yield reductions.Thus,a better understanding of wheat(plant)behavior to salinity stress has essential implications to devise counter and alleviation measures to cope with salt stress.Different approaches including the selection of suitable cultivars,conventional breeding,and molecular techniques can be used for facing salt stress tolerance.However,these techniques are tedious,costly,and labor-intensive.Management practices are still helpful to improve the wheat performance under salinity stress.Use of arbuscular mycorrhizal fungi,plant growth-promoting rhizobacteria,and exogenous application of phytohormones,seed priming,and nutrient management are important tools to improve wheat performance under salinity stress.In this paper,we discussed the effect of salinity stress on the wheat crop,possible mechanisms to deal with salinity stress,and management options to improve wheat performance under salinity conditions. | Mahmoud F.Seleiman Muhammad Talha Aslam Bushra Ahmed Alhammad MuhammadUmair Hassan Rizwan Maqbool Muhammad Umer Chattha Imran Khan Harun Ireri Gitari Omer S.Uslu Rana Roy Martin Leonardo Battaglia | 2022 | Phyton-International Journal of Experimental Botany2022，91，4： | 1 |
| 4 | A Grid-tied PV Inverter with Sag-severity-independent Low-voltage Ride Through, Reactive Power Support, and Islanding Protection显示文摘This paper proposes a grid-tied photovoltaic(PV)inverter capable of low-voltage ride through(LVRT), reactive power support, and islanding protection. Unlike other LVRT inverters, the proposed inverter is independent of sag severity while maintaining the maximum power-point tracking(MPPT)under normal and faulty conditions. The addition of an energy storage buffer stage mitigates the DC-link voltage surge during sags. At the same time, the inverter injects the reactive power during back-to-back sags of variable depths. The control system of the inverter generates the appropriate reference signals for normal, LVRT, and anti-islanding modes while the MPPT continues running. The salient features of the proposed inverter are:(1) active power injection under normal grid conditions;(2)sag-depth independent LVRT with reactive power support;(3)no DC-link fluctuations;(4) continuous MPPT mode;and(5) simultaneous LVRT and anti-islanding support during a grid outage. The inverter demonstrates an uninterrupted operation and seamless transition between various operating modes. Simulations and the experimental prototype have been implemented to validate the efficacy of the proposed PV inverter. | Muhammad Talha Siti Rohani S.Raihan Nasrudin Abd.Rahim | 2021 | Journal of Modern Power Systems and Clean Energy2021，9，6： | 1 |
| 5 | An Intent-Driven Closed-Loop Platform for 5G Network Service Orchestration显示文摘The scope of the 5G network is not only limited to the enhancements in the form of the quality of service(QoS),but it also includes a wide range of services with various requirements.Besides this,many approaches and platforms are under the umbrella of 5G to achieve the goals of endto-end service provisioning.However,the management of multiple services over heterogeneous platforms is a complex task.Each platform and service have various requirements to be handled by domain experts.Still,if the next-generation network management is dependent on manual updates,it will become impossible to provide seamless service provisioning in runtime.Since the traffic for a particular type of service varies significantly over time,automatic provisioning of resources and orchestration in runtime need to be integrated.Besides,with the increase in the number of devices,amount,and variety of traffic,the management of resources with optimization becomes a challenging task.To this end,this manuscript provides a solution that automates the management and service provisioning through multiple platforms while assuring various aspects,including automation,resource management and service assurance.The solution consists of an intent-based system that automaticallymanages different orchestrators,and eliminates manual control by abstracting the complex configuration requirements into simple and generic contracts.The proposed systemconsiders handling the scalability of resources in runtime by usingMachine Learning(ML)to automate and optimize service resource utilization. | Talha Ahmed Khan Khizar Abbas Afaq Muhammad Wang-Cheol Song | 2022 | Computers, Materials & Continua2022，，3： | 1 |
| 6 | Ensembles of Deep Learning Framework for Stomach Abnormalities Classification显示文摘Abnormalities of the gastrointestinal tract are widespread worldwide today.Generally,an effective way to diagnose these life-threatening diseases is based on endoscopy,which comprises a vast number of images.However,the main challenge in this area is that the process is time-consuming and fatiguing for a gastroenterologist to examine every image in the set.Thus,this led to the rise of studies on designingAI-based systems to assist physicians in the diagnosis.In several medical imaging tasks,deep learning methods,especially convolutional neural networks(CNNs),have contributed to the stateof-the-art outcomes,where the complicated nonlinear relation between target classes and data can be learned and not limit to hand-crafted features.On the other hand,hyperparameters are commonly set manually,which may take a long time and leave the risk of non-optimal hyperparameters for classification.An effective tool for tuning optimal hyperparameters of deep CNNis Bayesian optimization.However,due to the complexity of the CNN,the network can be regarded as a black-box model where the information stored within it is hard to interpret.Hence,Explainable Artificial Intelligence(XAI)techniques are applied to overcome this issue by interpreting the decisions of the CNNs in such wise the physicians can trust.To play an essential role in real-time medical diagnosis,CNN-based models need to be accurate and interpretable,while the uncertainty must be handled.Therefore,a novel method comprising of three phases is proposed to classify these life-threatening diseases.At first,hyperparameter tuning is performed using Bayesian optimization for two state-of-the-art deep CNNs,and then Darknet53 and InceptionV3 features are extracted from these fine-tunned models.Secondly,XAI techniques are used to interpret which part of the images CNN takes for feature extraction.At last,the features are fused,and uncertainties are handled by selecting entropybased features.The experimental results show that the proposed method outperforms existing methods by achieving an accuracy of 97%based on a Bayesian optimized Support Vector Machine classifier. | Talha Saeed Chu Kiong Loo Muhammad Shahreeza Safiruz Kassim | 2022 | Computers, Materials & Continua2022，，3： | 1 |
| 7 | A review on protein based nanocarriers for polyphenols:interaction and stabilization mechanisms显示文摘Protein has been used as the carrier for protecting and targeting polyphenols and increasing their shelf-life.Interactions of a protein molecule with polyphenols are important,which change functions and physiochemical properties of the complex and provide protection to polyphenols.Interactions between proteins and polyphenols are largely non-covalent.Factors that affect such interactions include pH,temperature,and the structure of both proteins and polyphenols.Moreover,excellent stability of polyphenols can be achieved by using nanoencapsulation techniques such as emulsion,nanohydrogel,and nanocomplex formation.The use of protein combined with other compounds such as lipids and carbohydrates was found to be the most suitable carrier for polyphenols encapsulation.This review aims to describe the interaction between proteins and polyphenols,focusing on applying nanoencapsulation for increasing stability and targeted delivery of phenolic compounds. | Yun Xiao Talha Ahmad Tarun Belwal Rana Muhammad Aadil Muhammad Siddique Limin Pang Yanqun Xu | 2023 | Food Innovation and Advances2023，2，3： | 0 |
| 8 | Disease Diagnosis System Using IoT Empowered with Fuzzy Inference System显示文摘Disease diagnosis is a challenging task due to a large number of associated factors.Uncertainty in the diagnosis process arises frominaccuracy in patient attributes,missing data,and limitation in the medical expert’s ability to define cause and effect relationships when there are multiple interrelated variables.This paper aims to demonstrate an integrated view of deploying smart disease diagnosis using the Internet of Things(IoT)empowered by the fuzzy inference system(FIS)to diagnose various diseases.The Fuzzy Systemis one of the best systems to diagnose medical conditions because every disease diagnosis involves many uncertainties,and fuzzy logic is the best way to handle uncertainties.Our proposed system differentiates new cases provided symptoms of the disease.Generally,it becomes a time-sensitive task to discriminate symptomatic diseases.The proposed system can track symptoms firmly to diagnose diseases through IoT and FIS smartly and efficiently.Different coefficients have been employed to predict and compute the identified disease’s severity for each sign of disease.This study aims to differentiate and diagnose COVID-19,Typhoid,Malaria,and Pneumonia.This study used the FIS method to figure out the disease over the use of given data related to correlating with input symptoms.MATLAB tool is utilised for the implementation of FIS.Fuzzy procedure on the aforementioned given data presents that affectionate disease can derive from the symptoms.The results of our proposed method proved that FIS could be utilised for the diagnosis of other diseases.This study may assist doctors,patients,medical practitioners,and other healthcare professionals in early diagnosis and better treat diseases. | Talha Mahboob Alam Kamran Shaukat Adel Khelifi Wasim Ahmad Khan Hafiz Muhammad Ehtisham Raza Muhammad Idrees Suhuai Luo Ibrahim A.Hameed | 2022 | Computers, Materials & Continua2022，，3： | 0 |
| 9 | 黑芝麻种质资源苗期耐渍性鉴定及评价显示文摘【目的】渍害是影响黑芝麻生长的主要障碍因素之一,鉴定黑芝麻种质资源苗期耐渍性,确定可靠的评价指标,为耐渍黑芝麻品种的选育和栽培提供理论依据。【方法】以52份黑芝麻种质资源为试验材料,设置苗期渍水7 d处理,测定存活率、株高和根长等7个苗期指标,计算各指标的耐渍系数,采用主成分分析、隶属函数分析、聚类分析、相关性分析和逐步回归分析,将不同黑芝麻种质资源进行耐渍性综合评价及指标筛选。【结果】主成分分析法将7个指标简化为4个相互独立的综合指标,能够包含全部信息的79.25%;利用隶属函数法计算耐渍性综合评价值,并对其进行聚类分析,将52份黑芝麻品种划分为三大类,第一类为高度耐渍品种共5份,第二类为中度耐渍品种共39份,第三类为渍害敏感品种共8份。相关性分析表明株高、根长、地上部生物量和地下部生物量为综合评价值的主要影响因子,且各指标间也有不同程度的相关性。利用回归分析法建立芝麻苗期耐渍性预测模型,并从7个鉴定指标中筛选出株高、根长、地上部生物量和地下部生物量4个关键指标。【结论】都昌黑芝麻、鄱阳黑芝麻、多蒴黑芝麻、星子黑芝麻和17-50为高度耐渍品种。株高、根长、地上部生物量和地下部生物量可作为快速鉴定芝麻苗期的耐渍性的关键指标。 | 万泽华 华之梦 王敏 Muhammad Talha Aslam 沈庭海 卢维娜 何斌 方圣 吴自明 | 2024 | 江西农业大学学报2024，46，1： | 0 |
| 10 | DeepSVDNet:A Deep Learning-Based Approach for Detecting and Classifying Vision-Threatening Diabetic Retinopathy in Retinal Fundus Images显示文摘Artificial Intelligence(AI)is being increasingly used for diagnosing Vision-Threatening Diabetic Retinopathy(VTDR),which is a leading cause of visual impairment and blindness worldwide.However,previous automated VTDR detection methods have mainly relied on manual feature extraction and classification,leading to errors.This paper proposes a novel VTDR detection and classification model that combines different models through majority voting.Our proposed methodology involves preprocessing,data augmentation,feature extraction,and classification stages.We use a hybrid convolutional neural network-singular value decomposition(CNN-SVD)model for feature extraction and selection and an improved SVM-RBF with a Decision Tree(DT)and K-Nearest Neighbor(KNN)for classification.We tested our model on the IDRiD dataset and achieved an accuracy of 98.06%,a sensitivity of 83.67%,and a specificity of 100%for DR detection and evaluation tests,respectively.Our proposed approach outperforms baseline techniques and provides a more robust and accurate method for VTDR detection. | Anas Bilal Azhar Imran Talha Imtiaz Baig Xiaowen Liu Haixia Long Abdulkareem Alzahrani Muhammad Shafiq | 2024 | Computer Systems Science & Engineering2024，48，2： | 0 |
| 11 | 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 |
| 12 | Prediction of promiscuous T-cell epitopes in the Zika virus polyprotein:An in silico approach显示文摘Objective:To predict immunogenic promiscuous T-cell epitopes from the polyprotein of the Zika virus using a range of bioinformatics tools.To date,no epitope data are available for the Zika virus in the IEDB database.Methods:We retrieved nearly 54 full length polyprotein sequences of the Zika virus from the NCBI database belonging to different outbreaks.A consensus sequence was then used to predict the promiscuous T cell epitopes that bind MHC 1 and MHC II alleles using Propred1 and Propred immunoinformatic algorithms respectively.The antigencity predicted score was also calculated for each predicted epitope using the Vaxi Jen 2.0 tool.Results:By using Pro Pred1,23 antigenic epitopes for HLA class I and 48 antigenic epitopes for HLA class II were predicted from the consensus polyprotein sequence of Zika virus.The greatest number of MHC class I binding epitopes were projected within the NS5(21%),followed by Envelope(17%).For MHC class II,greatest number of predicted epitopes were in NS5(19%) followed by the Envelope,NS1 and NS2(17% each).A variety of epitopes with good binding affinity,promiscuity and antigenicity were predicted for both the HLA classes.Conclusion:The predicted conserved promiscuous T-cell epitopes examined in this study were reported for the first time and will contribute to the imminent design of Zika virus vaccine candidates,which will be able to induce a broad range of immune responses in a heterogeneous HLA population.However,our results can be verified and employed in future efficacious vaccine formulations only after successful experimental studies. | Hamza Dar Tahreem Zaheer Muhammad Talha Rehman Amjad Ali Aneela Javed Gohar Ayub Khan Mustafeez Mujtaba Babar Yasir Waheed | 2016 | Asian Pacific Journal of Tropical Medicine2016，9，9： | 0 |
| 13 | Access Hydrogen Production by Photolysis of K2CO3 Mixed Water显示文摘 | Muhammad Shahid Noriah Bidin Yacoob Mat Daud Muhammad Talha M. Inayat Ullah | 2011 | 材料科学与工程(中英文A版)2011，1，3X： | 0 |
| 14 | Efficacy and safety of thermobalancing therapy with Dr Allen’s Device for chronic low back pain:A randomised controlled trial显示文摘BACKGROUND Lumbar disc herniation and non-specific low back pain are common conditions that seriously affect patients’health-related quality of life(HRQoL).Although empirical evidence has demonstrated that novel Thermobalancing therapy and Dr Allen’s Device can relieve chronic low back pain,there have been no randomised controlled trials for these indications.AIM To evaluate the efficacy of Dr Allen’s Device in lumbar disc herniation(LDH)and non-specific low back pain(NSLBP).METHODS A randomised clinical trial was conducted investigating 55 patients with chronic low back pain due to LDH(n=28)or NSLBP(n=27),out of which 15 were randomly assigned to the control group and 40 were assigned to the treatment group.The intervention was treatment with Dr Allen’s Device for 3 mo.Changes in HRQoL were assessed using the Numerical Pain Rating Scale and the Japanese Orthopedic Association Back Pain Questionnaire.RESULTS Thermobalancing therapy with Dr Allen’s Device showed a significant reduction in pain in the treatment group(P<0.001),with no recorded adverse effects.Both pain assessment scales showed a significant improvement in patients’perception of pain indicating improvement in HRQoL.CONCLUSION The out-of-hospital use of Thermobalancing therapy with Dr Allen’s Device for Low Back Treatment relieves chronic low back pain significantly and without adverse effects,improves the level of activity and HRQoL among patients with LDH and NSLBP.This study demonstrates the importance of this safe first-line therapy that can be used for effective at-home management of chronic low back pain. | Simon Allen Abid Rashid Ariana Adjani Muhammad Akram Fahad Said Khan Rehan Sherwani Muhammad Talha Khalil | 2023 | World Journal of Orthopedics2023，14，12： | 0 |
| 15 | The Analysis of Unified Software Engineering Reuse (USER) Using Stable Analytical Model, Design of Structure and Architectural Patterns显示文摘 | Asad Ali Talha Arshad Muhammad Hammad Usman Raza Farhan Saeed | 2017 | Journal of Electrical Engineering2017，5，5： | 0 |
| 16 | Insecticidal Potential of α-Pinene and β-Caryophyllene against Myzus persicae and Their Impacts on Gene Expression显示文摘Myzus persicae(M.persicae)is now considered a threat to agricultural crops due to economic losses.Numerous synthetic insecticides applied every year against M.persicae,are reported to be unsafe for environment,humans,and beneficial insects.Furthermore,several species of Myzus have been found to develop resistance due to over application of these insecticides.Therefore,it is required to find some novel insecticide that would be safe for the environment as well as for humans.In the current study,two major pure constituentsα-pinene andβ-caryophyllene were evaluated for their insecticidal potential against M.persicae using a fumigant toxicity assay.Furthermore,impact ofα-pinene andβ-caryophyllene on expression of five different genes,e.g.,HSP 60,FPPS I,OSD,TOL and ANT responsible for reproduction,dispersion,and growth of M.persicae has also been investigated.To perform fumigant toxicity assay,five different concentrations(3.5,4,4.5,5 and 6μL L−1)ofα-pinene andβ-caryophyllene were prepared.Lethal concentration(LC)was calculated,and gene expression studies were executed through qRT PCR at LC30 ofα-pinene andβ-caryophyllene.Both constituents demonstrated excellent fumigant toxicity effects against M.persicae at all five concentrations.However,α-pinene shows significantly better results(98%)as compared toβ-caryophyllene(80%)after 72 h at 6μL L−1 of dose.The highest upregulation in expression was demonstrated at LC30 dose ofα-pinene in five in three out of five genes understudy(TOL,ANT,and FPPS I).Conversely,two genes HSP 60 and OSD demonstrated downregulation at LC30 dose ofβ-caryophyllene.Conclusively,our results highlighted the promising insecticidal potential of both compoundsα-pinene andβ-caryophylleneby interfering with the reproduction and development related processes in M.persicae,allowing us to recommend the phytoconstituents under investigation as an ecofriendly alternative to synthetic insecticides. | Talha Ali Chohan Tahir Ali Chohan Muhammad Zahid Mumtaz Muhammad Waqar Alam Salah ud Din Iqra Naseer Ayesha Riaz Tayyeba Naseem Areeba Iftikhar Dur ENajaf Ali Mubashir Hassan Hayssam M.Ali | 2023 | Phyton-International Journal of Experimental Botany2023，92，7： | 0 |
| 17 | A Hybrid Approach for Network Intrusion Detection显示文摘Due to the widespread use of the internet and smart devices,various attacks like intrusion,zero-day,Malware,and security breaches are a constant threat to any organization’s network infrastructure.Thus,a Network Intrusion Detection System(NIDS)is required to detect attacks in network traffic.This paper proposes a new hybrid method for intrusion detection and attack categorization.The proposed approach comprises three steps to address high false and low false-negative rates for intrusion detection and attack categorization.In the first step,the dataset is preprocessed through the data transformation technique and min-max method.Secondly,the random forest recursive feature elimination method is applied to identify optimal features that positively impact the model’s performance.Next,we use various Support Vector Machine(SVM)types to detect intrusion and the Adaptive Neuro-Fuzzy System(ANFIS)to categorize probe,U2R,R2U,and DDOS attacks.The validation of the proposed method is calculated through Fine Gaussian SVM(FGSVM),which is 99.3%for the binary class.Mean Square Error(MSE)is reported as 0.084964 for training data,0.0855203 for testing,and 0.084964 to validate multiclass categorization. | Mavra Mehmood Talha Javed Jamel Nebhen Sidra Abbas Rabia Abid Giridhar Reddy Bojja Muhammad Rizwan | 2022 | Computers, Materials & Continua2022，，1： | 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 | Improving Quantitative and Qualitative Characteristics of Wheat (Triticum aestivum L.) through Nitrogen Application under Semiarid Conditions显示文摘Nitrogen(N),the building block of plant proteins and enzymes,is an essential macronutrient for plant functions.A field experiment was conducted to investigate the impact of different N application rates(28,57,85,114,142,171,and 200 kg ha^(−1))on the performance of spring wheat(cv.Ujala-2016)during the 2017–2018 and 2018–2019 growing seasons.A control without N application was kept for comparison.Two years mean data showed optimum seed yield(5,461.3 kg ha^(−1))for N-application at 142 kg ha^(−1) whereas application of lower and higher rates of N did not result in significant and economically higher seed yield.A higher seed yield was obtained in the 2017–2018(5,595 kg ha^(−1))than in the 2018–2019(5,328 kg ha^(−1))growing seasons under an N application of 142 kg ha^(−1).It was attributed to the greater number of growing degree days in the first(1,942.35°C days)than in the second year(1,813.75°C).Higher rates of N(171 and 200 kg ha^(−1))than 142 kg ha^(−1) produced more number of tillers(i.e.,948,300 and 666,650 ha^(−1),respectively).However,this increase did not contribute in achieving higher yields.Application of 142,171,and 200 kg ha^(−1) resulted in 14.15%,15.0%and 15.35%grain protein concentrations in comparison to 13.15%with the application of 114 kg ha^(−1).It is concluded that the application of N at 142 kg ha^(−1) could be beneficial for attaining higher grain yields and protein concentrations of wheat cultivar Ujala-2016. | Muhammad Rafiq Muhammad Saqib Husnain Jawad Talha Javed Sadam Hussain Muhammad Arif Baber Ali Muhammad Sultan Ali Bazmi Ghulam Abbas Marjan Aziz Mohammad Khalid Al-Sadoon Aneela Gulnaz Sobhi F.Lamlom Muhammad Azeem Sabir Jameel Akhtar | 2023 | Phyton-International Journal of Experimental Botany2023，92，4： | 0 |
| 20 | Recent Developments to Mitigate Selenium Deficiency in Agricultural Eco-Systems显示文摘Under changing climate,trace elements like selenium(Se)have emerged as vital constituent of agro-ecosystems enabling crop plants to off-set the adverse effects of suboptimal growth conditions.The available form of selenium is important for boosting its bioavailability to crop plants having varied agro-botanical traits and root architectural systems.As compared to selenite,the selenate has a weaker soil bonding,higher absorption in the soil solution which results in a comparatively absorption by plant roots.Various factors including dry climate,high pH,optimal ambient air temperature,less accumulation of water,and low concentration of organic matter in the soil tend to boost the selenate ratio in the soil.The use of selenium pelleted seeds has emerged as an interesting and viable alternative to alleviate selenium deficiency in agricultural eco-systems.Similarly,the co-inoculation of a mixture of Selenobacteria and Arbuscular mycorrhizal fungi represents an evolving promising strategy for the bio-fortification of wheat plants to produce selenium-rich flour to supplement human dietary needs.Furthermore,in-depth research is required to assure the effectiveness of biological fertilization procedures in field conditions as well as to explore and increase our understanding pertaining to the underlying main mechanisms and channels of selenium absorption in plants.The focus of this review is to synthesize the recent developments on Se dynamics in soil-plant systems and emerging promising strategies to optimize its levels for crop plants.Recent developments regarding the use of micro-organisms as a biotechnological mean to enhance plant nutrition and crop quality have been objectively elaborated.The study becomes even more pertinent for arid and semi-arid agro-ecosystems owing to the potential role of selenium in providing stress tolerance to crop plants.Moreover,this review synthesizes and summarizes the recent developments on climate change and bioavailability,and the protective role of selenium in crop plants. | Misbah Naz Rubab Shabbir Krishan KVerma Anshu Rastogi Vishnu D.Rajput Talha Javed Muhammad Ammar Raza Kainat Asif Muhammad Aamir Iqbal Muhammad Imran Mohammad Sohidul Islam Khalid Rehman Hakeem MehmetFirat Baran Ayman EL Sabagh | 2022 | Phyton-International Journal of Experimental Botany2022，91，5： | 0 |
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