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Mutagenic and cytotoxic potential of Endosulfan and Lambda-cyhalothrin—In vitro study describing individual and combined effects of pesticides

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Journal of Environmental Sciences 2014年第7期26卷 1471-1479页

作者： Umber Saleem Sohail Ejaz muhammad Ashraf muhammad ovais omer Imran Iltaf Zainab Batool Riffat Fatima Msbah Afzal Department of Pharmacology & Toxicology University of Veterinary and Animal Sciences Lahore 54000 Pakistan Department of Clinical Neurosciences Neurology Unit Addenbrooke's Hospital University of Cambridge Cambridge UK Microbiology Section Quality Operations Laboratory University of Veterinary and Animal Sciences Lahore Pakistan

Excessive use of pesticides poses increased risks to non target species including humans. In the developing countries, lack of proper awareness about the toxic potential of pesticides makes the farmer more vulnerable to pesticide linked toxicities, which could lead to diverse pathological conditions. The toxic potential of a pesticide could be determined by their ability to induce genetic mutations and cytotoxicity. Hence, determination of genetic mutation and cytotoxicity of each pesticide is unavoidable to legislate health and safety appraisal about pesticides. The objective of current investigation was to determine the genotoxic and cytotoxic potential of Endosulfan（EN） and Lambda-cyhalothrin（LC）; individually and in combination. 3-（4,5-Dimethylthiazol-2-yl）-2,5-Diphenyltetrazolium Bromide（MTT） assay was utilized to determine cytotoxicity, while two mutant histidine dependent Salmonella strains（TA98, TA100） were used to determine the mutagenicity of EN and ***, mutagenicity assay was conducted with and without S9 to evaluate the effects of metabolic activation on mutagenicity. Even though a dose dependent increase in the number of revertant colonies was detected with EN against both bacterial strains, a highly significant（p 〈 0.05） increase in the mutagenicity was detected in TA98 with S9. In comparison, data obtained from LC revealed less mutagenic potential than EN. Surprisingly,the non-mutagenic individual-concentrations of EN and LC showed dose dependent mutagenicity when combined. Combination of EN and LC synergistically induced mutagenicity both in TA98 and TA100. MTT assay spotlighted comparable dose dependent cytotoxicity effects of both pesticides. Interestingly, the combination of EN and LC produced increased reversion and cytotoxicity at lower doses as compared to each pesticide, concluding that pesticide exposure even at sub-lethal doses can produce cytotoxicity and genetic mutations, which could lead to carcinogenicity.

关键词： Endosulfan Lambda-cyhalothrin Mutagenicity Cytotoxicity

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Elevating Image Steganography:A Fusion of MSB Matching and LSB Substitution for Enhanced Concealment Capabilities

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Computers, Materials & Continua 2024年第5期79卷 2923-2943页

作者： muhammad Zaman Ali omer Riaz Hafiz muhammad Hasnain Waqas Sharif Tenvir Ali Gyu Sang Choi Department of Information Technology The Islamia University of BahawalpurBahawalpur63100Pakistan Department of Computer Science The Islamia University of BahawalpurBahawalpur63100Pakistan School of Computer Science and Engineering Yeungnam UniversityGyeongbuk38541Korea

In today’s rapidly evolving landscape of communication technologies,ensuring the secure delivery of sensitive data has become an essential *** overcome these difficulties,different steganography and data encryption methods have been proposed by researchers to secure *** of the proposed steganography techniques achieve higher embedding capacities without compromising visual imperceptibility using LSB *** this work,we have an approach that utilizes a combinationofMost SignificantBit(MSB)matching andLeast Significant Bit(LSB)*** proposed algorithm divides confidential messages into pairs of bits and connects them with the MSBs of individual pixels using pair matching,enabling the storage of 6 bits in one pixel by modifying a maximum of three *** proposed technique is evaluated using embedding capacity and Peak Signal-to-Noise Ratio(PSNR)score,we compared our work with the Zakariya scheme the results showed a significant increase in data concealment *** achieved results of ourwork showthat our algorithmdemonstrates an improvement in hiding capacity from11%to 22%for different data samples while maintaining a minimumPeak Signal-to-Noise Ratio(PSNR)of 37 *** findings highlight the effectiveness and trustworthiness of the proposed algorithm in securing the communication process and maintaining visual integrity.

关键词： Steganography most significant bit(MSB) least significant bit(LSB) peak signal-to-noise ratio(PSNR)

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Early COVID-19 Symptoms Identification Using Hybrid Unsupervised Machine Learning Techniques

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Computers, Materials & Continua 2021年第10期69卷 747-766页

作者： omer Ali Mohamad Khairi Ishak muhammad Kamran Liaquat Bhatti School of Electrical and Electronic Engineering Universiti Sains Malaysia(USM)Nibong Tebal14300Malaysia Department of Electrical Engineering NFC Institute of Engineering and Technology(NFC IET)Multan60000Pakistan

The COVID-19 virus exhibits pneumonia-like symptoms,including fever,cough,and shortness of breath,and may be *** COVID-19 contraction experiments require comprehensive clinical procedures at medical *** studies help to make a correct diagnosis of COVID-19,where the disease has already spread to the organs in most *** and early diagnosis is indispensable for providing patients with the possibility of early clinical diagnosis and slowing down the disease ***,clinical investigations in patients with COVID-19 have revealed distinct patterns of breathing relative to other diseases such as flu and cold,which are worth *** supervised Machine Learning(ML)based techniques mostly investigate clinical reports such as X-Rays and Computerized Tomography(CT)for disease *** strategy relies on a larger clinical dataset and does not focus on early symptom *** this end,an innovative hybrid unsupervised ML technique is introduced to uncover the probability of COVID-19 occurrence based on the breathing patterns and commonly reported symptoms,fever,and ***,various metrics,including body temperature,breathing and cough patterns,and physical activity,were considered in this ***,a lightweight ML algorithm based on the K-Means and Isolation Forest technique was implemented on relatively small data including 40 *** proposed technique shows an outlier detection with an accuracy of 89%,on average.

关键词： COVID-19 symptoms identification machine learning isolation forest k-means

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A Machine Learning Approach for Early COVID-19 Symptoms Identification

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Computers, Materials & Continua 2022年第2期70卷 3803-3820页

作者： omer Ali Mohamad Khairi Ishak muhammad Kamran Liaquat Bhatti School of Electrical and Electronic Engineering Universiti Sains Malaysia(USM)Nibong Tebal14300PenangMalaysia Department of Electrical Engineering NFC Institute of Engineering and Technology(NFC IET)Multan60000Pakistan

Symptom identification and early detection are the first steps towards a health condition ***-19 virus causes pneumonialike symptoms such as fever,cough,and shortness of ***-19 contraction tests necessitate extensive clinical protocols in medical *** studies help with the accurate analysis of COVID-19,where the virus has already spread to the lungs in most *** majority of existing supervised machine learning-based disease detection techniques are based on clinical data like x-rays and computerized *** is heavily reliant on a larger clinical study and does not emphasize early symptom *** aim of this study is to investigate anomalies in patient physiological data for early COVID-19 symptoms *** this context,two of the most prevalent symptoms,fever and cough,were examined in a two-fold manner utilizing an unsupervised machine *** examine disease progression,physiological features from a chest-worn device were ***,a Single Vector Activity Index(SVAI)parameter is proposed to monitor the breathing and cough ***,the dataset’s variance is examined using the DBSCAN method for clustering and outlier ***,the model accuracy is evaluated to identify outliers on real-time data based on feature dissimilarities,yielding an overall detection accuracy of 90.34%.

关键词： COVID-19 symptoms identification machine learning dbscan

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Phage capsid nanoparticles as multivalent inhibitors of viral infections

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Science Bulletin 2020年第24期65卷 2050-2052,M0004页

作者： Manzar Abbas muhammad ovais Chunying Chen Institute for Molecules and Materials Radboud UniversityNijmegen 6525 AJthe Netherlands CAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety CAS Center for Excellence in NanoscienceNational Center for Nanoscience and TechnologyBeijing 100190China Center of Materials Science and Optoelectronics Engineering University of Chinese Academy of SciencesBeijing 100049China GBA Research Innovation Institute for Nanotechnology Guangzhou 510700China

In the present time, coronavirus disease COVID-19 has become prevalent across the globe and declared as a pandemic by the world health organization(WHO) [1]. As of now, many vaccines and medicines are in the approval process or at different stages of preclinical investigations to coup with the COVID-19 [2]. Coronavirus has a spike protein, which tends to bind with receptors present in the lung tissues, and that helps in its entry to the cells and replication inside [3]. Therefore, we are in need to design the multivalent nanomaterials, which can act as receptors to bind with spike protein of virus and stop its replication(Fig. 1).

关键词：病毒感染衣壳 lung

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Extension of Direct Citation Model Using In-Text Citations

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Computers, Materials & Continua 2021年第3期66卷 3121-3138页

作者： Abdul Shahid muhammad Tanvir Afzal muhammad Qaiser Saleem M.S.Elsayed Idrees Majzoob K.omer Institute of Computing Kohat University of Science and TechnologyKohat26000Pakistan Department of Computer Science NAMAL InstituteMianwali42250Pakistan College of Computer Science and Information Technology Albaha UniversityAl BahaSaudi Arabia

Citations based relevant research paper recommendations can be generated primarily with the assistance of three citation models:(1)Bibliographic Coupling,(2)Co-Citation,and(3)Direct *** of new scholarly articles are published every *** flux of scientific information has made it a challenging task to devise techniques that could help researchers to find the most relevant research papers for the paper at *** this study,we have deployed an in-text citation analysis that extends the Direct Citation Model to discover the nature of the relationship degree-ofrelevancy among scientific *** this purpose,the relationship between citing and cited articles is categorized into three categories:weak,medium,and *** an experiment,around 5,000 research papers were crawled from the *** research papers were parsed for the identification of in-text citation ***,0.1 million references of those articles were extracted,and their in-text citation frequencies were computed.A comprehensive benchmark dataset was established based on the user ***,the results were validated with the help of Least Square Approximation by Quadratic Polynomial *** was found that degreeof-relevancy between scientific papers is a quadratic increasing/decreasing polynomial with respect to-increase/decrease in the in-text citation frequencies of a cited ***,the results of the proposed model were compared with state-of-the-art techniques by utilizing a well-known measure,known as the normalized Discount Cumulative Gain(nDCG).The proposed method received an nDCG score of 0.89,whereas the state-of-the-art models such as the Content,Bibliographic-coupling,and Metadata-based Models were able to acquire the nDCG values of 0.65,0.54,and 0.51 *** results indicate that the proposed mechanism may be applied in future information retrieval systems for better results.

关键词： Direct citation model in-text citations frequencies normalized discount cumulative gain least square approximation

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New Discovery of Hipparion theobaldi Skull from the Late Miocene of Padhri,District Jhelum,Punjab,Pakistan and Associated Mammalian Fossil Assemblage

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Acta Geologica Sinica(English Edition) 2022年第4期96卷 1150-1165页

作者： Khizar SAMIULLAH omer DRAZ Riffat YASIN Bilal RASOOL Hafiz muhammad ISHAQ muhammad HARIS AZIZ Rana MEHROZ FAZAL Shakila NAZ Tehreem RAZA Romesa NIAZI Department of Zoology Ghazi UniversityDera Ghazi Khan 32200Pakistan Department of Zoology Government College UniversityFaisalabad 3800Pakistan Department of Fisheries and Aquaculture Faculty of Veterinary and Animal SciencesMNSUAMultan 06005Pakistan Dragon Animal Care Center Doha 00000Qatar

A fossil-bearing locality near Padhri village,Dhok Pathan,55 km away from the tehsil Dina,Jhelum District,in the Potwar Plateau,Middle Siwaliks,Punjab,northern Pakistan,is significantly rich in mammalian *** site has provided an abundant mammalian fossil fauna of Late Miocene age from the Dhok Pathan Formation(Fm.).The recovered material belongs to four families:Equidae(horses),Rhinocerotidae(rhinos),Bovidae(cows),and Suidae(pigs).We discovered a new skull of hipparionine Hipparion theobaldi from this locality along with 22 specimens from the associated assemblage of fossil *** recovered material includes seven other species:the aceratheriine Chilotherium intermedium,boselaphines Tragoportax punjabicus,Selenoportax vexillarius,Pachyportax latidens,the antelope Gazella lydekkeri and suinine Propotamochoerus *** specimens are isolated teeth,fragments of maxilla,mandibles and horn *** Dhok Pathan *** generally composed of claystone,siltstone and sandstone beds and,based on the mammalian fauna,the Padhri fossil locality is dated as Late ***99 s formation was deposited in a subtropical paleoenvironment and the predominance of fossil bovids indicates extremely moist conditions with small but frequent standing water bodies.

关键词： vertebrate paleontology mammals fossil horses Dhok Pathan Formation Siwaliks Punjab

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Advances in engineered Bacillus subtilis biofilms and spores, and their applications in bioremediation, biocatalysis, and biomaterials

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Synthetic and Systems Biotechnology 2021年第3期6卷 180-191页

作者： muhammad Zubair Mohsin Rabia omer Jiaofang Huang Ali Mohsin Meijin Guo Jiangchao Qian Yingping Zhuang State Key Laboratory of Bioreactor Engineering East China University of Science and TechnologyShanghai 200237PR China

Bacillus subtilis is a commonly used commercial specie with broad applications in the fields of bioengineering and *** is capable of producing both biofilms and *** are matrix-encased multicellular communities that comprise various components including exopolysaccharides,proteins,extracellular DNA,and poly-γ-glutamic *** biofilms resist environmental conditions such as oxidative stress and hence have applications in bioremediation ***,biofilms and spores can be engineered through biotechnological techniques for environmentally-friendly and safe production of bio-products such as *** ability to withstand with harsh conditions and producing spores makes Bacillus a suitable candidate for surface display *** recent years,the spores of such specie are widely used as it is generally regarded as safe to *** in synthetic biology have enabled the reprogramming of biofilms to improve their functions and enhance the production of value-added ***,there is increased interest in the production of engineered biosensors,biocatalysts,and *** elastic modulus and gel properties of *** biofilms have been utilized to develop living *** review outlines the formation of *** biofilms and *** engineering processes and their increasing application in bioremediation and biocatalysis,as well as the future directions of *** biofilm engineering,are ***,the ability of *** biofilms and spores to fabricate functional living materials with self-regenerating,self-regulating and environmentally responsive characteristics has been *** review aims to resume advances in biological engineering of *** biofilms and spores and their applications.

关键词： Bacillus subtilis Biofilms Spores Biocatalysis Bioremediation Biomaterials Synthetic biology

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Salinity Stress in Wheat:Effects,Mechanisms and Management Strategies

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Phyton-International Journal of Experimental Botany 2022年第4期91卷 667-694页

作者： 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 Plant Production Department College of Food and Agriculture SciencesKing Saud UniversityRiyadh11451Saudi Arabia Department of Crop Sciences Faculty of AgricultureMenoufia UniversityShibin El-kom32514Egypt Department of Agronomy University of AgricultureFaisalabad38040Pakistan Biology Department College of Science and Humanity StudiesPrince Sattam Bin Abdulaziz UniversityRiyadh11942Saudi Arabia Research Center on Ecological Sciences Jiangxi Agricultural UniversityNanchang330045China Department of Agricultural Sciences and Technology School of Agriculture and Enterprise DevelopmentKenyatta UniversityNairobi00100Kenya Department of Field Crops Faculty of AgricultureUniversity of Sutcu ImamKahramanmaras46040Turkey Department of Agroforestry&Environmental Science Faculty of AgricultureSylhet Agricultural UniversitySylhet3100Bangladesh Department of Animal Sciences Cornell UniversityIthaca14850USA

Salinity stress is a major threat to global food production and its intensity is continuously increasing because of anthropogenic *** is a staple food and a source of carbohydrates and calories for the majority of people across the ***,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 ***,a better understanding of wheat(plant)behavior to salinity stress has essential implications to devise counter and alleviation measures to cope with salt *** approaches including the selection of suitable cultivars,conventional breeding,and molecular techniques can be used for facing salt stress ***,these techniques are tedious,costly,and *** practices are still helpful to improve the wheat performance under salinity *** 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 *** 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.

关键词： Breeding techniques oxidative stress photosynthesis phyto-hormones salinity stress wheat

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A Neuro-Fuzzy Approach to Road Traffic Congestion Prediction

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Computers, Materials & Continua 2022年第10期73卷 295-310页

作者： Mohammed Gollapalli Atta-ur-Rahman Dhiaa Musleh Nehad Ibrahim muhammad Adnan Khan Sagheer Abbas Ayesha Atta muhammad Aftab Khan Mehwash Farooqui Tahir Iqbal Mohammed Salih Ahmed Mohammed Imran BAhmed Dakheel Almoqbil Majd Nabeel Abdullah omer Department of Computer Information System(CIS) College of Computer Science and Information Technology(CCSIT)Imam Abdulrahman Bin Faisal UniversityDammam31441Saudi Arabia Department of Computer Science(CS) College of Computer Science and Information Technology(CCSIT)Imam Abdulrahman Bin Faisal UniversityDammam31441Saudi Arabia Pattern Recognition and Machine Learning Lab Department of Software EngineeringGachon UniversityInchonKorea Department of Computer Science National College of Business Administration and EconomicsLahorePunjab54000Pakistan Department of Computer Science Government College University(GCU)LahorePunjab54000Pakistan Department of Computer Engineering(CE) College of Computer Science and Information Technology(CCSIT)Imam Abdulrahman Bin Faisal UniversityDammam31441Saudi Arabia College of Business Administration Imam Abdulrahman Bin Faisal UniversityDammam31441Saudi Arabia Department of Networks and Communications(NC) College of Computer Science and Information Technology(CCSIT)Imam Abdulrahman Bin Faisal UniversityDammam31441Saudi Arabia

The fast-paced growth of artificial intelligence applications provides unparalleled opportunities to improve the efficiency of various *** as the transportation sector faces many obstacles following the implementation and integration of different vehicular and environmental aspects *** congestion is among the major issues in this regard which demands serious attention due to the rapid growth in the number of vehicles on the *** address this overwhelming problem,in this article,a cloudbased intelligent road traffic congestion prediction model is proposed that is empowered with a hybrid Neuro-Fuzzy *** aim of the study is to reduce the delay in the queues,the vehicles experience at different road junctions across the *** proposed model also intended to help the automated traffic control systems by minimizing the congestion particularly in a smart city environment where observational data is obtained from various implanted Internet of Things(IoT)sensors across the *** due preprocessing over the cloud server,the proposed approach makes use of this data by incorporating the neuro-fuzzy ***,it possesses a high level of accuracy by means of intelligent decision making with minimum error *** results reveal the accuracy of the proposed model as 98.72%during the validation phase in contrast to the highest accuracies achieved by state-of-the-art techniques in the literature such as 90.6%,95.84%,97.56%and 98.03%,*** far as the training phase analysis is concerned,the proposed scheme exhibits 99.214% accuracy. The proposed prediction modelis a potential contribution towards smart cities environment.

关键词： Neuro-fuzzy machine learning congestion prediction AI cloud computing smart cities

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