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Biochar potentially enhances maize tolerance to arsenic toxicity by improving physiological and biochemical responses to excessive arsenate

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Biochar 2023年第1期5卷 1222-1242页

作者： Md.Mezanur rahman Ashim Kumar Das Sharmin Sultana Protik Kumar Ghosh Md.Robyul Islam Sanjida Sultana Keya Minhaz Ahmed Sheikh Arafat Islam Nihad MdArifur rahman Khan Mylea C.Lovell Md.Abiar rahman S.M.Ahsan Touhidur rahman Anik Pallavi Fnu Lam-Son Phan Tran mohammad Golam Mostofa Department of Plant Soil ScienceInstitute of Genomics for Crop Abiotic Stress ToleranceTexas Tech UniversityLubbockTX 79409USA Department of Agroforestry EnvironmentBangabandhu Sheikh Mujibur Rahman Agricultural UniversityGazipur 1706Bangladesh Institute of Biotechnology and Genetic Engineering(IBGE) Bangabandhu Sheikh Mujibur Rahman Agricultural UniversityGazipur 1706Bangladesh Department of Agronomy Bangabandhu Sheikh Mujibur Rahman Agricultural UniversityGazipur 1706Bangladesh Plant Pathology Division Bangladesh Rice Research InstituteGazipur 1701Bangladesh Department of Agriculture Bangabandhu Sheikh Mujibur Rahman ScienceTechnology UniversityGopalganj 8100Bangladesh Department of Energy Plant Research Laboratory Michigan State UniversityEast LansingMI 48824USA Plant Resilience Institute Michigan State UniversityEast LansingMI 48824USA Department of Biochemistry and Molecular Biology Michigan State UniversityEast LansingMI 48824USA

Metalloid pollution,including arsenic poisoning,is a serious environmental issue,plaguing plant productivity and quality of life ***,a carbon-rich material,has been known to alleviate the negative effects of environmental pollutants on ***,the specific role of biochar in mitigating arsenic stress in maize remains relatively ***,we elucidated the functions of biochar in improving maize growth under the elevated level of sodium arsenate(Na_(2)AsO_(4),AsV).Maize plants were grown in pot-soils amended with two doses of biochar(2.5%(B1)and 5.0%(B2)biochar Kg^(−1) of soil)for 5 days,followed by exposure to Na_(2)AsO_(4)(’B1+AsV’and’B2+AsV’)for 9 *** plants exposed to AsV only accumulated substantial amount of arsenic in both roots and leaves,triggering severe phytotoxic effects,including stunted growth,leaf-yellowing,chlorosis,reduced photosynthesis,and nutritional imbalance,when compared with control ***,biochar addition improved the phenotype and growth of AsV-stressed maize plants by reducing root-to-leaf AsV translocation(by 46.56 and 57.46%in‘B1+AsV’and‘B2+AsV’plants),improving gas-exchange attributes,and elevating chlorophylls and mineral levels beyond AsV-stressed *** pretreatment also substantially counteracted AsV-induced oxidative stress by lowering reactive oxygen species accumulation,lipoxygenase activity,malondialdehyde level,and electrolyte *** oxidative stress in‘B1+AsV’and‘B2+AsV’plants likely supported by a strong antioxidant system powered by biochar-mediated increased activities of superoxide dismutase(by 25.12 and 46.55%),catalase(51.78 and 82.82%),and glutathione S-transferase(61.48 and 153.83%),and improved flavonoid levels(41.48 and 75.37%,respectively).Furthermore,increased levels of soluble sugars and free amino acids also correlated with improved leaf relative water content,suggesting a better osmotic acclimatization mechanism in biochar-pretreated AsV-exposed plants.

关键词： Arsenic contamination Antioxidant defense system Biochar Gas-exchange attributes Nutrient dynamics Oxidative stress

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Impairments Approximations in Assembled mmWave and Radio Over Fiber Network

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Computers, Materials & Continua 2022年第12期73卷 4885-4895页

作者： Muhammad Irfan Farman Ali Fazal Muhammad Saifur rahman Ammar Armghan Yousaf Khan Faisal Althobiani Rehan Shafiq Mohammed Alshareef mohammad E.Gommosani Electrical Engineering Department College of EngineeringNajran UniversityNajran61441Saudi Arabia Department of Electrical Engineering Qurtuba University of Science and ITDera Ismail Khan29050Pakistan Department of Electrical Engineering University of Engineering TechnologyMardan23200Pakistan Department of Electrical Engineering College of EngineeringJouf UniversitySakakaSaudi Arabia Faulty of Electrical Engineering University of Engineering and TechnologyPeshawarPakistan Faculty of Maritime Studies King Abdulaziz UniversityJeddah21589Saudi Arabia Department of Electrical Engineering Sarhad University of Science and Information TechnologyPeshawar25220Khyber PukhtunkhwaPakistan Ports&Maritime Transportation Faculty of Maritime Studies King Abdulaziz University JeddahSaudi Arabia Nautical Science Department Faculty of Maritime StudiesKing Abdulaziz UniversityJeddahSaudi Arabia

The fiber nonlinearity and phase noise(PN)are the focused impairments in the optical communication system,induced by high-capacity transmission and high laser input *** channels include high-capacity transmissions that cannot be achieved at the end side without aliasing because of fiber nonlinearity and PN ***,addressing of these distortions is the basic objective for the 5G mobile *** this paper,the fiber nonlinearity and PN are investigated using the assembled methodology of millimeter-wave and radio over fiber(mmWave-RoF).The analytical model is designed in terms of outage probability for the proposed mmWave-RoF *** performance of mmWave-RoF against fiber nonlinearity and PN is studied for input power,output power and length using peak to average power ratio(PAPR)and bit error rate(BER)measuring *** simulation outcomes present that the impacts of fiber nonlinearity and PNcan be balanced for a huge capacity mmWave-RoF model applying input power carefully.

关键词： Fiber nonlinearity phase noise radio over fiber network advanced modulation system

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Management of early appendicular lump in children-laparoscopic technique versus open surgery:a comparative study in low-middle income country perspective

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World Journal of Pediatric Surgery 2020年第2期3卷 24-28页

作者： mohammad Zonaid Chowdhury Md Abdullah Al Farooq M A Mushfiqur rahman Tanvir Kabir Chowdhury Department of Pediatric Surgery Chittagong Medical CollegeChattogramBangladesh

Background In the pediatric population,appendectomy is one of the most common emergency *** appendectomy(LA)is an accepted way of dealing with suspected uncomplicated appendicitis in *** role of laparoscopy in appendicular lump is more controversial and remains undefined and is not well practiced in low-middle income *** aim of this study was to determine a better surgical treatment plan for early appendicular lump in *** This prospective observational study was performed in Pediatric Surgery Department of Chittagong Medical College and Hospital for a period of 1 year from April 2018 to March *** children with appendicular lump selected consecutively as per eligibility criteria underwent either LA or open appendectomy(OA),that is,30 children per *** were followed up until hospital discharge to observe *** There were no differences in terms of patient’s age,sex,clinical presentation and laboratory findings between the two *** pain severity was significantly less in the LA group than that in the OA group(p<0.01).The incidence of wound infection was significantly lower in the LA group than that in the OA group(6.7%in LA and 46.7%in OA;p<0.01).Children in the LA group had a shorter duration of hospital stay in comparison to the OA group[median(IQR)was 8(5.75-11.25)days and 12(7.75-18.00)days,respectively,in LA and OA groups;p=0.01].Conclusion The study findings suggest that LA is feasible and should replace OA in cases of early appendicular lump in children.

关键词： Surgery wound income

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Bandwidth Allocation and Control Message Scheduling Algorithms for Improving the QoSs of High Priority Traffic in PON

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Journal of Communications and Information Networks 2018年第4期3卷 112-120页

作者： mohammad Mahbubur rahman Monir Hossen Department of Electronics and Communication Engineering Khulna University of Engineering&TechnologyBangladesh

The passive optical network(PON)is the most promising candidate for supporting multiple service classes,i.e.,high priority(HP)traffic and best-effort(BE)traffic,in the next-generation broadband access *** an efficient dynamic bandwidth allocation(DBA)algorithm is the most important issue for supporting multiple service classes of traffic *** paper presents a new DBA algorithm,which is the modified version of the hybrid slot-size/rate(HSSR)scheme,and is called the modified HSSR(MHSSR)*** have also modified the control message scheduling algorithm to fit it to the proposed *** the proposed MHSSR scheme,each cycle time,i.e.,the length of a time cycle,is equally divided into two *** the 1st part of the cycle time,the bandwidth is dynamically allocated to the HP traffic of all the optical network units(ONUs).In contrast,in the 2nd part of the cycle time,the bandwidth is dynamically allocated to the BE traffic of one or multiple ***,to ensure guaranteed service for the HP traffic,the 1st part of the cycle time is extended while the 2nd part of the cycle time is compressed if the demand of the HP traffic is very ***,the 1st part of the cycle time will never be compressed,even at the lightly loaded condition of the HP *** modified control message-scheduling algorithm effectively coordinates the timing sequence between the two parts of the cycle time and ensures the synchronization between two Gate messages to each *** have evaluated the performance of the proposed schemes through numerical simulations in terms of endto-end packet delay,bandwidth wastage,remaining bytes per time cycle,jitter,and throughput for different offered *** the comparative analysis,it can be seen that the proposed scheme provides better performance than the existing HSSR and delay variation-guaranteed schemes.

关键词： PON HSSR MHSSR MPCP DBA

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Study on the Physical and Mechanical Properties of Al-Powder Reinforced Bioactive Glass: Ceramic Composite Material

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Advances in Materials Physics and Chemistry 2022年第2期12卷 19-32页

作者： Muhammad Hafizur rahman Khan Sazzad Hossain mohammad Maksudur rahman Department of Physics International University of Business Agriculture and Technology Dhaka Bangladesh Department of Physics Jahangirnagar University Savar Dhaka Bangladesh

Glass-ceramic samples, having composition of SiO2-35, CaO-45, Na2O-10 and P2O5-10 in weight ratio were prepared through sintering route. Glass powder was reinforced by Al powder. The strength of glass-ceramic composite was found to be temperature dependent, and it varies with the addition of Al powder. Flexural strength increases with the increase of powder addition and sintering temperature, however, decreases with the increase of sintering time. There is an optimum temperature (>1100℃) above which flexural strength of all samples decreases. Bulk density changes to a higher value as the addition of Al-powder increases up to 3% by weight above which density decreases slowly. On the other hand, apparent porosity and water absorption decrease with the increase of percentage of Al powder added. Porosity and water absorption also showed a dependent characteristic on sintering time and sintering temperature.

关键词： Biomaterials Glass Ceramics Aluminum Powder Composite Material

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Detecting Deepfake Images Using Deep Learning Techniques and Explainable AI Methods

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Intelligent Automation & Soft Computing 2023年第2期35卷 2151-2169页

作者： Wahidul Hasan Abir Faria rahman Khanam Kazi Nabiul Alam Myriam Hadjouni Hela Elmannai Sami Bourouis Rajesh Dey mohammad Monirujjaman Khan Department of Electrical and Computer Engineering North South UniversityBashundharaDhaka1229Bangladesh Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Information Technology College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Information Technology College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia Department of Electronics and Communication Engineering Brainware Group of Institutions-SDETBarasatKolkata700124West BengalIndia

Nowadays,deepfake is wreaking havoc on *** content is created with the help of artiﬁcial intelligence and machine learning to replace one person’s likeness with another person in pictures or recorded *** visual media manipulations are not new,the introduction of deepfakes has marked a breakthrough in creating fake media and *** manipulated pic-tures and videos will undoubtedly have an enormous societal *** uses the latest technology like Artiﬁcial Intelligence(AI),Machine Learning(ML),and Deep Learning(DL)to construct automated methods for creating fake content that is becoming increasingly difﬁcult to detect with the human ***,automated solutions employed by DL can be an efﬁcient approach for detecting *** the“black-box”nature of the DL system allows for robust predictions,they cannot be completely *** is theﬁrst step toward achieving transparency,but the existing incapacity of DL to explain its own decisions to human users limits the efﬁcacy of these *** Explainable Artiﬁcial Intelligence(XAI)can solve this problem by inter-preting the predictions of these *** work proposes to provide a compre-hensive study of deepfake detection using the DL method and analyze the result of the most effective algorithm with Local Interpretable Model-Agnostic Explana-tions(LIME)to assure its validity and *** study identiﬁes real and deepfake images using different Convolutional Neural Network(CNN)models to get the best *** also explains which part of the image caused the model to make a speciﬁc classiﬁcation using the LIME *** apply the CNN model,the dataset is taken from Kaggle,which includes 70 k real images from the Flickr dataset collected by Nvidia and 70 k fake faces generated by StyleGAN of 256 px in *** experimental results,Jupyter notebook,TensorFlow,Num-Py,and Pandas were used as software,InceptionResnetV2,DenseNet201,Incep

关键词： Deepfake deep learning explainable artificial intelligence(XAI) convolutional neural network(CNN) local interpretable model-agnostic explanations(LIME)

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Predicting Drying Performance of Osmotically Treated Heat Sensitive Products Using Artificial Intelligence

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Computers, Materials & Continua 2021年第6期67卷 3143-3160页

作者： S.M.Atiqure rahman Hegazy Rezk mohammad Ali Abdelkareem M.Enamul Hoque Tariq Mahbub Sheikh Khaleduzzaman Shah Ahmed M.Nassef Department of Sustainable and Renewable Energy Engineering University of SharjahSharjahUAE College of Engineering at Wadi Addawaser Prince Sattam Bin Abdulaziz University11911Al-KharjSaudi Arabia Electrical Engineering Department Faculty of EngineeringMinia University61517MiniaEgypt Chemical Engineering Department Faculty of EngineeringMinia University61517MiniaEgypt Department of Biomedical Engineering Military Institute of Science and TechnologyDhakaBangladesh Department of Mechanical Engineering Military Institute of Science and TechnologyDhakaBangladesh Department of Infrastructure Engineering Melbourne School of EngineeringThe University of MelbourneAustralia Computers and Automatic Control Engineering Department Faculty of EngineeringTanta UniversityEgypt

The main goal of this research is to develop and apply a robust Artificial Neural Networks(ANNs)model for predicting the characteristics of the osmotically drying treated potato and apple samples as a model heat-sensitive product in vacuum contact *** salt and sugar solutions were used as the osmotic solutions at 27◦*** of experiments were performed at various temperatures of 35◦C,40◦C,and 55◦C for conduction heat input under vacuum(−760 mm Hg)*** experiments were also performed in a pure vacuum without heat *** moisture content(DMC),effective moisture diffusivity,and mass flux were considered as the performance parameters in this *** revealed that the osmotic dehydration using a concentrated sugar solution shows a higher reduction in the initial moisture loss of 19.87%compared to 5.3%in the salt ***,a significant enhancement of drying performance of about 27%in DMC was observed for both samples at vacuum and 40◦C compared to pure vacuum drying *** the experimental data,a robust artificial neural network(ANN)was proposed to describe the osmotic dehydration’s behavior on the drying *** ANN model outputs are the dimensionless moisture contents(DMC),the diffusivity,and the mass *** the ANN inputs were the drying time,the percent of sugar solution,and the percent of salt *** the ANN apple’s model,the minimum root mean square error(RMSE)values were 0.0261,0.0349 and 0.0406,for DMC,diffusivity,and mass flux,*** the best correlation coefficients of the above three parameters’determination values were 0.9909,0.9867 and 0.9744,*** the ANN potato’s model,the minimum RMSE values were 0.0124,0.0140 and 0.0333,for DMC,diffusivity,and mass flux,*** the best correlation coefficients of the parameters’values were found 0.9969,0.9968 and 0.9736,***,the ANN model’s prediction has a perfect agreement with th

关键词： Artificial neural network prediction modeling osmotic drying kinetics

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Development of the N-Doped Cu-Carbon Composite as a Novel Catalyst for the Removal Reactive Black 5

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Open Journal of Applied Sciences 2020年第7期10卷 432-443页

作者： Nargish Jahan Ara mohammad Farhadur rahman Zubair Hasan Md. Shofiqul Islam mohammad Mahbubur rahman Department of Chemistry Bangladesh University of Textiles Dhaka Department of Mathematics and Physical Science East West University Dhaka Department of Pharmacy East West University Dhaka Fiber & Polymer Research Division BCSIR Laboratories Dhaka

In this study, two Cu-based catalysts with and without N doped carbon matrix, named N-Cu/CuO/C and Cu/CuO were synthesized via calcination of melamine-cupper acetate complex and cupper acetate at 500°C under an inert atmosphere. The catalysts were characterized by X-ray powder diffraction (XRD), Field Emission Scanning Electron Microscope (FESEM), and CHNS elemental analyzer. The catalytic activity of both catalysts was evaluated through the NaBH4 associated reduction of commercial textile dye named reactive black 5 (RB5). The kinetics of the reduction of reactive black 5 was also described by the pseudo-first-order kinetic equation. For the studied reduction, N-Cu/CuO/C exhibited enhanced catalytic activity both in conversion and kinetics (97% conv. in 315 sec) compared to that of by Cu/CuO/C (25% conv. in 1500 sec). Besides, N-Cu/CuO/C also demonstrated good reusability up to four consecutive cycles.

关键词： Catalytic Reduction Reactive Black 5 Non-Noble Metal Carbon Compo-sites Calcinations

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Nutrient dynamics associated with leaf litter decomposition of three agroforestry tree species (Azadirachta indica, Dalbergia sissoo, and Melia azedarach) of Bangladesh

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Journal of Forestry Research 2011年第4期22卷 577-582页

作者： Mahmood Hossain mohammad Raqibul Hasan Siddique Md. Saidur rahman Md. Zaber Hossain Md. Mahedi Hasan Forestry and Wood Technology Discipline Khulna University Khulna - 9208 Bangladesh Soil Science Discipline Khulna University Khulna-9208 Forestry and Wood Technology Discipline Khulna University Khulna- 9208

Azadirachta indica A. Juss, Dalbergia, sissoo Roxb., and Melia azedarach L. are little studied species in nutrient return capabilities from leaf litter decomposition to maintenance of the soil fertility despite their importance in agroforestry practices of Bangladesh. A leaf litter decomposition experiment was conducted using a litterbag teeh7 nique to assess the nutrient reaun efficiency of these species. The de- composition rate of leaf litter was highest for M. azedarach and lowest for D. sissoo. Rainfall and temperature of study sites showed a significant （p〈0.05） positive relationship with the rate of leaf litter decomposition. The highest decay constant was observed for M. azedarach （6.67）. Nitrogen and Phosphorus concentration in leaf litter showed a decreased trend sharply at the end of the first month, whereas rapid decrease of Potassium concentration was reported within 10 days. Conversely, higher concentration of nutrient was observed at the later stages of decomposition. All three species showed a similar pattern of nutrient release （K 〉 N 〉 P） during the decomposition process of leaf litter. Among the studied species, D. sissoo was best in terms of N and P return and A. indica was best in terms of K return.

关键词： agroforestry decay constant decomposition leaf litter andnutrient dynamics

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Impact of lockdown relaxation and implementation of the facecovering policy on mental health: A United Kingdom COVID-19 study

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World Journal of Psychiatry 2021年第12期11卷 1346-1365页

作者： Shanaya Rathod Saseendran Pallikadavath Elizabeth Graves mohammad Mahbubur rahman Ashlea Brooks Mustafa G Soomro Pranay Rathod Peter Phiri Department of Research and Development Southern Health NHS Foundation TrustSouthampton SO303JBHampshireUnited Kingdom Portsmouth-Brawijaya Centre for Global Health Population and PolicyUniversity of PortsmouthPortsmouth PO12DTUnited Kingdom School of Health and Care Professions University of PortsmouthPortsmouth PO12DTHampshireUnited Kingdom Mental Health Solent NHS TrustPortsmouth P036ADUnited Kingdom PPI PPI RepresentativeLondon SO303JBUnited Kingdom Primary Care Population Sciences and Medical EducationFaculty of MedicineUniversity of SouthamptonSouthampton SO165STUnited Kingdom

BACKGROUND Pandemic mitigation policies,such as lockdown,are known to impact on mental health of *** face covering under relaxed lockdown restrictions gives assurance of less transmission of airborne infection and has the potential to improve mental health of individuals affected by *** To examine the association of the lockdown relaxation and the implementation of the face covering policy on the mental health of the general population and subgroups in the United Kingdom using interrupted time series *** Using a web-based cross-sectional survey of 28890 United Kingdom adults carried out during May 1,2020 to July 31,2020,changes in mental health status using generalised anxiety disorder(GAD-7),and impact of events scale-revised(IES-R)scales are examined,at the dates of the first lockdown relaxation(July 4,2020)and the subsequent introduction of face covering(July 24,2020)in United Kingdom.A sharp regression discontinuity design is used to check discontinuities in mental health outcomes at policy-change *** Average GAD-7 scores of participants were 5.6,5.6 and 4.3 during the lockdown period,the lockdown relaxation phase and the phase of compulsory face covering,respectively,with lower scores indicating lower anxiety *** scores for IES-R were 17.3,16.8 and 13.4,with lower scores indicating less *** lockdown measures and subsequent introduction of face covering,on average,reduced GAD-7 by 0.513(95%CI:0.913-0.112)and 1.148(95%CI:1.800-0.496),*** reductions in IES-R were 2.620(95%CI:4.279-0.961)and 3.449(95%CI:5.725-1.172).These imply that both lockdown relaxation and compulsory face-covering have a positive association with mental health scores(GAD-7 and IES-R).CONCLUSION The differential impact of lockdown and relaxation on the mental health of population sub-groups is evident in this study with future implications for *** of face covering in public pl

关键词： COVID-19 Psychological impact Lockdown Face-covering Mental health Anxiety

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