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Fishery stock assessment of Kiddi shrimp (Parapenaeopsis stylifera) in the Northern Arabian Sea Coast of Pakistan by using surplus production models

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Chinese Journal of Oceanology and Limnology 2017年第4期35卷 936-946页

作者： MOHSIN Muhammad 慕永通 MEMON aamir mahmood KALHORO Muhammad Talib SHAH Syed Baber Hussainin College of Fisheries Ocean University of China

Pakistani marine waters are under an open access regime. Due to poor management and policy implications, blind fishing is continued which may result in ecological as well as economic losses. Thus, it is of utmost importance to estimate fishery resources before harvesting. In this study, catch and effort data, 1996-2009, of Kiddi shrimp Parapenaeopsis stylifera fishery from Pakistani marine waters was analyzed by using specialized fishery software in order to know fishery stock status of this commercially important shrimp. Maximum, minimum and average capture production ofP. stylifera was observed as 15 912 metric tons （mr）（1997）, 9 438 mt （2009） and 11 667 mt/a. Two stock assessment tools viz. CEDA （catch and effort data analysis） and ASPIC （a stock production model incorporating covariates） were used to compute MSY （maximum sustainable yield） of this organism. In CEDA, three surplus production models, Fox, Schaefer and Pella-Tomlinson, along with three error assumptions, log, log normal and gamma, were used. For initial proportion （IP） 0.8, the Fox model computed MSY as 6 858 nat （CV=0.204, R^2=0.709） and 7 384 mt （CV=0.149, R^2=0.72） for log and log normal error assumption respectively. Here, gamma error produced minimization failure. Estimated MSY by using Schaefer and Pella-Tomlinson models remained the same for log, log normal and gamma error assumptions i.e. 7 083 mt, 8 209 mt and 7 242 mt correspondingly. The Schafer results showed highest goodness of fit R2 （0.712） values. ASPIC computed MSY, CV, R2, FMsv and BMsv parameters for the Fox model as 7 219 nat, 0.142, 0.872, 0.111 and 65 280, while for the Logistic model the computed values remained 7 720 mt, 0.148, 0.868, 0.107 and 72 110 correspondingly. Results obtained have shown that P. stylifera has been overexploited. Immediate steps are needed to conserve this fishery resource for the future and research on other species of commercial importance is urgently needed.

关键词： stock assessment fishery management Parapenaeopsis stylifera surplus production models Pakistan

Evaluation of the fishery status for King Soldier Bream Argyrops spinifer in Pakistan using the software CEDA and ASPIC

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Chinese Journal of Oceanology and Limnology 2015年第4期33卷 966-973页

作者： aamir mahmood MEMON 刘群 Khadim Hussain MEMON Wazir Ali BALOCH Asfandyar MEMON Abdul BASET College of Fisheries Ocean University of China Sindh Fisheries Department Marine Fisheries Department Fish Harbor west wharf Karachi 74000 Pakistan Department of Fresh Water Biology and Fisheries University of Sindh Department of Economics Management and Quantitative Methods Via Conservatorio7 Universita Degli Studi Di Milano

Catch and effort data were analyzed to estimate the maximum sustainable yield （MSY） of King Soldier Bream, Argyrops spinifer （Forsskal, 1775, Family： Sparidae）, and to evaluate the present status of the fish stocks exploited in Pakistani waters. The catch and effort data for the 25-years period 1985-2009 were analyzed using two computer software packages, CEDA （catch and effort data analysis） and ASPIC （a surplus production model incorporating covariates）. The maximum catch of 3 458 t was observed in 1988 and the minimum catch of 1 324 t in 2005, while the average annual catch ofA. spinifer over the 25 years was 2 500 t. The surplus production models of Fox, Schaefer, and Pella Tomlinson under three error assumptions of normal, log-normal and gamma are in the CEDA package and the two surplus models of Fox and logistic are in the ASPIC package. In CEDA, the MSY was estimated by applying the initial proportion （IP） of 0.8, because the starting catch was approximately 80% of the maximum catch. Except for gamma, because gamma showed maximization failures, the estimated results of MSY using CEDA with the Fox surplus production model and two error assumptions, were 1 692.08 t （R^2=0.572） and 1 694.09 t （R^2=0.606）, respectively, and from the Schaefer and the Pella Tomlinson models with two error assumptions were 2 390.95 t （R^2=0.563）, and 2 380.06 t （R^2=0.605）, respectively. The MSY estimated by the Fox model was conservatively compared to the Schaefer and Pella Tomlinson models. The MSY values from Schaefer and Pella Tomlinson models were the same. The computed values of MSY using the ASPIC computer software program with the two surplus production models of Fox and logistic were 1 498 t （R^2=0.917）, and 2 488 t （R^2=0.897） respectively. The estimated values of MSY using CEDA were about 1 700-2 400 t and the values from ASPIC were 1 500-2 500 t. The estimates output by the CEDA and the ASPIC packages indicate that the stock is overfished, and needs some effective manage

关键词： stock assessment Argyrops spinifer maximum sustainable yield catch and effort data analysis (CEDA) a surplus production model incorporating covariates (ASPIC) Pakistan

Classification of Retroviruses Based on Genomic Data Using RVGC

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Computers, Materials & Continua 2021年第12期69卷 3829-3844页

作者： Khalid mahmood aamir Muhammad Bilal Muhammad Ramzan Muhammad Attique Khan Yunyoung Nam Seifedine Kadry Department of CS&IT University of SargodhaSargodha40100Pakistan Department of CS&IT University of MianwaliMianwali42200Pakistan School of Systems and Technology University of Management and TechnologyLahore54782Pakistan Department of Computer Science HITEC University TaxilaTaxilaPakistan Department of Computer Science and Engineering Soonchunhyang UniversityAsanKorea Faculty of Applied Computing and Technology Noroff University CollegeKristiansandNorway

Retroviruses are a large group of infectious agents with similar virion structures and replication ***,cancer,neurologic disorders,and other clinical conditions can all be fatal due to retrovirus *** of retroviruses by genome sequence is a biological problem that benefits from computational *** National Center for Biotechnology Information(NCBI)promotes science and health by making biomedical and genomic data available to the *** research aims to classify the different types of rotavirus genome sequences available at the ***,nucleotide pattern occurrences are counted in the given genome sequences at the preprocessing *** on some significant results,the number of features used for classification is reduced to *** classification shall be carried out in two *** first phase of classification shall select only two *** data in the first phase is transferred to the next phase,where the final decision is taken with the remaining three *** data sets of animals and human retroviruses are selected;the training data set is used to minimize the classifier’s number and training;the validation data set is used to validate the *** performance of the classifier is analyzed using the test data ***,we use decision tree,naive Bayes,knearest neighbors,and vector support machines to compare *** results show that the proposed approach performs better than the existing methods for the retrovirus’s imbalanced genome-sequence dataset.

关键词： Retroviruses machine learning bioinformatics classification

A continuous time delay-difference type model(CTDDM) applied to stock assessment of the southern Atlantic albacore Thunnus alalunga

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Chinese Journal of Oceanology and Limnology 2016年第5期34卷 977-984页

作者：廖宝超刘群张魁 Abdul BASET aamir mahmood MEMON Khadim Hussain MEMON 韩亚楠 Department of Fisheries Ocean University of China South China Sea Fisheries Research Institute Chinese Academy of Fishery Sciences Marine Fisheries Department Fish HarborWest Wharf

A continuous time delay-difference model(CTDDM) has been established that considers continuous time delays of biological *** southern Atlantic albacore(Thunnus alalunga) stock is the one of the commercially important tuna population in the marine *** age structured production model(ASPM) and the surplus production model(SPM) have already been used to assess the albacore ***,the ASPM requires detailed biological information and the SPM lacks the biological *** this study,we focus on applying a CTDDM to the southern Atlantic albacore(***) species,which provides an alternative method to assess this *** is the first time that CTDDM has been provided for assessing the Atlantic albacore(***) *** obtained the 80%confidence interval of MSY(maximum sustainable yield) of(21 510 t,23 118 t).The catch in 2011(24 100 t) is higher than the MSY values and the relative fishing mortality ratio(F_(2011)/F_(MSY)) is higher than *** results of CTDDM were analyzed to verify the proposed methodology and provide reference information for the sustainable management of the southern Atlantic albacore *** CTDDM treats the recruitment,the growth,and the mortality rates as all varying continuously over time and fills gaps between ASPM and SPM in this stock assessment.

关键词： continuous time delay-difference model(CTDDM) Southern Atlantic Thunnus alalunga maximum sustainable yield(MSY) biological reference points(BRPs)

Automatic Heart Disease Detection by Classification of Ventricular Arrhythmias on ECG Using Machine Learning

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Computers, Materials & Continua 2022年第4期71卷 17-33页

作者： Khalid mahmood aamir Muhammad Ramzan Saima Skinadar Hikmat Ullah Khan Usman Tariq Hyunsoo Lee Yunyoung Nam Muhammad Attique Khan Department of Computer Science and Information Technology University of SargodhaSargodha40100Pakistan School of Systems and Technology University of Management and TechnologyLahore54782Pakistan COMSAT University Islamabad Wah CampusWah CanttPakistan College of Computer Engineering and Sciences Prince Sattam Bin Abdulaziz UniversityAl-KhrajSaudi Arabia Department of ICT Convergence Soonchunhyang UniversityAsan31538Korea Department of Computer Science HITEC University TaxilaPakistan

This paper focuses on detecting diseased signals and arrhythmias classification into two classes:ventricular tachycardia and premature ventricular *** sole purpose of the signal detection is used to determine if a signal has been collected from a healthy or sick *** proposed research approach presents a mathematical model for the signal detector based on calculating the instantaneous frequency(IF).Once a signal taken from a patient is detected,then the classifier takes that signal as input and classifies the target disease by predicting the class *** applying the classifier,templates are designed separately for ventricular tachycardia and premature ventricular *** of a given signal with both the templates are computed in the spectral *** empirical analysis reveals precisions for the detector and the applied classifier are 100%and 77.27%,***,instantaneous frequency analysis provides a benchmark that IF of a normal signal ranges from 0.8 to 1.1 Hz whereas IF range for ventricular tachycardia and premature ventricular contraction is 0.08–0.6 *** indicates a serious loss of high-frequency contents in the spectrum,implying that the heart’s overall activity is slowed *** study may help medical practitioners in detecting the heart disease type based on signal analysis.

关键词： Heart disease signals preprocessing detection machine learning

两种促排卵药物对不同年龄患者卵泡期长效长方案IVF/ICSI-ET助孕结局的影响

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中国计划生育和妇产科 2023年第9期15卷 70-75页

作者：梁雪琪 aamir mahmood 彭默然谭丽禹果郑州大学第二附属医院生殖医学科河南郑州450014

目的比较两种促排卵药物对不同年龄卵泡期长效长方案患者体外受精/卵泡浆内单精子注射胚胎移植(in vitro fertilization/intracytoplasmic sperm injection and embryo transfer,IVF/ICSI-ET)临床结局的影响。方法回顾性收集2016年1月至... 详细信息

目的比较两种促排卵药物对不同年龄卵泡期长效长方案患者体外受精/卵泡浆内单精子注射胚胎移植(in vitro fertilization/intracytoplasmic sperm injection and embryo transfer,IVF/ICSI-ET)临床结局的影响。方法回顾性收集2016年1月至2022年7月在郑州大学第二附属医院生殖医学中心行卵泡期长效长方案IVF/ICSI-ET助孕的患者,按使用的促卵泡激素种类分为rFSH组(普丽康或果纳芬)和uFSH组(丽申宝),将两组患者按体质量指数、不孕年限、窦卵泡计数、基础卵泡刺激素、抗苗勒管激素进行1∶1倾向性评分,按照年龄分为A组(年龄0.05),而uFSH组的Gn用药费用、hCG日P均低于rFSH组,差异有统计学意义(P<0.05);A组中uFSH组的Gn启动量、Gn时间、Gn总量、hCG日LH高于rFSH组,而hCG日E2、获卵数、可利用胚胎数低于rFSH组,差异有统计学意义(P<0.05);B组中uFSH组的Gn时间、Gn总量、卵裂率、优质胚胎率高于rFSH组,而hCG日E2低于rFSH组,差异有统计学意义(P<0.05)。多因素Logistic回归分析结果显示:以rFSH组为参照,uFSH组的临床妊娠率差异无统计学意义[(OR=1.16,95%CI(0.914-1.472),P=0.223)],hCG日P是影响临床妊娠率的重要因素[(OR=0.72,95%CI(0.636-0.976),P=0.029)],获卵数的增多[(OR=0.944,95%CI(0.924-0.964),P<0.001)]和有效胚胎数的增加[(OR=1.176,95%CI(1.117-1.237),P<0.001)]有利于获得更高的临床妊娠率,年龄是影响临床妊娠率的重要因素[(OR=0.964,95%CI(0.940-0.988),P=0.004)],临床妊娠率随年龄的增加而降低。结论在卵泡期长效长方案中高纯度uFSH临床结局上与rFSH无显著差异,但经济成本更低;高龄患者选用uFSH在较低经济成本下可能获得更多优胚。

关键词：体外受精-胚胎移植尿促卵泡激素基因重组人促卵泡激素卵泡期长效长方案妊娠结局

转SoSUT5基因甘蔗后代农艺和品质性状的表现

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广西糖业 2021年第5期41卷 3-10页

作者：曾许鹏牛俊奇 mahmood aamir 陈炯宇邢永秀李杨瑞广西大学农学院广西南宁530004 玉林师范学院广西玉林537000 中国农业科学院甘蔗研究中心/广西农业科学院甘蔗研究所/农业农村部广西甘蔗生物技术与遗传改良重点实验室/广西甘蔗遗传改良重点实验室广西南宁530007

蔗糖转运蛋白(SUT)在蔗糖的贮藏、转运、代谢等生理过程中发挥着重要作用,在甘蔗中有5种不同的类型。该研究观察了转SoSUT5基因甘蔗品系(L1、L2、L3和L6)和非转基因甘蔗(WT)在第2代新植蔗(T2)、第3代新植蔗(T3)、第2代第一季宿根蔗(T2R1... 详细信息

蔗糖转运蛋白(SUT)在蔗糖的贮藏、转运、代谢等生理过程中发挥着重要作用,在甘蔗中有5种不同的类型。该研究观察了转SoSUT5基因甘蔗品系(L1、L2、L3和L6)和非转基因甘蔗(WT)在第2代新植蔗(T2)、第3代新植蔗(T3)、第2代第一季宿根蔗(T2R1)和第2代第二季宿根蔗(T2R2)的生长、农艺性状、蔗茎出汁率、蔗汁重力纯度、蔗糖分积累等表现情况,为SUT基因功能研究提供参考依据。试验于2018年至2019年分别调查了转SoSUT5基因甘蔗株系和非转基因甘蔗在T2和T3的部分农艺性状,测定了在T2、T3、T2R1和T2R2时的甘蔗品质。与非转基因甘蔗相比,转基因甘蔗株系在出苗率、茎径大小、单茎重、甘蔗蔗糖分、蔗汁蔗糖分、蔗渣蔗糖分和蔗汁重力纯度等方面都有不同程度降低,而甘蔗的出汁率和黑穗病发病率则明显增高。SoSUT5基因可能对甘蔗生长和蔗糖分起负调控作用,并增加黑穗病的发病率。如果敲除此基因有可能改善甘蔗的生长、产量和品质性状。

关键词：甘蔗 SoSUT5基因农艺性状品质

In vitro-in vivo correlation study on nimesulide loaded hydroxypropylmethylcellulose microparticles

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药学学报 2010年第6期45卷 772-777页

作者： Shujaat Ali KHAN mahmood AHMAD Ghulam MURTAZA Muhammad Naeem aamir Rozina KOUSAR Fatima RASOOL Shahiq-u-ZAMAN Faculty of Pharmacy & Alternative Medicine the Islamia University of Bahawalpur

This study involves mathematical simulation model such as in vitro-in vivo correlation(IVIVC) development for various extended release formulations of nimesulide loaded hydroxypropylmethylcellulose(HPMC) microparticles(M1,M2 and M3 containing 1,2,and 3 g HPMC,respectively and 1 g drug in each) having variable release *** vitro dissolution data of these formulations were correlated to their relevant in vivo absorption profiles followed by predictability worth analysis of these Level A *** was used as control formulation to validate developed formulations and their respective *** regression coefficients of IVIVC plots for M1,M2,M3 and Nimaran were 0.834 9,0.831 2,0.927 2 and 0.898 1,*** internal prediction error for all formulations was within limits,i.e.,<10%.A good IVIVC was found for controlled release nimesulide loaded HPMC floating M3 *** other words,this mathematical simulation model is best fit for biowaiver studies which involves study parameters as those adopted for M3 because the value of its IVIVC regression coefficient is the closest to 1 as compared to M1 and M2.

关键词： nimesulide modelling HPMC Wagner-Nelson method

Estimation of infiltration models parameters and their comparison to simulate the onsite soil infiltration characteristics

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International Journal of Agricultural and Biological Engineering 2019年第3期12卷 84-91页

作者： Hafiz Umar Farid Zahid mahmood-Khan Ijaz Ahmad aamir Shakoor Muhammad Naveed Anjum Muhammad Mazhar Iqbal Muhammad Mubeen Muhammad Asghar Department of Agricultural Engineering Bahauddin Zakariya UniversityMultan-Pakistan Center of Excellence in Water Resources Engineering(CEWRE) University of Engineering and TechnologyLahore-Pakistan Division of Hydrology Water-Land Resources in Cold and Arid Regions Cold and Arid Region Environmental and Engineering InstituteChinese Academy of SciencesLanzhou 730000China Graduate School of Water Resources Sungkyunkwan UniversitySuwon-si 2066Korea Department of Environmental Sciences COMSATS Institute of Information TechnologyVehari-Pakistan

Detailed knowledge about soil characteristics and site-specific final steady infiltration rate could help to increase the irrigation water use efficiency and decrease water losses in agricultural *** experiments were conducted on Agricultural Research Farm of Bahauddin Zakariya University,Multan,Pakistan during *** cumulative infiltration depth was measured using double ring infiltrometer at selected six points of the study *** commonly used infiltration models such as Kostikov’s,Philip’s and Horton’s were fitted to the field infiltration data for determination of model parameters and to find the best fit model for the study ***’s infiltration model’s parameters such as empirical constant‘c’and infiltration decay constants‘k’were obtained in the ranges of 0.140-0.290 and 0.307-0.433,***’s infiltration model’s parameters such as sorptivity‘S’and conductivity constant‘A’were found in the ranges of 0.167-0.288 cm/min1/2 and-0.001 to-0.009 cm/min,***,the Horton’s model’s‘parameter‘k’was obtained in the range of-1.619 *** value of infiltration capacity at onset of infiltration(fo)was obtained as 1.744 to 3.491 for all the six *** analysis showed that the infiltration models using the estimated parameters have satisfactory prediction capability at all the selected ***’s model provided the lowest mean values for RMSE(0.235)and highest mean values for ME(94%);and the lowest mean values for MPD(0.127).This indicated that infiltration can be well-described by the Horton’s model at the selected site.

关键词： infiltration characteristics infiltration models parameters estimation perdition capability