Koksal Karadas1, Muhammad Tariq2, Mohammad Masood Tariq3* and Ecevit Eyduran4
Ecevit Eyduran1, Daniel Zaborski2*, Abdul Waheed3, Senol Celik4, Koksal Karadas5 and Wilhelm Grzesiak2
...dictive capability among classification and regression trees (CART), chi-square automatic interaction detector (CHAID), radial basis function (RBF) networks and multilayer perceptrons with one (MLP1) and two (MLP2) hidden layers in body weight (BW) prediction from selected body measurements in the indigenous Beetal goat of Pakistan. Moreover, the results obtained with the data mining algorithms were compared with multiple linear regression (MR). A total of 205...
Ali Raza Awan*, Sehrish Firyal, Muhammad Tayyab, Lala Rukh, M. Zia ul Haq, Shagufta Saeed and Muhammad Wasim
... lays bare the molecular classification of Pakistani wild Rose-ringed Parakeet at sub-specie level using novel Cytb gene polymorphism....
Yakut Gevrekçi* and Çiğdem Takma
Abd El-Nasser Ahmed Mohammed*
...f young ovaries. Similar classification was done using eighteen female mice and sex young females. The females of mice or rats were anesthetized for ovarian transplantation using (6.2 and 13.2 mg/kg BW) and (13.3 and 26.6 mg/kg BW) diazepam and xylazine, respectively. The female of control group was subjected to sham operation whereas the other two groups were subjected to ovarian transplantation from adult to adult and (adult-adult) and from young to adult (y...
Senol Celik1,* and Orhan Yilmaz2
...acking. Here, we applied classification and regression tree (CART) and multivariate adaptive regression splines (MARS) approaches to estimate the most important variables in predicting the body weight of Turkish Tazi dogs. Using various body measurements, the CART algorithm proposed that withers height (WH), abdominal width (AW), rump height (RH) and chest depth (CD) can significant effect the body weight. Quantitatively, it was identified that values of WH &g...
Muhammad Jamal Khan1, Abdul Malik2*, Muhammad Shahzad Khattak2, Naveedullah1, Naeem Ijaz3 and Ishaq Ahmad4
...luated following various classification schemes. The results show that in most part of the study area, water table is showing slightly rising trend, except Sur Dag, Narre Khawar and Takht-e-Nasrati areas, where the water table is declining. On other hand, the numbers of tube wells extracting ground water are increasing rapidly. The wells discharges of the sampled tube wells varied from 2 to 14 l/s and the horse power of the pumping units ranged from 2 to 30 hp...
Aiguo Zhou1,3,4, Shaolin Xie1,4, Zhenlu Wang1, Lanfen Fan1, Yanfeng Chen2, QiaoYe1, Fang Zeng1 and Jixing Zou1,*
... China, but an uncertain classification has existed for many years. In present study, mitochondrial Cyt b gene was used to analyze the relationships and genetic diversity of two color morphs of northern snakehead. For the Chnannidae family, the average genetic distances of Cyt b gene was 0.171 (ranged 0.000 to 0.248) with the inter-species genetic distances. The intra-species genetic distance ranged from 0.000 to 0.002. For the haplotypes of two ...
Daniel Zaborski,1,* Muhammad Ali,2 Ecevit Eyduran,3 Wilhelm Grzesiak,1 Mohammad Masood Tariq,2 Ferhat Abbas,2 Abdul Waheed4 and Cem Tirink5
...l neural networks - ANN, classification and regression trees - CART, chi-square automatic interaction detector - CHAID and multivariate adaptive regression splines - MARS) and indicating the most influential predictors of these traits. A total of 382 reproduction records including three predictors (month of lambing - MOL, age at first lambing - AFL and lambing weight - LW) and seven dependent (output) variables (services per conception - SPC, service period - ...
Zhiwen Zou, Jianfei Xi, Fen Chen, Rui Xu, Tianrong Xin and Bin Xia*
... In order to improve the classification system of Amblyseiinae, the mitochondrial CO1 gene sequence of seven Amblyseiinae species, collected from four provinces of China, were sequenced, and another seven Amblyseiinae species mt CO1 gene sequenced were download from GenBank. And the phylogenetic relationship between the Amblyseiinae genus and the subspecies was studied. The results showed that four species of Kampimodromus and two species of Euseius<...
Senol Celik
...D), exhaustive CHAID and classification and regression trees (CART) data mining algorithms in predicting live body weight as a continuous response variable by means of morphological measurements i.e. live body weight (LBW), body length (BL), withers height (WH), rump height (RH), belly girth (BG) and chest girth (CG) as continuous predictors from 130 Pakistan goats. Also, sex factor was included as a possible nominal predictor in the current study. To m...
Syed Muhammad Hassan Raza1*, Syed Amer Mahmood1, Syeeda Areeba Gillani1, Syed Shehzad Hassan1, Muneeb Aamir1, Muhammad Saifullah1, Mubashar Basheer1, Atif Ahmad1, Saif-ul-Rehman2 and Tariq Ali1
...s by applying supervised classification to 15 bands composite. The satellite extracted areas under rice cultivation, were compared with CRS reported areas by applying linear regression and generated the regression equation. The NDVI of rice crop in 2018 was 0.72 and the predicted yield was estimated as 2.05 ton/ha. Satellite derived rice area in 2018 was 689580 ha, which was substituted in the regression equation to predict the CRS based area that was 654966 h...
Mustafa Boğa1, Kerim Kürşat Çevik2* and Aykut Burgut3
...n expert in establishing classification data. The expert determined the classes of the outputs data (average milk) through the input data (calving age, milking days, number of lactation and insemination). Applying deep neural networks, we established that average classification success of the system was 69.23% as a result of 6-Layers Cross-Verification Test which is commonly used in the literature for small datasets. In thes...
Maria Khalid1, Tanveer Hussain1*, Zahid Farooq2, Kamran Abbas1 and Masroor Ellahi Babar1
...ex debate with different classifications and revisions suggested based on their morphology, geographical distribution and chromosome number. In Pakistan the Chukar partridge (A.chukar)), is an important member of Phasianidae family, however a scarce molecular data is reported that urged us to investigate its genetic diversity and phylogeny using mitochondrial DNA, Cyt-b and Cox1 genes. A total of 749bp of Cox1 and 472 bp of Cyt-b...
Lei Wang1, Lu Yang2, Lei Luo1, Yaqi Gao1*, Jian Gao1 and Ping Liu1
...unctional annotation and classification. Some differences in the regularity of distribution and the time of eclosion of the pupa were detected between the southern and the northern populations. We obtained 142.65 Gb of data from transcriptome sequencing and recovered 70,397 unigenes through a de novo assembly. In total, 2089, 2420, and 6286 differentially expressed genes were gained from comparing groups of male adults, female adults, and pupa of A. ...
Hassan Boulahyaoui1,2*, Sanaa Alaoui Amine1,3, Marouane Melloul4, Farida Hilali5, Elmostafa El-Fahime1,3, Saad Mrani1,2 and Nadia Touil1,5*
...d using the RotaC online classification tool. A phylogenetic tree was constructed using the Maximum Likelihood method applying the Tamura 3-parameter model in MEGA 6.06 package and statistically supported by bootstrapping with 1000 replicates. The amino acid sequences of the antigenic regions of the outer capsid proteins VP8* were compared with vaccine and field strains. Here we show that the VP4 gene of the P[14] strains detected in this study exhibited close...
Kulsoom Iftikhar1, Shahzad Anwar1, Izhar Ul Haq1, Muhammad Tahir Khan1 and Sayed Riaz Akbar1
AN OPTIMAL NEURAL NETWORK BASED CLASSIFICATION TECHNIQUE FOR BREAST CANCER DETECTION
...dy presents an efficient classification method
for benign and malignant breast cancer. The proposed method employs an optimal feature classification employing
artificial neural network. The proposed architecture has five input nodes, two hidden layers with eight neurons each
and one output node. Five features (cluster thickness, uniformity of {cell size, cell shape}, marginal attachment and
radius...
for benign and malignant breast cancer. The proposed method employs an optimal feature classification employing
artificial neural network. The proposed architecture has five input nodes, two hidden layers with eight neurons each
and one output node. Five features (cluster thickness, uniformity of {cell size, cell shape}, marginal attachment and
radius...
Asif Ali Khan*, Nasru Minallah*, Shahbaz Khan**
ON THE PERFORMANCE OF SUPERVISED CLASSIFIERS FOR CROP IDENTIFICATION AND ESTIMATION USING MULTI-SPECTRAL IMAGERY
...llite imagery to improve classification results and reduce the efforts and processing time, different
supervised classifiers namely Maximum Likelihood approach, Neural Network and Minimum Distance Classifier have
been used to classify the imagery. Training data for classifiers has been collected through multiple field surveys using
GPS receivers. The results obtained clearly show that the performance of maximum-likelihood cl...
Atta Ur Rehman, Laiq Hassan, Nasir Ahmad, Kashif Ahmad, Shakirullah
COMPARATIVE STUDY OF SUPPORT VECTOR MACHINE AND HAMMING DISTANCE USED FOR IRIS RECOGNITION
... study of two well-known classification techniques of iris patterns, along with detailed
description of some preprocessing steps. In preprocessing stage, Circular Hough Transform and Canny Edge
Detector are employed for iris segmentation, while for iris normalization and feature extraction, the Rubber Sheet
Model and one-dimensional (1-D) Log-Gabor Filter are used respectively. Finally for classificati...
Muhammad Shaheen
APPLICATION OF LABELLED K MEANS CLUSTERING FOR GIS CONTRACT AUTOMATION
...ering is an unsupervised classification technique which is suitable for the dataset which do not have any class labels. The absence of labels constrained its application on different text data sets. Labelled K Means clustering generate labels for the clusters obtained from K Means Clustering which makes this technique more decisive for text data sets. A novel application of Labeled K Means Clustering for automation of technical part of GIS contracts is given i...
Saima Yaqub1, Tahir Yaqub1*, Muhammad Zubair Shabbir2, Asif Nadeem3, Aziz-Ul-Rahman1, Muhammad Furqan Shahid1, Zarfishan Tahir4 and Nadia Mukhtar4
... phylogeny and subtyping classification categorized the under-study sequences representing subtype A (n = 12; 46.15%), CRF02_AG (n = 6; 23.08%), subtype C (n= 5; 19.23%) and subtype G (n = 3; 11.54%). Subsequent to genotyping resistance interpretation algorithm, one major (M46L) and two accessory (N88D, L89V) PIs mutations in the protease region while four NRTI (D67T, K70R/Q, M184V and T215F) and four NNRTI (V108T, E138A, V179I and Y181C) mutations in the reve...
Chaojie Yang1,2,3, Haishan Wang1,2,3, Le Ye1,2,3 and Zhi Chen1,2,3,*
...enced for the purpose of classification. Mean genetic distances within Muraenesox bagio (Hamilton, 1822) and Muraenesox cinereus (Forsskål, 1775) group were 1.77% and 0.41%, respectively. Group mean distance between Congresox talabonoides (Bleeker, 1853) and other species ranged from 11.79% to 51.01%. Species were also confirmed at genetic level. According to present study, Congresox talabonoides (Bleeker, 1853) might prefer w...
Hongqun Li1*, Xiaoli Liu2*, Zongxian Han1, Shabin Wu1 and Changlei Cao1
...ering class. The overall classification model developed from these seven variables helped distinguish foraging sites from random ones at probability of 90.2%; while day-roosting sites tended to be found in the areas of higher altitude, smaller tree cover, lower shrub cover and height, lower herb height and sheltering class, far away from households, and close to woodside and the overall classification model developed from th...
Nasir Rashid1,2*, Javaid Iqbal1,2, Umar Shahbaz Khan1,2, Mohsin Islam Tiwana1,2 and Amir Hamza1,2
...ied into movements using classification techniques. This research article mainly focuses on classification of motor movements recorded in the form of EEG signals of four limb movements. The database used in this study has already ben been utilized by the researchers earlier with different combinations of classification techniques based of feature extraction. The dataset has been recorded a...
Arsalan Khan1, Aminullah Khan2, Dil Fayaz Khan2, Sajid Khan1, Anjum1, Waqar Ali3, Habib Akbar1 and Ahmad Khan1*
...soil series based on FAO classification. The experiment comprised of three tillage practices i.e. Shallow tillage (ST), Conventional tillage (CT) and Deep tillage (DT) and eight nitrogen treatments (Control, 100% Urea, 100% FYM, 100% PM, 50% Urea/FYM, 50% Urea/PM, 50% FYM/PM and 33.33% each PM/FYM/Urea). These ratios provided a total of 120 kg N ha-1. The wheat cv. Pakhtunkhwa-2015 was sown with seed of 120 kg ha-1. The CT resulted in ear...
Tanveer Hussain, Masroor Ellahi Babar*, Akhtar Ali and Fiaz Hussain
...the classical biological classification.
...
Aiguo Zhou1,2, Di Sun1,2,Shulin Liu 1,2, Yongyong Feng1,2, Yue Zhang3,
Yanfeng Chen4, Shaolin Xie1,2* and Jixing Zou1,2*
.../i>) due to an uncertain classification of them. The results showed that the genetic distance for the inter-species ranged from 0.000 to 0.492 for the Channidae family. And the analysis of sequences showed that there were nine haplotypes in 60 individuals, which were eight unique and one shared haplotypes. In addition, the genetic distance for inter-species of all the haplotypes ranged from 0.000 to 0.004. And the mean pair-wise genetic distance between the tw...
Fawzy Rania1, AboElkhair M.1, Bazid A.M.1, Sultan H.2, Hussien A.H.3
...rotypic and or genotypic classification of IBV is mainly based on the S1 subunit of Spike (S) gene. In the present study, thirty tracheal samples of broiler flocks suspected to be infected with IBV were collected from different Egyptian governorates during 2012. Isolation and genetic characterizations were carried out for only ten samples which were positive for IBVs. Multiple nucleotide and amino acids alignments revealed prominent nucleotide substitutions wh...
Abdullah Sheikh1,*, Faisal Almathen1,2 and Hairul Islam Mohamed Ibrahim3,4
... selection, breeding and classification.
...
Zahid Mahmood Sarwar1*, Ayub Iqbal Malik1, Maryam Suhail2, Shafqat Saeed3, Muhammad Umair Sial3, Waqar Jaleel4, Muhammad Nadir Naqqash5 and Qamar Saeed1
...iption, illustration and classification of unidentified species of the genus Spodoptera from Pakistan.
...
Samah A. Mokbel, Eman A. Ahmed, Hanan F. El-Kammar, Ahmed A. Kheder
...onfirmed
the classification of isolate SEA as a member of group IA. Infection of sugar beet leaves with CMV
resulted in the formation of amorphous inclusion bodies in the cytoplasm. Semi thin-sections of the
diseased sugar beet leaf blade showed changes in cellular organization and vascular bundles that reflect
the progression of the external symptoms. Electron micrograph showed isometric spherical virus
<...
Kang Chen1,2, Dekui He1, Chengzhi Ding3,4, Yintao Jia1 and Yifeng Chen1*
...gher rates of successful classification compared with lacustrine otolith stocks, and stocks of otoliths from the Chargut Co and the Kyaring Co lakes had the highest rates of misclassification. Although a 70% classification success rate was produced by Bochu Tsangpo, the differences in otolith shape among 11 stocks were not very noteworthy. The information generated in this research can be ...
Aiguo Zhou1,2,4, Shaolin Xie1,2, Zhuolin Sun1,2, Yongyong Feng1,2, Shulin Liu1,2, Di Sun1,2, Yanfeng Chen3 and Jixing Zou1,2*
Mary A. Sargious1, Hanaa A. Ahmed1, Ragab M. El-Shawarby2, Hatem H. Bakery2, Sherif I. Ramadan3, E. Gus Cothran4 and Ayman Samir Farid5*
...al maternal based strain classification system “Al Khamsa” using samples of native Arabian horses reared in the El-Zahraa stud based on 16 microsatellite markers. El-Zahraa stud showed high inbreeding (FIS = 0.110) and should be corrected by modifying mating system through avoiding excessive use of certain sires in breeding program. Across the five basic strains of the Arabian horse, nine loci showed 13 private alleles with the Seglawi recorded six...
Yao Zou, Shien Ren, Miao Xu, Nannan Liang, Xuxin Zhang, Chongxuan Han and Xiaoning Nan
...urements for cluster and classification. Zygomatic breadth could be considered as quantifiable differences between the two genera Eospalax and Myospalax. We suggest that the clustering patterns could be related to climate and geographical factors. Finally, it was found that most of the skull measurements were positively correlated with latitude but negatively correlated with annual mean temperature and precipitation, which follows Bergmann’s rule. This w...
Chukwudi Njoku1*, Inyang Etim-Inyang2, Prince-Charles Itu1 and Arinze Uzoezie1
...es and processes such as classification, buffering, interpolation, slope analyses, single and multiple Structured Query Languages (SQL). The analyses divulged 23 river sites that are suitable for setting up Tilapia cage culture in the State, all covering a total of 18.44 square kilometers (4.49 percent) of the water bodies in the area. The result is an essential decision-making tool for individuals and organizations in agro-business, fishermen and especially. ...
Jing Fu
... with tumor pathological classification and prognostic outcome. One hundred and sixty cases of ovarian mucinous tumors diagnosed from January 2018 and January 2020 were selected. They were divided into four groups: mucinous cystadenocarcinoma group (age 62.78±7.92, n=53), borderline mucinous cystadenocarcinoma group (age 63.82±9.26, n=55), mucinous cystadenocarcinoma group (age 62.81±6.28, n=52) Group and normal ovarian group (age 62.71&pl...
Guo-dong Zhao1,2*, He-ying Qian1,2, Yi-ling Zhang1,2, Gang Li1, 2, Jian Tang1, 2 and An-ying Xu1,2*
...g the gene ontology (GO) classification system. Pathway enrichment analysis was carried out using the Kyoto Encyclopedia of Genes and Genomes (KEGG) database. Furthermore, some selected differentially expressed genes (DEGs) were verified by qRT-PCR. Our results can facilitate the overall understanding of the mechanism of silkworm’s tolerance to pesticides and provide a new control strategy of Lepidoptera pests....
Muhammad Shaheen1* and Abdullah2
Agus Mulyono
... sparrow beak image with classification method using ANFIS and determine the level of accuracy. In this study there are 3 stages, namely preprocessing, learning stages and testing stages. The results of the Java sparrow sex detection accuracy through texture and color analysis of beak images using the ANFIS method are 90%. This shows that texture and color can be used to detect the sex of Java sparrow...
Saba Rashid*, Rehan Ashraf, Hafiza Faseeha Iftikhar, Zohaib Bilal Khan, Samreen Sanawar, Aamina Jamil, Misha Salam Bajwa, Manahil Riaz
...as well as a preliminary classification and clinical approach to reporting cases. In the clinical approach to movement disorders, we recommend categorizing movements into hyperkinetic vs hypokinetic, paroxysmal vs persistent, exercise-induced vs not related to exercise, and a genetic or unknown cause that involves defined movements with the help of suggested terminologies described here. Classical canine distemper is a multisystemic disease that typically affe...
Yue Ren1, Ting Jia2, Hao Zhang1, Zhengkun Wang1 and Wanlong Zhu1*
...s new insight into their classification and adaptation....
Ahmed Fathy1, Rania A. Hassan2, Essam S. Soliman3*
...discriminant analysis in classification between Baladi buffaloes and crossbred using clinical epidemiological measures of some productive and reproductive traits such as milk yield (MY/kg), days in milk (DIM/days), age at first calving (AFC/months), calving interval (CI/months), days open (DO/days), dry period (DP/weeks), number of services per conception (SPC rate), and days to first insemination (DFI/days). The raw data on 927 buffaloes (763 crossbred and 16...
Dzulhelmi Muhammad Nasir1,*, Suriyanti Su2, Van Lun Low3, Zulqarnain Mohamed1 and Norma-Rashid Yusoff1
...as consistent with their classification based upon morphological characteristics, though species boundary of Opadometa grata and Leucauge decorate could not be resolved by 18S gene....
Seyedmohammad Karimi1, Mohammad Darvishi2*, Mohammad Barati3, Ramin Hamidi Frahani4, Mohammad Hassan Kazemi5
...5), which shows a random classification of two groups. The mean AST, ALT, ALP and CBC of patients in case group decreased compared to the control group but the difference was not statistically significant (P > 0.05). In patients with COVID-19 that received Remdesivir, oral administration of melatonin and NAC did not significantly decrease either the patients liver enzymes or CBC level in 6 day of enrolment compared with placebo. Further studies with longer ...
Laikun Ma1,2, Jiaojiao Wang1, Shanshan Lyu2 and Jianhua Hou1*
...he response criteria for classification as an aggression signalling mechanism. However, our results suggest that song length may be an indicator of the fighting ability of male dusky warbler and may function in short-term communication....
Wei Fang1,2,3, Jiawei Hong1,2,3,4, Zhengyi Fu1,2,3, Jing Hu1,2,3, Gang Yu1,2,3, Zhenhua Ma1,2,3* and Humin Zong5*
...rm functional annotation classification, metabolic pathways and SSR feature analysis. The results showed that a total of 42.40 Gb data were obtained from transcriptome sequencing, and 38,817 Unigenes were obtained after assembly and de-redundancy; Using BLAST to annotate the assembled unigenes with seven functional databases (NR, NT, GO, COG, KEGG, Swissprot and Interpro), a total of 23,417 unigenes were annotated (accounting for 61.14%); A total of 253 differ...
Aamir Shakeel1*, Anwar Ali2, Tahir Iqbal1 and Ziad Raza1
...effort to apply OBIA and classification techniques to Landsat satellite images to detect the changes in LULC in Kaghan valley with range of observation of 4 years i.e., 2004 to 2008 and 2012....
Lijiao Wang1, Haibin Chen2*, Hongyan Yu1, Zexian Fu3 and Jianjun Zhao2*
...ients were analysed. The classification using ISUP was significantly correlated with the expression of EPAS-1 (P < 0.05). The ROC curve showed that the high expression of EPAS-1 has a certain diagnostic value for lymph node metastasis in RCC (P < 0.01). To conclude The high expression of EPAS-1 is closely related to the adverse clinicopathological characteristics of RCC and can be used as a potential therapeutic target for this disease. The detection of ...
Zhenglei Qiao*, Jie Xing and Fang Li
...materials for systematic classification of this group of fish....
Rogia SA Gomez*, Said H Mbaga
Li Tian1*, Chun Wang2, Hailiang Li2, Haitian Sun2 and Chang Wang3
...al results show that the classification accuracy of CBPSO-SVM algorithm is 98.22% and 97.78% respectively in gray spot disease and algal spot disease, higher than that of PCA-SVM (82.5% and 83.67%). In addition, the average classification accuracy of CBPSO-SVM is 91.26%, better than that of PCA-SVM (81.83%). At the same time, through the comparison of CBPSO algorithm, BPSO algorithm and PSO algorithm, it is found that CBPSO ...
