Koksal Karadas1, Muhammad Tariq2, Mohammad Masood Tariq3* and Ecevit Eyduran4
...layer Perceptron) in the prediction of lactation milk yield in sheep was measured comparatively by model assessment criteria, such as R2, R2ADJUSTED, SDRATIO, CV(%), RMSE, RAE, MAPE, MAD and Pearson correlation coefficient (r) between actual and predicted milk yield values, respectively. Minimum farm numbers for parent and child nodes were assigned at 10:5 for producing the best predictive accuracy in CART and both C...
Ecevit Eyduran1, Daniel Zaborski2*, Abdul Waheed3, Senol Celik4, Koksal Karadas5 and Wilhelm Grzesiak2
...yers 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 BW records including one categorical (sex) and six continuous (head girth above eyes, neck length, diagonal body length, belly sprung, shank circumference and rump height) predictors were utilized. The Pearson correlation c...
Neenish Rana, Nosheen Ehsan, Awais Ihsan and Farrukh Jamil*
...able. The sequence-based predictions suggested that the pseudogenes-derived proteins may involve in different biological functions like translation, energy metabolism, amino acid metabolism and transport and binding.
... 
Muhammad Imran Shabbir
...netic analysis including prediction of patterns of inheritance in family lines and to calculate the recurrence risk for relatives etc. Punnett square is used to describe the possible combinations of paternal and maternal alleles for a particular cross. Described here is a line-dot method using ternary genotype codes to determine genotype probabilities in a very quick and simple way. Also ternary genotype codes along with gender symbols and affection status are...
İbrahim Aytekin1,*, Ecevit Eyduran2, Koksal Karadas3, Rifat Akşahan4 and İsmail Keskin1
...igation was to develop a prediction equation for fattening final live body weight from several body measurements and fattening period of native, crossbred and exotic breeds. For this aim, a total of 103 young bulls were used. In the prediction of fattening final live weight as an output variable, several continuous predictors evaluated in the current study were: withers height (WH), back height (BH), front rump height (FRH),...
Wang Jian1, Abdur Rehman2*, Noor Khan3, Wang Zhengjia4, Ji Peng-fei5, Xie Cong6, Muhammad Niamatullah Khan Babar7 and Raheel Saqib8
...; per capita income. The prediction accuracy grade is good for all per capita income and rural households’ consumption except the educational consumption grade that is just qualified. Finally we can forecast the future development trend of rural households’ consumption structure and income level. By means of the positive analysis, the countermeasures and recommendations have been proposed to develop the rural economy and consumer market in Hebei Pr...
Saima Rani and Irum Raza*
COMPARISON OF TREND ANALYSIS AND DOUBLE EXPONENTIAL SMOOTHING METHODS FOR PRICE ESTIMATION OF MAJOR PULSES IN PAKISTAN
...pectively along with 95% prediction intervals. The results showed that if the present growth rates remain the same then prices of these pulses in Pakistan would be Rs.37.64, Rs.120.26, Rs.89.55 and Rs.55.03 per kg, respectively in 2015- 16. An increasing trend in the estimated prices will turn down the demand of these pulses and consequently poor class of the economy who do not have enough resources to buy expensive livestock-based protein-rich food will be ba...
Sobia Naheed*, Irum Raza*, M. Zubair Anwar*, Nusrat Habib*, Naheed Zahra* and Sabeen Siddiqui*
FORECASTING AREA AND PRODUCTION OF BARLEY IN PUNJAB, PAKISTAN
...respectively, with a 95% prediction interval. Declining trends in
area and production of barley was observed from original series and this trend will be prevalent in the next five years after being forecasted. The estimates obtained from the results also depict inadequate supply of barley to meet up the everincreasing food necessities of the country.
...
Muhammad Mohsin Raza*, Muhammad Aslam Khan*, Irfan Ahmad**, Ali Ahsan Bajwa***, Hafiz Muhammad Usman Aslam*, Badar Ahsan Ullah****, and Kashif Riaz*
FOREST PATHOGENS AND DISEASES UNDER CHANGING CLIMATE -A REVIEW
...ike monitoring, modeling prediction, risk rating, planning, genetic diversity and facilitated migration, genetic protection and breeding for disease resistance and relating results to forest policy, planning as well as decision making, the suspicions innate to climate change effects can be minimized....
Ummad-ud-Din Umar*, Muhammad Aslam Khan**, *Ateeq-urRehman*, Abdul Hannan***, Syed Atif Hasan Naqvi*, Azhar Ali Khan****, Muhammad Asif Zulfiqar****
DEVELOPMENT AND VALIDATION OF POTATO LEAF ROLL VIRUS DISEASE PREDICTION MODEL BASED ON ENVIRONMENTAL FACTORS FOR FAISALABAD, PAKISTAN
... disease incidence. This prediction model can be used for the management of PLRV in this region....
Yakup Erdal Erturk1, Adem Aksoy2 and Mohammad Masood Tariq3,*
...to develop a respectable prediction equation that can denote interaction effects of influential predictors in the definition of the influential factors on AFFLW as an output variable for male and female crossbred cattle. Several predictors in the current survey were province (Erzurum, Igdir, Kars and Agri), farmer age, educational level (illiterate, primary school, secondary school, high school, and college), social security (available and unavailable), husban...
Adem Aksoy1, Yakup Erdal Ertürk2, Ecevit Eyduran3 and Mohammad Masood Tariq4,*
... good performance in the prediction of final fattening weight according to goodness of fit criteria i.e. R2 (0.983) and SDRATIO (0.114). Very strongly significant Pearson correlation coefficient (r=0.992) between observed and predicted FFW values in the MARS were found for the cultural beef cattle enterprises, respectively (P<0.01). The respective model evaluation criteria for CHAID algorithm were estimated as 0.671 R2
Gokhan Sahin1, Ecevit Eyduran2,*, Mete Turkoglu3 and Fatma Sahin2
... program and the utility prediction equation was aimed to improve for further biodiversity investigations. To determine the predictive quality of the MARS algorithm, goodness of fit criteria viz. coefficient of determination (0.994 and 0.996 R2 for Hd and Hm), Generalized Cross Validation (0.000038 and 0.024024 GCV for Hd and Hm), Cross-Validation R2 (0.974 and 0.967 CVR2 for Hd and Hm), Residual Sum of Squares (0.00046 ...
Adem Aksoy1, Yakup Erdal Ertürk2, Ecevit Eyduran3 and Mohammad Masood Tariq4,*
...zed comparatively in the prediction of weight at the end of grazing period. The best statistical approach was selected based on goodness of fit criteria viz. determination coefficient (R2), adjusted coefficient of determination (R2ADJ), and Pearson correlation coefficient between the actual and the predicted values in the response trait handled. The greatest importance order was obtained for age at the end of grazing per...
Daniel Zaborski,1,* Muhammad Ali,2 Ecevit Eyduran,3 Wilhelm Grzesiak,1 Mohammad Masood Tariq,2 Ferhat Abbas,2 Abdul Waheed4 and Cem Tirink5
... reproductive parameters prediction was rather ineffective, indicating that more powerful input variables are required to obtain better prediction results.
...
Tianlong Cai1, Falk Huettmann2, Kisup Lee3 and Yumin Guo1,*
...e reserves. Based on our predictions, a total of 22 priority areas should be considered when developing new nature reserves or expanding the existing nature reserves. In addition, we suggest that seven regions located at the Korean Peninsula are also suitable for dispersing hooded cranes from Izumi, Japan. Artificial feeding, including setting up feeding stations with grain, artificial cranes (decoys) and artificial flowing water impoundments can be used to at...
Senol Celik
...importance (100%) in the prediction of live body weight and these two predictors could be considered as indirect selection criteria for breeding schemes. It could be suggested that the CART, the CHAID, the Exhaustive CHAID and especially MARS algorithms in the prediction of live body weight were significant statistical tools in sophistically describing the studied breed standards for breeding purposes.
...
Faheem Aslam1*, Aneel Salman1 and Inayatullah Jan2
...s to improve time series prediction accuracy. The purpose of this study is to develop a precise wheat production model using artificial neural networks (ANN). A total of 71 years’ wheat production data from 1948 to 2018 is divided into training data and test data. The model is trained by using 53 years’ data and forecasts the future wheat production for the remaining 14 years. There are 16 indicators used as input variables for wheat production and...
Hande Kucukonder1, Pinar Celebi Demirarslan1*, Sezai Alkan2 and Özgür Baris Bırgul3
...ession analysis and grey prediction model. For this, the growth of 118 broilers was analyzed by using their weekly individual live weights from hatch to 49 day-old. In the analysis, nonlinear functions and Rolling-Grey Model (1,1) prediction method were used. The time-dependent growths of mixed sexes broilers were analyzed in the aspects of testing the parallelism of female and male growth samples, determining the best fitte...
Aftab Shaukat1,*, Sana Hanif2, Irfan Shaukat3, Muhammad Ahsan Naeem4,5, Shadab Shaukat6, Rizwan Shukat8, Shahid Ali Rajput9, Imran Shaukat10, Mubashar Hassan4, Khalid Mehmood7, Saqib Umar11 and Muhammad Ali Jamil1
.... Several computer based prediction databases remain the only foundation for rapid identification of putative microRNA target. By utilizing experimentally validated targets, the search of further targets via bioinformatics tools help to predict gene target site. Keeping this in view, a study has been planned to investigate PDCD1 gene regulatory miRNA targets, their sequences and their seed location in human using online server miRDB. We have
Xiuqing Hao1, Zhe Hong2, Huili Gao1, Fumin Tian1, Hongke Zhang3, Yu Zhou3, Yuming Guo3, Guang Yang1,* and Bingyao Chen1,*
...ed reliable and accurate prediction. The distance to coast (64.7% contribution) and bathymetry (30.7% contribution) were the major variables. The model predicted extensive suitable coastal habitat of seabirds in northern Beibu Gulf. The present study provided valuable baseline information and a new perspective in protecting and monitoring seabirds.
... 
Naveed ul Hasan Syed*1, Qurat-ul-Ain1, Muddasar Habib1, Naseer Ahmed Khan1, Sultan Ali1
A SYSTEMATIC STUDY OF THE INFLUENCE OF PROCESS VARIABLES ON THE OVERALL HEAT TRANSFER COEFFICIENT IN A SHELL AND TUBE HEAT EXCHANGER
...the heat flux. The model predictions
were compared with the experimental results and a good agreement was found. ...
were compared with the experimental results and a good agreement was found. ...
Fcroz Shah*~ Mohammad A. Irfan**, Rizwan Gul*~ Abdul Shakoor*
ALGORITHM DEVELOPMENT AND IMPLEMENTATION FOR NUMERICAL DETECTION OF HOT SPOTS IN CASTING GEOMETRY
...n: normal;">Numerical prediction of hot spots inside solid~fying castings is
Muhammad Imran Ahmad*, Nan Zhang**, Megan Jobson**, Muhammad Younas*, Kamran Ghani***
DELUMPING PROCEDURE FOR PREDICTION OF DISTRIBUTION OF PRODUCTS IN DISTILLATION USING A SHORT-CUT MODEL
...stage. A methodology for prediction of detailed product distribution for distillation processes using short-cut calculations of distillation is developed in this work. The proposed delumping procedure is explained in this paper, and an illustrative example is presented to elucidate the application in modeling of distillation using short-cut calculation methods. The proposed methodology helps retain molecular information of composition of pe...
Tahir Usman*, Khan Muhammad*
MODELING OF BLASTING COST AT DEEWAN CEMENT QUARRY, HATTAR USING MULTIVARIATE REGRESSION
...nts the development of a prediction model for blasting cost per ton at Deewan cement quarry operations, located in Hattar, Pakistan. The dataset primarily consisted of a total of 12 parameters which has been analyzed using Principal Component Analysis (PCA) to account for most significant parameters. These parameters were then subsequently used to formulate a model for the prediction of blasting cost per ton i...
Amir Naveed1, Unsia Habib1, Fouzia Parveen2, Syed Naveed Ul Hasan1, Muddasar Habib1, Irfan Shah1
AN INVESTIGATION OF HEAVY AND TRACE ELEMENTS IN COAL DEPOSITS OF MAKARWAL PAKISTAN AND THEIR POSSIBLE IMPACTS ON SURROUNDING WATER-CASE STUDY
...s a helping tool for the prediction of environmental risks associated with coal mining in Makarwal area. Further, the water samples of Makarwal area were also analyzed and found to be contaminated with heavy metal pollutants....
Usman Ali Naeem*, Hashim Nisar*, Habib-ur-Rehman** and Naeem Ejaz*
DEVELOPMENT OF FLOOD DISCHARGE MODELS USING GIS
...ments, modeling and predictions of futuristic results is possible which will yield better decision making leading to fructifying outcome. Physical hydrologic models for drainage areas are significant utensils to hold water assets management and foresee diverse hydrologic contacts and risks. Indus River is considered as salvation of Pakistan and it is also the largest river of the country. The approximate length of the river is 3180 kilomete...
Kadir Karakuş1, Turgut Aygün2, Şenol Çelik3, Mohammad Masood Tariq4*, Muhammad Ali4, Majed Rafeeq4 and Farhat Abbas Bukhari4
...dictive precision in the prediction of LW from body features may put onward a new view point for 39 lambs breeders.
...
Yasin Altay1, Saim Boztepe2, Ecevit Eyduran3, İsmail Keskin2, Mohammad Masood Tariq4*, Farhat Abbas Bukhari4 and Irshad Ali4
... within the scope of the prediction of wool fineness as a response variable. Also, Multivariate Adaptive Regression Splines (MARS) was implemented for the WF prediction. In the prediction of wool fineness (WF), sex, dam age (DA), birth weight (BW), birth type (BT), live body weight (LBW), greasy fleece weight (GFW), staple length (SL), number of fibers (F) and average number of crimps over...
Minghao Gong1*, Shiliang Pang2, Zhongyan Gao2, Wanyu Wen1, Ling Zhang3, Gang Liu1, Huixin Li1, Fawen Qian4 and Wenfeng Wang2
... in Zhalong Reserve. The predictions also showed a northward movement of RCC habitat and a loss of current suitable habitat southeast of Zhalong Reserve, resulting in a discrepancy between future habitat areas and currently protected areas. In addition, climate change will further fragment RCC habitat, thus decreasing habitat suitability and carrying capacity, especially within Zhalong Reserve. Our study indicated that the most suitable breeding habitat is cur...
Shishir Sharma* and Laxmi Prasad Joshi
Current Insights on Stemphylium Blight of Lentil with its Management Strategies
...g with Omics and weather prediction tools may be crucial in avoiding severe SB outbreaks. A comprehensive review article discusses the morphological as well as molecular dimension of pathogens, their effects, pathogenicity, integrated disease management approaches, and future views....
Dilara Devranoglu, Ilksen Tavaci, Gonul Filoglu and Ozlem Bulbul*
... determine the eye color prediction accuracy of the IrisPlex system. We used five years old bloodstains and UVC exposed (30 and 60 min) DNA samples. PCR and electrophoresis were performed. The multinomial logistic regression model statistics is applied for eye color prediction. We observed allele and locus drop-outs on both bloodstains stored for five years and UVC exposed samples. The brown and blue eye colors were correctl...
Yongyun Zhang1, 2, Xinyang Fan1, Fangting Zhou1, Weizhen Li3, Yina Ouyang1,4 and Yongwang Miao1*
...p.L178S and p.F179L. The prediction showed that the p.F179L may affect the function of buffalo αS1-CN. Eight buffalo CSN1S1 haplotypes were defined in this study, and accordingly, 6 protein variants and 2 synonymous variants of αS1-CN were inferred and named. The variants A, B’, B’’, C, E and F were observed only in river buffalo, whereas variant D was found only in swamp buffalo. The var...
Ryan Septa Kurnia1* and Radiana Dhewayani Antarianto2
...ability to make reliable predictions for human clinical trials. Recently, 3D cell culture produced by researchers to improve better mimic tissue physiology of better in vitro cell culture model. It is may enable microbiologists to create infection models that combine respiratory tissue culture engineering with the virus-relevant complexity of in vivo models. Mechanism of infection disease have shown that the normal microbiota in host health has r...
Celalettin Gözüaçık1, Ecevit Eyduran2 and Mohammad Masood Tariq3*
...ntial predictors. In the prediction of height of eggs, CHAID (Chi-square Automatic Interaction Detection) and MARS (Multivariate Adaptive Regression Splines) algorithms were implemented for describing egg laying behaviour of the alfalfa weevil and giving an idea on minimizing loss of the fields, in practice. In conclusion, a new scale developed by CHAID indicated that height of eggs was found higher as the plant height increased from Node 1 (plant height
Ruqayya Bint Khalid1, Asif Nadeem1,2*, Maryam Javed1, Muhammad Zubair Shabbir3 and Masroor Ellahi Babar4
...ilized for protein model prediction. Sequencing results of amplified PCR products revealed total 9 SNPs including 1 in exonic and 8 in intronic regions of β-casein gene. Results represent the presence of A2 allele in milk of Cholistani Cattle of Pakistan. Multiple sequence alignment represented the presence of MKVLILACLVALALARE and QRAVPVQALLLNQE as highly conserved regions. Phylogenetic analysis revealed the evolutionary relationship among Cholistani cat...
Ibadullah Jan1*, Iqbal Munir2, Inamullah Khan3, Syed Muhammad Suhail4 and Aqib Iqbal2
...on through computational predictions, and using suitable animal models to address its pharmacokinetic behaviour and to improve its therapeutic efficacy and potency by enhancing its binding affinity against multiple target proteins. It must also be screened for long-term toxicological and side effects to further investigate its safety profile....
Donglai Li1,Mei Han1,Huw Lloyd2, Linyu Jin1, Lei Zhang1, Jiangxia Yin1 and Dongmei Wan1*
...lways in support of this prediction.Here, we explore parental behaviours within the context of extra-pair patenity (EPP) in a population of the varied tit Parus varius in China. The results showed that 39.5% of nests were cuckolded and 16.4% of chicks were sired by extra-pair males. We found no evidence that male and female varied tits reduced their feeding rates or relative feeding effort to EPP broods, or that they decreased provisioning for EPY in mi...
Yanhong Hu* and Linkai Cui
...parative analysis of the prediction results showed EpFAR was localized to the ER membrane. These results, combined with the localization of other FARs, suggested the importance of ER as a related subcellular site of white wax biosynthesis.
...
Murat Kulekçi1, Ecevit Eyduran2, Ayaz Yusuf Altın2 and Mohammad Masood Tariq3*
...d a marvelous fit in the prediction of honey yield per beehive. It was concluded that both algorithms were a good statistical tool to reveal tendency of beekeepers in the observed location and produced some considerable hints in increasing honey yield....
Ali Ghazi Atiyah1*, Nadia Hameed Rija Al-Falahi2 and Ghazi Atiya Zarraq3
...matched with theoretical predictions. Also, there was a formation of rough precipitation layer when using SBF showed the bioactivity of the scaffold. Finally, the β-CPP scaffold was successfully synthesized from avian eggshell waste with high purity and favourite biocompatibility which was promising for use as bone substitution materials....
Sana Shakoor, Tahir Rehman Samiullah, Naila Shahid, Abdul Qayyum Rao*, Aneela Yasmeen, Sana Tahir, Ayesha Latif, Saira Azam, Ahmad Ali Shahid and Tayyab Husnain
Hamdy Abdala Elnagar*, Wael Mohamed Wafa, Moataz Ibrahim Badwy, Abdelaziz Mustafa Sakr
...ich may suggest an early prediction of semen quality in bull calves in future studies.
Keywords | Buffalo-bulls, Blood, Semen, Protein, Fertility.
...
Muhammad Islam1,4*, Farrukh Shehzad1, Muhammad Omar2, Abdul Qayyum3 and Rabia Siddiqui4
...lign: justify;">The true prediction of food crop with exact estimation of population growth can play a crucial role for evolving effective agricultural policy decisions for food concerns. This study integrated the efficacies of supervised machine learning (ML) algorithms using compound growth exponential regression models (CGREM) with linear regression models (LRM) to predict the wheat area, yield and population explosion. The historical data are collected fro...
Victoria Rankotsane Hlokoe, Thobela Louis Tyasi*
...regression model for the prediction of BW of Nguni cattle. A total of 70 Nguni cattle (59 females and 11 males) aged 2-4 years were employed in the current study. Pearson’s correlation and stepwise regression techniques were employed for the analysis of data. The association findings showed that BW had a positively high significant association (P < 0.01) with WH (r = 0.94), HG (r = 0.91), RH (r = 0.88), SH (r = 0.90), RW (r = 0.73), and a positive sta...
Sajjad Ali1*, Atta ur Rahman1 and Sher Ali2
...rease in population. The prediction showed that the per capita share of inhabitants in major crop production would decrease further. In 2050, the study area will be unable to feed its inhabitants due to the rapid increase in population and the built-up environment....
Zayed M.A1, M.F. Shehata1, I.M. Ismail1, Mona Mohammady1, M.A. Radwan2*
...be used for the accurate prediction of carcass characteristics in Barki lambs.
Keywords | Barki sheep, Weaning weight, Ultrasound measurements, Meat quality, Carcass predict.
...
Eye Color Frequency and IrisPlex Validation in Pakhtun Population Living in Shangla Valley, Pakistan
Murad Ali Rahat1*, Muhammad Israr2, Hakim Khan1, Ishtiaq Hassan1, Mohammad Islam1 and Muzafar Shah3
...igation by probabilistic prediction of eye, hair, skin colors as well as other phenotypic features. The Irisplex system contains a very sensitive multiplex genetic typing test that allows users to predict blue, brown and intermediate human eye color from DNA samples. To check the validity of IrisPlex system in the local Pakhtun population living in Shangla Valley of Pakistan, the current study was carried out. DNA samples as well as photographs were taken from...
Ansar Abbas1*, Muhammad Aman Ullah2, Abdul Waheed3 and Muhammad Asif4
...(MLR) implemented in the prediction of live body weight (BW) from several body measurements such as withers height (WH), body length (BL), head length (HL), rump length (RL), head width (HW), rump width (RW), barrel depth (BD) and heart girth (HG). A total of 271 female Thalli sheep of southern Punjab were included in the study. We used different goodness of fit criteria such as coefficient of determination (R2 %), adjusted coefficient of determination (Adj-R2...
Farrukh Shehzad1, Muhammad Islam1,2*, Muhammad Omar3, Syed Ijaz Hussain Shah4, Rizwan Ahmed5 and Naeem Sohail6
...est fitted model for the prediction of wheat productivity. The hyper parametric tuning K-Fold cross validation is applied to get the most optimized sub fold for the modified models. It is demonstrated that modified RFR provides superior performance as we advanced from D1 to D4. The results got best when it used D4 for random forest regression with the K Fold-6....
Rosidi Azis1, Gatot Ciptadi2, Sri Wahjuningsih2, Dwi Nur Happy Hariyono3, Yuli Arif Tribudi4, Veronica Margareta Ani Nurgiartiningsih2*
...regression model for the prediction of BW in Bali cattle. Data from 535 (275 males and 260 females; aged six months) of Bali cattle were collected from the Bali Cattle Breeding Center during the period 2018-2020. The Pearson correlation (r) between BW and BMs was determined, and the simple and multiple regression analysis were performed in a Matlab R2021a. The quality of fit of the models was evaluated using the coefficient of determination (R2) and root mean ...
Laikun Ma1,2, Jiaojiao Wang1, Shanshan Lyu2 and Jianhua Hou1*
...ength meets the context, prediction and response criteria of aggressive signal needs further study. We studied the responses of males to invaders with different threat levels by playing back songs of various length during the breeding season of the dusky warbler in Saihanba National Forest Park. We observed no significant differences in physical and song behaviours in male dusky warblers in response to simulated intruders with different song length. However, t...
Asmaa A Darwish*
...ocess resection outcomes prediction.
...
...
Slamet Widodo1*, Mohammad Ikhsan Shiddieqy1, Teguh Wahyono2, Yeni Widiawati1, Zultinur Muttaqin1
...at could help to develop prediction equations about feed digestibility and gas production to these forages. Parameters measured in this study were crude protein (CP), neutral detergent fiber (NDF), acid detergent fiber (ADF), lignin, fat, minerals, dry matter digestibility with pepsine (DMdPeps), organic matter digestibility with pepsine (OMdPeps), nitrogen digestibility with pepsin (NdPepsin), gas production. The results showed that CP, NDF, and A...
Qi Jiayi1, Huang XuMiao2, Lin Wei3, Ao YaHui3, Zhao Wenting2* and Cao Chunhao3*
...assistance for prognosis prediction and immunotherapy of SKCM....
Qingsen Ran1,2, Manjing Li3, Jiayin Han3, Lifang Wang3, Han Wang3,4, Shaobo Liu5* and Yanping Wang1*
...lished a prognostic risk prediction model, which can provide reference for prognosis assessment and efficient treatment in CC....
Moustafa A. Zaghloul1*, Mohamed F. Azooz1, Saleh E. Ali1*, Heba M. Soliman1, Maha M. Sayed1, Mohamed H. Kafafy2 and Alaa R. Morsy1
... passed the three B-cell prediction tools. Twelve promising and top linear B epitopes passed the antigenicity, allergenicity and toxicity tests. Fifty-seven MHC I epitopes were the most promising, while (49) were from MHC II. Thirteen peptides for MHC II were chosen as the best targets for the vaccine. Seventeen MHC I epitopes were the most promising because they were able to bind to the greatest number of MHC Ialleles and passed the antigenicity, allergenicit...
Bakr3 *, Youssef M.; Nour El-Din3, Hanan A.; Abd EL-Wahed2, Waiel F. and Hemeidal , Aläa A.
...lign: justify;">Epitopes prediction plays a vital role in the development of antibodies production and immunodiagnostic tests. This paper is focused on building models for predicting linear B-cell epitopes based on support vector machine (SVM) and subsequence string kemel. The obtained models were tested by 10 fold cross validation method. We applied the obtained models to Potato leaf roll virus (PLRV) as a case study using Epitopes Model Applier Software (EMA...
TAHIR IQBAL1, 2, UMER RASHID1* & MUHAMMAD IDREES3, 4
Khalid Hussain*, Tanvir Hussain, Zahid Rauf and Nowsherwan Zarif
... of the past climate and predictions of future changes....
GUL HASSAN,SAIMA HASHIM,Khan Bahadar Marwat
I Ketut Puja1*, I Nyoman Sulabda2, Ni Nyoman Trinayani3, Ni Wayan Patmawati3, Made Rahayu Kusumadewi3, Putu Bulan Sasmita Dewi3, I Wayan Sukernayasa4, Anak Agung Gede Oka Dharmayudha5, Putu Devi Jayanti5, I Wayan Nico Fajar Gunawan5
...s needed to increase the prediction value to a more acceptable starting point.
...
...
Modelling of female Pupal body weight and fecundity of the mulberry silkworm (Bombyx mori l) strains
Ghulam Ali Bajwa and Hakim Shah
...te-good fit of fecundity prediction model. Based on these findings it is concluded that the nine silkworm strains, both inbred strains and hybrids, have promising fecundity potential. Moreover, the female pupal body weight is a reliable indicator for fecundity estimation and may be used for estimation of silk seed production. The findings will also be helpful in increasing silk seed production by selecting females based on pupal body weight.
Keywords: Fe...
*Muhammad Iqbal, James A. Moore and ***Charles R. Hatch
...ed simple and
practical prediction models using linear regression to
estimate crown biomass. Models were developed for green
and air-dried branch wood and fodder crown biomass
components under different lopping intensities. Tables
were produced to formulate management, planning and
marketing strategies. Diameter at breast height squared
(Dbh2) and its square proved to be the independent
variables to predict crown biomass weights....
Raja Walayat Hussain and M. A. Cheema
...ng made use of in growth prediction studies and in the construction of the yield tables using calculus and regression techniques (2, 5). Curtis (2) estimated the rate of height growth i.e. through regression techniques by measuring each of the last six internodal lengths by grouping them into diameter classes. He subsequently utilized it in obtaining the current rate of volume growth in the preparation of yield tables of Douglas fir....
Rawa Abdulkareem Abd
...uence microbial response prediction, and microbial omics data integration into the models. To sum up, this research has illustrated the need to discover new bacteria in the lift of study of biogeochemical cycles and its implication for ecosystems’ dynamics, the environment, and biotechnologies. As a result of unveiling the secrets of the microbial dark matter, we shall enhance our understanding of the complexity of life on this planet and it shall be rev...
Yaowu Zhan, Dandan Su*, Jinxiu Bai, Fang Li and Yulian Dong
...in can be used for early prediction of children with ARTI. It is of great value to improve the clinical treatment of ARTI....
Chao Du1, Li Liu1, Li Gao1, Yongqi Ren2, Shiqiang Wang3 and Wei Liu4*
Fadia W. Al-Azawi1* , Huda M. Hamid2, Husam Jasim Mohammed1 and Jan Muhammad3
...uating the goodness of a prediction interpolation task. To obtain a more precise picture of the scenarios for changing rainfall, the analysis was performed in most districts of Iraq. Dry seasons yield more reliable results than flood seasons. High correlation coefficients above 0.95 validated IDW for spatial interpolation to predict ROI rainfall data....
Muhammad Ehsan Safdar1*, Muhammad Sikander Hayyat, Muhammad Zeshan Maajid, Mubashar Nadeem and Amjed Ali
...arvensis as estimated by prediction model was 5.6 plants per m2 indicating that field bindweed weed in wheat should be controlled at this density....
Never Assan1,2, Michael Musasira3, Maphios Mpofu3, Nicholas Mwayera4, Kwena Mokoena5, Thobela Louis Tyasi5*
...can optimize body weight prediction for I3 females by reducing variables in the model. The results highlight the importance of dentition-based age estimation and morphometric feature-based body weight prediction in small ruminants, particularly in small-scale animal agriculture where scales and record-keeping are often lacking.
Keywords | Body weight, Dentition, Linear body measurements, ...
Mokammel Hossain Tito, Most Hoor E Jannat, Marzia Afrose, S.M. Jubayer Ahmed, Shah Md Maruf, Md. Arafat Hossain, Safiullah Samani, Ruksana Jahan Mira, Barshon Saha, Asraful Islam Jihad and Tonmoy Kumar Das
...tential of ML in disease prediction and contribute valuable insights for proactive disease management strategies, offering a pathway towards safeguarding livestock and ensuring sustainable agricultural practices....
Qamar Ullah1,2, Muti-ur-Rehman Khan1*, Raheela Akhtar1 and Aftab Ahmad Anjum3
Ray Adil Quddus1, Nisar Ahmad1*, Jalees Ahmad Bhatti1, Anjum Khaleeq2 and Asfand Yar Khan3
... However, false estruses prediction was lowered by an automated monitoring system than visual observation (11 vs 19, respectively; P<0.05). Therefore, efficiency (60%) and accuracy (73.1%) of estruses detection by NEDAP were higher than visual observation. The feeding bouts were decreased from day -3 to 0 day (9.56±0.3 vs 6.23±0.3 bouts/d, respectively; P<0.001), and reduction in rumination time was about 3.8 h/d from day -1 to 0 day. The l...
