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Akhtar Muhammad Uzair,Hifzulrahman,Pasha Talat Naseer,Avais Muhammad,Khan Nauman,Chishti Ghazanfar Ali,Ali Mubashar,Imran Muhammad,Tahir Muhammad Naeem,Naveed-ul-Haque Muhammad 아세아·태평양축산학회 2023 Animal Bioscience Vol.36 No.6
Objective: Hyperketonemia remains a major metabolic issue of serious milk production and a major health concern in early lactation cows. Oral supplementation of glucose precursors (GP) can be used to prevent hyperketonemia in dairy cows. The objective of this study was to compare the beneficial effects of orally supplementing a mixture of GP on metabolic health indicators and milk production status of primiparous (PP) and multiparous (MP) dairy cows. Methods: Twenty-eight Holstein cows were blocked by expected date of parturition, previous lactation yield, and parity. The cows were randomly allocated to one of the four treatment groups (n = 7 cows/group) based on their parity and GP supplementation: i) PP cows fed basal diet only (PP-CON), ii) PP cows with oral supplementation of GP (PP-GP), iii) MP cows fed basal diet only (MP-CON), and iv) MP cows with oral supplementation of GP (MP-GP). Glucose precursor (glycoline liquid) was orally drenched (300 mL/d) in GP cows from 7 days prepartum through 7 days postpartum. Other than GP supplementation, all cows were fed similar pre- and postpartum basal diets. Results: In both pre- and postpartum periods, serum glucose concentration was increased, whereas β-hydroxybutyrate and free fatty acids were decreased in GP cows compared with the CON cows. Milk yield and milk components were statistically not different between GP and CON cows over the first 9 week of lactation. The yield of actual milk, energycorrected milk, 63-days cumulative milk, colostrum yield, and calf birth weight remained higher in MP cows compared with PP cows. Conclusion: Oral drenching of GP around calving can be recommended to successfully improve the metabolic health and reduce the negative effects of hyperketonemia not only in MP but also in PP dairy cows.
Impact of Approval Goals and Motivation on Consumer Intention: A Retail Context
Muhammad Farooq AKHTAR(Muhammad Farooq AKHTAR ),Norazah Mohd SUKI(Norazah Mohd SUKI ) 한국유통과학회 2022 유통과학연구 Vol.20 No.12
Purpose: The objective of the study is to examine the role of approval goals, subjective norm, internal motivation, external motivation, attitude towards behavior, and perceived behavioral control on retail consumer’s intention to consume fortified food in Pakistan. Research design, data, and methodology: The study was quantitative in nature. That is why the data were collected from 384 respondents approaching retail stores of Lahore, Gujranwala, and Faisalabad using mall intercept survey. Partial least squares structural equation modeling (PLS-SEM) was used to analyze the data. Results: The results show that approval goals significantly influence subjective norms. Secondly, subjective norms positively influence internal and external motivation. Thirdly, attitude towards behavior and internal motivation significantly impacted on intention. However, the findings of the study show, non-significant relationship of external motivation and perceived behavioral control with intention to consume fortified food. Conclusion: Theory of reasoned goal pursuit was used to investigate consumer intention to consume fortified food in Pakistan. This study is helpful for the marketers to create a word-of-mouth strategy to enhance positive word of mouth for the company, which ultimately beneficial to develop the distribution strategy of the firm. Fortified food is full of health enriched ingredients which is beneficial for society at large.
Biologically Active C-Alkylated Flavonoids from Dodonaea viscosa
Akhtar Muhammad,Itrat Anis,Ajmal Khan,Bishnu P. Marasini,Muhammad Iqbal Choudhary,Muhammad Raza Shah 대한약학회 2012 Archives of Pharmacal Research Vol.35 No.3
A new C-alkylated flavonoid (5,7-dihydroxy-3'-(4''-acetoxy-3''-methylbutyl)-3,6,4'-trimethoxyflavone (1), along with two known C-alkylated flavonoids (5,7-dihydroxy-3'-(3-hydroxymethylbutyl)-3,6,4'-trimethoxyflavone (2), 5,7,4'-trihydroxy-3'-(3-hyroxymethylbutyl)-3,6-dimethoxyflavone (3) and two new source C-alkylated flavonoids (5,7-dihydroxy-3'-(2-hydroxy-3-methyl-3-butenyl)-3,6,4'-trimethoxyflavone (4), 5,7,4'-trihydroxy-3,6-dimethoxy-3'-isoprenyl-flavone (5) were isolated from the aerial parts of Dodonaea viscosa. The structures of all compounds were established on the basis of 1D and 2D NMR spectroscopy and mass spectrometry. The isolated compounds were evaluated for their inhibitory effect on urease and α-chymotrypsin enzyme. All the compounds (1-5) exhibited mild inhibition against urease but remained recessive in case of α-chymotrypsin.
Lipid and Protein Constituents of Crotalaria juncea L.
Muhammad Akhtar Javed,Muhammad Saleem,Muhammad Yamin,Tanvir Ahmad Chaudri 한국생약학회 1999 Natural Product Sciences Vol.5 No.3
Seed lipids and proteins of Crotalaria juncea L were analyzed for fatty acids and amino acids respectively. Gas chromatographic analysis of the oil gave palmitic acid (16.01%), stearic acid (7.29%), oleic acid (14.41%), linoleic acid (54.44%) and linolenic acid (7.86%). The defatted seed cake contained all the essential amino acids except methionine and six non-essential amino acids.
An Application of Machine Learning in Retail for Demand Forecasting
Muhammad Umer Farooq,Mustafa Latif,Waseem,Mirza Adnan Baig,Muhammad Ali Akhtar,Nuzhat Sana International Journal of Computer ScienceNetwork S 2023 International journal of computer science and netw Vol.23 No.8
Demand prediction is an essential component of any business or supply chain. Large retailers need to keep track of tens of millions of items flows each day to ensure smooth operations and strong margins. The demand prediction is in the epicenter of this planning tornado. For business processes in retail companies that deal with a variety of products with short shelf life and foodstuffs, forecast accuracy is of the utmost importance due to the shifting demand pattern, which is impacted by an environment of dynamic and fast response. All sectors strive to produce the ideal quantity of goods at the ideal time, but for retailers, this issue is especially crucial as they also need to effectively manage perishable inventories. In light of this, this research aims to show how Machine Learning approaches can help with demand forecasting in retail and future sales predictions. This will be done in two steps. One by using historic data and another by using open data of weather conditions, fuel, Consumer Price Index (CPI), holidays, any specific events in that area etc. Several machine learning algorithms were applied and compared using the r-squared and mean absolute percentage error (MAPE) assessment metrics. The suggested method improves the effectiveness and quality of feature selection while using a small number of well-chosen features to increase demand prediction accuracy. The model is tested with a one-year weekly dataset after being trained with a two-year weekly dataset. The results show that the suggested expanded feature selection approach provides a very good MAPE range, a very respectable and encouraging value for anticipating retail demand in retail systems.
Irradiation applications for polymer nano-composites: A state-of-the-art review
Muhammad Jawwad Saif,Muhammad Naveed,Hafiz Muhammad Asif,Rabia Akhtar 한국공업화학회 2018 Journal of Industrial and Engineering Chemistry Vol.60 No.-
In recent years, irradiation treatment has emerged as a popular technique for modification of nanostructures in fabrication of high performance polymer composites. The conventional modification methods typically involve expensive chemicals, difficult processing techniques and specialized chemistry. However, the irradiation treatment is considered simple, rapid and “green” technique that operates under ambient conditions and the product is free of residual initiators and modifiers. Such modifications develop strong interfacial matrix-nanostructure interactions and exhibit notable advantages as compared to chemical approaches. High energy radiations have beneficial effects for tailoring structure and properties of nano-systems with high precision. The irradiation processes, mechanisms, strategies and composites are reviewed in this article along with the potential applications and future challenges.
Akhtar, Noreen,Bilal, Muhammad,Rizwan, Muhammad,Khan, Muhammad Asif,Khan, Aurangzeb Asian Pacific Journal of Cancer Prevention 2015 Asian Pacific journal of cancer prevention Vol.16 No.3
Hepatitis C is a blood-borne infectious disease of liver, caused by a small enveloped, positive-single stranded RNA virus, called the hepatitis C virus (HCV). HCV belongs to the Flaviviridae family and has 6 genotypes and more than 100 subtypes. It is estimated that 185 million people are infected with HCV worldwide and 5% of these are in Pakistan. The study was designed to evaluate different genotypes of HCV circulating in District Mardan and to know about the behavior of these genotypes to different anti-viral regimes. In this study 3,800 patients were exposed to interferon alfa-2a plus Ribavirin treatment for 6-months and subjected to real-time PCR to check the viral response. Among these 3,677 (97%) patients showed no detectable HCV RNA while 123 (3%) patients (non-responders) remained positive for HCV RNA. Genotypes of their analyzed showed that most of them belonged to the 3a genotype. Non-responders (123) and relapsed (5) patients were subjected to PEG-interferon and Ribavirin therapy for next 6 months, which resulted into elimination of HCV RNA from 110 patients. The genotypes of the persisting resistant samples to anti-viral treatment were 3b, 2a, 1a and 1b. Furthermore, viral RNA from 6 patients remained un-typed while 4 patients showed mixed infections. HCV was found more resistant to antiviral therapy in females as compared to mals. The age group 36-45 in both females and males was found most affected by infection. In general 3a is the most prevalent genotype circulating in district Mardan and the best anti-viral therapy is PEG-interferon plus Ribavirin but it is common practice that due to the high cost patients receive interferon alfa-2a plus Ribavirin with consequent resistance in 3% patients given this treatment regime.
Muhammad Arif,Abdur Rehman,Mohamed E. Abd El-Hack,Muhammad Saeed,Fateh Khan,Muhammad Akhtar,Ayman A. Swelum,Islam M. Saadeldin,Abdullah N. Alowaimer 아세아·태평양축산학회 2018 Animal Bioscience Vol.31 No.12
Objective: The present study attempted to determine safe and sufficient growth promoters in poultry feeding. Methods: A total of 520 seven-day-old quail chicks were randomly allotted to eight treatment groups in a 4×2 factorial design experiment to evaluate the effect of different levels of humic acid (HA) and black cumin (BC) seed and their interactions on growth, carcass traits, gut microbes, and blood chemistry of growing quails. Quails were randomly distributed into 8 groups in a 4×2 factorial design, included 4 HA levels (0, 0.75, 1.5, and 2.25 g/kg diet) and 2 BC levels (0 or 5 g/ kg diet). Results: Increasing HA level associated with a gradual increase in final weight, feed intake and body weight gain along with an improvement in feed conversion ratio. Dietary addition of 5 g BC powder/kg diet gave similar results. The highest level of HA (2.25 g/kg diet) recorded the best values of carcass weight, breast yield, intestinal length, and intestinal weight comparing with the control and other HA levels. Total viable microbial counts decreased (p<0.05) with increasing levels of HA except the intermediate level (1.5 g/kg diet). The concentration of serum cholesterol and low density lipoprotein (excluding that 0.75 g HA) decreased (p<0.05) and high density lipoprotein increased (p = 0.034) along with increasing HA level. The interaction between the 2.25 g HA×5 g gave the best results regarding most studied parameters. Conclusion: These findings indicated that HA combined with BC could be used as effective growth promoters, with the recommended level being 2.25 g HA+5 g BC/kg of quail diet.