Zahoor Ahmad^1,2,*, Ejaz Ahmad Waraich³, Muhammad Zia ur Rehman⁴, Muhammad Ashar Ayub⁴, Muhammad Usman⁴, Hesham Alharby⁵, Atif Bamagoos⁵, Celaleddin Barutçular¹, Muhammad Ali Raza⁶, Fatih Çiğ⁷, Ayman El Sabagh^7,8,*

Phyton-International Journal of Experimental Botany, Vol.90, No.2, pp. 503-514, 2021, DOI:10.32604/phyton.2021.013588

Abstract Water is essential for the growth period of crops; however, water unavailability badly affects the growth and physiological attributes of crops, which considerably reduced the yield and yield components in crops. Therefore, a pot experiment was conducted to investigate the effect of foliar phosphorus (P) on morphological, gas exchange, biochemical traits, and phosphorus use efficiency (PUE) of maize (Zea mays L.) hybrids grown under normal as well as water deficit situations at the Department of Agronomy, University of Agriculture Faisalabad, Pakistan in 2014. Two different treatments (control and P @ 8 kg ha⁻¹ ) and four hybrids (Hycorn, 31P41, 65625,… More >

Adnan¹, Umar Khan², Naveed Ahmed³, Syed Tauseef Mohyud-Din⁴, Ilyas Khan^5,*, Dumitru Baleanu^6,7,8, Kottakkaran Sooppy Nisar⁹

CMC-Computers, Materials & Continua, Vol.66, No.2, pp. 1563-1576, 2021, DOI:10.32604/cmc.2020.012326

Abstract Thermal transport investigation in colloidal suspensions is taking a significant research direction. The applications of these fluids are found in various industries, engineering, aerodynamics, mechanical engineering and medical sciences etc. A huge amount of thermal transport is essential in the operation of various industrial production processes. It is a fact that conventional liquids have lower thermal transport characteristics as compared to colloidal suspensions. The colloidal suspensions have high thermal performance due to the thermophysical attributes of the nanoparticles and the host liquid. Therefore, researchers focused on the analysis of the heat transport in nanofluids under diverse circumstances. As such, the… More >

Nazish Naheed¹, Muhammad Shaheen¹, Sajid Ali Khan¹, Mohammed Alawairdhi^2,*, Muhammad Attique Khan^3,*

CMES-Computer Modeling in Engineering & Sciences, Vol.125, No.1, pp. 315-344, 2020, DOI:10.32604/cmes.2020.011380

Abstract In the area of pattern recognition and machine learning, features play a key role in prediction. The famous applications of features are medical imaging, image classification, and name a few more. With the exponential growth of information investments in medical data repositories and health service provision, medical institutions are collecting large volumes of data. These data repositories contain details information essential to support medical diagnostic decisions and also improve patient care quality. On the other hand, this growth also made it difficult to comprehend and utilize data for various purposes. The results of imaging data can become biased because of… More >

Taemin Lee¹, Dongwann Kang², Kyunghyun Yoon¹, Sanghyun Seo^3,*

Intelligent Automation & Soft Computing, Vol.26, No.1, pp. 181-192, 2020, DOI:10.31209/2019.100000139

Abstract As mobile devices have tremendously developed, people can now get sensor data easily. These data are not only physical data such as temperature, humidity, gravity, acceleration, etc. but also human health data such as blood pressure, heart pulse rate, etc. With this information, Internet of Things (IoT) technology has provided many systems to support human health care. Systems for human health care support physical health care like checking blood pressure, pulse rate, etc. However, the demand for physical health care as well as mental health care is increasing. So, a system, which automatically recommends a painting to users based on… More >

Min Cao¹, Sijing Zhou¹, Honghao Gao^1,2,3

Intelligent Automation & Soft Computing, Vol.25, No.3, pp. 595-604, 2019, DOI:10.31209/2019.100000114

Abstract Recommender methods using reviews have become an area of active research in e-commerce systems. The use of auxiliary information in reviews as a way to effectively accommodate sparse data has been adopted in many fields, such as the product field. The existing recommendation methods using reviews typically employ aspect preference; however, the characteristics of product reviews are not considered adequate. To this end, this paper proposes a novel recommendation approach based on using product attributes to improve the efficiency of recommendation, and a hybrid collaborative filtering is presented. The product attribute model and a new recommendation ranking formula are introduced… More >

Muhammad Zafar-ul-Hye^1,*, Misbah Batool Zahra¹, Subhan Danish¹, Mazhar Abbas², Abdur Rehim¹, Muhammad Naeem Akbar¹, Ayesha Iftikhar¹, Mehreen Gul¹, Ifat Nazir¹, Maria Abid¹, Muhammad Tahzeeb-ul-Hassan¹, Maria Murtaza³

Phyton-International Journal of Experimental Botany, Vol.89, No.2, pp. 405-413, 2020, DOI:10.32604/phyton.2020.08918

Abstract Rhizosphere bacteria that colonize plant roots and confer beneficial effects are referred as plant growth promoting rhizobacteria (PGPR). Among all PGPR, some rhizobacteria have an ability to produce ACC deaminase enzyme. This enzyme catalyzes stress ACC into a-ketobutyrate and ammonia instead of letting it to be converted to ethylene. Ethylene level rises in plants under stress conditions i.e., drought, salinity, poor soil fertility etc. As poor soil fertility is a big hurdle to achieve the optimum yield of crops, inoculation of ACC deaminase PGPR can overcome this problem to some extent. The aim of the current study was to examine… More >

Villamil MB¹, NM Amiotti², N Peinemann³

Phyton-International Journal of Experimental Botany, Vol.80, pp. 193-201, 2011, DOI:10.32604/phyton.2011.80.193

Abstract Demand for greater cattle production at the El Caldenal area in central Argentina has resulted in overgrazing in a patchy grassland structure. Patches are clearly identified on the basis of dominant plant species resulting from their grazing history. Our primary objective was to examine the influence of individual plants at each patch on the local multivariate pattern of soil nutrients, assessing the magnitude of the association between the concentration of nutrients in the plant and its underlying soil. Canonical discriminant analysis highlighted the important role of soil organic matter, available P, and Zn content of soils to segregate among patches.… More >

Miravalles¹ M, V Beaufort², F Möckel¹

Phyton-International Journal of Experimental Botany, Vol.77, pp. 263-273, 2008, DOI:10.32604/phyton.2008.77.263

Abstract Blackpoint incidence was assessed on grain from six durum wheat (Triticum durum Desf.) varieties grown during crop season 2004-05 at four sites, in the traditional durum wheat growing region of Argentina. Broad differences in grain discolouration were detected among sites and varieties, together with significant variety x site interactions. Among varieties, those with lower thousand grain weight and higher widthto- length ratio (proportionally shorter grains) showed less susceptibility to this disease than heavy/large grain varieties. Differences among sites in the levels of blackpoint incidence were also related to the physical attributes of grains revealing the strong influence of the environment… More >

Qayyum S¹, SA Majid¹, A Bibi², A Ulfat¹, K Khanum¹, A Munir¹, S Nisar¹, S Aziz¹, N Mumtaz¹

Phyton-International Journal of Experimental Botany, Vol.87, pp. 191-197, 2018, DOI:10.32604/phyton.2018.87.191

Abstract Maize (Zea mays L., the third most important cereal crop after wheat and rice, is the major kharif (summer) crop of rainfed areas in Pakistan. The yield per hectare and total production of maize in Pakistan is low versus an exponentially increasing population. The objective of this work was to study the interactive effects of phytohormones [Gibberellic acid (GA), Sodium nitroprusside (SNP), Abscicic acid (ABA) and kinetin (KIN)] on morphological, physiological and biochemical parameters during the germination of maize seeds. Seeds were presoaked in different hormones, separately or in combinations. Priming with GA+SNP+ABA+KIN enhanced the total fresh (TFW) and dry… More >