The integration of High-Altitude Platform Stations(HAPS)with Reconfigurable Intelligent Surfaces(RIS)represents a critical advancement for next-generation wireless networks,offering unprecedented opportunities for ubi...The integration of High-Altitude Platform Stations(HAPS)with Reconfigurable Intelligent Surfaces(RIS)represents a critical advancement for next-generation wireless networks,offering unprecedented opportunities for ubiquitous connectivity.However,existing research reveals significant gaps in dynamic resource allocation,joint optimization,and equitable service provisioning under varying channel conditions,limiting practical deployment of these technologies.This paper addresses these challenges by proposing a novel Fairness-Aware Deep Q-Learning(FAIRDQL)framework for joint resource management and phase configuration in HAPS-RIS systems.Our methodology employs a comprehensive three-tier algorithmic architecture integrating adaptive power control,priority-based user scheduling,and dynamic learning mechanisms.The FAIR-DQL approach utilizes advanced reinforcement learning with experience replay and fairness-aware reward functions to balance competing objectives while adapting to dynamic environments.Key findings demonstrate substantial improvements:9.15 dB SINR gain,12.5 bps/Hz capacity,78%power efficiency,and 0.82 fairness index.The framework achieves rapid 40-episode convergence with consistent delay performance.These contributions establish new benchmarks for fairness-aware resource allocation in aerial communications,enabling practical HAPS-RIS deployments in rural connectivity,emergency communications,and urban networks.展开更多
The potential for biotechnological applications in crop improvement programs requires identifying genotypes that allow cell/tissue culture with predictable plant regeneration. In the past, many genotypes of wheat (Tri...The potential for biotechnological applications in crop improvement programs requires identifying genotypes that allow cell/tissue culture with predictable plant regeneration. In the past, many genotypes of wheat (Triticum aestivum L.) have been examined for potential use in tissue culture studies. The present research work has also been designed to study in vitro callogenesis expression and regeneration potential of wheat cultivars under controlled laboratory conditions. Seeds of four elite commercial high yielding cultivars of wheat namely: NARC-2011, AAS-2011, PAK-2013 and GAL-2013, were collected from the Crop Science Institute National Agricultural Research Center (CSI-NARC) Islamabad, as the source of plant material for in vitro studies. The seeds were surface sterilized in 10% sodium hypochlorite solutions for 10 minutes with continuous shaking under laminar air flow hood. After that seeds were placed on MS (Murashige & Skoog, 1962) based callus induction and regeneration medium with various concentrations of 2, 4-D and BAP in separate test tubes. Maximum callus induction frequency of 90% for Pak-13 and AAS-11, followed by 87% and 83% for Gla-13 and NARC-11, respectively, was recorded at 4 mg/l and 6 mg/l of 2, 4-D. Similarly, maximum regeneration of 90% for AAS-11 and Pak-13, followed by 80% and 87% for NARC-11 and Gla-13 respectively, was recorded on MS basal medium containing 1.5 mg/l of BAP. An increasing trend in regeneration from 0.5 to 1.5 mg/l of BAP was observed but it gradually decreased with increasing concentration of BAP from 1.5 mg/l for all wheat cultivars. The callus formed under light was golden brown, dry nodule and smooth compact and less embryogenic while under dark conditions, it was white to yellowish white, dry nodule and compact and more embryogenic. Best results for callus induction and regeneration were obtained at temperature (24°C ± 1°C) for all wheat cultivars.展开更多
Withania somnifera is highly medicinal plant species of Pakistan floristically placed in the Western Himalayan Province, Himalaya Range of Azad Jammu and Kashmir and in the Soon valley (Salt Range) of Punjab Pakistan....Withania somnifera is highly medicinal plant species of Pakistan floristically placed in the Western Himalayan Province, Himalaya Range of Azad Jammu and Kashmir and in the Soon valley (Salt Range) of Punjab Pakistan. It grows in high altitude of 5500 feet in the Himalayas. Its English name is Winter Cherry and its Urdu name is Asghand/Kutilal. It is the low lying shrub of about 1.50 m in height with erect branching. It grows in dry arid regions of Pakistan, India, China and Bangladesh. Its flowers are bisexual, small, axillary, greenish, solitary and few-flowered cymes. Chemical analysis of Ashwagandha showed that it has alkaloids and steroidal lactones (withanolides) as the main chemical constituent. W. somnifera has not yet been assessed for the IUCN Red List. However, in Pakistan, W. somnifera is falling under criteria A of endangered category. Asghand (W. somnifera) acquires much therapeutic potential which include sedative, narcotic, thyroid stimulation, anti-inflammatory, hypnotic, anti-stress, general tonic, diuretic, antimicrobial, and antitumor activities. There are number of threats responsible for the decrease of W. somnifera number in western Himalayan range and salt range of Punjab Pakistan which may include deforestation over exploitation and climatic changes. Conservation strategies need to be adopted for improving the population pool of W. somnifera. There is also the dire need to conserve this important medicinal plant species with some standard biotechnological approaches and conservation strategies in future.展开更多
基金supported by the Princess Nourah bint Abdulrahman University Researchers Supporting Project,number PNURSP2025R757Princess Nourah bint Abdulrahman University,Riyadh,Saudi Arabia.
文摘The integration of High-Altitude Platform Stations(HAPS)with Reconfigurable Intelligent Surfaces(RIS)represents a critical advancement for next-generation wireless networks,offering unprecedented opportunities for ubiquitous connectivity.However,existing research reveals significant gaps in dynamic resource allocation,joint optimization,and equitable service provisioning under varying channel conditions,limiting practical deployment of these technologies.This paper addresses these challenges by proposing a novel Fairness-Aware Deep Q-Learning(FAIRDQL)framework for joint resource management and phase configuration in HAPS-RIS systems.Our methodology employs a comprehensive three-tier algorithmic architecture integrating adaptive power control,priority-based user scheduling,and dynamic learning mechanisms.The FAIR-DQL approach utilizes advanced reinforcement learning with experience replay and fairness-aware reward functions to balance competing objectives while adapting to dynamic environments.Key findings demonstrate substantial improvements:9.15 dB SINR gain,12.5 bps/Hz capacity,78%power efficiency,and 0.82 fairness index.The framework achieves rapid 40-episode convergence with consistent delay performance.These contributions establish new benchmarks for fairness-aware resource allocation in aerial communications,enabling practical HAPS-RIS deployments in rural connectivity,emergency communications,and urban networks.
文摘The potential for biotechnological applications in crop improvement programs requires identifying genotypes that allow cell/tissue culture with predictable plant regeneration. In the past, many genotypes of wheat (Triticum aestivum L.) have been examined for potential use in tissue culture studies. The present research work has also been designed to study in vitro callogenesis expression and regeneration potential of wheat cultivars under controlled laboratory conditions. Seeds of four elite commercial high yielding cultivars of wheat namely: NARC-2011, AAS-2011, PAK-2013 and GAL-2013, were collected from the Crop Science Institute National Agricultural Research Center (CSI-NARC) Islamabad, as the source of plant material for in vitro studies. The seeds were surface sterilized in 10% sodium hypochlorite solutions for 10 minutes with continuous shaking under laminar air flow hood. After that seeds were placed on MS (Murashige & Skoog, 1962) based callus induction and regeneration medium with various concentrations of 2, 4-D and BAP in separate test tubes. Maximum callus induction frequency of 90% for Pak-13 and AAS-11, followed by 87% and 83% for Gla-13 and NARC-11, respectively, was recorded at 4 mg/l and 6 mg/l of 2, 4-D. Similarly, maximum regeneration of 90% for AAS-11 and Pak-13, followed by 80% and 87% for NARC-11 and Gla-13 respectively, was recorded on MS basal medium containing 1.5 mg/l of BAP. An increasing trend in regeneration from 0.5 to 1.5 mg/l of BAP was observed but it gradually decreased with increasing concentration of BAP from 1.5 mg/l for all wheat cultivars. The callus formed under light was golden brown, dry nodule and smooth compact and less embryogenic while under dark conditions, it was white to yellowish white, dry nodule and compact and more embryogenic. Best results for callus induction and regeneration were obtained at temperature (24°C ± 1°C) for all wheat cultivars.
文摘Withania somnifera is highly medicinal plant species of Pakistan floristically placed in the Western Himalayan Province, Himalaya Range of Azad Jammu and Kashmir and in the Soon valley (Salt Range) of Punjab Pakistan. It grows in high altitude of 5500 feet in the Himalayas. Its English name is Winter Cherry and its Urdu name is Asghand/Kutilal. It is the low lying shrub of about 1.50 m in height with erect branching. It grows in dry arid regions of Pakistan, India, China and Bangladesh. Its flowers are bisexual, small, axillary, greenish, solitary and few-flowered cymes. Chemical analysis of Ashwagandha showed that it has alkaloids and steroidal lactones (withanolides) as the main chemical constituent. W. somnifera has not yet been assessed for the IUCN Red List. However, in Pakistan, W. somnifera is falling under criteria A of endangered category. Asghand (W. somnifera) acquires much therapeutic potential which include sedative, narcotic, thyroid stimulation, anti-inflammatory, hypnotic, anti-stress, general tonic, diuretic, antimicrobial, and antitumor activities. There are number of threats responsible for the decrease of W. somnifera number in western Himalayan range and salt range of Punjab Pakistan which may include deforestation over exploitation and climatic changes. Conservation strategies need to be adopted for improving the population pool of W. somnifera. There is also the dire need to conserve this important medicinal plant species with some standard biotechnological approaches and conservation strategies in future.
