Uttam Kumer Sarker¹, A. N. Md. Anamul Karim¹, F. M. Jamil Uddin¹, Ahmed Khairul Hasan¹, Najrul Islam¹, Md. Romij Uddin^1,*, Md. Alamgir Hossain², Sabry Hassan³, Mohamed M. Hassan³, Mahmoud F. K. Soliman⁴

Phyton-International Journal of Experimental Botany, Vol.91, No.12, pp. 2775-2789, 2022, DOI:10.32604/phyton.2022.023112 - 29 August 2022

Abstract Chickpea yield is decreasing day by day due to drought stress, which could be an immense risk for future food security in developing countries. Management practices could be the most excellent approach to diminish loss due to this abiotic factor. The current research work was designed to explore the tolerance reaction of chickpea genotypes against management practices, through morphological and biochemical parameters and evaluate yield performance across drought prone location of Bangladesh. Four genotypes BD-6048, BD-6045, BD-6090, BD-6092 and eight management practices, e.g., severe water stress (SWS), i.e., without irrigation, 10 cm thick mulching with… More >

Iqra Ishaaq¹, Muhammad Umer Farooq^1,2,3,4,*, Syeda Anjum Tahira², Rizwana Maqbool¹, Celaleddin Barutçular³, Muhammad Yasir⁵, Saira Bano², Zaid Ulhassan⁶, Ghassan Zahid⁷, Muhammad Ahsan Asghar⁸, Sajad Hussain⁹, Kocsy Gabor⁸, Ulkar Ibrahimova^10,11, Jianqing Zhu⁴, Anshu Rastogi^12,*

Phyton-International Journal of Experimental Botany, Vol.91, No.12, pp. 2733-2758, 2022, DOI:10.32604/phyton.2022.022094 - 29 August 2022

Abstract Drought is the major detrimental environmental factor for wheat (Triticum aestivum L.) production. The exploration of genetic patterns underlying drought tolerance is of great significance. Here we report the gene actions controlling the phenological traits using the line × tester model studying 27 crosses and 12 parents under normal irrigation and drought conditions. The results interpreted via multiple analysis (mean performance, correlations, principal component, genetic analysis, heterotic and heterobeltiotic potential) disclosed highly significant differences among germplasm. The phenological waxiness traits (glume, boom, and sheath) were strongly interlinked. Flag leaf area exhibits a positive association with peduncle… More >

Jamie Penno^*, Sarah Hetrick, Grant Christie

International Journal of Mental Health Promotion, Vol.24, No.5, pp. 771-781, 2022, DOI:10.32604/ijmhp.2022.020090 - 27 July 2022

Abstract The mental health of New Zealand’s adolescents is, by global standards, remarkably poor. Addressing such mental health needs is not only pertinent with regards to the quality of life of our young people, but also the health of our society as a whole, with current unmet youth mental health needs becoming future adult population health deficits. While an array of evidence-based psychotherapies are available as treatment, our knowledge of the mechanism of actions underlying each of these is lacking. We propose that the practice of goal setting as a therapeutic technique may represent not only… More >

Shun Kang¹, Xun Yuan¹, Changwu Liu^1,*, Yulin Chen¹, Xianliang Zhou¹, Haikuan Wu², Zhiguo Ma³

Journal of Renewable Materials, Vol.10, No.12, pp. 3521-3538, 2022, DOI:10.32604/jrm.2022.021694 - 14 July 2022

Abstract Part of the tunnel spoil can not be used for concrete due to alkali-aggregate reaction (AAR). Water is an indispensable condition for AAR, so separating the alkali-aggregate from water is of great benefit to controlling the AAR. This paper investigates the modification of concrete and aggregate by hydrophobic impregnation and organic coating and then evaluates their waterproof and mechanical properties by dynamic contact angle (DCA), ultrasonic wave velocity, scanning electron microscope (SEM), nuclear magnetic resonance (NMR), and so on. For waterproofness, hydrophobic impregnation and organic coating can both improve the waterproofness of concrete and aggregate.… More >

Dong Yan^1,#, Chunxiao Li^2,#, Yantong Zhou², Xue Yan¹, Weihua Zhi¹, Haili Qian^2,*, Yue Han^1,*

Oncologie, Vol.24, No.1, pp. 101-111, 2022, DOI:10.32604/oncologie.2022.020357 - 31 March 2022

Abstract Hepatocellular carcinoma (HCC) is one of the most deadly types of cancer. Sorafenib is currently the only available first-line molecular targeted drug approved by the FDA for HCC. However, primary and secondary resistance is often encountered with treatment with sorafenib. Genomic alterations found in HCC represent potential targets to develop new drugs or new combinational strategies against this type of cancer. Here we analyzed genomic alterations from the TCGA database of HCC samples and the corresponding targeted drugs available to the clinic to identify candidate drugs that might hold promise when used in combination with… More >

Anshul Sharma¹, Divneet Singh Kapoor¹, Anand Nayyar^2,3,*, Basit Qureshi⁴, Kiran Jot Singh¹, Khushal Thakur¹

CMC-Computers, Materials & Continua, Vol.71, No.3, pp. 6239-6256, 2022, DOI:10.32604/cmc.2022.024639 - 14 January 2022

Abstract The simultaneous advances in the Internet of Things (IoT), Artificial intelligence (AI) and Robotics is going to revolutionize our world in the near future. In recent years, LoRa (Long Range) wireless powered by LoRaWAN (LoRa Wide Area Network) protocol has attracted the attention of researchers for numerous applications in the IoT domain. LoRa is a low power, unlicensed Industrial, Scientific, and Medical (ISM) band-equipped wireless technology that utilizes a wide area network protocol, i.e., LoRaWAN, to incorporate itself into the network infrastructure. In this paper, we have evaluated the LoRaWAN communication protocol for the implementation of… More >

Novak Zagradjanin^1,*, Dragan Pamucar², Kosta Jovanovic¹, Nikola Knezevic¹, Bojan Pavkovic³

Intelligent Automation & Soft Computing, Vol.32, No.3, pp. 1369-1386, 2022, DOI:10.32604/iasc.2022.021979 - 09 December 2021

Abstract An autonomous robot is often in a situation to perform tasks or missions in an initially unknown environment. A logical approach to doing this implies discovering the environment by the incremental principle defined by the applied exploration strategy. A large number of exploration strategies apply the technique of selecting the next robot position between candidate locations on the frontier between the unknown and the known parts of the environment using the function that combines different criteria. The exploration strategies based on Multi-Criteria Decision-Making (MCDM) using the standard SAW, COPRAS and TOPSIS methods are presented in… More >

Wadhah Zeyad Tareq^*, Mehmet Fatih Amasyali

CMC-Computers, Materials & Continua, Vol.70, No.2, pp. 2401-2414, 2022, DOI:10.32604/cmc.2022.020036 - 27 September 2021

Abstract The main idea of reinforcement learning is evaluating the chosen action depending on the current reward. According to this concept, many algorithms achieved proper performance on classic Atari 2600 games. The main challenge is when the reward is sparse or missing. Such environments are complex exploration environments like Montezuma’s Revenge, Pitfall, and Private Eye games. Approaches built to deal with such challenges were very demanding. This work introduced a different reward system that enables the simple classical algorithm to learn fast and achieve high performance in hard exploration environments. Moreover, we added some simple enhancements… More >

Mustafa Youldash¹, Saleh Al-Dossary^2,*, Lama AlDaej¹, Farah AlOtaibi¹, Asma AlDubaikil¹, Noora AlBinali¹, Maha AlGhamdi¹

Computer Systems Science and Engineering, Vol.40, No.2, pp. 619-628, 2022, DOI:10.32604/csse.2022.017733 - 09 September 2021

Abstract The seismic reflection method is one of the most important methods in geophysical exploration. There are three stages in a seismic exploration survey: acquisition, processing, and interpretation. This paper focuses on a pre-processing tool, the Non-Local Means (NLM) filter algorithm, which is a powerful technique that can significantly suppress noise in seismic data. However, the domain of the NLM algorithm is the whole dataset and 3D seismic data being very large, often exceeding one terabyte (TB), it is impossible to store all the data in Random Access Memory (RAM). Furthermore, the NLM filter would require More >

S. Palani Murugan^1,*, M. Chinnadurai¹, S. Manikandan²

CMC-Computers, Materials & Continua, Vol.70, No.1, pp. 181-194, 2022, DOI:10.32604/cmc.2022.016152 - 07 September 2021

Abstract The development of intelligent algorithms for controlling autonom- ous mobile robots in real-time activities has increased dramatically in recent years. However, conventional intelligent algorithms currently fail to accurately predict unexpected obstacles involved in tour paths and thereby suffer from inefficient tour trajectories. The present study addresses these issues by proposing a potential field integrated pruned adaptive resonance theory (PPART) neural network for effectively managing the touring process of autonomous mobile robots in real-time. The proposed system is implemented using the AlphaBot platform, and the performance of the system is evaluated according to the obstacle prediction More >