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Background Because of their ecological, aesthetic, and beneficial characteristics, native desert plants are highly significant. They can also be utilized in landscape architecture, particularly in environments with harsh conditions. The present study aims to evaluate the potential utilization of the wild desert plants Pancratium maritimum L. (Amaryllidaceae) and Artemisia herba-alba Asso (Asteraceae) in sustainable landscape architecture strategies. Result Pot experiments were conducted, including different water regimes and soil types. In the case of P. maritimum , all growth parameters showed significant differences (P˂ 0.001) among the water regime treatments, except ground cover. The same trend was notable between the two soil types, except for leaf area and maximum leaf length. Results recommended irrigating P. maritimum to 75% of field capacity when reached 30% in sandy soil (W2S5) due to its comparatively low water consumption (70 ± 12 L/ month/ m 2 ) and relatively minimal effort, while maintaining the plant’s aesthetic value showing considerable values of growth parameters and being not significantly different from highest emmeans for each studied growth parameters. In the experiment of A. herba-alba , all growth parameters showed significant differences (P˂ 0.001) among the water regime treatments, with notable significant variations between the two soil types in all growth parameters. The results recommended irrigating A. herba-alba to 75% of field capacity when 35% is reached in its native soil (W2S2), as it shows the highest emmean value for all studied growth parameters. According to our findings, P. maritimum was successfully propagated by bulb, resulting in a 100% success rate. A. herba-alba demonstrated successful vegetative propagation by stem cuttings; both herbaceous and semi-woody, retaining its attractive appearance. Herbaceous cuttings of A. herba-alba are more successful in propagation, especially when using sandy soil in spring. Conclusion P. maritimum and A. herba-alba had effective strategies to mitigate the adverse effects of drought stress. The present preliminary investigation’s findings may substantially improve water valorization by using native plants in landscaping, especially in arid and semi-arid regions. Graphical abstract

Indoor environment classification, also known as indoor environment recognition, is a highly appreciated perceptual ability in mobile robots. In this paper, we present a novel approach which is centered on biologically inspired methods for recognition and representation of indoor environments. First, global visual features are extracted by using the GIST descriptor, and then we use the subsequent features for training the discriminative deep belief network (DDBN) classifier. DDBN employs a new deep architecture which is based on restricted Boltzmann machines (RBMs) and the joint density model. The back-propagation technique is used over the entire classifier to fine-tune the weights for an optimum classification. The acquired experimental results validate our approach as it performs well both in the real-world and in synthetic datasets and outperforms the Convolution Neural Networks (ConvNets) in terms of computational efficiency.

Tench, Tinca tinca (L.) was introduced as a new species to Chinese aquaculture in 1998. Biological characteristics of tench are studied, and propagation techniques are improved at the Hubei Province Fisheries Institute with co-operation with the Research Institute of Fish Culture and Hydrobiology in Czech Republic and Institute of Hydrobiology, Chinese Academy of Sciences. The first successful artificial propagation of tench in China was made in 2000. The number of produced tench larvae increased from 5 millions in 2001 to 20 millions in 2002, and to 200 millions in 2003. The number of juveniles >5 cm reached 12 millions in 2002 and 120 millions in 2003. Total area of ponds with tench culture was 1400 ha in 2002 and 5400 ha in 2003. Main problems that hinder development of tench culture in China are identified, and future prospects of tench farming in China are highlighted. Abundant water bodies for aquaculture and cheap man-power make the export of tench from China to Europe, USA, Australia and Korea a promising activity.

This chapter contains sections titled: Introduction Methods and approaches Troubleshooting References

Induction coils permit the measurement of small and very rapid changes of the magnetic field. A new set of induction coils in the UK (at L = 3.2) record magnetic field changes over an effective frequency range of 0.1–40 Hz, encompassing phenomena such as the Schumann resonances, magnetospheric pulsations and ionospheric Alfvén resonances (IARs). The IARs typically manifest themselves as a series of spectral resonance structures (SRSs) within the 1–10 Hz frequency range, usually appearing as fine bands or fringes in spectrogram plots and occurring almost daily during local night-time, disappearing during the daylight hours. The behaviour of the occurrence in frequency (f) and the difference in frequency between fringes (Δf) varies throughout the year. In order to quantify the daily, seasonal and annual changes of the SRSs, we developed a new method based on signal and image processing techniques to identify the fringes and to quantify the values of f, Δf and other relevant parameters in the data set. The technique is relatively robust to noise though requires tuning of threshold parameters. We analyse 18 months of induction coil data to demonstrate the utility of the method.

Llex cornuta var. fortunei S.Y.Hu is a good ornamental tree species for viewing fruits and leaves, and has a wide range of garden uses. Nutrition bowl cutting seedlings can improve the survival rate of L. cornuta var. fortunei S.Y.Hu transplanting and greening, and has the advantages of no time limit for planting and saving management costs. Based on this, this paper introduced the container seedling double-covering cutting technology for L. cornuta var. fortunei, to provide a reference for the propagation of L. cornuta var. fortunei.

This chapter provides an overview of ground‐based satellite tracking. It depicts the two‐line element (TLE)/tracklet generation from ground measurement optical telescopes and radars. The chapter shows how the TLE information can be utilized to track CubeSats with ground stations and focuses on propagation techniques. It explains the principles of operations of ground stations. These include fundamentals of antenna technology, tracking software, and challenges in CubeSat tracking. The position and velocity of a spacecraft on orbit can be characterized by different sets of orbital elements such as state vectors, TLE, and Keplerian elements. The chapter explains how to convert TLE data into azimuth and elevation values that can be used by the rotator control of a ground station antenna. Two main categories of propagation methods such as numerical methods and analytical methods are also discussed.

This article focuses on how Maoist discourse engineered revolutionary emotions as a method of political mobilization. Based on personal memoirs and eyewitness accounts, it argues that the Maoist discourse can be disaggregated into three themes, each aimed at provoking one type of emotion: the theme of victimization, which mobilized indignation in struggle campaigns; the theme of redemption, which generated guilt in thought reform campaigns; and the theme of emancipation, which raised euphoria in social transformation campaigns. It also argues that Maoist discourse propagation employed three techniques—personalization, magnification, and moralization—and emphasizes that these techniques of propagation are as important as the content of the three themes in the production of passions.

This chapter provides the state of the art in the area of centralized constraint programming. It defines the constraint satisfaction problem (CSP) formalism and presents some academic and real examples of problems modeled and solved by centralized CSP. These examples range from academic problems to real‐world applications. Then, the chapter overviews typical methods for solving centralized CSPs. These methods can be considered under two broad approaches: constraint propagation and search. In general, the search algorithms explore all possible combinations of values for the variables in order to find a solution of the problem, that is a combination of values for the variables that satisfies the constraints. The chapter summarizes the main variable ordering heuristics and briefly describes the main value ordering heuristics used in the CSPs.

This chapter explains how to combine micro and macro trading in order to form a more efficient vibrational construct. No matter how well one designs the constructs to extract trend and vibrational profit, there is no way to prevent via the deployment of vibrational mechanisms alone the collapse of the pyramidal foundation. The only way to neutralize or at least drastically reduce the possibility of a pyramidal foundational collapse is through diversification. There are six levels of diversification to ensure that our pyramidal foundation is as zero test level‐proof as possible such as oscillatory propagation technique and currency denominated risk. This chapter also highlights the three main factors which help strengthen the foundations of a pyramidal construct.