1,569 research outputs found
supplementary files
No full text<p><strong><span>Table 1. </span></strong><span>Specific cis- elements with their functioning. </span><strong><span>Table 2. </span></strong><span>Cis-Elements identified in all BoBZR1 genes with their functioning. </span><strong><span>Table 3. </span></strong><span>BoBZR1 genes expression profile toward cuticular wax biosynthesis. </span><strong><span>Table 4. </span></strong><span><span>BoBZR1 genes expression in all seven tissues.</span></span></p>
Salient Feature Detection for 3D LIDAR Registration
No full textIn this paper we propose a novel detection algorithm SKIP-3D (SKeleton Interest Point) for extraction of edges from multi-layer LIDAR scans. SKIP-3D exploits the organization of LIDAR measurements to search silent points in each layer through an iterative bottom-up procedure, removing low curvature points. The edge features from two point clouds are associated and used for their alignment. The experimental results shows that the proposed approach is efficient and reliable.https://youtu.be/4l4ynkzqqr
Understanding the Limits of LoRa Direct-to-Satellite: The Doppler Perspectives
No full textThe Long Range (LoRa) modulation enables low-cost and low-power communications, serving as the foundation for the widely adopted terrestrial low-power wide-area network (LPWAN) technology known as LoRaWAN. Owing to its effectiveness, this modulation scheme is emerging as a potential option to provide direct-to-satellite (DtS) connectivity supporting Internet-of-Things (IoT) applications in remote or hard-to-reach areas, and complementing existing terrestrial networks. Besides the link budget and interference, the Doppler effect is one of the main challenges in LoRa DtS connectivity. Earlier studies have extensively investigated the link budget and the network scalability aspects, confirming the feasibility of integrating LoRa with Low Earth Orbit (LEO) satellites. However, only a few studies examine the influence of the Doppler effect on LoRa DtS performance. Specifically, the majority of the available literature report empirical studies that analyze the Doppler effect solely for a specific set of communication parameters. There remains a need for extensive and comprehensive examination of LoRa DtS performance under a strong Doppler effect in the LEO scenario. In this paper, we discuss and thoroughly investigate the impact of the Doppler effect on the reliability of LoRa satellite links. In particular, we analytically study packet losses, distinguishing the effect of Doppler shift from Doppler rate, the latter being caused by the variation in the relative speed of LEO satellites with respect to a terrestrial IoT end-device. Our analysis accounts for the effects of key communications parameters and settings, such as bandwidths, carrier frequency, MAC payload, LEO satellite's orbital height, and LoRaWAN low data rate optimization (LDRO). Notably, the results identify the LoRa boundaries for direct to LEO satellite connectivity and can facilitate the selection of suitable parameters for future system designs. Specifically, our results demonstrate that the packet delivery ratio of the most vulnerable spreading factor, i.e., SF12, exceeds 82% when using 125 kHz bandwidth, 433 MHz carrier frequency, and 59 bytes payload for a satellite orbiting at 560 km height
Decay of Correlations via induced Weak Gibbs Markov maps for non-H\"{o}lder observables
No full textWe extend the results of [Ullah, A., Vilarinho, H,.: Statistical properties
of dynamical systems via induced weak Gibbs Markov maps. arXiv:2311.17531
(2023)] by considering larger classes of observables. More precisely, we obtain
estimates on the decay of correlations, Central Limit Theorem and Large
Deviations for dynamical systems having an induced weak Gibbs Markov map, for
larger classes of observables with weaker regularity than H\"{o}lder.Comment: arXiv admin note: substantial text overlap with arXiv:2311.1753
sj-docx-1-npx-10.1177_1934578X211031148 - Supplemental material for Antileishmanial Potential of Berberine Alkaloids From <i>Berberis glaucocarpa</i> Roots: Molecular Docking Suggests Relevant <i>Leishmania</i> Protein Targets
No full textSupplemental material, sj-docx-1-npx-10.1177_1934578X211031148 for Antileishmanial Potential of Berberine Alkaloids From Berberis glaucocarpa Roots: Molecular Docking Suggests Relevant Leishmania Protein Targets by Muhammad Alamzeb, Saqib Ali, Mamoon-Ur-Rashid, Behramand Khan, Ihsanullah, Adnan, Muhammad Omer, Asad Ullah, Javed Ali, William N. Setzer, Syed M. Salman, Ajmal Khan and Akram Shah in Natural Product Communications</p
sj-docx-2-npx-10.1177_1934578X211031148 - Supplemental material for Antileishmanial Potential of Berberine Alkaloids From <i>Berberis glaucocarpa</i> Roots: Molecular Docking Suggests Relevant <i>Leishmania</i> Protein Targets
No full textSupplemental material, sj-docx-2-npx-10.1177_1934578X211031148 for Antileishmanial Potential of Berberine Alkaloids From Berberis glaucocarpa Roots: Molecular Docking Suggests Relevant Leishmania Protein Targets by Muhammad Alamzeb, Saqib Ali, Mamoon-Ur-Rashid, Behramand Khan, Ihsanullah, Adnan, Muhammad Omer, Asad Ullah, Javed Ali, William N. Setzer, Syed M. Salman, Ajmal Khan and Akram Shah in Natural Product Communications</p
Estimating Passenger Car Equivalent Factors for Heterogeneous Traffic Using Occupancy-Density Linear Regression Model
No full textA variety of methods have been proposed in the existing literature for the estimation of passenger car equivalent (PCE) factors. These methods are based on the comparison of selected attributes of different vehicles. This research, for the first time, utilizes the basic notion of the linear relationship between road area occupancy and density for the estimation of PCE factors for different vehicle types in heterogeneous traffic. Aerial photographs obtained from an unmanned aerial vehicle (UAV) were analyzed to estimate the road area occupancy and the number of vehicles classified in seven selected groups. A linear least-squares regression model was developed between road area occupancy and classified vehicle count. The coefficients of the occupancy-density linear regression model were used to estimate PCE and motorcycle equivalent (MCE) factors. The comparison of the estimated set of PCE values with the values reported in the literature shows that PCE factors estimated using the proposed method are reasonable and produce a better occupancy-density relationship than the other studies. In comparison with the existing methods that rely on lane-based measurements, the proposed method is well suited for traffic with weak/no lane discipline, as it considers the entire road width and the dynamics of lateral movement of different types of vehicles. The proposed method does not need extensive traffic data of speeds, headways, flow rates, and so forth, and is applicable on aerial photographs obtained from other sources, such as satellites.Funding
The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This research was supported with funding from Exascale Open Data Analytics Lab, National Center for Big Data and Cloud Computing (NCBC) and the Higher Education Commission of Pakistan.
Acknowledgments
The authors are thankful to research students Syed Hassan Ali, Haseeb Ahmed, Zohaib Ahmed, Aqib Abbasi, Asad Rehan, Mirza Ali Haider, Syed Abbas Hasan Zaidi, and Omema for their help in this research
English Loanwords Adaptation and Substitution Process in Lasi
No full textEnglish Loanwords Adaptation and Substitution Process in Lasi
Asad Ullah Aliani 1
Zahid Ali2
Sami Ullah Khan3
1MS scholar, Faculty of Languages and Literature, Lasbela University of Agriculture, Water and Marine Sciences, Uthal, Balochistan
2Associate Professor, Faculty of Languages and Literature, Lasbela University of Agriculture, Water and Marine Sciences, Uthal, Balochistan
3Assistant Professor, Faculty of Languages and Literature, Lasbela University of Agriculture, Water and Marine Sciences, Uthal, Balochistan
Abstract
Loanwords often go under the adaptation process with native words. In the loanwords adaptation phonology has a vital role. The loanword phonology highlights more features in a particular language. The phonological pattern of loanword phonology is novel. It is the reflection of native phonology. The English loanwords are adapted in the Lasi. This paper addresses the questions: Which sounds are substituted in Lasi? and How substitutions with English loanwords occur in Lasi? The data are collected through observation and interviews. Optimality Theory is used for data analysis and presentation. It is the most used framework in current era. Optimality Theory is used by Ito and Mester (1995, 1999), Davidson and Noyer (1996) Broselow (2004) and other constraint-based approaches by Paradis and LaCharité (1997), LaCharité and Paradis (2005) as well as Crawford (2007). Towards the end, it has been seen that an English loanword and its Lasi counterpart have different structure, they are adopted and used by Lasi speakers in different ways, in their own style. Lasi natives prefer one feature changing rule for the ease of pronunciation. In English, loanwords adaptation terminal devoicing, continuant feature, retroflexion and palatalization are common. Lasi natives prefer unmarked constraints in adaptation. These words are pronounced according to Lasi phonological pattern. It can be claimed on the base of the inputs and outputs that Lasi adapts English loanwords according to it is own pattern. The substitution processes take place while changing one feature. Substitutions have been occurred from marked to unmarked. The preference of distinct feature is given to the unmarked features. So, the process of lenition occurs in Lasi English loanwords. It is common that languages always prefer unmarked as compared to markedness. So, the same rule has been followed by Lasi
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