476 research outputs found
Fig. 6 in Sites of biosynthesis and storage of Taxol in Taxus media (Rehder) plants: Mechanism of accumulation
No full textFig. 6. In situ immuno-labelling of TS enzyme and Taxol in Taxus stem transverse sections. (A) Control stem section received no primary Abs compared to (B) a section that received anti-TS Ab and (C) a section that received anti-Taxol Ab.Published as part of Soliman, Sameh S.M. & Raizada, Manish N., 2020, Sites of biosynthesis and storage of Taxol in Taxus media (Rehder) plants: Mechanism of accumulation, pp. 1-10 in Phytochemistry (112369) 175 on page 6, DOI: 10.1016/j.phytochem.2020.112369, http://zenodo.org/record/829521
Fig. 2 in Sites of biosynthesis and storage of Taxol in Taxus media (Rehder) plants: Mechanism of accumulation
No full textFig. 2. Taxol localization and storage. (A) Transverse section of a Taxus plant stem showing the location of Taxol-containing HB (red-stained droplets) within the wood and phloem in comparison to (B) close up view in the vascular bundle (VB) of a root section and (C) close up view in the vascular bundle (VB) of a needle (Taxus leaf) section. (D) and (E) Close up views in the wood and phloem, respectively, to show the distribution of Taxol-containing HB within Taxus stem sections. (F) Pearson's correlation between Taxol content and the number of HB within different plant samples (Pearson's correlation, r2 = 0.77). (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)Published as part of Soliman, Sameh S.M. & Raizada, Manish N., 2020, Sites of biosynthesis and storage of Taxol in Taxus media (Rehder) plants: Mechanism of accumulation, pp. 1-10 in Phytochemistry (112369) 175 on page 2, DOI: 10.1016/j.phytochem.2020.112369, http://zenodo.org/record/829521
ワジ流域におけるフラッシュフラッドのリスク評価と被害軽減対策のための水文地形学的総合アプローチに関する研究
No full text京都大学0048新制・課程博士博士(工学)甲第20681号工博第4378号新制||工||1680(附属図書館)京都大学大学院工学研究科都市社会工学専攻(主査)教授 角 哲也, 准教授 竹門 康弘, 准教授 Sameh Kantoush学位規則第4条第1項該当Doctor of Philosophy (Engineering)Kyoto UniversityDFA
Correction to: Real-World Treatment Patterns in Patients with Vitiligo in the United States
No full textCorrection to: Dermatol Ther (Heidelb) (2023) 13:2079–2091 10.1007/s13555-023-00983-3
Authors would like to update the middle name of co-author as Ahmed M. Soliman.
The original article has been corrected
Apterogyna oshaibahi Soliman & Gadallah, sp. nov.
No full text<i>Apterogyna oshaibahi</i> Soliman & Gadallah, sp. nov. <p>(Figs 23−27)</p> <p> <b>Material examined.</b> Holotype ♀: Egypt, Wadi Digla, Cairo [29°57'30''N, 31°20'06''E], 20.xi.2014 (leg. Ahmed M. Soliman) [CUE]. Paratype 1 ♀: Egypt, Wadi Digla, Cairo [29°57'30''N, 31°20'06''E], 5.xi.2010 (leg. Ahmed M. Soliman) [CUE].</p> <p> <b>Description</b>. FEMALE (holotype). Body length 7 mm. <i>Colour</i>. Red, except flagellum of antenna light brown; coxae and T6 reddish brown, the latter with darker longitudinal ridges; prosternum, mesepisternum, T1 laterally, T2−T5 and metasomal sterna black; mid and hind tibial spurs waxy white; eye black. <i>Pubescence.</i> Face, vertex and scape of antenna clothed with recumbent white setae (Fig. 24); clypeus, occiput and basal third of mandible with erect white setae; mesosoma, legs and metasoma clothed with long erect and fine whitish setae, denser on metasomal terga than elsewhere. T1, T2 with moderately-developed tuft of white setae apicomesally (Fig. 26); metasomal segments 3−5 with apical fringe of such setae, well-developed on T3.</p> <p> <i>Head</i>. In dorsal view 1.2 × as broad as pronotum, abruptly convergent behind eyes; in frontal view distinctly transverse, its width 1.6 × head height; vertex flattened when seen from frontal view, impunctate, strongly sloping posteriorly; face superficially sparsely and finely punctate (nearly smooth and polished); eye small, subspherical, distinctly prominent, with middle-transversal axis located above midline between free margin of clypeus and vertex; malar space as long as LED; distance between antennal tubercles as long as tubercle length; clypeus gently convex; gena with weakly developed tubercle at the level of lower ocular margin; mandible slender, edentate (Fig. 24). Scape of antenna gently convex; F1 scarcely longer than F2; F2 as long as F3. Palpal segments slender.</p> <p> <i>Mesosoma</i>. Dorsally foveate-reticulate (foveae larger on dorsal face of propodeum than elsewhere) (Fig. 25); pronotum with anterior face gently declivous and posterior margin feebly concave, longitudinally ridged laterally; propodeal posterior face gently declivous, smooth and shiny. Mesopleuron smooth anteriorly and coarsely punctate posteriorly; metapleuron longitudinally coarsely ridged. Mesosternum polished and impunctate.</p> <p> <i>Metasoma</i>. T1 widened posteriorly (pear-shaped), slightly longer than its maximal width, superficially foveate, with apicomesal setal tuft 0.7 × as wide as that on T2 (Fig. 26); T2 bell-shaped, 0.7 × as long as broad, coarsely reticulate-foveate (Fig. 26); T3 with superficial sparse punctures progressively vanishing towards posterior margin; T4, T5 narrow and puncticulate; T6 subtriangular, with longitudinal interrupted ridges, bordered laterally with sharp evenly spaced teeth progressively reduced in size distally (Fig. 27). S1 smooth posteriorly, with superficial sparse punctures anteriorly; S2 and S3 sparsely punctate, punctures contiguous laterally; S4, S5 smooth; S1−S5 with a row of sparse punctures along their apical margin; S6 smooth except for few punctures apicolaterally.</p> <p>MALE unknown.</p> <p> <b>Distribution.</b> Egypt: Wadi Digla.</p> <p> <b>Remarks.</b> <i>Apterogyna oshaibahi</i> is nearest to <i>A. olivieri</i> except for the following: body with scattered setae (while dense in <i>A. olivieri</i> especially on head); mesosomal dorsum with scattered erect setae (with dense recumbent setae intermixed with erect ones in <i>A. olivieri</i>); setal tufts on T1 and T2 moderately-developed (well-developed in <i>A. olivieri</i>). A new species also resembles <i>A. mateui</i> but differ in the following: metasomal T2 coarsely reticulatefoveate, T3 with scattered superficial punctures (Fig. 26) (T2–T3 with oblong punctures and few ridges in between in <i>A. mateui</i>).</p> <p> <b>Etymology.</b> This species is named in honour of the late Prof. Alaa Din A. Oshaibah professor of the first author).</p>Published as part of <i>Soliman, Ahmed M., Gadallah, Neveen S., Al-Shahat, Ahmed M. & Pagliano, G., 2015, The genus Apterogyna Latreille, 1809 in Egypt, with three new species (Hymenoptera: Bradynobaenidae: Apterogyninae), pp. 209-220 in Zootaxa 3905 (2)</i> on pages 215-218, DOI: 10.11646/zootaxa.3905.2.3, <a href="http://zenodo.org/record/241302">http://zenodo.org/record/241302</a>
How intent to interact can affect action scaling of distance: reply to Wilson
No full textabstract: Soliman et al. (2013) set out to demonstrate how the bodily level of analysis can unify explanations in psychology. Our argument was that common sensorimotor mechanisms underlie many of the behavioral phenomena that are currently segregated as cognitive, social, or cultural. Toward that end, we re-characterized a cultural construct—self-construal along the dimension of independence and interdependence (Markus and Kitayama, 1991)—as reflecting degree of interaction with ethnically diverse others.View the article as published at http://journal.frontiersin.org/article/10.3389/fpsyg.2014.00513/ful
Enhancing Customer Loyalty Through UX-centric CRM Strategies
No full textThis research is a research-based bachelor thesis conducted by the author to explore how businesses can use user-centered design (UCD) principles to improve customer relationship management (CRM) systems and, in turn, boost customer loyalty and retention.
The research explores the practical implications of integrating UCD principles into CRM strategies. Drawing from the theoretical framework and real data and insights gathered from different sources in addition to qualitative structured interviews with industry experts, the research demonstrates that businesses implementing user experience (UX) principles, such as ensuring good usability, designing simple user interfaces (UI), facilitating easy feature usage, and gathering user feedback, can significantly improve customer experiences. These enhancements foster customer loyalty and retention, crucial factors in today's customer-centric business environment.
This research consists of an introductory chapter presenting the research background, objectives, research, methods, and key concepts. The second chapter discusses the literature review, covering key topics such as CRM, UX, and UCD and the connection between these areas. The third chapter presents the empirical part of this research, including the research implementation and structured interviews with industry experts highlighting the key findings. Lastly, the fourth chapter presents the research results and findings and closes with practical recommendations for businesses to effectively incorporate UCD principles in their CRM strategies.
In conclusion, this research addresses the importance of integrating UCD principles into CRM strategies. It provides practical insights for businesses seeking a deeper understanding of how UCD can improve CRM systems and foster customer loyalty. By understanding and addressing user needs through UCD principles, businesses can transform their CRM systems into powerful tools for building customer loyalty and achieving sustainable business growth.
The research contributes to the sustainable ongoing discourse on effective CRM strategies, empowering businesses with insights to optimise their CRM systems and cultivate enduring customer relationships. The research process enriched the author's understanding of CRM, UX, and UCD, fostering both personal and professional growth. Exploring these crucial business topics has fostered a greater understanding of customer relationships and the impact of design on business success. The research process further refined the author's critical thinking and analytical skills, equipping them for future business endeavours
The greek literature in the eastern provinces of Byzantium during the two first centuries of the arabic state (650 - 850 A.D.)
No full text
Reinforcement larning in gaming
No full textMestrado em IPB-ESTGA inteligência artificial em videojogos é uma área de investigação de longa data. É um conceito importante em muitos jogos e estuda como utilizar tecnologias de IA para alcançar o desempenho a nível humano durante o jogo. No entanto, quando se trata de IA e videojogos, a Reinforcement Learning tem de ser mencionada. RL define os agentes que enfrentam os problemas que aprendem a tomar boas decisões apenas através da acção e observação.
Este projecto centra-se na integração de um algoritmo de Machine Learning chamado Reinforcement Learning no desenvolvimento de um videojogo do género Tower Defense. O projeto foi desenvolvido pelo motor Unity3D que incorpora um agente que utiliza a técnica RL para simular o comportamento de um jogador humano e continuar a melhorá-lo, com base em experiências de jogo anteriores, até ser totalmente optimizado com uma pontuação imbatível pelo jogador médio. O agente irá imitar o comportamento de um humano, comprando, actualizando e colocando torres enquanto obtém a pontuação mais alta, utilizando o menor número de moedas. Além disso, o relatório irá também rever vários conceitos de Aprendizagem Automática, incluindo o Processo de Decisão de Markov e o Q-Learning.Artificial intelligence in video games is a longstanding research area. It is a major concept in a lot of games and it studies how to use AI technologies to achieve human-level performance when playing games. However, when it comes to AI and video games, Reinforcement Learning has to be mentioned. RL defines the problem-facing agents that learn to make good decisions through action and observation
alone.
This project focuses on integrating a Machine Learning algorithm called Reinforcement Learning in the development of a video game of the Tower Defense genre developed by the Unity3D engine that incorporates an agent that uses the RL technique to simulate the behavior of a human player and keep on improving it, based on previous game experiences, until it’s fully optimized with a score unbeatable by the average player.
The agent will imitate the behavior of a human, buying, upgrading, and placing towers while getting the highest score by using the lowest number of currencies. Moreover, the report will also review several Machine Learning concepts, including Markov-Decision Process and Q-Learning
- …
