E-Jurnal Universitas Tunas Husada Tasikmalaya
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Kajian Etnobotani Tumbuhan Obat Masyarakat Desa Mekarmulya Kecamatan Pamarican Kabupaten Ciamis
No full textyang memiliki khasiat dapat menjadi pertimbangan dalam memecahkan krisis global yang dihadapi penduduk di masa depan. Mengetahui tumbuhan apa saja yang digunakan sebagai bahan pengobatan oleh masyarakat desa Mekarmulya, mengetahui cara pengolahan tumbuhan obat pada masyarakat desa mekarmulya, mengetahui jenis penyakit apa saja yang dapat diobati menggunakan tumbuhan obat oleh masayarakat desa Mekarmulya. Penelitian ini bersifat deskriptif dengan metode kualitatif. Teknik pengumpulan datanya dengan observasi, wawancara, kuisioner, dan dokumentasi tumbuhan. Berdasarkan hasil wawancara didapat 75 jenis tumbuhan dari 38 familia dengan penggunaan terbanyak familia Zingiberaceae (5,78%). Bagian tumbuhan yang paling banyak digunakan adalah daun (49,13%), dengan cara pengolahan direbus (61,85%), dan cara penggunaannya diminum (82,23%), serta sumber tanaman obat berasal dari pekarangan rumah (79,16%). Penyakit yang sering diobati menurut analisis fidelity level yakni panas dalam menggunakan daun hantap (61%), serta menurut analisis RKI yaitu tumor menggunakan rimpang temulawak. Didapatkan 75 jenis tumbuhan dengan persentase tertinggi jahe (39,03%), cara pengolahannya dengan cara direbus (61,85%), dan penyakit yang dapat diobati dengan persentase tertinggi yaitu tumor menggunakan Temulawak (1) dan panas dalam menggunakan Hantap (61%)
Design and Construction of a Solar Pond and Desalination System for Coupling with Irrigation
No full textMost of countries in the world, especially those near the tropics of Capricorn and Cancer, are struggling to address water and food security. The increase in population and consequent demand for food and water resources combined with ever-diminishing natural resources are driving these countries to find sustainable and long-lasting technologies to address these problems and provide for the survival of their peoples. Fresh-water access and consequently water desalination in many cases will be a key element for their future development, independence and stability, especially if derived from sustainable resources.Desalination technologies available today are mostly designed and engineered for large-scale applications associated with cities and industry. The use of these technologies for small-scale distributed fresh-water production especially linked to irrigation of crops is most of the time economically and technically unfeasible. Thus small-scale desalination technology is needed in very poor countries, arid regions and remote locations where access to energy and technology is limited and consequently it is very important to develop technologies or even better techniques that can be easily arranged with simple local products (possibly already used for the daily life needs of the population) managed by unskilled people and requiring a low amount of energy that should preferably be obtained from Renewable Energy Sources (RES).To improve agricultural production in arid regions and remote locations, it is not only important to choose an efficient and reliable desalination technology but also to combine it with the right crop cultivation technique, choosing the best soil mixture and the suitable crops/plants that can grow within these limitations. Thanks to the support of the Ministry of Agriculture and Fisheries of Oman (MoAF) and the cooperation of a private company Aquama Ltd, the opportunity to build and test a suitable Solar Pond in Oman was offered together with novel irrigation and distillation techniques for crop and date palm growing. A direct seawater enhanced evaporation subsurface irrigation technique (SWI) and a direct seawater distillation technique (SWD) have been developed and some experimental work has been performed to validate the findings. The Solar Pond is demonstrated to have major limitations in its applications due to the extreme difficulties in its construction and maintenance in such an adverse climate. Thus, it is advisable to replace it with other simple, more reliable technologies such as flat solar panels or heat pipes. However, both SWI and SWD have shown potential for future applications in this context and the results obtained in terms of water production have been satisfactory.The SWI and SWD systems have been modelled and the good agreement with the experimental results offers another important tool to predict the systems’ behaviour at full scales and in differing local conditions and underpins the derivation of costs.The predicted low capital and operational expenditure, combined with the acceptable productivity of the systems, demonstrates their potential compared with other experimented solutions and highlights the promising conditions for continuing the experimental research
Edge Computing Based Layered Video Streaming Over Integrated Satellite and Terrestrial 5G Networks
No full textIn the coming era of telecommunication, the integration of satellite capabilities with emerging 5G technologies has been considered as a promising solution to achieve assured user experiences in bandwidth-hungry content applications. In this paper, we present our design for emerging Multi-access Edge Computing (MEC) based Video on Demand (VoD) services, which efficiently utilizes satellite and terrestrial integrated 5G network. Based on this framework, we propose and analyse the Video-segment Scheduling Network Function (VSNF), which is able to deliver enhanced quality of video consumption experiences to end-users. We specifically consider the layer video scenario, where it is possible to intelligently schedule layers of video segments via parallel satellite and terrestrial backhaul links in 5G. The key technical challenge is to optimally schedule the layered video segment over the two network link which are having distinct characteristics while attempting to enhance the Quality of Experience (QoE) for all the end-users in fair manner. We have conducted extensive set of experiments using real 5G testing framework in which gNB is integrated with core network using Geostationary Earth Orbit (GEO) satellite and terrestrial backhaul links. The results highlights the capability of our proposed content delivery framework for holistically delivering assured QoE, fairness among multiple video sessions, as well as optimised network resource efficiency. INDEX TERMS HTTP Adaptive Streaming, Satellite and Terrestrial network integration, 5G networks, Quality of Experience
Parameterising Translational Feedback Models of Autoregulatory RNA-Binding Proteins in Saccharomyces cerevisiae
No full textPost-transcriptional gene regulation is driven by RNA-binding proteins (RBPs). Recent global approaches suggest widespread autoregulation of RBPs through binding to their own mRNA; however, little is known about the regulatory impact and quantitative models remain elusive. By integration of several independent kinetic parameters and abundance data, we modelled autoregulatory feedback loops for six canonical and non-canonical RBPs from the yeast Saccharomyces cerevisiae, namely Hrb1p, Hek2/Khd1p, Ski2p, Npl3p, Pfk2p, and Map1p. By numerically solving ordinary differential equations, we compared non-feedback models with models that considered the RPBs as post-transcriptional activators/repressors of their own expression. While our results highlight a substantial gap between predicted protein output and experimentally determined protein abundances applying a no-feedback model, addition of positive feedback loops are surprisingly versatile and can improve predictions towards experimentally determined protein levels, whereas negative feedbacks are particularly sensitive to cooperativity. Our data suggests that introduction of feedback loops supported by real data can improve models of post-transcriptional gene expression
Modelling the filltration efficiency of a woven fabric: The role of multiple lengthscales
No full textDuring the COVID-19 pandemic, many millions have worn masks made of woven fabric, to reduce the risk of transmission of COVID-19. Masks are essentially air filters worn on the face, that should filter out as many of the dangerous particles as possible. Here the dangerous particles are the droplets containing virus that are exhaled by an infected person. Woven fabric is unlike the material used in standard air filters. Woven fabric consists of fibres twisted together into yarns that are then woven into fabric. There are therefore two lengthscales: the diameters of: (i) the fibre and (ii) the yarn. Standard air filters have only (i). To understand how woven fabrics filter, we have used confocal microscopy to take three dimensional images of woven fabric. We then used the image to perform Lattice Boltzmann simulations of the air flow through fabric. With this flow field we calculated the filtration efficiency for particles a micrometre and larger in diameter. In agreement with experimental measurements by others, we find that for particles in this size range, filtration efficiency is low. For particles with a diameter of 1.5 micrometres our estimated efficiency is in the range 2.5 to 10%. The low efficiency is due to most of the air flow being channelled through relatively large (tens of micrometres across) inter-yarn pores. So we conclude that fabric is expected to filter poorly due to the hierarchical structure of woven fabrics
Livelihood Diversification Through Tourism: Identity, Well-Being, and Potential in Rural Coastal Communities
No full textTraditional rural livelihoods are disappearing due to natural resource decline, climate pressure and, also modernization. This study explores livelihood diversification from primary economic activities into tourism employment in rural communities. We examine the developmental role of tourism in areas where traditional activities, in this case fishing, have declined and tourism is growing. This article presents the findings of two case studies: the coastal communities of Padstow (UK) and Paternoster (South Africa). The approach is qualitative and draws on sustainable livelihoods and social well-being notions to examine how affected people “cope with change” with respect to tourism diversification, and individual and community well-being. While the socioeconomic and sociopolitical contexts in the two research sites differ, the findings show that narratives about belonging and identity feature prominently with respect to fishing livelihoods in both cases. Small-scale fishing, perceived as a way of life for fishers, is under threat in both areas, yet there is limited evidence of concerted efforts to plan and manage the potential diversification processes into tourism. Nonetheless, we observe that tourism does provide some opportunities for fishing-dependent communities and outline some avenues for stronger collaboration, particularly by focusing on culinary tourism
Invited perspectives: Challenges and future directions in improving bridge flood resilience
No full textAnalysis of the adoption of emergent technologies for risk management in the era of digital manufacturing
No full textThe Industry 4.0 (I4.0) revolution has led to rapid digital transformation, automation of manufacturing processes and efficient decision-making in business operations. Despite the potential benefits of I4.0 technologies in operations management reported in the extant literature, there has been a paucity of empirical research examining the intention to adopt I4.0 technologies for managing risks. Risk management identifies, assesses, and introduces responses for risks to avert crises. This study combines institutional theory, the resource-based view and the technology acceptance model to develop a novel behavioural model examining the adoption of big data, artificial intelligence, cloud computing, and blockchain for risk management from the operations manager's perspective, which has never been examined in the literature. The model was tested for each I4.0 technology using data collected from 117 operations managers in the UK manufacturing industry which were analysed using structural equation modelling. We contribute to the theory on I4.0 in digital manufacturing by showing the impact of digital transformation maturity, market pressure, regulations, and resilience on the perceived usefulness and adoption of these technologies for managing risks in business operations. Based on the findings, we discuss implications for operations managers effectively and efficiently to adopt I4.0 technologies aiming to boost operational productivity
DEHM: An Improved Differential Evolution Algorithm using Hierarchical Multi-strategy in a Cybertwin 6G Network
No full textDifferential evolution (DE) algorithm can be used in edge/cloud cyberspace to find an optimal solution due to its effectiveness and robustness}. With the rapid increase of the mobile traffic data and resources in a cybertwin-driven 6G network, the DE algorithm faces some problems such as premature convergence and search stagnation. To deal with the problems mentioned above, an improved DE algorithm based on hierarchical multi-strategy in a cybertwin-driven 6G network (denoted by DEHM) is proposed. Based on the fitness value of the population, DEHM classifies the population into three sub-population. Regarding each sub-population, DEHM adopts different mutation strategies to achieve a tradeoff between convergence speed and population diversity. In addition, a new selection strategy is presented to ensure that the potential individual with good genes is not lost. Experimental results suggest that the DEHM algorithm surpasses other benchmark algorithms in the field of convergence speed and accuracy
