IoT and Neural Network-Based Water Pumping Control System For Smart Irrigation

This article aims at saving the wasted water in the process of irrigation using the Internet of Things (IoT) based on a set of sensors and Multi-Layer Perceptron (MLP) neural network. The developed system handles the sensor data using the Arduino board to control the water pump automatically. The sensors measure the environmental factors; namely temperature, humidity, and soil moisture to estimate the required time for the operation of water irrigation. The water pump control system consists of software and hardware tools such as Arduino Remote XY interface and electronic sensors in the framework of IoT technology. The machine learning algorithm such as the MLP neural network plays an important role to support the decision of automatic control of IoT-based irrigation system, managing the water consumption effectively.Comment: 6 pages, 5 figures, 1 tabl

Exposure to NO2 in occupational built environments in urban centre in Lahore

Increased economic growth, urbanisation and substantial rise in automobile vehicles has contributed towards the elevated levels of air pollution in major cities in Pakistan. Aone week study was conducted by using passive samplers to assess NO2 concentration in occupational built environments at two most congested and populated sites of Lahore. Both sites were locatedon the busy roads of Lahore. At Site-I the highest concentration was in outdoors followed by corridor and indoor. While at Site II all the sampling location wereindoors and level were comparable to that of outdoor levelsat Site I. The results suggest the likely contribution of ambient sources in exposure to indoor NO2 in educational and other occupational built environments in urban centres

Minimax Estimation of the Scale Parameter of Laplace Distribution under Squared-Log Error Loss Function

In this paper, we obtained Minimax estimator of the scale parameter  for the Laplace distribution under the Squared log error loss function by applying the theorem of Lehmann [1950], and compared it with Minimax estimator under Quadratic loss function in addition of Maximum Likelihood Estimator according to Monte-Carlo simulation study. The performance of these estimators is compared depending on the mean squared errors (MSE’s). Keywords: Minimax estimator, Laplace distribution, Bayes estimator, Squared-log error loss function, Jeffery prior, Mean squared error

The vulnerability of World Heritage seagrass habitats to climate change

Seagrass is an important natural attribute of 28 World Heritage (WH) properties. These WH seagrass habitats provide a wide range of services to adjacent ecosystems and human communities, and are one of the largest natural carbon sinks on the planet. Climate change is considered the greatest and fastest-growing threat to natural WH properties and evidence of climate-related impacts on seagrass habitats has been growing. The main objective of this study was to assess the vulnerability of WH seagrass habitats to location-specific key climate stressors. Quantitative surveys of seagrass experts and site managers were used to assess exposure, sensitivity and adaptive capacity of WH seagrass habitats to climate stressors, following the Climate Vulnerability Index approach. Over half of WH seagrass habitats have high vulnerability to climate change, mainly from the long-term increase in sea-surface temperature and short-term marine heatwaves. Potential impacts from climate change and certainty scores associated with them were higher than reported by a similar survey-based study from 10 years prior, indicating a shift in stakeholder perspectives during the past decade. Additionally, seagrass experts' opinions on the cumulative impacts of climate and direct-anthropogenic stressors revealed that high temperature in combination with high suspended sediments, eutrophication and hypoxia is likely to provoke a synergistic cumulative (negative) impact (p < .05). A key component contributing to the high vulnerability assessments was the low adaptive capacity; however, discrepancies between adaptive capacity scores and qualitative responses suggest that managers of WH seagrass habitats might not be adequately equipped to respond to climate change impacts. This thematic assessment provides valuable information to help prioritize conservation actions, monitoring activities and research in WH seagrass habitats. It also demonstrates the utility of a systematic framework to evaluate the vulnerability of thematic groups of protected areas that share a specific attribute

A protocol for primary isolation and culture of adipose-derived stem cells and their phenotypic profile

Background: Adipose tissue (AT) is a rich source of mesenchymal stem cells (MSCs), however, there is no standardized protocol for stem cell isolation and culture. This leads to inconsistency of the results and limits the comparison of the data from different laboratories. Our aim was to provide an applied protocol for ASCS isolation and expansion, study the cell behavior and define their cellular surface markers. ASCs were cultured from both resected adipose tissue (RAT) obtained following abdominoplasty or breast reduction and lipoaspirates (LPA) following laser-free liposuction. Method: the protocol entailed coculturing of stromal vascular fraction (SVF) with RAT as raw pieces using DMEM medium with varying glucose concentration. The coculture protocol aimed to mimic the normal physiological conditions required for cell growth. ASCs were immunophenotyped to define their MSCs surface markers by flowcytometry. Results: ASCs were isolated from coculturing RAT with SVF with fibroblast-like adherent cells morphology. The ASCs yield isolated from LPA was significantly greater than from RAT on day 14 and 28 (p = 0.002, &lt;0.001, respectively). Significant increase in ASCs proliferation rate was detected when ASCs were cultured under high glucose (4.5 g/L) compared to low glucose (1 g/ L) condition on day 7 and 14 (p = 0.04, 0.015, respectively). ASCs isolated from both protocols were positive for CD34, CD49d, CD73, CD90 and CD105 and negative for CD3, CD14, CD19, CD45 and HLA-DR. Conclusion: We concluded that the cells harvested by our protocol were ASCs. Hence, our method can be an efficient isolation tool to obtain primary ASCs under culture conditions mimicking normal physiological status. This will help in providing ASCs which can be similar to cells in human tissue for further study

Effective action for the field equations of charged black holes

In this article, we consistently reduce the equations of motion for the bosonic N = 2 supergravity action, using a multi-centered black hole ansatz for the metric. This reduction is done in a general, non-supersymmetric setup, in which we extend concepts of BPS black hole technology. First of all we obtain a more general form of the black hole potential, as part of an effective action for both the scalars and the vectors in the supergravity theory. Furthermore, we show that there are extra constraints specifying the solution, which we calculate explicitly. In the literature, these constraints have already been studied in the one-center case. We also show that the effective action we obtain for non-static metrics, can be linked to the "entropy function" for the spherically symmetric case, as defined by Sen and Cardoso et al.Comment: 18 pages, (v2: small corrections, version to be published in CQG

Comparative Analysis of Zeolite Y From Nigerian Clay and Standard Grade

Zeolite Y catalyst with silica/alumina mola•· ntio of 4.70 was synthesized from Elefun (Nigel"ia) clay unde•· hydwthe•·mal tJ·eatment of calcined kaolin with aqueous NaOH at atmosphel"ic p•·essm·e. This pape•· descl"ibed the p•·epantion of zeolite Y catalyst fmm metakaolin of quality Elefun kaolin by ageing at 34oC fo•· 7days, and then n·ystallized at lOOoC fm· 24 hom·s. The synthesized zeolite NaY was modified by exchanging with NH4Cl to obtain its hydwgen fo•·m with silica/alumina ntio of 3.18. Both developed and standa1·d zeolite Y catalyst we1·e then chanctel"ized by a val"iety of physicochemical methods, including XRD, XRF spectwscope. The mm·phologies we1·e examined using SEM. Similar results we1·e obtained, thus confi•·ming the synthesis of zeolite Y

Deconstructing Local Adaptation Plans for Action (LAPAs) - Analysis of Nepal and Pakistan LAPA initiatives

This paper analyses the organizational and implementation design strategies of two ongoing Local Adaptation Plan for Action (LAPA) initiatives in Nepal and Pakistan. LAPA is considered an answer for institutionalized local-level adaptation planning that aims to capture local needs and direct resources to where, when and by whom these are most needed. While both Nepal and Pakistan LAPAs have similar objectives of bottom-up planning, the operational and structural designs of the two LAPAs are very distinct, leading to different outcomes. Different internal and external factors such as age and size of LAPA, technology, local institutional arrangements, core process and environment also exert significant structural tensions on the planned organizational design of LAPAs that may inhibit delivery of their objectives

A review of the role of Neurotensin and its receptors in colorectal cancer

Neurotensin (NTS) is a physiologically occurring hormone which affects the function of the gastrointestinal (GI) tract. In recent years, NTS, acting through its cellular receptors (NTSR), has been implicated in the carcinogenesis of several cancers. In colorectal cancer (CRC), a significant body of evidence, from in vitro and in vivo studies, is available which elucidates the molecular biology of NTS/NTSR signalling and the resultant growth of CRC cells. There is growing clinical data from human studies which corroborate the role NTS/NTSR plays in the development of human CRC. Furthermore, blockade and modulation of the NTS/NTSR signalling pathways appears to reduce CRC growth in cell cultures and animal studies. Lastly, NTS/NTSR also shows potential of being utilized as a diagnostic biomarker for cancers as well as targets for functional imaging. We summarize the existing evidence and understanding of the role of NTS and its receptors in CRC

Ethylene signaling under stressful environments: analyzing collaborative knowledge

Ethylene is a gaseous plant growth hormone that regulates various plant developmental processes, ranging from seed germination to senescence. The mechanisms underlying ethylene biosynthesis and signaling involve multistep mechanisms representing different control levels to regulate its production and response. Ethylene is an established phytohormone that displays various signaling processes under environmental stress in plants. Such environmental stresses trigger ethylene biosynthesis/action, which influences the growth and development of plants and opens new windows for future crop improvement. This review summarizes the current understanding of how environmental stress influences plants’ ethylene biosynthesis, signaling, and response. The review focuses on (a) ethylene biosynthesis and signaling in plants, (b) the influence of environmental stress on ethylene biosynthesis, (c) regulation of ethylene signaling for stress acclimation, (d) potential mechanisms underlying the ethylene-mediated stress tolerance in plants, and (e) summarizing ethylene formation under stress and its mechanism of action