Miracle-dz/UniFAR-FTUs huggingface dataset:
Investigation of Fast, Secure and Reliable Network Restoration after Blackouts

Integrating distributed generation into power grids creates various technical challenges for network operation. Volatility of renewable energy resources may increase the probability of blackouts. In order to restore networks fast, securely and reliably after blackouts, within the research project RestoreGrid4RES’s network restoration strategies, the related issues caused by distributed generation are investigated and novel methods to face those challenges are developed. This paper focuses on (i) algorithms to identify possible restoration paths, (ii) key performance indicators for the assessment of grid restoration options and (iii) an evaluation of the results for network restoration strategies.
Impacts of Celiac Disease on quality of life: Integrative Literature Review

— Objective: to understand the repercussions that Celiac Disease has on quality of life, through an integrative review. Method: integrative literature review, with searches in the LILACS, SciELO and Web Of Sciece databases, with a selection of articles published between 2014 and 2019. The articles were selected by searching with the following Health Sciences Descriptors: Celiac Disease, Glutens, Adult, Quality of Life, Patient Care Team and Gluten Free Diet, using the Boolean operators AND and OR as a tool for crossing them, enabling the location of 111 articles. Results: Six articles were analyzed in full from the application of the inclusion and exclusion criteria, with the production of data guided by the content analysis steps proposed by Bardin, enabling the construction of two empirical categories, namely: dietary practices and Quality of life of the person with Celiac Disease and importance of the multidisciplinary team in the diagnosis and monitoring of the person with Celiac Disease. Conclusion: it is essential to continue in the search for knowledge in the perspective that science finds other means of treatment, in addition to the restrictive diet, and the industry adapts itself to the needs of individuals, through the offer of quality and low cost products, for inclusive access, reducing the suffering and impacts generated by the disease on the quality of life of people with Celiac Disease.
Automatic Identification of Referral-Warranted Diabetic Retinopathy Using Deep Learning on Mobile Phone Images

Purpose To evaluate the performance of a deep learning algorithm in the detection of referral-warranted diabetic retinopathy (RDR) on low-resolution fundus images acquired with a smartphone and indirect ophthalmoscope lens adapter. Methods An automated deep learning algorithm trained on 92,364 traditional fundus camera images was tested on a dataset of smartphone fundus images from 103 eyes acquired from two previously published studies. Images were extracted from live video screenshots from fundus examinations using a commercially available lens adapter and exported as a screenshot from live video clips filmed at 1080p resolution. Each image was graded twice by a board-certified ophthalmologist and compared to the output of the algorithm, which classified each image as having RDR (moderate nonproliferative DR or worse) or no RDR. Results In spite of the presence of multiple artifacts (lens glare, lens particulates/smudging, user hands over the objective lens) and low-resolution images achieved by users of various levels of medical training, the algorithm achieved a 0.89 (95% confidence interval [CI] 0.83–0.95) area under the curve with an 89% sensitivity (95% CI 81%–100%) and 83% specificity (95% CI 77%–89%) for detecting RDR on mobile phone acquired fundus photos. Conclusions The fully data-driven artificial intelligence-based grading algorithm herein can be used to screen fundus photos taken from mobile devices and identify with high reliability which cases should be referred to an ophthalmologist for further evaluation and treatment. Translational Relevance The implementation of this algorithm on a global basis could drastically reduce the rate of vision loss attributed to DR.
Principles, Utility and Limitations of Pulse Oximetry in Management of COVID-19

Pulse oximetry is an essential component of the standard care of COVID-19 patients. In the context of the spreading COVID-19 pandemic for which no targeted therapy or vaccines are yet available, early identification of the severe cases or cases with high risk of severe disease and appropriate supportive treatment are of paramount importance to save lives. Pulse oximetry is a cheap, fast, easy to use, noninvasive, painless and accurate tool that allows real-time monitoring of hypoxemia. As the primary target of the disease is the respiratory system pulse oximetry provides an unparalleled way to assess the severity of the disease, guide supportive therapies and monitor the clinical status and response to treatment with greater benefits in the low-resource settings. All settings from the quarantine facilities at the ground level to the ICUs in the highest level hospitals can utilize it to achieve their goals. To get the best of this tool, it needs to be used properly and the findings interpreted carefully. Role of basic understanding of the physiological principles and technology behind its use and awareness of its limitations cannot be overemphasized. The pulse oximetry readings are interpreted in the context of blood hemoglobin concentration, tissue perfusion, arterial blood carbon dioxide concentration and oxygen supplementation status.
ECAL trigger performance in Run 2 and improvements for Run 3

The CMS electromagnetic Calorimeter (ECAL) is a high resolution crystal calorimeter operating at the CERN LHC. It is responsible for the identification and precise reconstruction of electrons and photons in CMS, which were crucial in the discovery and subsequent characterization of the Higgs boson. It also contributes to the reconstruction of tau leptons, jets, and calorimeter energy sums, which are vital components of many CMS physics analyses. The ECAL trigger system employs fast digital signal processing algorithms to precisely measure the energy and timing information of ECAL energy deposits recorded during LHC collisions. These trigger primitives are transmitted to the Level-1 trigger system at the LHC collision rate of 40 MHz. These energy deposits are then combined with information from other CMS sub-detectors to determine whether the event should trigger the readout of the data from CMS to be transmitted to the High-Level Trigger and eventually to permanent storage. This note will summarize the ECAL trigger performance achieved during LHC Run 2 (2015–2018). It will describe the methods that are used to provide frequent calibrations of the ECAL trigger primitives during LHC operation. These are needed to account for radiation-induced changes in crystal and photodetector response and to maintain stable trigger rates and efficiencies up to 0|η|=3. They also minimize the spurious triggering on direct signals in the photodetectors used in the barrel region (|η|<1.48). Both of these effects have increased relative to LHC Run 1 (2009–2012), due to the higher luminosities experienced in Run 2. Further improvements in the energy and time reconstruction of the CMS ECAL trigger primitives are being explored for LHC Run 3 (2021–2023), using additional features implemented in the on-detector readout. These are particularly focused on improving the performance at the highest instantaneous luminosities (which will reach or exceed 2⋅ 1034 cm−2 s−1 in Run 3) and in the most forward regions of the calorimeter (|η|>2.5), where the effects of detector aging will be the greatest. The main features of these improved algorithms will be described and preliminary estimates of the expected performance gains will be presented.
Transition from content expert to interdisciplinary educator: narrative accounts from health and law

ABSTRACT Interdisciplinary education is gaining prominence in higher education, but little is known about the experiences and professional development needs of interdisciplinary educators. Through the lenses of self-reflection, peer review, and the educational literature, this paper uses a narrative enquiry approach to explore the lived experiences of two academics as they transition from a focus on their disciplines into roles as interdisciplinary educators. By exploring sequential events, we identify five key phases: making the move, starting out, the teaching experience, learning more, and looking forward. We faced many challenges, including working with an interdisciplinary teaching team, feeling ‘undisciplined’, and the need for an adaptive curriculum. Based on our experiences, there is a real opportunity for academic developers to design and implement initiatives to support academics embarking on interdisciplinary teaching. Video Abstract Read the transcript Watch the video on Vimeo © 2021 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group
Approximation Computing Techniques to Accelerate CNN Based Image Processing Applications – A Survey in Hardware/Software Perspective

In today's technology era, Convolutional Neural Networks (CNNs) are the limelight for various cognitive tasks because of their high accuracy. With the increasing complexity in the applications, CNNs present high computation and storage demands which call for customized hardware support to boost their performance. The streaming nature of CNN's workloads makes them suitable for hardware implementations like FPGAs and ASICs. Providing sufficient resources alone cannot solve this difficulty, which makes Approximate Computing a solution. This article gives an insight into various approximate computing techniques used to accelerate the CNNs at multiple levels for the hardware implementations. The survey has been conducted by considering different metrics: approximation technique used, datasets used for evaluation, network structure (AlexNet, LeNet, Visual Geometry Group (VGG) ), hardware platform for implementation (Application Specific Integrated Circuit (ASIC) or Field Programmable Gate Array (FPGA)), training or testing phase and results (in terms of accuracy, area, power, throughput, resource utilization). The approximate computation techniques applied at the various levels of the network and layers are discussed. Necessary comparisons have also been made to know the utility of these techniques for yielding more significant performance gains with minimal losses in the accuracy. Methods are presented with recent contributions in the state-of-the-art image processing applications along with the various future outlooks based on the studies made.
Mushroom Characterization: Part I – Illustrated Morphological Characteristics

Conventional taxonomy of mushrooms is often not very easy for amateur taxonomists and research scholars to initiate the research on taxonomy and diversity of mushrooms due to the complex morphological characteristics that is often very difficult to comprehend. We illustrate the external morphological characteristics of mushrooms through colorful photographs to facilitate the taxonomic characterization of mushrooms and to promote the research on mushrooms. In addition, a data sheet for morphological characteristics of agaric mushrooms is provided.
Temperature accounts for the biodiversity of a hyperdiverse group of insects in urban Los Angeles

The urban heat island effect is a worldwide phenomenon that has been linked to species’ distributions and abundances in cities. However, effects of urban heat on biotic communities are nearly impossible to disentangle from effects of land cover in most cases because hotter urban sites also have less vegetation and more impervious surfaces than cooler sites within cities. We sampled phorid flies, one of the largest, most biologically diverse families of true flies (Insecta: Diptera: Phoridae), at 30 sites distributed within the central Los Angeles Basin, where we found that temperature and the density of urban land cover are decoupled. Abundance, richness, and community composition of phorids inside urban Los Angeles were most parsimoniously accounted for by mean air temperature in the week preceding sampling. Sites with intermediate mean temperatures had more phorid fly individuals and higher richness. Communities were more even at urban sites with lower minimum temperatures and sites located further away from natural areas, suggesting that communities separated from natural source populations may be more homogenized. Species composition was best explained by minimum temperature. Inasmuch as warmer areas within cities can predict future effects of climate change, phorid fly communities are likely to shift non-linearly under future climates in more natural areas. Exhaustive surveys of biotic communities within cities, such as the one we describe here, can provide baselines for determining the effects of urban and global climate warming as they intensify.
The influence of particle size to diffusivity of nanogold particles based on Brownian motion

Diffusivity calculation has been conducted by many researchers in various methods. One ingenious and sample-efficient way to determine the diffusivity is the examination under the microscope by using microbead random movements, called Brownian motion, through the footage of its movements. This study was conducted to observe the diffusivity of nanogold particles towards the use of various microbead sizes. The one-micron-sized microbead was mixed into nanogold particles solution and prepared onto slide glass, so was the three micron-sized and five-micron-sized microbead. The footage of microbead movements for each size is then tracked and processed using MATLAB image processing to obtain the mean square displacement (MSD) of the microbead and then fitting it to time to find the sample diffusivity. As a result, the nanogold diffusivity observed using one-micron, three-micron, and five-micron-sized microbead is respectively around 5.66 x 10−17 cm2s−1 , 3.45 x 10−17 cm2s−1 , and 1.71 x 10−17 cm2s−1 . Thus, the nanogold diffusivity observed using one-micron-sized microbead is greater than three-micron and five-micron-sized microbead, which can be concluded that the bigger of microbead size used, the smaller diffusivity obtained.
Soil and Water Conservation Measures for Agricultural Sustainability

Limited natural resources are available on the planet under immense pressure due to the ever-increasing population and changing climate. Soil and water are fundamental natural resources for the agricultural production system. Anthropogenic and adverse natural activities are the major factors for the deterioration of natural resources. Among the various degradation processes, soil erosion is one of the serious threats for the deterioration of soil and water resources. In India, about 68.4% of the total land area has been degraded by the water erosion process. Intensive agricultural practices accelerate the soil erosion process. Similarly, increased exploitation of groundwater resulted in depletion of groundwater level. Hence, the holistic management of soil and water resources is indispensable for agricultural sustainability as well as for the protection of the natural ecosystem. Development and adoption of improved technologies, judicious use of natural resources, and effective management practices are the need of the hour for protection of soil and water from degradation. This chapter highlights the status of natural resource degradation, erosion processes and, soil and water conservation strategies for agricultural sustainability and soil health in the long run.
LRRC33 is a novel binding and regulating protein of TGF-β1 function in human acute myeloid leukemia cells

Transforming growth factor – β1 (TGF-β1) is a versatile cytokine. It has context-dependent pro- and anti-cell proliferation functions. Activation of latent TGF-β1 requires release of the growth factor from pro-complexes and is regulated through TGF-β binding proteins. Two types of TGF-β binding partners, latent TGF-β-binding proteins (LTBPs) and leucine-rich-repeat-containing protein 32 (LRRC32), have been identified and their expression are cell specific. TGF-β1 also plays important roles in acute myeloid leukemia (AML) cells. However, the expression of LTBPs and LRRC32 are lacking in myeloid lineage cells and the binding protein of TGF-β1 in these cells are unknown. Here we show that a novel leucine-rich-repeat-containing protein family member, LRRC33, with high mRNA level in AML cells, to be the binding and regulating protein of TGF-β1 in AML cells. Using two representative cell lines MV4-11 and AML193, we demonstrate that the protein expression of LRRC33 and TGF-β1 are correlated. LRRC33 co-localizes and forms complex with latent TGF-β1 protein on the cell surface and intracellularly in these cells. Similar as in other cell types, the activation of TGF-β1 in MV4-11 and AML193 cells are also integrin dependent. We anticipate our study to be a starting point of more comprehensive research on LRRC33 as novel TGF-β regulating protein and potential non-genomic based drug target for AML and other myeloid malignancy.
Transcriptional activation of DBP by hnRNP K facilitates circadian rhythm

D-site albumin promoter binding protein (DBP) supports the rhythmic transcription of downstream genes, in part by displaying high-amplitude cycling of its own transcripts compared to other circadian clock genes. However, the underlying mechanism remains elusive. Here, we demonstrated that poly(C) motif within DBP proximal promoters, in addition to an E-box element, provoked the transcriptional activation through increased RNA polymerase 2 (Pol2) recruitment by inducing higher chromatin accessibility. We also clarified that heterogeneous nuclear ribonucleoprotein K (hnRNP K) is a key regulator that binds to the poly(C) motif on single-stranded DNAs in vitro. Chromatin immunoprecipitation further confirmed the expression-dependent and rhythmic binding of hnRNP K which was inhibited through its cytosolic localization mediated by time-dependent ERK activation. Knockdown of hnRNP K triggered low-amplitude mRNA rhythms in DBP and other core clock genes through transcriptional or post-transcriptional regulation. Finally, transgenic depletion of a Drosophila homolog of hnRNP K in circadian pacemaker neurons lengthened 24-hour periodicity in free-running locomotor behaviors. Taken together, our results provide new insights into the function of hnRNP K as a transcriptional amplifier of DBP, which acts rhythmically through its intracellular localization by the ERK phosphorylation and as an mRNA stabilizer along with its physiological significance in circadian rhythms of Drosophila. Significance Statement In the case of mood disorders and the aging process, the mRNA expression and amplitude level of clock genes, including DBP, were reported to be diminished. However, the reason behind this decrease of clock gene amplitude and expression level remained unclear. Through this study, we revealed the regulatory mechanism behind the expression of clock genes, especially of DBP mRNA expression. In addition, we discovered that hnRNP K regulates more core clock genes than what we have previously known, such as Clock and Periods. Finally, we demonstrated the physiological significance of hnRNP K in Drosophila through its RNAi line model. Hence, our findings show the regulatory mechanism of circadian rhythm that may provide insight on mood disorder and aging process.
Feasibility study on on the viability of SORC for power generation in Thailand’s six main regions

Solar energy is one of the renewable energy resources that proved to be a useful to solve the present energy crisis and achieve sustainable development. In Thailand, Concentrating Solar Power (CSP) technologies are in-appropriate because the annual direct normal solar radiation is much low. In this study, the concept of a small-scale solar Organic Rankine Cycle (SORC) system for power generation with temperature below 100 °C was investigated. The SORC system was analyzed by using 2-capacity ORC units with four system configurations in combination with solar water heating system (SWHS). Flat-plate (FP), Evacuated-tube (ET), and Compound Parabolic Concentrator (CPC) solar collectors were used to generate heat. These four system configurations were mathematically modelled and simulated to evaluate maximum power output, CO2 emission, and levelized cost of electricity (LCOE). For data simulations, six areas; Chiang Mai, Bangkok, Ratchaburi, Songkhla, Nakhon Ratchasima, and Chon Buri, were selected to represent the main regions of Thailand (i.e.; the northern, central, western, southern, north-eastern and eastern part, respectively). The results showed that a small-scale SORC power plant is appropriate for a heat source producing temperatures below 100 °C and that the ORC system is a good solution for power generation using low-temperature heat. At the simulated highest power outputs, of between 154.19 and 182.89 MWh/Year the reduction of CO2 emissions from the systems were 71.24 and 84.5 Ton CO2 eq./Year, respectively. The appropriated number of collectors were between 1710 and 2000 units. Further, LCOE of between 0.931 and 1.110 USD/kWh were achieved. CSP technologies have an LCOE between 0.200 and 0.300 USD/kWh, while solar photovoltaic systems have LCOE between 0.140 and 0.470 USD/kWh. Therefore, without government support or subsidizes for the initial investment cost of the solar collectors and the ORC power generation, the small-scale SORC power plant will not be economically attractive due to higher value of LCOE compared to the other two types of solar energy technologies.
Synthesis and structural characterization of novel O-substituted phenolic and chalcone derivatives with antioxidant activity

A series of novel 4-O-alkyltriazolylphenolic derivatives is first synthesized with good to excellent yields via the click reaction of 3-methoxy-4-O-propargylbenzaldehyde or 3-allyl-4-O-propargylacetophenone and aromatic azide derivatives. Next, the chalcones are prepared via the Claisen-Schmidt method from 4-O-alkylphenylketone derivatives in the presence of the corresponding (hetero)aromatic aldehydes as electrophiles. The structures of the newly synthesized compounds are confirmed from their infrared, nuclear magnetic resonance spectral data, and by elemental analysis. The main advantages of this procedure are the simplicity of the reaction conditions, easily available starting materials, and simple work-up. The antioxidant activity of several of the products is determined using the DPPH (2,2-diphenyl-1-picryl-hydrazyl-hydrate) radical scavenging assay. 4-O-propargylvanillin (IC50 = 14.54 µg/mL) had moderate antioxidant activity.