Miracle-dz/UniFAR-FTUs huggingface dataset:
Improvement of Reliability Indices in a Micro-grid System involving Renewable Generation and Energy Storage

Integrating renewable energy sources is important to policy-makers worldwide, especially as the depletion of traditional energy sources and the declining health of the environment continue to be of critical concern. As the installation costs of renewable generation decrease, the incorporation of these sources into the grid is becoming more attractive and feasible. However, in order for renewable generation to be incorporated on a large scale, utilities must be able to guarantee that customers receive adequate and quality power, constituting a reliable system. Thus, ensuring the reliability of a grid system that includes sources of generation with low predictability and high variability, such as wind and solar, is investigated. Energy storage is shown to help eliminate or reduce the load demand that must be met by renewable generation and supply power when renewable generation is unavailable or insu cient, thereby increasing the reliability of the system. With increased research focusing on implementing a smart grid, this study implements a small-scale system called a micro-grid, which has the capability to disconnect from the main grid. This study focuses on a micro-grid in the islanding mode. A mixed integer optimization model of the problem is developed that maximizes the reliability of the micro-grid system by determining the number of critical and non-critical loads that can be satisfied at each time step. The maximization of the number of loads is constrained by the available renewable and stored generation in the system at each specific time step. The generation from iii wind and solar is estimated using a Weibull and Beta distribution respectively. The software Gurobi with CVX using MATLAB and the IEEE-9 bus system is used to solve the optimization problem and analyze the results. It is shown in this study that the System Average Interruption Frequency Index of the system improves with the incorporation of energy storage into the micro-grid. A specific case study showing the results from this research is demonstrated on a small-scale system in Honduras that includes wind and solar generation. This study shows the potential to improve the feasibility of renewable energy sources in the grid system by using energy storage, thereby lowering emissions in electricity generation.
Metastasis of Breast Cancer Cells Inhibits Tumor Growth and Prevents Bone Depletion of Plasmacytoid Dendritic Cells

Elevated levels of plasmacytoid dendritic cells (pDC) have been reported in breast cancer patients, but the signiﬁcance remains undeﬁned. Using three immunocompetent mouse models of breast cancer bone metastasis, we identiﬁed a key role for pDC in facilitating tumor growth through immunosuppression and aggressive osteolysis. Following inﬁltration of macrophages upon breast cancer dissemination, there was a steady increase in pDC within the bone, which resulted in a sustained Th2 response along with elevated levels of regulatory T cells and myeloid-derived suppressor cells. Subsequently, pDC and CD4 + T cells, producing osteolytic cytokines, increased with tumor burden, causing severe bone damage. Microcomputed tomography and histology analyses of bone showed destruction of femur and tibia. The therapeutic signiﬁcance of this ﬁnding was conﬁrmed by depletion of pDC, which resulted in decreased tumor burden and bone loss by activating tumor-speciﬁc cytolytic CD8 + T cells and decreasing suppressor cell populations. Thus, pDC depletion may offer a novel adjuvant strategy to therapeutically inﬂuence breast cancer bone metastasis. The Journal of Immunology , 2012, 189: 000–000.
Development of Atomic, Molecular, Optical Physics-Based Technologies for Reaching Ultimate Limits in the Fundamental Physics Experiments in Space A Topic White Paper submitted to Decadal Survey on Biological and Physical Sciences Research in Space 2023-2032

Nicholas P. Bigelow1, Grant Biedermann2, Scott A. Diddams3, Kurt Gibble4, Subhadeep Gupta5, Ulf E. Israelsson6, Wolfgang Ketterle7, John Kitching3, Gour S. Pati8, Robert L. Tjoelker6, Slava G. Turyshev6, Jun Ye3,9, and Nan Yu6 1Department of Physics and Astronomy, University of Rochester, Rochester, NY 14627 2Department of Physics and Astronomy, University of Oklahoma, Norman, OK 73019 3Time and Frequency Division, National Institute of Standards and Technology, Boulder, CO 80305 4Department of Physics, Pennsylvania State University, University Park, PA 16802 5Department of Physics, University of Washington, Seattle, WA 98195 6Jet Propulsion Laboratory, California Institute of Technology, 4800 Oak Grove Drive, Pasadena, CA 91109 7Department of Physics, Massachusetts Institute of Technology, Cambridge, MA 02139 8Physics and Engineering Program, Delaware State University, Dover, DE 19901 9JILA, Department of Physics, University of Colorado, Boulder, CO 80309
Detection of Ultralight Dark Matter and Spatial Variation of Fundamental Constants with Space Quantum Sensors

We propose a clock-comparison space mission with two clocks on board, in orbits near the Sun, to search for an ultralight dark matter halo bound to the Sun, partly motivated by the NASA Deep Space Atomic Clock and Parker Solar Probe. We show that the projected sensitivities of space-based clocks exceed the reach of Earth-based clocks by orders of magnitude, probing dark matter motivated by the naturalness of the Higgs mass. Another primary goal of our proposal is to test the potential spatial variations of fundamental constants, improving the Earth-based limits by two orders of magnitude. 1Primary Author Contact Information: Dr. Yu-Dai Tsai, Department of Physics and Astronomy, University of California, Irvine, CA 92697-4575, USA, Phone: (607) 319-6694, Email: yt444@cornell.edu
Analysis of Chinese Image Discourse Based on Crawler Algorithms

The study explores the construction of China's image in the context of a major public health event such as the Newcastle pneumonia epidemic by crawling social media data in China during the epidemic prevention and control period. The study argues that, in the era of new media, especially self-media, the image of China in Chinese social media during the prevention and control of the Newcastle pneumonia epidemic presents multiple types of images, ranging from a “dual” image of those fighting and preventing the epidemic in their home country and their country of residence to a “dual” image of those being questioned and even those being “questioned” in their home country and their country of residence. “It is worth noting that in March 2020, the number of people who have been affected by the epidemic in their home countries will be increased to 3,000. It is worth mentioning that in mid to late March 2020, Chinese people in China had a serious negative image crisis, but it was quickly repaired through mechanisms such as government “stabilisers,” mainstream media “gatekeepers,” and audience “self-purification. ” One of the lessons is that image repair relies on the “stabiliser,” the “gatekeeper” of mainstream media, and the “self-purification” of the audience. One of the lessons is that image repair relies on the triple factor of “real society—audience” working together. The second lesson is that while the open Internet environment can generate a lot of exaggerated and false information; at the same time, audiences, including Chinese people, can remove misunderstandings and bridge differences through active voices and debates and activate rational and healthy positive energy. The epidemic is a “danger” and an “opportunity” for China’s image.
Belowground Mutualisms to Support Prairie Reconstruction—Improving Prairie Habitat Using Mycorrhizal Inoculum

As a first step toward understanding the feasibility of using arbuscular mycorrhizal fungi (AMF) in reconstruction practice, we addressed four objectives: (1) compare rootassociated AMF communities of plants between high-quality remnant prairies and reconstructed prairies, (2) compare root-associated AMF communities between plant species that declined in reconstructions and species that were thriving, (3) compare AMF communities collected from roots of plants in geographically separate parts of Minnesota and Iowa, and (4) assess the relationship between AMF communities and soil abiotic factors. We collected soil and root samples in 8 prairies reconstructed in 2005 (and monitored through 2015) and 6 remnant prairies, and the samples were separated into 6 geographically determined clusters, each containing 1–2 reconstructions and 1 remnant. Sequencing was completed on 1,188 deoxyribonucleic acid extracts from individual plant root samples, and fungal sequences were clustered to operational taxonomic units at 97-percent identity. Nonmetric multidimensional scaling was used to visualize differences in species composition of AMF communities among plant species and field sites. Permutational analysis of variance was completed to test for differences in AMF community composition between the 2 types of sites (remnants and reconstructions), among plant species, and among the 6 site clusters. AMF communities differed between remnant and reconstructed prairies, with one exception, and AMF associated with individual plant species also tended to differ, depending on whether the plant species’ roots were collected from remnant or reconstructed prairie. On the other hand, we did not determine that, as a group, species in decline in the reconstructions we had monitored were more likely to 1University of Groningen and GreenFinch Research. 2North Dakota State University. 3University of Minnesota. 4U.S. Geological Survey. 5U.S. Fish and Wildlife Service. harbor different AMF communities compared to species not in decline in the reconstructions. Significant interactions between site type and clusters indicate geographic variation in AMF communities. Total carbon and nitrogen, and organic matter, were higher in remnant soils, whereas phosphorus, which at high concentrations reduces the value of AMF to plants, was much higher in soils collected from reconstructions.
On the Estimation and Reduction of the Frequency of the Loss of Offsite Power Event

Loss of offsite power (LOOP) contributes significantly to the estimated core damage frequency (CDF) for the majority of nuclear power plants (NPPs). Based on experience from some near-miss events around the world and especially in Japan from Fukushima Daiichi accident and several other NPPs it was proven the how important power supply is for nuclear safety. Therefore comprehensive description of the LOOP initiating event is given in this paper. Specific experience of the NPP Krško (NEK) related operation is also presented with comparison to the U.S. NPPs’ approaches and experience. Statistical data are given to explain main characteristics (frequency and duration) of the LOOP event. Important historical trends are also identified. LOOP event frequency is often calculated using generic data because of statistical data base. Thereat, many important factors that influence LOOP are neglected, such as the specific power network configuration, load profiles, climate conditions, and ageing of the equipment. Several different approaches that take these factors into consideration are therefore presented and discussed. Familiarity with the actual state of the NPP, power network and weather conditions helps in the proper planning process of the test and maintenance (T&M) activities and reducing of the risk. This is significant for better online risk estimate. Due to the Fukushima accident, it is necessary to review the safety of the NPPs from new different angles. This paper also shortly reviews planned modifications in NEK that will increase the electric power supply availability (i.e., reduce LOOP event frequency. Other, worldwide solutions that can help to avoid or mitigate LOOP effects are briefly presented.
The effect of CYP3A4 genetic polymorphisms on the pharmacokinetics of calcineurin inhibitors in renal transplant recipients: a systematic review and meta-analysis protocol

Background: Calcineurin inhibitors (CNIs) are metabolized by CYP3A4. Polymorphisms in the CYP3A4 gene alter the activity of CYP3A4 protein and therefore affect the CNIs concentrations. Results of studies that investigated the association between CYP3A4 polymorphisms and CNIs pharmacokinetics are controversial. Therefore, this systematic review and meta-analysis will evaluate the effect of CYP3A4 polymorphisms on the pharmacokinetics of CNIs in renal transplant recipients. Method: This protocol is developed according to the PRISMA-P guideline and registered in PROSPERO (CRD42020145219). The MeSH/Emtree terms of CYP3A4 polymorphisms and CNIs pharmacokinetics in PECO-based question will be obtained from the comprehensive literature search on PubMed/MEDLINE, Scopus, Web of Science, Embase, CENTRAL, and ProQuest without any language limitation from 1 January 1998 to 31 March 2021. Google Scholar search engine, registries, conference papers, and key journals will also be searched. Screening, selection, quality assessment, and data extraction will be performed by two independent reviewers. Statistical heterogeneity will be calculated by the Q Cochrane test and I2 statistic. Publication bias and sensitivity analysis will be evaluated by appropriate tests. Results and conclusion: According to the meta-analysis of the aggregated data from the relevant primary studies, the association between CYP3A4 polymorphisms and CNIs pharmacokinetics will be reported, which possibly help the pharmacogenetic-guided dosing approach.
A data mining framework for relevance feature discovery

This thesis is a study for automatic discovery of text features for describing user information needs. It presents an innovative data-mining approach that discovers useful knowledge from both relevance and non-relevance feedback information. The proposed approach can largely reduce noises in discovered patterns and significantly improve the performance of text mining systems. This study provides a promising method for the study of Data Mining and Web Intelligence.
of permanent grass versus tillage on aggregation and organic matter dynamics in a poorly developed vineyard Effects of permanent grass versus tillage on aggregation and organic matter dynamics in a poorly developed

Vineyard soils are typically characterised by poor development, low organic matter content, steep slopes, and consequently a limited capacity of conservation of the organic matter which is weakly bound to the mineral soil phase. In such conditions, permanent grass may help the conservation of the soil quality. The aim of this work was to evaluate the effects of permanent grass vs. single autumn tillage on soil structure and organic matter dynamics in a hilly vineyard. In the periods 1994-1996 and 2010-2012 soil samples were collected three times per year, in different seasons. Aggregate stability analyses and organic matter fractionation were performed. The effects of grass cover on soil recovery capacity after tillage disturbance were slow. Slight increases in aggregate resistance and organic matter contents were visible after three years, and only after long-lasting permanent grass the two plots (permanent grass/previously tilled) showed great decrease of aggregate losses and increase of organic matter. Even a single tillage produced however an immediate decrease in aggregate resistance, while the amounts of organic matter remained unaffected. Organic matter, however, showed marked seasonal dynamics, which involved not only recently added organic matter fractions but also the mineral-associated pool. Tillage altered organic matter dynamics by preventing the addition of new material into the mineral-associated organic fractions and limiting the stabilization of aggregates.
Melan-A/HLA-A2 T Cell Cross-Reactivity Immunizations on the Anti-Self Impact of Orthologous Melan-A Peptide

In HLA-A2 individuals, the CD8 T cell response against the differentiation Ag Melan-A is mainly directed toward the peptide Melan-A 26–35 . The murine Melan-A 24–33 sequence encodes a peptide that is identical with the human Melan-A 26–35 decamer, except for a Thr-to-Ile substitution at the penultimate position. Here, we show that the murine Melan-A 24–33 is naturally processed and presented by HLA-A2 molecules. Based on these ﬁndings, we compared the CD8 T cell response to human and murine Melan-A peptide by immunizing HLA-A2 transgenic mice. Even though the magnitude of the CTL response elicited by the murine Melan-A peptide was lower than the one elicited by the human Melan-A peptide, both populations of CTL recognized the corresponding immunizing peptide with the same functional avidity. Interestingly, CTL speciﬁc for the murine Melan-A peptide were completely cross-reactive against the orthologous human peptide, whereas anti-human Melan-A CTL recognized the murine Melan-A peptide with lower avidity. Structurally, this discrepancy could be explained by the fact that Ile 32 of murine Melan-A 24–33 created a larger TCR contact area than Thr 34 of human Melan-A 26–35 . These data indicate that, even if immunizations with orthologous peptides can induce strong speciﬁc T cell responses, the quality of this response against syngeneic targets might be suboptimal due to the structure of the peptide-TCR contact surface. Journal Immunology, 2006, 176: 6560–6567. E-V10/I9 epitope cross-react with the E-V10/T9 epitope.
The practical example of connecting the plant processing industry into a single supervisory and control system

This paper describes the connecting of different plants within the processing industry using modern technologies. The basic idea is to show the ability of linking different manufacturer's equipment into a single supervisory system. The contemporary manufacturing requires modern solutions in the field of supervision and management so as to increase the efficiency and reduce the production costs of the final product. The connectivity solution shown in this paper is in line with modern trends and demands of the real production process. The described system was practically implemented in the plant using the internationally standardized communication media and protocols. The practical implementation provided users with a better insight into the production process by providing a number of possibilities for data collecting and analysis.
A Sampling-Based Optimization Approach to Handling Environmental Uncertainty for a Planetary Lander

Planning for autonomous operation in unknown environments poses a number of technical challenges. The agent must ensure robustness to unknown phenomena, unpredictable variation in execution, and uncertain resources, all while maximizing its objective. These challenges are exacerbated in the context of space missions where uncertainty is often higher, long communication delays necessitate robust autonomous execution, and severely constrained computational resources limit the scope of planning techniques that can be used. We examine this problem in the context of a Europa Lander concept mission where an autonomous lander must collect valuable data and communicate that data back to Earth. We model the problem as a hierarchical task network, framing it as a utility maximization problem constrained by a monotonically decreasing energy resource. We propose a novel deterministic planning framework that uses periodic replanning and sampling-based optimization to better handle model uncertainty and execution variation, while remaining computationally tractable. We demonstrate the efficacy of our framework through simulations of a Europa Lander concept mission in which our approach outperforms several baselines in utility maximization and robustness.
Low-Power PLL in 65nm CMOS

A 53-61GHz low-power charge-pump PLL is presented. This integer-N type-II PLL employs a class-D V-band VCO, a divide-by-1024 chain. The first divider in the chain is an inductor-less divide-by-4 injection-locked frequency divider (ILFD). The proposed PLL is fabricated in a standard 65nm CMOS process. The PLL achieves a tuning range of 13% from 53.35GHz to 60.83GHz and a phase-noise of -85.23dBc/Hz at 1MHz offset, while consuming a minimum DC power of 50.8mW. This PLL can be used as part of the LO generation network for millimeter-wave phased-array transceivers.
Evaluation of seven SARS-CoV-2 rapid IgM/IgG tests

Introduction: In late 2019, a new coronavirus was detected in China causing an acute respiratory illness known as COVID-2019. Objective. Evaluate seven commercial systems for the rapid detection of antibodies to determine their sensitivity, specificity and robustness in our conditions to be used by the National Health System. Methods: Seven systems were evaluated for the detection of IgM/IgG antibodies. Evaluation panel with samples from negative individuals, sera from other pathologies prior to the pandemic and from positive patients with the disease were conformed. Results: General sensitivity figures range between 25 and 88%, with the Realy Tech and Deep Blue systems showed the best results. The specificity for both was 100%. The IgM positive rate according to Realy Tech or Deep Blue increased to 94.1 or 81.8% in the late stage of the disease. Conclusions: Realy Tech and Deep Blue systems detected IgM/IgG in serum and in whole blood with adequate sensitivity and specificity. Cross-reactivity does not seem to be a problem. Serology in the case of COVID-19 cannot be used as a diagnostic but it allows epidemiological surveillance to know the immune status of populations. It’s essential to analyze the immune response against the infection to carry out epidemiological characterization and potentially inform individual risk of future disease and the study of potential vaccines. © 2021, Editorial Ciencias Medicas. All rights reserved.
Global crop production: adaptation to temperature

24 Increasing temperature trends are expected to impact yields of major field crops 25 by affecting various plant processes, such as phenology and growth. However future 26 projections, especially at the global scale, do not consider any agronomic adaptation 27 in farming practices. We use an ensemble of seven Global Gridded Crop Models 28 (GGCMs) contributing to the AgMIP-Gridded project to quantify the impacts and 29 adaptation potential of field crops under increasing temperature. We study how 30 uniform warming scenarios up to 6 K affect the productivity and growing period 31 duration of five major crops. The design of the experiment aims at understanding 32 adaptation measures targeted to temperature-driven impacts and therefore leaves out 33 changes in any other climate variable. We find that, without adaptation the dominant 34 effect of temperature increase is to shorten the growing period and to reduce yields 35 and production, consistently across crops and regions. We then test the potential 36 of two agronomic measures to contrast warming-induced yield reduction, assuming 37 that (i) cultivars with adjusted phenology would be used to regain the reference 38 growing period duration; (ii) rainfed systemswould be converted to irrigated. Despite 39 substantial uncertainties in model parametrization and little agreement in spatial 40 patterns, at the global aggregation, model results are robust. We find that up to 3 K of 41 temperature increase, production losses could be fully compensated by maintaining 42 the original crop growing period. Irrigationwould also compensate production losses, 43 but would not reduce the temperature impacts. Across regions, the model ensemble 44 estimates larger adaptation potentials from unchanged growing periods in continental 45 and temperate regions, than in tropical and arid regions, where also irrigation has 46 respectively little effects and availability. 47