Miracle-dz/UniFAR-FTUs huggingface dataset:
MicroRNA regulation of BMP signaling; cross-talk between endothelium and vascular smooth muscle cells

Vascular smooth muscle cells (vSMC) are essential to the integrity of blood vessels, and therefore an attractive target of therapeutics aimed at improving vascular function. Smooth muscle cells are one of the few cell types that maintain plasticity and can switch phenotypes from differentiated (contractile) to de-differentiated (synthetic) and vice versa. As small regulatory transcripts, miRNAs act as genetic ‘fine tuners’ of posttranscriptional events and can act as genetic switches promoting phenotypic switching. The microRNA miR26a targets the BMP signalling effector, smad1. We show that loss of miR26 leads to hemorrhage (a loss of vascular stability) in vivo, suggesting altered vascular differentiation. Reduction in miR26a levels increases smad1 mRNA and phospho-Smad1 (pSmad1) levels. We show that increasing BMP signalling by overexpression of smad1 also leads to hemorrhage and that normalization of Smad1 levels through double knockdown of miR26 and smad1 rescues hemorrhage suggesting a direct relationship between miR26 and smad1 and vascular stability. Using a BMP genetic reporter and pSmad1 staining we show that the effect of miR26 on vascular instability is non-autonomous; BMP signalling is active in embryonic endothelial cells, but not in smooth muscle cells. Nonetheless, increased BMP signalling due to loss of miR26 results in an increase in acta2-expressing smooth muscle cell numbers and promotes a differentiated smooth muscle morphology. Taken together our data suggests that miR26 modulates BMP signalling in endothelial cells and indirectly promotes a differentiated smooth muscle phenotype. Our data also suggests that crosstalk from BMP-responsive endothelium to smooth muscle is important for its differentiation.
Controlling the NSGA-II Algorithm Convergence Toward a Fixed Pareto-optimal Solution for the Gross Domestic Product Quarterly Disaggregation

In this paper, we test the convergence speed of the fast elitist Non-Dominated Sorting Genetic Algorithm (NSGA-II) on the Gross Domestic Product (GDP) quarterly disaggregation problem. In fact, we perform many simulations by considering various inputs of the NSGA-II parameters with respect to the population size (pop_size), the iteration number (no_rum), the maximum number of generations (gen_max) and the mutation distribution index in the polynomial mutation (etam). It turns out that for suitably large values of the parameters pop_size, no_rum and gen_max, the NSGA-II algorithm converges to a single Pareto-optimal solution located in a fixed cuboid. Due to the elitism in the NSGA-II and our simulation results, we suspect that the mutation distribution index alone doesn’t influence the time of algorithm convergence and the number of Pareto-optimal solutions. Therefore, we reach the most likely conclusion that only an appropriate choice of the parameter triplet (pop_size, no_rum, gen_max) can ensure the convergence of the algorithm toward a fixed Pareto-optimal solution for the Quadratic Multi-objective Programming of GDP quarterly disaggregation. It is worth noted that our work is an extension of previous works in the same field.
DISTRIBUTION MAPPING OF GLYPHOSATE-RESISTANT Eleusine indica IN SERDANG BEDAGAI REGENCY

The presence of Eleusine indica from oil palm plantations in Serdang Bedagai Regency has never been overall reported glyphosate-resistant. This study aims to distribution mapping and resistance classification of E. indica population to glyphosate herbicide of oil palm plantations in Serdang Bedagai Regency. This research was conducted on Weed Research Center Land in Faculty of Agriculture, Universitas Sumatera Utara in October 2016 to August 2017. This research used glyphosate herbicide with the recommended dose at 720 g ai ha-1 and three replications. Population ESU0 (from Politeknik Negeri Medan Ball Field) as a comparison. Data analysis using IBM SPSS Statistics 20 software. The results showed there E. indica population classified as glyphosate-resistant amount 89.36% (42 population), classified as glyphosate-resistant moderate amount 10,64% (5 population) and there is no population glyphosate-susceptible on oil palm plantations in Serdang Bedagai Regency of recommended dose at 720 g ai ha-1.
Two new centric diatoms (Bacillariophyta) from the sub-Antarctic region

During a survey of the limno-terrestrial diatom flora of the sub-Antarctic region, two unknown melosiroid diatom taxa were observed in several shaded, damp cave (moss and soil) samples from Heard Island and Ile de la Possession, the main island of the Crozet Archipelago. Comparison with already known species from the genus Melosira and the recently described genera Arcanodiscus, Angusticopula and Ferocia, resulted in the description of both new taxa based on detailed light and scanning electron microscopy. A first species was described as Ferocia subantarctica sp. nov. and can be distinguished based on its numerous, narrow girdle bands, relatively weakly domed valves, a limited number of well-developed spines and a rather large, hyaline central area. The second species, Arcanodiscus desmetianus Van de Vijver sp. nov., can be recognized based on its solitary frustules, a series of parallel ridges surrounding the mantle and a hyaline central area that is only less than 50% of the total valve diameter. Both taxa are morphologically and ecologically characterized and compared with all known melosiroid taxa worldwide.
Health and Well-Being in Surviving Congenital Heart Disease Patients: An Umbrella Review With Synthesis of Best Evidence

Background Advances in the management of congenital heart disease (CHD) patients have enabled improvement in long-term survival even for those with serious defects. Research priorities (for patients, families and clinicians) have shifted from a focus on how to improve survival to exploring long-term outcomes in patients with CHD. A comprehensive appraisal of available evidence could inform best practice to maximize health and well-being, and identify research gaps to direct further research toward patient and clinical need. We aimed to critically appraise all available published systematic reviews of health and well-being outcomes in adult patients with CHD. Methods We conducted an umbrella review, including any systematic reviews that assessed the association of having vs. not having CHD with any long-term health (physical or mental), social (e.g., education, occupation) or well-being [e.g., quality of life (QoL)] outcome in adulthood (≥18-years). Results Out of 1330 articles screened, we identified five systematic reviews of associations of CHD with adult outcomes. All but one (which studied QoL) explored health outcomes: one cardiovascular, two mental, and one mortality after transplant. CHD patients had a higher risk of stroke, coronary heart disease and heart failure, with the pooled relative risk (RR) for any outcome of 3.12 (95% CI: 3.01 to 3.24), with substantial heterogeneity (I2 = 99%) explained by the outcome being studied (stronger association for heart failure) and geography (stronger in Europe compared with other regions). CHD patients had a higher risk of anxiety (OR = 2.58 (1.45 to 4.59)], and higher mean scores for depression/anxiety symptoms (difference in means = −0.11 SD (–0.28 to 0.06), I2 = 94%)]. Compared with patients having a cardiac transplant for other (non-CHD) diseases, CHD patients had higher short-term mortality (RR at 30-days post-transplant = 2.18 [1.62 to 2.93)], with moderate heterogeneity (I2 = 41%) explained by previous surgery (higher mortality with prior Fontan/Glenn operation). All domains of QoL were lower in patients with Fontan’s circulation than non-CHD adults. Conclusion Adults with CHD have poorer cardiovascular, mental health and QoL outcomes, and higher short-term mortality after transplant. The paucity of systematic reviews, in particular for outcomes such as education, occupation and lifestyles, highlights the need for this to be made a priority by funders and researchers. Systematic Review Registration [www.crd. york.ac. uk/prospero], identifier [CRD42020175034].
Energy balance of biogas production from perennial grasses.

The energy balance of biogas production from perennial grass silage has been investigated in this paper. The anaerobic digestion process parameters and grass species have influence on biogas yield such as organic load. The model of technological process of biomass preparation and its digestion to biogas has been performed. The variation of digester organic load (1.0; 1.5 and 2.0 kg VS ·m -3 ·d -1 shows the difference in total (direct and indirect) energy input from 490 MJ·t -1 biomass at 2.0 kg VS ·m -3 ·d -1 up to 570 MJ·t -1 biomass at 1.0 kg VS ·m -3 ·d -1 . The laboratory experiments of biogas production from grass silage show the highest biogas yield (115 l·kg -1 biomass) at 1.0 kg VS ·m -3 ·d -1 . By increasing the organic load up to 2.0 kg VS ·m -3 ·d -1 the biogas yield decreases down to 93 l·kg -1 from biomass. The methane (CH 4) concentration in the obtained biogas had a little dependence on digester organic load and was in the range of 58-60 %. Such biogas has a sufficient methane concentration and is suitable for cogeneration.
Abiotic Stress Tolerance in Legumes – Critical Approaches

Legumes (Leguminosae or Fabaceae) belong to the second most important plant family in agriculture after the Poaceae or grass family. They provide the largest single source of vegetable protein in human diets and livestock feed (forages), and contribute to agriculture, the environment and human health (Grant and Cooper, 2003). In developing countries, grain legumes or pulse crops represent an important component of local food consumed and are a key source of protein in the diets. They provide an input-saving and resourceconserving alternative because they fix atmospheric nitrogen, thus reducing the need for chemical fertilizers while enhancing overall crop productivity. In farming systems, International Journal of Current Microbiology and Applied Sciences ISSN: 2319-7706 Volume 8 Number 01 (2019) Journal homepage: http://www.ijcmas. com
When Do We Leave Discourse Relations Underspecified? The Effect of Formality and Relation Type

Speakers have several options when they express a discourse relation: they can leave it implicit, or make it explicit, usually through a connective. Although not all connectives can go with every relation, there is one that is particularly frequent and compatible with very many discourse relations, namely and. In this paper, we investigate the effect of discourse relation type and text genre on the production and perception of underspecified relations of contrast and consequence signalled by and. We combine a corpus study of spoken English, a production experiment and a perception experiment in order to test two hypotheses: (1) and is more compatible with relations of consequence than of contrast, due to factors of cognitive complexity and conceptual differences; (2) and is more compatible with informal than formal genres, because of requirements of recipient design. The three studies partially converge in identifying a stable effect of relation type and genre on the production and perception of underspecified relations of consequence and contrast marked by and.
Comparison of Auditory-Inspired Models Using Machine-Learning for Noise Classification

—Two auditory-inspired feature-extraction models, the Multi-Resolution CochleaGram (MRCG) and the Auditory Image Model (AIM) are compared on their acoustic noise classification performance, when combined with two supervised machine-learning algorithms, the ensemble bagged of decision trees or Support Vector Machine (SVM). Noise classification accuracies are then assessed in nine different sound environments with or without added speech and at different SNR ratios. The results demonstrate that classification scores using feature extraction with the MRCG model are significantly higher than when using the AIM model (p< 0.05), irrespective of machine-learning classifier. Using the SVM as a classifier also resulted in significantly better (p<0.05) classification performance over bagged trees, irrespective of feature-extraction model. Overall, the MRCG model combined with SVM provides a more accurate classification for most of the sound stimuli tested. From the comparison study, suggestions on how auditory model-plus-machine-learning can be improved for the purpose of sound classification are offered.
Micropropagation and acclimatization of Aloe polyphylla and Platycerium bifurcatum.

Shoot cultures of Aloe polyphylla were initiated from young shoot explants of in vitro grown plants. The basal medium was MS medium (MURASHIGE and SKOOG, 1962), supplemented with 100 mgl-1myo-inositol, and 30 gl-1 sucrose. Agar (0.8 %) was used as the gelling agent. Different cytokinins, singly or in combination with auxins (IBA and NAA), were tested for shoot proliferation activity. All the cytokinins tested (kinetin, zeatin, iP, and BA) gave a good shoot proliferation response. The optimal concentrations for shoot proliferation of each of the cytokinins tested were: zeatin (0.5 mgl-1), kinetin (1.5 mgl-1), iP (1.0 mgl-1) and BA (1.5 mgl-1). In combination with auxins, the optimal combinations were kinetin/NAA (2.0/0.1 mgl-1), kinetinllBA (1.5/1.0 mgl-1), zeatinllBA (1.0/0.5 mgl-1), zeatin/NAA (1.0/1.0 mgl-1), BA/IBA (1.0/1.0 mgl-1), BA/NAA (1.5/0.1 mgl-1). Although it gave the highest number of shoots per explant, BA was responsible for hyperhydricity. Temperature and sucrose also influenced shoot proliferation. The optimal temperature was 25°C, while 30 gl-1 was the optimal concentration of sucrose for shoot proliferation. Plants rooted well in plant growth regulator-free MS medium. Amongst the potting mixtures tested, soil: sand: vermiculite (1:1:1 v/v) was the best with 98 % plantlet survival. In the second part of this project, Platycerium bifurcatum cultures were established using leaf explants. The basal medium was MS medium (MURASHIGE and SKOOG, 1962), supplemented with 100 mgl-1 myo-inositol and 30 gl-1 sucrose. For bud initiation, 1.0 mgl-1BA was used, while 0.8 % agar was used as the gelling agent. Three different strengths of MS medium (full, half, and one-quarter strength) without plant growth regulators were tested for further bud growth and development. Half-strength MS proved to be the best for further
Study of Formulation, Sensory Evaluation, Antioxidant Potential and Storage Study of Watermelon Based Whey Beverage from Camel and Buffalo Milk

Present study was based on whey, obtained by acid coagulation of camel and buffalo milk, mixed in a ratio of 70:30. Further this whey was used to prepare watermelon based; ready-toserve (RTS) whey beverage using different levels of watermelon juice in which sugar (4.5%) and black salt (1.0%) was added replacing whey and on the basis of whey, 4 different treatments viz. T1, T2, T3 and T4 respectively were prepared. Control treatment (T0) was the whey. Sensory evaluation was carried out by a group of panellists on the basis of 8 point hedonic scale. The proportion which has 74.5% whey and 20% watermelon juice (T4) had highest overall acceptability. On the basis of sensory evaluation, further storage study was carried out for the treatment T4 with different parameters like pH, TA (Titratable acidity), DPPH (2, 2′-diphenyl-1-picrylhydrazyl), ABTS(2, 2′-azinobis (3-ethylbenzthiazoline-6-sulphonic acid) and TBA (2-Thio Barbituric Acid) over a period of 12 days. Among storage period increase in TA and TBA whereas decrease in pH, DPPH and ABTS value were noted. Results of storage revealed that whey beverage have its highest functional properties and accessibility when consume in fresh state.
Drone Remote Identification Protocol (DRIP) Architecture

This document describes an architecture for protocols and services to support Unmanned Aircraft System Remote Identification and tracking (UAS RID), plus UAS-RID-related communications. This architecture adheres to the requirements listed in the Drone Remote Identification Protocol (DRIP) Requirements document (RFC 9153). Stream: RFC: Category: Published: ISSN: Authors: Internet Engineering Task Force (IETF) 9434 Informational July 2023 2070-1721 S. Card AX Enterprize A. Wiethuechter AX Enterprize R. Moskowitz HTT Consulting S. Zhao, Ed. Intel A. Gurtov Linköping University Status of This Memo This document is not an Internet Standards Track specification; it is published for informational purposes. This document is a product of the Internet Engineering Task Force (IETF). It represents the consensus of the IETF community. It has received public review and has been approved for publication by the Internet Engineering Steering Group (IESG). Not all documents approved by the IESG are candidates for any level of Internet Standard; see Section 2 of RFC 7841. Information about the current status of this document, any errata, and how to provide feedback on it may be obtained at . https://www.rfc-editor.org/info/rfc9434
Innovative Knowledge Productivity in Community of Practice in Public Hospitals of Thailand: A Model Comparison Approach

The Innovative Knowledge Productivity (INN) is the ability of health care professionals to survive will come to depend on their "comparative advantage" in making the knowledge worker more productive. The current research represents a conceptual replication of several previous model comparison studies. The particular models under investigation are Knowledge sharing (KS) model (KSM model) of Van den Hooff and De Ridder (2004) and Absorptive capacity (ACAP) Model (ACM model) of Todorova and Durisin (2007), potentially adequate in the targeted healthcare professional setting. These models are empirically examined and compared, using samples consisted of 428 Registered Nurses of the Knowledge Management Network for Caring Patients with Diabetes at Public Hospitals in the Northern Region of Thailand. We employed a model comparison approach to identify the best fitting model to predict Innovative Knowledge Productivity. Results of the study highlight Absorptive capacity Model (ACM) can predict The Innovative Knowledge Productivity of healthcare professional more than Knowledge sharing model (KSM) based on using the three criteria — (1) minimum discrepancy per degree of freedom (CMIN/DF); (2) The coefficient of determination (R 2 ) of The Innovative Knowledge Productivity; and (3) Root Mean Square Residual (RMR). ACM Model has a total effect on the dependent variable 0.524, which more than KSM Model (Total effect= 0.221). Moreover, the ACM model was identified as the best fitting model to predict Innovative Knowledge Productivity.
Ecological mechanisms and phylogeny shape invertebrate stoichiometry: A test using detritus‐based communities across Central and South America

1.Stoichiometric differences among organisms can affect trophic interactions and rates of nutrient cycling within ecosystems. However, we still know little about either the underlying causes of these stoichiometric differences, or the consistency of these differences across large geographic extents. 2.Here we analyze elemental (carbon, nitrogen, phosphorus) composition of 872 aquatic macroinvertebrates (71 species) inhabiting tank bromeliads (n = 140) from five distantly located sites across Central and South America to (1) test phylogenetic, trophic and body size scaling explanations for why organisms differ in elemental composition, and (2) determine if patterns in elemental composition are universal or context-dependent. 3.Taxonomy explained most variance in elemental composition, even though phylogenetic signals were weak and limited to regional spatial extents and to the family level. The highest elemental contents and lowest carbon:nutrient ratios were found in organisms at high trophic levels and with smaller body size, regardless of geographic location. 4.Carnivores may have higher nutrient content and lower carbon:nutrient ratios than their prey, as organisms optimize growth by choosing the most nutrient-rich resources to consume and then preferentially retain nutrients over carbon in their bodies. Smaller organisms grow proportionally faster than large organisms, and so are predicted to have higher nutrient requirements to fuel RNA and protein synthesis. Geography influenced the magnitude, more than the direction, of the ecological and/or phylogenetic effects on elemental composition. 5.Overall, our results show that both ecological (i.e., trophic group) and evolutionary drivers explain among-taxa variation in the elemental content of invertebrates, whereas intraspecific variation is mainly a function of body size. Our findings also demonstrate that restricting analyses of macroinvertebrate stoichiometry solely to either the local scale or species level affects inferences of the patterns in invertebrate elemental content, and their underlying mechanisms.
Tracking and Analysis of Causality at Enterprise Level (TRACE)

14. ABSTRACT We report on our work in developing the TRACE framework, which combines novel host-level tracking techniques with a proven enterprise-wide tracking system. Specifically, TRACE aimed to enable the detection and investigation of advanced persistent threat (APT) attacks in an enterprise environment using provenance and supports both what-provenance and howprovenance. Our design and implementation provided both logging and provenance propagation primitives. Its host-level provenance tracking component monitors host execution and collects both what-and how-provenance for individual host systems at the granularity of program execution units [22]. The enterprise-wide provenance tracking component builds upon the SPADE engine [10], which has been proven to be scalable and high-performance, and QuickGrail [7], which provides advanced query capabilities. In the course of four years and five engagements, we developed, evaluated, and refined TRACE to provide improvements on performance, scalability, and fidelity. During this time, the system call coverage increased (from 47 to 66 syscalls), while the time and space overhead reduced by over one and two orders of magnitude, respectively. In addition, we found that the TRACE instrumentation stack provided TA2 teams sufficient evidence to detect 80% of the attack stages across all evaluations, being one of the top-performing TA1 systems in the program. Our work was disseminated in 13 top-tier publications (ACSAC 2015, NDSS 2016, ASPLOS 2016, NDSS 2017, Usenix Security, NDSS 2018, Usenix ATC 2018, ACSAC 2018), and received best paper awards at both the Network and Distributed System Security Symposium (NDSS 2016) and Usenix Security 2017. The team also graduated three PhD students who contributed to TRACE.