Miracle-dz/UniFAR-FTUs huggingface dataset:
Biodiversity drives micropollutant 1 biotransformation in freshwater 2 phytoplankton assemblages 3 4

13 Biotransformation of chemical pollutants is an ecological process requiring multifunctionality 14 (multiple metabolic pathways) and, potentially, high biodiversity. Phytoplankton communities 15 are highly diverse functionally and taxonomically, and co-occur with complex mixtures of 16 organic pollutants in aquatic environments. Here, we investigated how phytoplankton species 17 richness (SR) and class richness (CR) determine the biotransformation of a mixture of 37 18 structurally diverse pollutants using laboratory experiments and analysis of high-resolution 19 mass-spectrometry data. Laboratory phytoplankton communities were assembled from pure 20 cultures by creating a gradient from one to five taxonomic groups, and 5 to 11 total species, in 21 defined medium. The biotransformation of pollutants over 6 days and the total number of 22 transformed chemicals increased with CR for 13 considerably transformed compounds. The 23 total number of transformation products (TPs, up to 42) was positively affected by both CR and 24 SR: CR had a positive effect on stable TPs found, SR led to more transient TPs. Our data 25 indicate that both taxonomic and functional diversity are important for biotransformation of 26 anthropogenic chemicals in phytoplankton and suggest that plankton biodiversity could play a 27 role in the remediation of pollutant loads in aquatic ecosystems. 28 29 This document is the accepted manuscript version of the following article: Stravs, M. A. , Pomati, F. , & Hollender, J. (2019). Biodiversity drives micropollutant biotransformation in freshwater phytoplankton assemblages. Environmental Science and Technology, 53(8), 4265-4273. https://doi.org/10.1021/acs.est.8b07018
Block Chain based Implementation of Electronic Medical Health Record

— Block chain-based implementation of EMR is a secured transaction and maintaining of medical records in various hospitals. Now technology has developed, but the technology in the medical record transaction has not developed. Still now, each hospital is maintaining a separate database to maintain their patient details. When the patient moved to another hospital, they need to carry document each and every time. If they missed the document, they need to take all the report from starting. It takes more time and cost. To avoid this, we need to maintain the globalized database to store the data in secure manner using block chain technology. Here the donor database also connected to it, when there is any emergency in the organ transplantation and any blood requirement, the hospital can approach the donor who are connected to this system and get the immediate transaction. It also reduces the time to get the donor at the necessary time. This project helps us to connect the hospitals and the voluntary organization under the one umbrella. This system maintains security in block by using Ethereum.
Elemental analysis of oxygenated organic coating on black carbon particles using a soot-particle aerosol mass spectrometer

Abstract. Chemical characterization of organic coatings is important to advance our understanding of the physio-chemical properties and environmental fate of black carbon (BC) particles. The soot-particle aerosol mass spectrometer (SP-AMS) has been utilized for this purpose in recent field studies. The laser vaporization (LV) scheme of the SP-AMS can heat BC cores gradually until they are completely vaporized, during which organic coatings can be vaporized at temperatures lower than that of the thermal vaporizer (TV) used in a standard high-resolution time-of-flight aerosol mass spectrometer (HR-ToF-AMS) that employs flash vaporization. This work investigates the effects of vaporization schemes on fragmentation and elemental analysis of known oxygenated organic species using three SP-AMS instruments. We show that LV can reduce fragmentation of organic molecules. Substantial enhancement of C2H3O+/CO2+ and C2H4O2+ signals was observed for most of the tested species when the LV scheme was used, suggesting that the observational frameworks based on the use of HR-ToF-AMS field data may not be directly applicable for evaluating the chemical evolution of oxygenated organic aerosol (OOA) components coated on ambient BC particles. The uncertainties of H:C and O:C determined using the improved-ambient (I-A) method for both LV and TV approaches were similar, and scaling factors of 1.10 for H:C and 0.89 for O:C were determined to facilitate more direct comparisons between observations from the two vaporization schemes. Furthermore, the I-A method was updated based on the multilinear regression model for the LV scheme measurements. The updated parameters can reduce the relative errors of O:C from −26.3 % to 5.8 %, whereas the relative errors of H:C remain roughly the same. Applying the scaling factors and the updated parameters for the I-A method to ambient data, we found that even though the time series of OOA components determined using the LV and TV schemes are strongly correlated at the same location, OOA coatings were likely less oxygenated compared to those externally mixed with BC.
Dietary tracers in Bathyarca glacialis from contrasting trophic regions in the Canadian Arctic

This study used fatty acid trophic markers (FATMs) to assess carbon sources of the bivalve Bathyarca glacialis and describe the pelagic-benthic coupling in the Canadian Arctic Archipelago. Four regions characterized by contrasting trophic environments were investigated: Southeastern Beaufort Sea, Victoria Strait, Lancaster Sound and Northern Baffin Bay. Our results suggest that B. glacialis is a non-selective filter feeder, feeding on microalgae, zooplankton, and bacteria. Diet was based mainly on microalgae, especially for coastal populations of the Southeast- ern Beaufort Sea. However, zooplankton and bacteria contributed more significantly to the diet of B. glacialis in bathyal populations than the coastal populations. Local and seasonal environmental conditions likely explain these differences in diet between populations. Furthermore, non- methylene- interrupted (NMI) fatty acids were present in the polar lipids of B. glacialis, which could be produced de novo when access to essential fatty acids (EFAs), required for maintaining membrane structure and function, is limited. This physiological response could help the bivalve to modulate its membrane fluidity in the face of constraints of the deep-sea environment such as low temperatures, high pressure, and when EFAs are less available in its diet. This bivalve species thus has certain attributes that could help it to cope with expected strong modifications in primary production dynamics due to climate-induced changes in the Arctic marine system.
1 Origins and Principles of Translational Control

Proteins occupy a position high on the list of molecules important for life processes. They account for a large fraction of biological macromolecules—about 44% of the human body’s dry weight, for example (Davidson et al. 1973)—they catalyze most of the reactions on which life depends, and they serve numerous structural, transport, regulatory, and other roles in all organisms. Accordingly, a large proportion of the cell’s resources is devoted to translation. The magnitude of this commitment can be appreciated in genetic, biochemical, and cell biological terms. Translation is a sophisticated process requiring extensive biological machinery. One way to gauge the amount of genetic information needed to assemble the protein synthetic machinery is to compile a “parts list” of essential proteins and RNAs. Analyses of the genomes of several microorganisms have converged on similar estimates (Hutchison et al. 1999; Tamas et al. 2002; Kobayashi et al. 2003; Waters et al. 2003). These organisms get by with about 130 genes for components of the translation machinery, including about 90 protein-coding genes (specifying 50–60 ribosomal proteins, about 20 aminoacyl-tRNA synthetases, and 10–15 translation factors) and about 40 genes for ribosomal and transfer RNAs (rRNA and tRNAs). A somewhat larger number of genes are involved in eukaryotes, which have more ribosomal proteins and initiation factors, for example. Discounting genes that are dispensable for growth in the laboratory, it can be calculated that approximately 40% of the genes in a theoretical minimal cellular genome are devoted to the translation apparatus. This heavy.
University of Bialystok Faculty of Biology and Chemistry

4 Streszczenie. 6 Introduction. 8 Chapter I Disappearing population of Betula humilis Schrk. on the Maliszewskie Lake, NE Poland. 13 Chapter II Sexual reproduction efficiency and genetic diversity of endangered Betula humilis Schrk. populations from edge and sub-central parts of its range. 19 Chapter III Unfavourable habitat conditions can facilitate hybridisation between the endangered Betula humilis and its widespread relatives B. pendula and B. pubescens. 33 Chapter IV Clonal diversity, gene flow and seed production in endangered populations of Betula humilis Schrk. 46 Conclusions. 59 References. 61 Co-authors’ statements. 67 A. Bona PhD dissertation Abstract ________________________________________________________________________
Amortized Nesterov's Momentum: A Robust Momentum and Its Application to Deep Learning

This work proposes a novel momentum technique, the Amortized Nesterov’s Momentum , for stochastic convex optimization. The proposed method can be regarded as a smooth transition between Nesterov’s method and mirror descent. By tuning only a single parameter, users can trade Nesterov’s acceleration for robustness, that is, the variance control of the stochastic noise. Motivated by the recent success of using momentum in deep learning, we conducted extensive experiments to evaluate this new momentum in deep learning tasks. The results suggest that it can serve as a favorable alternative for Nesterov’s momentum.
Additively Manufactured Dual-Mode Reconfigurable Filter Employing VO₂-Based Switches

Modern wireless devices operate on multiple frequency bands and, thus, can benefit from frequency-reconfigurable radio frequency (RF) components, especially filters that are typically larger in size and are required for every frequency band. In addition, many applications, such as wearable electronics, desire stable performance from the devices when they are bent or flexed. However, most of the reconfigurable filters are built on rigid substrates and utilize expensive discrete RF switches, which needs to be soldered to the filters. In this work, we present a fully printed filter that achieves reconfigurability through printed vanadium dioxide (VO2)-based switches that are extremely low cost and do not require any soldering for their attachment. The filter design is based on a dual-mode resonator, which enables a second-order filter despite a single resonator, thus helping in making the filter compact. It also helps in maintaining a decent insertion loss (2.6 dB), despite relatively low conductivity of the metallic ink. The switches, when activated thermally through a printed heater at the backside, reconfigure the frequency from 4 to 3.75 GHz. The filter has been realized on a flexible Kapton substrate, making the filter conformable to any surface. Measurements under various bending conditions reveal stable performance, making this filter design suitable for a number of wearable and the Internet-of-Things applications.
ASYMMETRIC POWER AND FRACTIONALLY INTEGRATED SUPPORT VECTOR AND NEURAL NETWORK GARCH MODELS WITH AN APPLICATION TO FORECASTING FINANCIAL RETURNS IN ISE100 STOCK INDEX

The study aims to augment commonly applied volatility models with support vector machines and neural networks. Further, fractional integration and asymmetric powers will be introduced. The proposed modeling strategy benefits from neural network based GARCH models and SVR-GARCH models. Following these approaches, the study proposed fractional integration and asymmetric power GARCH structures to obtain SVR-FIAPGARCH and NN-FIAPGARCH models to be evaluated in terms of learning algorithms. Models are evaluated for in-sample and out-of-sample forecasting of daily returns in Istanbul ISE100 stock index. Results suggest several findings: i. fractional integration and asymmetric power structures could be modeled with learning algorithms. ii. volatility clustering, asymmetry and nonlinearity characteristics are modeled more effectively with SVR-GARCH and MLP-GARCH models compared to the GARCH models. iii. SVR-GARCH models provided the lowest error criteria levels in out-of-sample and are closely followed by the MLP-GARCH models.
Ankle Brachial Index as Predictor of Coronary Artery Lesion Severity in Patients with Suspected Stable Coronary Artery Disease

Background: Atherosclerosis is a general process and can occur in coronary, peripheral, and aortic arteries. Traditional risk factors for atherosclerosis are gender, age, hypertension, diabetes, smoking, dyslipidemia, and family history. Atherosclerosis in the coronary arteries will develop into coronary artery disease (CAD). Angiography examination is the gold standard in CAD diagnosis. Lower extremity artery disease (LEAD) is part of peripheral artery disease (PAD) due to atherosclerosis and can be diagnosed using the ankle brachial index (ABI). The aim of this study was to predict the severity of coronary artery lesions in patients with suspected SCAD population with ABI.Method: This was a analytical observational study using cross sectional research design. Data was taken consecutively from affordable populations at the polyclinic of RSUP Dr. Sardjito for 2 periods in May 2017-August 2017 and August 2018-October 2018. Examination of ABI was performed before patients underwent angiography and ABI was divided into low ABI (≤0.90) and normal ABI (0.91-1.40). SS measurements based on video angiography were divided into severe (SS> 22) and not severe (SS ≤22). Data were presented in categorical form and analyzed using SPSS 23. Confounding factors were then analyzed by bivariate test. If there was a confounding factor with a value of p <0.25, it was followed by a multivariate test.Result: There were 35 subjects with low ABI and 71 subjects with severe lesions of 104 patients. The hypothesis test showed ABI increased the incidence of coronary lesion severity with PR 1.52 (1.21-1.93 with 95% CI) with a p value of 0.002. Bivariate tests show no confounding factors that increase the incidence of coronary lesion severity. Hypertension and dyslipidemia have a value of p <0.25 so multivariate analysis is performed. The results of multivariate analysis were only that ABI increase the incidence of coronary lesion severity (p= 0.004). Conclusion: A low ABI value will increase the incidence of coronary atherosclerosis lesion by 1.52 times in patients with suspected SCAD
Vertical distribution and migration of fish larvae in the NW Iberian upwelling system during the winter mixing period: implications for crossshelf distribution

The vertical distribution and vertical migrations of fish larvae and implications for their cross-shelf distribution were investigated in the northern limit of the NE Atlantic upwelling region during the late winter mixing period of 2012. The average positive values of the upwelling index for February and March of this year were far from normal, although the average hydrographic conditions during the period of study were of downwelling and the water column was completely mixed. Fish larvae, most in the preflexion stage, were concentrated in the upper layers of the water column and their distribution was depth stratified, both day and night. However, the larval fish community was not structured in the vertical plane and fish larvae did not show significant diel vertical migration (DVM), although five species showed ontogenetic vertical migration. In regions of coastal upwelling and in the absence of DVM, the location of fish larvae in the water column is crucial for their cross-shelf distribution. Thus, the cross-shelf distribution of the six most abundant species collected in this study can be explained by the surface onshore flow associated with coastal downwelling, retaining larvae of the coastal spawning species with a relatively shallow distribution in the shelf region and transporting larvae of slope spawning species onto the shelf. The wide vertical distribution shown by larvae of the offshore spawning species could be an adaptation of these species to ensure that some larvae reach the inshore nursery areas.
Sparse Principal Component Analysis via Fractional Function Regularity

In this paper, we describe a novel approach to sparse principal component analysis (SPCA) via a nonconvex sparsity-inducing fraction penalty function SPCA (FP-SPCA). Firstly, SPCA is reformulated as a fraction penalty regression problem model. Secondly, an algorithm corresponding to the model is proposed and the convergence of the algorithm is guaranteed. Finally, numerical experiments were carried out on a synthetic data set, and the experimental results show that the FP-SPCA method is more adaptable and has a better performance in the tradeoff between sparsity and explainable variance than SPCA.
Simulation und Optimierung der Lagerplatzvergabestrategie unter Anwendung einer Clusteranalyse in einem manuellen Kommissioniersystem eines Food Fulfillment Centers

Die Kommissionierung gilt nach wie vor als einer der personalintensivsten Prozesse in Lagern. Im E-Commerce mit Lebensmitteln, der sich in den letzten Jahren zunehmend entwickelt, sind Unternehmen aufgrund hoher Erwartungen an den Service (Same Day Delivery) sowie an die Qualitat und Vielfalt der Produkte mit besonderen Herausforderungen konfrontiert, den Prozess der Kommissionierung effizient zu gestalten. An dieser Stelle knupft dieses Paper an, indem unter Anwendung einer Clusteranalyse und eines genetischen Algorithmus die Lagerplatzvergabestrategie eines Food Fulfillment Centers optimiert und im Rahmen von Simulationsexperimenten bewertet wird. Dabei soll durch die Correlated Storage Assignment Strategy (CSAS) die Kommissionierleistung eines manuellen Person-zur-Ware-Kommissioniersystem erhoht werden. Der Optimierungsansatz zur CSAS wird in einem zweistufigen Verfahren umgesetzt: Wahrend auf der ersten Stufe zunachst disjunkte Cluster mit zwei unterschiedlichen Clusteralgorithmen gebildet werden, werden diese Cluster auf der zweiten Stufe unter Verwendung eines genetischen Algorithmus den Lagerplatzen zugewiesen. Vor dem Hintergrund, dass Planungsprobleme der Kommissionierung in Wechselwirkung zueinanderstehen, wird mit dem Order Batching Problem ein weiteres Planungsproblem bearbeitet. Dafur werden mithilfe einer Heuristik, die an die Smallest Number of Additional Aisles (SNAPA)-Strategie angelehnt ist, Kundenauftrage zu Kommissionierrundgangen zusammengefasst werden. Die Ruckkopplungen zwischen der CSAS und der Order-Batching-Heuristik sollen durch die Simulationsexperimente analysiert werden. Die Ergebnisse der Simulationsdurchlaufe legen offen, dass die Kommissionierleistung durch die CSAS maximiert werden kann. Durch die simultane Verwendung der Order-Batching-Heuristik konnen zusatzliche Optimierungspotenziale erzielt werden.
Assessing methodology of banks' ratings and their competitive positions: overview of main rating agencies

This paper analyzes methodologies of credit rating assessment of major rating agencies, with the focus on Fitch Ratings (Fitch). The methodology data were collected from Fitch Ratings. Also, the article review international literacy for factors and indicators adequacy in rating assessments. The purpose of this research is to overview literacy for the primary methodologies of banks' credit rating assessment. It was explained that ratios from financial indicators are most important for credit rating assessment. In some cases, in sovereign countries, support and macroeconomic factors are significant. We concluded that this area is still not enough researched and that in the future, the number of studies will appear with different methodological proposals and improvements.
You can find geodesic paths in triangle meshes by just flipping edges

This paper introduces a new approach to computing geodesics on polyhedral surfaces---the basic idea is to iteratively perform edge flips, in the same spirit as the classic Delaunay flip algorithm. This process also produces a triangulation conforming to the output geodesics, which is immediately useful for tasks in geometry processing and numerical simulation. More precisely, our FlipOut algorithm transforms a given sequence of edges into a locally shortest geodesic while avoiding self-crossings (formally: it finds a geodesic in the same isotopy class). The algorithm is guaranteed to terminate in a finite number of operations; practical runtimes are on the order of a few milliseconds, even for meshes with millions of triangles. The same approach is easily applied to curves beyond simple paths, including closed loops, curve networks, and multiply-covered curves. We explore how the method facilitates tasks such as straightening cuts and segmentation boundaries, computing geodesic Bézier curves, extending the notion of constrained Delaunay triangulations (CDT) to curved surfaces, and providing accurate boundary conditions for partial differential equations (PDEs). Evaluation on challenging datasets such as Thingi10k indicates that the method is both robust and efficient, even for low-quality triangulations.
High-Precision Spotlight SAR Imaging with Joint Modified Fast Factorized Backprojection and Autofocus

Fast factorized backprojection (FFBP) takes advantage of high accuracy of time-domain algorithms while also possessing high efficiency comparable with conventional frequency domain algorithms. When phase errors need to be compensated for high-resolution synthetic aperture radar (SAR) imaging, however, neither polar formatted subimages within FFBP flow nor the final Cartesian image formed by FFBP is suitable for phase gradient autofocus (PGA). This is because these kinds of images are not capable of providing PGA with a clear Fourier transform relationship (FTR) between image domain and range-compressed phase history domain. In this paper, we make some essential modifications to the original FFBP and present a scheme to incorporate overlapped-subaperture frame for an accurate PGA processing. The raw data collected by an airborne high-resolution spotlight SAR are used to demonstrate the performance of this algorithm.
The alcohol acetyltransferase Eat 1 is located in yeast mitochondria 1

14 Eat1 is a recently discovered alcohol acetyltransferase responsible for bulk ethyl acetate 15 production in yeasts such as Wickerhamomyces anomalus and Kluyveromyces lactis. These 16 yeasts have the potential to become efficient biobased ethyl acetate producers. However, 17 some fundamental features of Eat1 are still not understood, which hampers the rational 18 engineering of efficient production strains. The cellular location of Eat1 in yeast is one of 19 these features. To reveal its location, Eat1 was fused with yEGFP to allow intracellular 20 tracking. Despite the current assumption that bulk ethyl acetate production occurs in the 21 yeast cytosol, most of Eat1 localised to the mitochondria of K. lactis CBS 2359 Δku80. We 22 then compared five bulk ethyl acetate-producing yeasts in iron-limited chemostats with 23 glucose as carbon source. All yeasts produced ethyl acetate under these conditions. This 24 strongly suggests that the mechanism and location of bulk ethyl acetate synthesis are similar 25 in these yeast strains. Furthermore, an in silico analysis showed that Eat1 proteins from 26 various yeasts were mostly predicted as mitochondrial. Altogether, it is concluded that Eat127 catalyzed ethyl acetate production occurs in yeast mitochondria. This study has added new 28 insights to bulk ethyl acetate synthesis in yeast, which is relevant for developing efficient 29 production strains. 30