Miracle-dz/UniFAR-FTUs huggingface dataset:
Improving Security of Neural Networks in the Identification Module of Decision Support Systems

In recent years, neural networks have been implemented while solving various tasks. Deep learning algorithms provide state of the art performance in computer vision, NLP, speech recognition, speaker recognition and many other fields. In spite of the good performance, neural networks have significant drawback– they have been found to be vulnerable to adversarial examples resulting from adding small-magnitude perturbations to inputs. While being imperceptible to a human eye, such perturbations lead to significant drop in classification accuracy. It is demonstrated by many studies related to neural network security. Considering the pros and cons of neural networks, as well as a variety of their applications, developing of the methods to improve the robustness of neural networks against adversarial attacks becomes an urgent task. In the article authors propose the “minimalistic” attacker model of the decision support system identification unit, adaptive recommendations on security enhancing, and a set of protective methods. Suggested methods allow for significant increase in classification accuracy under adversarial attacks, as it is demonstrated by an experiment outlined in this article.
HYFI: Hybrid filling of the dead‐time gap for faster zero echo time imaging

The aim of this work was to improve the SNR efficiency of zero echo time (ZTE) MRI pulse sequences for faster imaging of short‐T2 components at large dead‐time gaps. ZTE MRI with hybrid filling (HYFI) is a strategy for retrieving inner k‐space data missed during the dead‐time gaps arising from radio‐frequency excitation and switching in ZTE imaging. It performs hybrid filling of the inner k‐space with a small single‐point‐imaging core surrounded by a stack of shells acquired on radial readouts in an onion‐like fashion. The exposition of this concept is followed by translation into guidelines for parameter choice and implementation details. The imaging properties and performance of HYFI are studied in simulations as well as phantom, in vitro and in vivo imaging, with an emphasis on comparison with the pointwise encoding time reduction with radial acquisition (PETRA) technique. Simulations predict higher SNR efficiency for HYFI compared with PETRA at preserved image quality, with the advantage increasing with the size of the k‐space gap. These results are confirmed by imaging experiments with gap sizes of 25 to 50 Nyquist dwells, in which scan times for similar image quality could be reduced by 25% to 60%. The HYFI technique provides both high SNR efficiency and image quality, thus outperforming previously known ZTE‐based pulse sequences, in particular for large k‐space gaps. Promising applications include direct imaging of ultrashort‐T2 components, such as the myelin bilayer or collagen, T2 mapping of ultrafast relaxing signals, and ZTE imaging with reduced chemical shift artifacts.
A 3D map of the Milky Way’s disk as traced by classical Cepheids

Abstract We have collected 2330 Cepheids to establish an intuitive 3D map of the Milky Way’s disk. As regards the warp amplitude, the Cepheid disk agrees well with the gas disk for radii up to 15 kpc. However, the mean line of nodes (LON) of the Cepheid disk deviates from the Galactic Center–Sun direction by 17.5±1.0°. This is a new and different result compared with previous results. The LON is not stable at any given radius, but it twists. The twisted pattern suggests that the formation of the Milky Way’s warp is dominated by the massive inner disk. The kinematic warp defined by the Cepheids is also in concordance with the spatial warp. In the 2020 era, the anticipated increasing number of new Cepheids will provide a key opportunity to view our Milky Way’s disk as a whole, and we expect that our knowledge of the disk’s main structural features will be much improved.
Mechanisms of Spindle Disassembly and Microtubule-kinetochore Attachment in the Yeast Saccharomyces cerevisiae

Author(s): Pigula, Adrianne Barber | Advisor(s): Barnes, Georjana; Drubin, David | Abstract: The timely regulation of spindle disassembly is essential for cells to coordinate mitotic exit with cytokinesis. In the budding yeast Saccharomyces cerevisiae, the microtubule-associated protein She1 functions in one of at least three parallel pathways that promote spindle disassembly. She1 phosphorylation by the Aurora kinase Ipl1 facilitates a role for She1 in late anaphase, when She1 contributes to the depolymerization of microtubules and shrinkage of spindle halves. By examining genetic interactions between known spindle disassembly genes, I identified components of the Hog (High Osmolarity Glycerol response) pathway, and found that three genes in this pathway, SHO1,PBS2, and HOG1, are necessary for proper localization of She1 to the anaphase spindle. Hog pathway mutants exhibited spindle disassembly defects, as well as mislocalization of the NoCut checkpoint proteins Boi1 and Boi2 from the bud neck. Moreover, Boi2, but not Boi1, plays a role in spindle disassembly that places it in a pathway with Sho1, Pbs2, and Hog1. A non-classical nuclear localization signal, the importin Nmd5, and exportin Crm1/Xpo1 - all necessary for Hog1 trafficking - are also necessary for proper She1 localization to the spindle and bud neck. Together, my data suggest a process by which cells monitor events at the spindle and bud neck, and describe a novel role for Hog pathway signaling in mitosis. I also studied mechanisms by which spindle microtubules attach to kinetochores. I generated two new alleles of NDC80, a component of the essential Ndc80 complex, which tethers the outer kinetochore to spindle microtubules and participates in chromosome segregation. Deletions of an internal loop within the coiled-coil region of Ndc80 render cells temperature sensitive and unable to make stable microtubule-kinetochore attachments, resulting in metaphase arrest and DNA mis-segregation phenotypes. These alleles have been useful in helping us understand the required geometry of proteins in the outer kinetochore, and how protein-protein interactions promote the stable microtubule-kinetochore attachments necessary for high-fidelity chromosome segregation.
Grape pomace in sheep and dairy cows feeding.

The grape is one of the most valued conventional fruits worldwide and winemaking is a large industry in many regions of Romania and all over the world. The major waste form wineries are pomace and marc. Even tremendous quantities results each year few studies on the feeding value of grape pomace have been conducted, because has a high fiber content and lower feed value than other fruit-wine pomaces. The objectives of this study was to examine the effects of grape pomace on milk yield and milk composition in dairy cattle and the evolution of weight gain and body mass in Tsigai lambs at the end of the 90 days of fattening. The group of lambs that had the highest body weight was L1 (28.37 kg), to which was experimentally administered 100 g/day grape pomace (GP). Addition of grape pomace resulted in a very small increase in milk yield in dairy cows. The viticulture grape pomace can be recycled to add value to ruminants feed rations, otherwise being a wasted product.
Production and Characterization of Phytase from Streptomyces luteogriseus R10 Isolated from Decaying Wood Samples

Microorganisms are the richest source of phytase which catalyze hydrolysis of phytate to myo-inositol and phosphate. 50 Actinomycete isolates were isolated from heated soil, sand, wastewater, animal faces and some plant ecological wastes on Starch nitrate agar containing 15 µg / mL of antibiotics (Tetracycline + Amphotericin B, w/w). Out of 50 Actinomycetes isolates, 20 isolates (40%) produced extracellular phytase enzyme on solid medium containing wheat bran as carbon source. In liquid medium, the phytase activity was measured as U/mL and the most active isolate in phytase production was R10. Using morphological, physiological and biochemical studies, it was identified as Streptomyces sp. Using 16S rDNA analysis, it was identified as S. luteogriseus R10. Growth in medium containing 1% Na-phytate (pH 6.5) at 40°C for 7days increased phytase production. The maximum phytase activity was achieved using wheat bran, straw, rice husk and hay after seven days of incubation at 40°C but low activity was obtained using Sawyer and baggage as a carbon source. The molecular weight of the purified phytase is 65 kDa and it exhibits optimum activity at pH 5 and 45°C. All tested metal ions at 10 mM enhanced phytase activity except Ba 2+ , Co 2+ , Cu 2+ , Ag, Fe 3+ and Hg 2+ . Improvement of phytase production was carried out using protoplast fusion between S. luteogriseus R10 and S. niveus MM1. Fusant F7 was the best phytase producer (3 time higher) compared to its parents. © 2015 Friends Science Publishers
Empowering Architects and Designers: A Classification of What Functions to Accelerate in Storage

Storage acceleration is a topic of widespread study and innovation. We seek fundamental understanding of 1) what computations to offload to benefit application performance and scalability and 2) how the properties of such computations shape offloading benefits. Using raw-data analysis as an exemplar, we study acceleration benefits using SparkSQL operating in a cloud data center, analyzing where and how speedup and scalability are improved. From this base, we analyze 14 function offload candidates drawn from 17 research studies to create a classification to help the application or hardware system designer. We analyze from the perspective of feasible acceleration, network data reduction, and software change - for application and system software. These studies identify functions that are clear wins and should be the target of early “com-putational storage”, those that give clear benefit, but face software challenges to support, and finally those that are less compelling.
GUIDELINES TO THE USE OF WILD BIRDS IN RESEARCH

Note for ornithologists who plan to use drones or model aircraft to study or monitor birds in the United States: The Airborne Hunting Act may prohibit the use of drones to study or monitor wildlife in the United States, except for state and federal agency personnel or their agents (i.e., someone who is working under contract to or in collaboration with state or federal agencies) or under a permit issued by one of those agencies. However, the USFWS will not issue such permits and only four states allow the use of drones for research. The Ornithological Council has asked the Office of the Solicitor of the Department of the Interior to determine if the use of SUA to study wildlife is subject to the AHA. Anticipating that the Solicitor will determine that the AHA does apply, The Ornithological Council has also filed a petition for rulemaking asking the USFWS to issue permits. Read more on this situation on OrnithologyExchange.org.
Achieving power efficiency in hardware circuits with symbolic discrete control

The power efficiency of hardware circuits is of paramount importance for constructing embedded electronic devices, as it is one of the major design constraints in today’s embedded systems, limiting performance, battery life, etc. This thesis targets the power efficiency in hardware circuits with symbolic discrete control. In the research proposed in this thesis, we consider hardware circuits, described using the popular Hardware-DescriptionLanguage (HDL), Verilog, at the Register-transfer Level (RTL) abstraction, as hierarchical compositions of sub-circuits. We achieve power-efficiency by switching-off the clock of each sub-circuit according to some clock-gating logic, where the technique applied is known as RTL clock-gating, which is one of the best low-power technique applied on synchronous hardware circuits. We advance the following approaches in order to produce a clock-gating logic: to switchoff the clock signal of a sub-circuit in the idle status, which is a set of values of the circuit signals when the values of the memory components do not change; to apply power-aware scheduling policies for data-flow hardware circuits implemented as Kahn-Process-Networks (KPNs), using the clock-gating logic as used to selectively filter the clocks of the sub-circuits involved; and to employ an energy-efficient configuration manager for choosing the optimal configuration, by means of the clock-gating logic, among the alternatives on data-flow hardware circuits implemented as KPN, with parallel synchronous processes. We devise a tool-supported framework for achieving power-efficiency of hardware circuits for each approach. Our approaches rely on formal control techniques, where the goal is to compute a strategy that can be used to drive a given model so that it satisfies a set of control objectives. More specifically, we give an algorithm that derives abstract behavioral models directly in a symbolic form from original designs, and for formulating suitable constraints and objectives. We encode the computation of the latter as several small symbolic Discrete-ControllerSynthesis (DCS) problems, and use the resulting controllers to derive power-efficient versions from original circuit designs. Finally, we show how a resulting strategy can be translated into a piece of synchronous circuit that, when paired with the original design, ensures the aforementioned objectives. We detail and illustrate our approaches using various hardware designs and objectives, and validate them experimentally by deriving a low-power version of the original hardware designs.
YIELD QUALITY OF MELON (Cucumis melo L.) DEPENDING ON FOLIAR FEEDING

Foliar feeding of plants is an important supplementation of soil fertilization in vegetable cultivation. Foliar-fertilized plants deliver high yields of good quality at lower rates of mineral fertilization. In horticultural practice foliar fertilization is also recom- mended as the most effective method of supplying plants with nutrients under deficiency conditions. An experiment was established to evaluate an effect of foliar application with Florovit and combination Ekolist-Warzywa+Urea on the yield quality of six large-fruit melon cultivars ('Pacstart', 'Yupi', 'Gattopardo', 'Polydor II', 'Seledyn', 'Legend') culti- vated in the climatic conditions of central-eastern Poland. The total yield was achieved from Florovit and Ekolist-fertilized plants did not differ significantly. A higher total yield was achieved from Florovit-fertilized plants compared with control object. 'Yupi' was characterised by higher total yields compared with the other cultivars. The greatest fruit number per 1 m 2 was set by 'Gattopardo'. On the basis of the results obtained it was found that, due to the highest share of marketable fruit, 'Yupi' is the cultivar recom- mended for cultivation under the growing conditions of central-eastern Poland. 'Seledyn' was gave at least unripe fruit whereas 'Pacstart' produced the lowest share of disease- affected fruit. An application of the foliar fertilizers reduced the total sugar and monosac- charides content in melon fruit. Regardless of the kind of foliar feeding, most dry matter in the fruit was produced by 'Pacstart', total sugar and monosaccharides by 'Yupi' and ascorbic acid by 'Legend'.
Effect of Microwave Assisted Water Extraction on Insoluble Phenolic Compounds through Bioactivity of Fagopyrum esculentum

Fagopyrum esculentum (Buckwheat) is a globally used alternative crop that contains several useful substances with various effects; however, many of these substances (rutin, quercetin, etc.) are water insoluble. To extract these substances, alcohols is required, which is inconvenient because these solvents cause diverse problems. Many studies are underway to achieve effective extraction of these substances with water. Among of these studies, microwave assisted water extraction (MAE) has been performed extensively. In this study, we performed the extraction in various solvents and/or microwave from Fagopyrum esculentum. The analysis of the content of useful substances and the bioactivity were performed and shown to increase in MAE. Liquid chromatography-mass was performed in order to identify of the useful water-insoluble substances. Catechin, quercetin, and rutin, which are all insoluble in water, were hardly extracted with water even on heating (4.4 ppb, 3.9 ppb and 60.3 ppb, respectively). However, MAE was found to extract much more of these substances than water (1204 ppb, 110.8 ppb and 2946 ppb, respectively). Although less efficient than alcohols, MAE showed much higher efficiency than simple water extraction. These results indicate that water extraction using microwave technology is effective in cases where it is difficult to extract useful substances using water.
English-to-Japanese Diverse Translation by Combining Forward and Backward Outputs

We introduce our TMU system that is submitted to The 4th Workshop on Neural Generation and Translation (WNGT2020) to English-to-Japanese (En→Ja) track on Simultaneous Translation And Paraphrase for Language Education (STAPLE) shared task. In most cases machine translation systems generate a single output from the input sentence, however, in order to assist language learners in their journey with better and more diverse feedback, it is helpful to create a machine translation system that is able to produce diverse translations of each input sentence. However, creating such systems would require complex modifications in a model to ensure the diversity of outputs. In this paper, we investigated if it is possible to create such systems in a simple way and whether it can produce desired diverse outputs. In particular, we combined the outputs from forward and backward neural translation models (NMT). Our system achieved third place in En→Ja track, despite adopting only a simple approach.
Modelling and Control of Wind-PV Based Hybrid Power System Considering Hybrid Energy Storage System Incorporating Battery and Supercapacitor

In this paper a control strategy is proposed for the control of battery-supercapacitor based hybrid energy storage system applied to wind-PV based hybrid renewable energy system. The hybrid combination of battery-supercapacitor provide complement solution for high power and higher energy storage system and thereby covering wide range of applications. The controller is designed based on the variations in the DC link voltage and these variations are suppressed using controller. The proposed controller is tested under two modes of operations: surplus power mode and deficit power mode. The power imbalance between supply and demand is minimized using hybrid energy storage system where low frequency components are absorbed by battery and high frequency components are tackeld by supercapacitor. The results show that the proposed control strategy worked satisfactorily for both the case. The results are verified in MATLB/Simulink environment. this paper : Azhar Lateef and Control of Wind-PV Based Hybrid Power System Hybrid Energy System
Prospective Study Evaluating a Pain Assessment Tool in a Postoperative Environment: Protocol for Algorithm Testing and Enhancement

Background Assessment of pain is critical to its optimal treatment. There is a high demand for accurate objective pain assessment for effectively optimizing pain management interventions. However, pain is a multivalent, dynamic, and ambiguous phenomenon that is difficult to quantify, particularly when the patient’s ability to communicate is limited. The criterion standard of pain intensity assessment is self-reporting. However, this unidimensional model is disparaged for its oversimplification and limited applicability in several vulnerable patient populations. Researchers have attempted to develop objective pain assessment tools through analysis of physiological pain indicators, such as electrocardiography, electromyography, photoplethysmography, and electrodermal activity. However, pain assessment by using only these signals can be unreliable, as various other factors alter these vital signs and the adaptation of vital signs to pain stimulation varies from person to person. Objective pain assessment using behavioral signs such as facial expressions has recently gained attention. Objective Our objective is to further the development and research of a pain assessment tool for use with patients who are likely experiencing mild to moderate pain. We will collect observational data through wearable technologies, measuring facial electromyography, electrocardiography, photoplethysmography, and electrodermal activity. Methods This protocol focuses on the second phase of a larger study of multimodal signal acquisition through facial muscle electrical activity, cardiac electrical activity, and electrodermal activity as indicators of pain and for building predictive models. We used state-of-the-art standard sensors to measure bioelectrical electromyographic signals and changes in heart rate, respiratory rate, and oxygen saturation. Based on the results, we further developed the pain assessment tool and reconstituted it with modern wearable sensors, devices, and algorithms. In this second phase, we will test the smart pain assessment tool in communicative patients after elective surgery in the recovery room. Results Our human research protections application for institutional review board review was approved for this part of the study. We expect to have the pain assessment tool developed and available for further research in early 2021. Preliminary results will be ready for publication during fall 2020. Conclusions This study will help to further the development of and research on an objective pain assessment tool for monitoring patients likely experiencing mild to moderate pain. International Registered Report Identifier (IRRID) DERR1-10.2196/17783
The market’s reaction to changes in relative performance rankings

The media commonly gauges a firm’s performance by comparing its performance to others within the same industry. We provide evidence that investors and analysts positively value improvements to the firm’s relative performance ranking (RPR) within its industry. Consistently, RPR is positively associated with the firm’s earnings persistence, which suggests that RPR provides information about the firm’s ability to capture profits within the industry. We also find that managers use non-GAAP exclusions from earnings to improve the appearance of the firm’s RPR and that not all the information found in the firm’s performance ranking is priced by investors at the time of the earnings announcement. This evidence suggests that investors and analysts use the entire distribution of earnings to evaluate a firm’s performance, allowing us to identify an alternative benchmark not previously explored.
Genetic Programming for Image Compression

Genetic Programming is used to evolve expressions that compactly represent target images. More specifically, we develop a method for creating images by evaluating program expressions consisting of various functions and operations. Applying genetic programming to these program expressions, which serve as “image genomes,” our genetic algo-rithm can evolve image representations that closely match given target input images. The evolved image representations form compressed, lossy representations of the original target images.