Miracle-dz/UniFAR-FTUs huggingface dataset:
Whole sales market for fresh potatoes in Finland

Tutkimuksen tavoitteena oli lisata tietoa Suomen ruokaperunamarkkinoista, edesauttaa markkinoiden toimivuutta ja parantaa markkinaosapuolten, etenkin ruokaperunantuottajien, kilpailuasemaa. Tutkimuksessa estimoitiin samanaikaisesti tuottajahintojen ehdollinen keskiarvo ja ehdollinen varianssi.Tutkimustulosten mukaan nykyinen ja kaksi viikkoa sitten toteutunut hinta selittavat tulevaa hintaa. Tata vanhemmat hinnat eivat lisaa markkinatietoa. Tehokkailla markkinoilla myos tieto varastomaarista sisaltyy hintoihin. Ruokaperunan hinnan todettiin olevan erittain joustavaa kokonaissadon suhteen. Kokonaissadon kasvu 10 prosentilla laskee ruokaperunan hintaa 20 prosenttia. Kokonaissadon muutokset valittyvat tuottajahintoihin kahden ensimmaisen toteutuneen hinnan kautta. Hintashokit ovat symmetrisia, mika tarkoittaa sita, etta hinnat muuttuvat yhta joustavasti tarjonnan vahvistuessa ja heikentyessa. Tulosten perusteella kauppa ei nayta kayttavan markkina-asemaansa vaarin perunan hinnoittelussa. Hintashokit ovat pysyvia, joten hintojen yllattaen laskiessa tai noustessa, ne eivat todennakoisesti enaa palaa ennalleen saman varastointikauden aikana. Perunamarkkinoiden toimivuutta voitaisiin parantaa johdannaiskaupan, laajemman sopimustuotannon ja aktiivisemman tuottajien jarjestaytymisen avulla. Suurin riski perunantuottajalle perunan hinnan joustavuuden takia on poikkeuksellisen suuri perunan kokonaissato. Siksi perunantuottajien tulisi suojautua hintariskeilta jo kevaalla ennen perunan istutusta. Sadonkorjuun jalkeisilla toimenpiteilla ei hintariskeihin voida enaa vaikuttaa.
Experimental protocol for the dynamic modeling of machining robots

The adoption of robots for machining operations is now a growing need in manufacturing industries. To improve the quality and accuracy of robotic machining, it is necessary to reduce the vibrations caused by the flexibility of the robotic structure. The knowledge of its dynamic behavior is thus essential. An experimental modal analysis of a poly-articulated robot with six degrees of freedom is performed to extract its modal parameters: natural frequencies, modal damping ratios, and mode shapes. The robot under study is an ABB IRB 6660 robot equipped with a spindle. In this paper, an experimental protocol describes the different stages of experiments conducted using an impact hammer as a source of structure excitation. The influence of changes in the robot’s configuration and the spindle orientation on the vibration modes is examined. The experimental results are discussed, and the identification of modal parameters enables a simulation of the vibration of the machining robot, providing a first dynamic model. Mots clefs : Analyse modale expérimentale, Robot, Usinage, Vibration, Dynamique
EEMD-Based cICA method for single-channel signal separation and fault feature extraction of gearbox

This paper proposes a novel fault feature extraction method with the aim of extracting the fault feature submerged in the single-channel observation signal. The proposed method integrates the strengths of the constrained independent component analysis (cICA) extracting only the signals of interest (SOIs) with the advantage of ensemble empirical mode decomposition (EEMD) alleviating the mode mixing. The method, which is named EEMD-based cICA, not only enables gear fault feature extraction but also offers a new independent component analysis (ICA) mixing model with source noise and measured noise for the single-channel observation signal. The efficiency of the proposed method is tested on simulated as well as real-world vibration signals acquired from a multi-stage gearbox with a missing tooth and a chipped tooth, respectively.
Nonlinear Processes in Geophysics Topological complexity of frictional interfaces : friction networks

Through research conducted in this study, a network approach to the correlation patterns of void spaces in rough fractures (crack type II) was developed. We characterized friction networks with several networks characteristics. The correlation among network properties with the fracture permeability is the result of friction networks. The revealed hubs in the complex aperture networks confirmed the importance of highly correlated groups to conduct the highlighted features of the dynamical aperture field. We found that there is a universal power law between the nodes’ degree and motifs frequency (for triangles it reads T (k) ∝ k(β ≈ 2± 0.3)). The investigation of localization effects on eigenvectors shows a remarkable difference in parallel and perpendicular aperture patches. Furthermore, we estimate the rate of stored energy in asperities so that we found that the rate of radiated energy is higher in parallel friction networks than it is in transverse directions. The final part of our research highlights 4 point sub-graph distribution and its correlation with fluid flow. For shear rupture, we observed a similar trend in sub-graph distribution, resulting from parallel and transversal aperture profiles (a superfamily phenomenon).
Errors in Surgical Pathology Laboratory

Pathology must aim at a correct and complete diagnosis for the patient, which is timely, useful, and understandable to the physician assistant. However, in daily practice, there are multiple possibilities of errors in the pathology laboratory, with several impacts on patient care and prognosis. In this chapter, we discuss the different concepts of error and diagnostic concordances in pathology, at which point in the diagnostic process the errors are more frequent, and propose solutions to minimize the chance of their occurrence.
Silk fibroin-reinforced hydrogels for growth factor delivery and in vitro cell culture

Bragg, John Campbell M.S.B.M. E. , Purdue University, December 2016. Silk FibroinReinforced Hydrogels for Growth Factor Delivery and In Vitro Cell Culture. Major Professor: Chien-Chi Lin. A variety of polymers of synthetic origins (e.g., poly(ethylene glycol) or PEG) and naturally derived macromolecules (e.g., silk fibroin or gelatin) have been explored as the backbone materials for hydrogel crosslinking. Purely synthetic hydrogels are usually inert, covalently crosslinked, and have limited degradability unless degradable macromers are synthesized and incorporated into the hydrogel network. Conversely, naturally derived macromers often contain bioactive motifs that can provide biomimicry to the resulting hydrogels. However, hydrogels fabricated from a single macromer often have limitations inherent to the macromer itself. For example, to obtain high modulus PEG-based hydrogels requires an increase in macromer and crosslinker content. This is associated with an increase in radical concentration during polymerization which may cause death of encapsulated cells. Pure gelatin (G) hydrogels have weak mechanical properties and gelatin undergoes thermo-reversible physical gelation. Covalent crosslinking is usually necessary to produce stable gelatin hydrogels, particularly at physiological temperatures. The limitations of these hydrogels may be circumvented by combining them with another macromer (e.g., silk fibroin) to form hybrid hydrogels. Silk fibroin (SF) from Bombyx mori silkworms offers high mechanical strength, slow enzymatic degradability, and can easily form physical hydrogels. The first objective of this thesis was to evaluate the effect of sonication and the presence of synthetic polymer (e.g, poly (ethylene glycol) diacrylate or PEGDA) or natural macromer (e.g., gelatin) on SF physical gelation kinetics. SF physical gelation was assessed qualitatively via tilt tests. Gelation of pure SF solutions was compared
Origin of Great Lakes Brown Trout, Salmo trutta : A Phylogeographic Analysis Using mtDNA Sequence Variation

The brown trout, Salmo trutta, was first introduced to the Laurentian Great Lakes in 1887 from European broodstocks to found a recreational salmonid fishery; however, the origins of these progenitor lineages remain largely unknown. Trout from these regions are very specialized to their native habitats and matching North American stocks to similar watersheds may help increase survivability by introducing the stock to a more appropriate environment. The objective of this study was to determine the European origins of brown trout found in the Great Lakes. We analyzed 144 brown trout from ten watersheds across Michigan and Wisconsin and identified their strain assignment according to the MIDNR classification using their mtDNA ND-1 sequences. European progenitor lineages occurring within these strain assignments were then identified using the first 309 base pairs of the mtDNA control region. Nine ND-1 haplotypes were found in the four most recently stocked strains. A total of four different European lineages were identified by 5 SNPs in the mtDNA control region in the 144 brown trout samples. One unique control region haplotype which has not been described was observed and a phylogeny was constructed with known sequences. We found that the Sturgeon River strain largely shares the same progenitor lineage as Gilchrist Creek. Fishery managers can use this information to make informed decisions about stocking watersheds where certain strains might prosper or to choose to not stock strains due to poor performance and great dissimilarity between North American watersheds and the European progenitor’s native watershed. v vi TABLE OF CONTENTS LIST OF TABLES vii LIST OF FIGURES viii CHAPTER
Combining a genetic algorithm and simulated annealing to design a fixed-order mixed H 2 /H ∞ deconvolution filter with missing observations

We introduce a new combination approach to a fixed-order mixed H2/H∞ deconvolution filter with missing observations. The missing observations model is based on a probabilistic structure with the probability of the occurrence of missing data modeled as the unknown prior. The aim of the mixed H2/H∞ criterion is to achieve H2 optimal reconstruction and subject the H∞ norm constraint to the transfer function from the channel input to the filter error. For simplicity of implementation, the fixed-order model is interesting for engineers in signal processing and in practical applications. In this situation, the deconvolution filter design becomes a complicated nonlinear estimation problem. In this paper, we combine a genetic algorithm (GA) and simulated annealing (SA) to treat the signal reconstruction problem with missing observations. Finally, a numerical example is presented to illustrate the design procedure and confirm the robustness performance of the proposed method.
Peer Pressure and Job Market Signaling1

Although the debilitating consequences of peer pressure are well-documented and carry a strong intuition when applied to investment in education, it is not evident how such pressures might arise or be sustained in any sort of rational choice setting. This paper develops a multiperiod model of endogenous peer pressure and education in an effort to illuminate these issues. The model involves an individual whose productive ability (type) is private information. The key idea is that individuals face a tension between signaling their type to the outside labour market and signaling their type to a peer group: signals that induce high wages can be signals that induce peer rejection. The main results are that there exist no equilibria in which all types of individual adopt distinct educational investment levels; that, when individuals are not too patient, all equilibria satisfying a standard reÞnement involve a binary partition of the type space in which all types accepted by the group pool on a common low education and all types rejected by the group separate at distinctly higher levels of education with correspondingly higher wages; and that when individuals are very patient, there is an increase in the variation of education levels within the group and an increase in the variance of types deemed acceptable by the group. Thus, the more those involved discount the future, the more acute peer pressure becomes and the more homogenous groups become. At the social level, peer groups discourage their members from putting forth the time and effort required to do well in school and from adopting the attitudes and standard practices that enhance academic success. Peer group pressures against academic striving take many forms, including . exclusion from peer activities or ostracism, . Individuals resist striving to do well academically partly out of fear of peer responses and partly to avoid affective dissonance (Fordham and Ogbu, 1986:183).
Stock Markets Using Web Media Content

Stock market volatility is influenced by information release, dissemination, and public acceptance. With the increasing volume and speed of social media, the effects of Web information on stock markets are becoming increasingly salient. However, studies of the effects of Web media on stock markets lack both depth and breadth due to the challenges in automatically acquiring and analyzing massive amounts of relevant information. In this study, we systematically reviewed 23 research articles on quantifying the interplay between Web media and stock markets from the fields of Finance, Management Information Systems, and Computer Science. In particular, we first categorized the representative works in terms of media type and then summarized the core techniques for converting textual information into machine-friendly forms. Finally, we compared the analysis models used to capture the hidden relationships between Web media and stock movements. Our goal is to clarify current cutting-edge research and its possible future directions to fully understand the mechanisms of Web information percolation and its impact on stock markets from the perspectives of investors cognitive behaviors, corporate governance, and stock market regulation. Keywords-stock market, dissemination, web media, management information system, corporate governance.
Teoriden Uygulamaya Argümantaston Tabanlı Bilim Öğrenme (ATBÖ) Yaklaşımı: Kimya Laboratuvarlarında Uygulama Örneği

Bu calismanin amaci, Argumantasyon Tabanli Bilim Ogrenme yaklasimini (ATBO) teorik olarak aciklamak, yazili ve sozlu argumanlarin nasil gerceklestigini ornek bir uygulama uzerinden gostermeye calismaktadir. Bu baglamda, fen ogrenmede bilimsel bilginin olusturulmasi surecinde, dilin etkin bir sekilde nasil kullanildigi, yazili ve sozlu argumantasyonlarin nasil olusturuldugu, ogrenme ortamlarinin bunlara nasil bir katki sagladigi, genel kimya laboratuvalarinda kimyasal denge konusu ornek olarak ele alinmis, bu yontemin arguman fazi detayli bir sekilde aciklanmaya calisilmistir. Yapilan ornek aciklamalar neticesinde, bu yontemi uygulamak isteyen arastirmaci ve ogretmenlere cesitli onerilerde bulunulmustur.
Distances and Small Business Credit Constraints: The French case

Deregulation and progress in information and communication technologies have increased the geographical expansion of banking structures and instruments. This makes banks operationally close to the borrowers. At the same time, banking industry consolidation have induced a geographical concentration of banking decision centers and strategic functions, leading to an increase of the functional distance that separates the decision center of a bank from its operational branches. The aim of this paper is to evaluate the impact of these two trends on small and medium-sized enterprise (SME) lending. Our findings on French data suggest that (i) increased functional distance induces an increase of the investment cash flow sensitivity considered as a measure of financing constraints and that (ii) the relationship between operational proximity and financing constraints is non linear with an investment-cash flow relationship supposed to be increasing for low levels of operational proximity below a certain threshold and decreasing for high levels of it. The adverse effect of functional distance on financing constraints is particularly acute for small firms.
Where Are The Genes Missing From Prokaryotic Genomes

Copyright: © 2015 Brocchieri L. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Despite the remarkable achievements of modern computational methods in predicting prokaryotic genes, evolutionary conservation and other analyses suggest that a significant number of genes are missing from published genome annotations [1-3]. Particularly in genomes of high GC content, the presence of coding regions missing from annotations can often be identified simply and reliably by graphically matching annotated coding regions to appropriately visualized compositional properties of the genome sequence, with the method of “frame analysis” [4]. With this method the GC content of the sequence is measured within a moving window (say, about 200 nt wide) in three subsequences, each composed of every third nucleotide, and starting, respectively, at the first, second, or third position of the genome sequence. The GC contents of the three subsequences are plotted along the genome generating three “curves” called “S-profiles” [5]. Whenever a coding region is traversed, each of the three subsequences will be superimposed to first, second, or third positions of the codons, depending on the coding strand and phase of the gene. Thus, each S-profile will represent the GC content of one of the three codon positions of the gene. Since in coding regions of high GC content the three codon positions have very different GC content, very high in third and relatively low in second codon positions (Figure 1), this will reflect in characteristic contrasts between S-profiles, visually corresponding to characteristic “bubbles”, informative of the presence, phase, and coding strand of the underlying gene (Figure 2). When annotated genes are matched to the S-profiles, missed genes will become obvious, as unmatched bubbles. To facilitate using frame analysis on a genomic scale and extend its usage to sequences of any composition, we recently developed a method for quantifying and generalizing the information provided by frame analysis [3], and implemented these methods in the N-Profile Analysis Computational Tool (NPACT), available at http://genome.ufl. edu/npact/, which identifies sequence regions with significant 3-base periodicity (“Hits”) corresponding to S-profile bubbles, looks for associated open reading frames (ORFs), compares them to genome annotations, and displays missing ORFs and corresponding hits together with S-profiles and pre-annotated genes.
Extension of break-even analysis for payment default prediction: evidence from small firms

Break-even analysis (BEA) is widely used as a management method to analyze the relationship between the sales volume and the profit of the firm. In this paper BEA is extended and applied for payment default prediction. First, breakeven point is defined as the point, firstly, at which the net profit is zero and, secondly, at which the loss makes the equity critical. Second, the margins of safety (MOSs) are derived for both the sales volume and the cost of debt. Three hypotheses for prediction ability of MOSs are drawn. MOSs are used as predictors of payment default in a logistic regression model (LRM) in a sample of Finnish small firms. It was found that MOS for net sales drawn for the critical equity target is a very powerful predictor of payment default. The prediction ability of traditional financial ratios and also of familiar non-financial predictors was outperformed by the margin.
Developing economic and managerial competencies of bachelors in mechanical engineering

The paper deals with the development problems of economic and managerial competencies of bachelors after graduating from engineering higher schools to meet employers’ requirements, through implementing the Federal State Education Standards (FSES) of the third generation. The case study is conducted on the basis of training programs for the bachelor’s degree in Mechanical Engineering at Yurga Institute of Technology (Affiliate) of National Research Tomsk Polytechnic University. The list of economic and managerial competencies for bachelors in mechanical engineering is specified according to the third generation FSES, enlarged with new competences based on surveys and analyses after questioning employers. The criteria and indicators are described to identify maturity levels in terms of economic and managerial competencies for bachelors. A structural and functional model for training mechanical engineering bachelors has been tested in the implementation of the bachelor’s degree courses in "Mechanical engineering" at Yurga Institute of Technology (Affiliate) of National Research Tomsk Polytechnic University, in the period from 2011 to 2015.
Making vast existing data resources available for genomic imprinting analyses

University of Rostock, Faculty of Agricultural and Environmental Sciences, Justus-vonLiebig-Weg 6, 18059 Rostock, Germany 2 Leibniz Institute for Farm Animal Biology (FBN), Institute for Genetics and Biometry, Wilhelm-Stahl-Allee 2, Dummerstorf 18196, Germany 3 State-Office for Geo-information and Rural Development Baden-Wuerttemberg, GeodataCenter, Stuttgarter Straße 161, Kornwestheim 70806, Germany reinsch@fbn-dummerstorf.de
Asymmetric Synthesis of Spiro Tetrahydrothiophene-indan-1,3-diones via a Squaramide-Catalyzed Sulfa-Michael/Aldol Domino Reaction

Abstract A new asymmetric domino sulfa-Michael/aldol reaction of 2-arylidene-1,3-indandiones with 1,4-dithiane-2,5-diol catalyzed by a sub-mol% loading of a squaramide provides a direct access to tetrahydrothiophene bearing spiro indane-1,3-dione derivatives in excellent yields and good stereoselectivities.
Chemometrics - Assisted UV Spectrophotometric Method for Determination of Ciprofloxacin and Ornidazole in Pharmaceutical Formulation

This presented work is based on application of two multivariate calibration methods for simultaneous UV-Vis spectrophotometric determination of active substances in combined pharmaceutical formulation composed of Ciprofloxacin (CPX) and Ornidazole (ONZ). The methods used were Principal Component Regression (PCR) and Partial Least Square (PLS). The Spectra of both CPX and ONZ were recorded at concentrations within their linear ranges 2.0-12.0 μg/ml. 27 set of mixtures were used for calibration and 9 set of mixtures were used for validation in the wavelength range of 267 to 330 nm with the wavelengths intervals λ= 0.5 nm in methanol. International Conference on HarmonizationQ2 (R1) (ICH) guidelines were followed to validate the methods. Recovery study results indicate no interference of the excipients, thus methods were successfully applied for determination of drugs in pharmaceutical formulation. The methods can be used as alternative analytical tool in the quality control of these drugs.
A Comparative Study on FIR Filters for Reconfigurable Applications

Reconfigurability and low complexity are the two key requirements for finite impulse response (FIR) filters employed in multi standard wireless communication systems. In this article, a comparative study of various adaptive filter architectures, which includes BCSE architecture, constant shift method, programmable shift method, multiple constant method, DA based method are presented. This paper aims at study on efficient adaptive filter architecture in terms of area, EPS (energy per sample) and power. By comparing various methods it is observed that MCM structure involves significantly less area delay product and less energy per sample than the existing block implementation methods of direct- form structure for medium or large filter lengths. The MCM structure involves 14% less ADP and 13% less EPS than that of the existing direct- form block FIR structure.