Miracle-dz/UniFAR-FTUs huggingface dataset:
INFRASTRUCTURAL AND MOLECULAR INVESTIGATION OF PARTICULAR ASPECTS IN THE EVOLUTION OF BREAST CANCER

Electron microscopic investigations of invasive mammary carcinoma tumors revealed that intercellular junctions, namely desmosomes are severely altered; some desmosomes became internalized. Tumor cells, especially by their invadopodia, generate and disseminate membrane vesicles, including exosomes, inside of peritumoral stroma. Telocytes, a new described interstitial/stromal cell phenotype, considered to play important roles in cell signaling, exhibited a reduced number of hetero-cellular contacts, which suggests a possible perturbation of tissular homeostasis modulation. Signaling PIK3/Akt pathway plays an important role both in carcinogenesis and in proliferation, differentiation, and cell survival. Alteration of this pathway has been observed in many human cancers, often involving an increase in the activity of PIK3CA, p110α catalytic subunit of PI3K. Our study confirms the high prevalence of PIK3CA mutations in breast cancer. In accordance with the results of the largest previous studies, 87.5% of mutations detected by DNA direct sequencing were hot spot mutations, most of them located in the kinase domain. High percentage of mutations detected by high-resolution melting makes the assay an attractive choice for mutation scanning, especially, in samples with low percentage of tumor cell.
MediaEval 2019 Emotion and Theme Recognition task: A VQ-VAE Based Approach

In this paper, we, Taiinn (Taiwan) team, use pre-trained VQ-VAE as a feature extractor and compare two types of classifier for audio-based emotion and theme recognition. The VQ-VAE is pre-trained on the Million Song Dataset (MSD). We found better performance in ROC-AUC by fixing the pre-trained parameters of VQ-VAE while training the classifier. In addition, an embedding with bigger shape works better than the one-dimensional counterpart. The code and submitted models can be found at: https://github.com/annahung31/ moodtheme-tagging.
Cross-TissueRegulatory G eneNetworks in Coronary Artery Disease Graphical Abstract Highlights

Citation for published version: Talukdar, HA, Asl, HF, Jain, RK, Ermel, R, Ruusalepp, A, Franzén, O, Kidd, BA, Readhead, B, Giannarelli, C, Kovacic, JC, Ivert, T, Dudley, JT, Civelek, M, Lusis, AJ, Schadt, EE, Skogsberg, J, Michoel, T & Björkegren, JLM 2016, 'Cross-Tissue Regulatory Gene Networks in Coronary Artery Disease', Cell Systems, vol. 2, no. 3, pp. 196-208. https://doi.org/10.1016/j.cels. 2016.02. 002
A Door to Opportunity? Comparing Program Design and Outcomes of Three Residential Mobility Policies in the U.S

This article examines the Gautreaux, Moving to Opportunity (MTO), and Gautreaux II housing mobility programs to answer the question, “Why did seemingly similar programs have different results? ” While the original Gautreaux program resulted in improved education and employment outcomes for participants, MTO resulted in null findings, which have likewise been found or are predicted for Gautreaux II. This study uses a framework of “neighborhood treatments” and retention of treatments to investigate this discrepancy. I find that background conditions, such as the supply and location of affordable housing, barriers to searching for units, and discrimination to participants, resulted in weaker neighborhood “treatments” and retention of treatments in the MTO and Gautreaux II programs than in the original Gautreaux program. The article also finds that the Gautreaux uniquely took extensive measures through its program design to intervene in these background conditions. As such, the article concludes that MTO and Gautreaux II cannot be seen as genuine tests of neighborhood effects and that further testing of these effects is needed.
Research on Project-Driven Teaching Model of Terminology Translation

: In the age of artificial intelligence, the language service industry has entered a completely new era with greatly changed translation model. Neural machine translation (also known as AI translation) is increasingly used in the translating process by professionals and students. Although AI translation quality has been greatly improved, mistakes still exist when it comes to terminology translation. In this paper, we probe into terminology translation teaching from the perspective of translation technology, especially AI translation, and put forward a project-driven teaching model of terminology translation with a detailed discussion of project tools and project procedures. It’s found that students need to enhance terminological competence, technological competence and cultural awareness, and suggestions are given in these aspects.
Hints for Genetic and Clinical Differentiation of Adult-Onset Monogenic Autoinflammatory Diseases

Monogenic autoinflammatory diseases (mAIDs) are inherited errors of innate immunity characterized by systemic inflammation recurring with variable frequency and involving the skin, serosal membranes, synovial membranes, joints, the gastrointestinal tube, and/or the central nervous system, with reactive amyloidosis as a potential severe long-term consequence. Although individually uncommon, all mAIDs set up an emerging chapter of internal medicine: recent findings have modified our knowledge regarding mAID pathophysiology and clarified that protean inflammatory symptoms can be variably associated with periodic fevers, depicting multiple specific conditions which usually start in childhood, such as familial Mediterranean fever, tumor necrosis factor receptor-associated periodic syndrome, cryopyrin-associated periodic syndrome, and mevalonate kinase deficiency. There are no evidence-based studies to establish which potential genotype analysis is the most appropriate in adult patients with clinical phenotypes suggestive of mAIDs. This review discusses genetic and clinical hints for an ideal diagnostic approach to mAIDs in adult patients, as their early identification is essential to prompt effective treatment and improve quality of life, and also highlights the most recent developments in the diagnostic work-up for the most frequent hereditary periodic febrile syndromes worldwide.
Helix Electrohydrodynamic Printing of Highly Aligned Serpentine Micro/Nanofibers

Micro/nano serpentine structures have widespread applications in flexible/stretchable electronics; however, challenges still exist for low-cost, high-efficiency and controllable manufacturing. Helix electrohydrodynamic printing (HE-printing) has been proposed here to realize controllable direct-writing of large area, highly aligned serpentine micro/nanofibers by introducing the rope coiling effect into printing process. By manipulating the flying trajectory and solidification degree of the micro/nano jet, the solidified micro/nanofiber flying in a stabilized helical manner and versatile serpentine structures deposited on a moving collector have been achieved. Systematic experiments and theoretical analysis were conducted to study the transformation behavior and the size changing rules for various deposited microstructures, and highly aligned serpentine microfibers were directly written by controlling the applied voltage, nozzle-to-collector distance and collector velocity. Furthermore, a hyper-stretchable piezoelectric device that can detect stretching, bending and pressure has been successfully fabricated using the printed serpentine micro/nanofibers, demonstrating the potential of HE-printing in stretchable electronics manufacturing.
Evaluation of physiological characteristics as selection criteria for drought tolerance in maize inbred lines and their hybrids

Improvement for maize drought tolerance has always been a significantobjective for breeders and plant physiologists. Nowadays, climate change sets new challenges to major crop adaptation at stressful environments. For such a purpose, the measurement of physiological traits related to maize response to drought might prove to be useful indices. The objective of the present study was to establish whether the physiological traits can be used as reliable physiological markers to evaluate the performance of parental genotypes and their hybrids under both dry and normally watered conditions, and under two densities an ultra-low density (ULD) and a normal dense stand (DS). Thirty (30) maize inbred lines and 30 single-crosses among them were evaluated across three diverse locations in Greece. The ULD was 0.74 plants/m-2, while the DS comprised 4.44 plants m-2 in the water deficitregime, and 6.67 and 7.84 plants m-2 in the normal water treatment for lines and hybrids, respectively. There was a very good association between the physiological characteristics studied and grain yield under the ultra-low density and especially for inbred lines. It was shown that the physiological characteristics can facilitate the selection of stress-adaptive genotypes under the low-density conditions and may permit modern maize to be grown at a wider range of environments. At the normal densities such a possibility was not evidenced since physiological parameters and yield did not correlate for either parents or hybrids
The footprint of land use on the Macaronesian laurel forest landscape: an underestimated driving factor in protected areas

Centuries of exploiting resources on Macaronesian islands left a significant footprint on their landscapes, even in areas where human activity would seem to be virtually absent. To clarify such interference, this paper explored how the impact of land use determined some attributes of current laurel forest landscape. Focused on communities dominated by heath and Morella faya, this work analyzed the effect of land use on their physiognomy and floristic composition, challenging the interpretation as climax communities. Based on a synchronic approach, the collected data supported a dynamic interpretation of such communities, installed on areas disturbed by human activities over long periods in the past. The combination of floristic composition, structure and land-use proxies suggested that such communities should be interpreted as subseral communities. This interpretation led to the idea that human factor should be considered as a critical driving force shaping landscape. Such an approach, promoting an adjustment in the scientific interpretation, assumed that current attributes of such communities were derived from past land-use options and do not represent a single response to abiotic conditions. Without questioning the value of those communities for conservation, that approach pointed out that protection measures should consider the potential occurrence of significant changes in terms of floristic composition and structure at medium term in that type of communities.
The Impact of Macroeconomic News on Chinese Futures

Inspired by the GARCH-MIDAS model, we revisit the relationship between Chinese futures and macroeconomic factors. We introduce the level of the macroeconomic variables into the GARCH-MIDAS model in order to test the impact of the macroeconomic level on the variance of futures’ return volatility. Based on the empirical results, we find the level of macroeconomic variables has a significant impact on the volatility of Chinese futures’ return. The influence of the macroeconomic level factor on the futures’ return volatility is statistically significant.
Kinematic Motion Analysis of the Sit-to-Stand Motion-The Influence of Chair Height 臼田 滋D山 路 雄彦

The purpose of this study was to examine the influence of chair height on sit-to-stand motion of eleven healthy subjects. Trajectories of body segments and joint range of motion were measured by a motion analysis system using chairs of five different heights. With a decrease in chair height, the foot position at the initiation of the motion transferred backward, and a the forward displacement of head and knee was increased with decreasing chair height. The maximum ranges of motion of the trunk and lower limb were significantly increased with decreasing chair height. These results serve to prepare the treatment for movement disorders and to prescribe appropriate assistive devices.
The Impact of Users' Congruity and Emotion on Intention to Game Use

Abstract This study was accomplished to examine the relationship between the videogame player's perceived congruity and intention to game use, and to investigate the mediating effect of emotion as the psychological factor. Games for the research subject are confined to single player games on console or PC not online or mobile games to rule out human interaction. The results proposed that self and functional congruity have positive impact on intention to game use, and emotion is in the mediating effect of these relationships. Based on the results of the analysis, game producers have some implications for the game which is appropriate for the quality, the gamer's image, and the emotional aspect. Key Words : Videogame, Self congruity, Functional congruity, Emotion, Intention to use * 이 논문은 2013년도 한국교통대학교 교내학술연구비의 지원을 받아 수행한 연구임Received 28 August 2014, Revised 29 September 2014Accepted 20 November 2014Corresponding Author: Myeong-Sung Yim(Sahmyook University) Email: msyim@syu.ac. krⒸ The Society of Digital Policy & Management. All rights reserved. This is an open-access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is ISSN: 1738-1916 properly cited.
CSL-TR-1-2013 July 17 , 2018

This paper develops a new class of Rosenbrock-type integrators based on a Krylov space solution of the linear systems. The new family, called Rosenbrock-Krylov (Rosenbrock-K), is well suited for solving large-scale systems of ODEs or semi-discrete PDEs. The time discretization and the Krylov space approximation are treated as a single computational process, and the Krylov space properties are an integral part of the new Rosenbrock-K order condition theory developed herein. Consequently, Rosenbrock-K methods require a small number of basis vectors determined solely by the temporal order of accuracy. The subspace size is independent of the ODE under consideration, and there is no need to monitor the errors in linear system solutions at each stage. Numerical results show favorable properties of Rosenbrock-K methods when compared to current Rosenbrock and Rosenbrock-W schemes.
The Potyviruses: An Evolutionary Synthesis Is Emerging

In this review, encouraged by the dictum of Theodosius Dobzhansky that “Nothing in biology makes sense except in the light of evolution”, we outline the likely evolutionary pathways that have resulted in the observed similarities and differences of the extant molecules, biology, distribution, etc. of the potyvirids and, especially, its largest genus, the potyviruses. The potyvirids are a family of plant-infecting RNA-genome viruses. They had a single polyphyletic origin, and all share at least three of their genes (i.e., the helicase region of their CI protein, the RdRp region of their NIb protein and their coat protein) with other viruses which are otherwise unrelated. Potyvirids fall into 11 genera of which the potyviruses, the largest, include more than 150 distinct viruses found worldwide. The first potyvirus probably originated 15,000–30,000 years ago, in a Eurasian grass host, by acquiring crucial changes to its coat protein and HC-Pro protein, which enabled it to be transmitted by migrating host-seeking aphids. All potyviruses are aphid-borne and, in nature, infect discreet sets of monocotyledonous or eudicotyledonous angiosperms. All potyvirus genomes are under negative selection; the HC-Pro, CP, Nia, and NIb genes are most strongly selected, and the PIPO gene least, but there are overriding virus specific differences; for example, all turnip mosaic virus genes are more strongly conserved than those of potato virus Y. Estimates of dN/dS (ω) indicate whether potyvirus populations have been evolving as one or more subpopulations and could be used to help define species boundaries. Recombinants are common in many potyvirus populations (20%–64% in five examined), but recombination seems to be an uncommon speciation mechanism as, of 149 distinct potyviruses, only two were clear recombinants. Human activities, especially trade and farming, have fostered and spread both potyviruses and their aphid vectors throughout the world, especially over the past five centuries. The world distribution of potyviruses, especially those found on islands, indicates that potyviruses may be more frequently or effectively transmitted by seed than experimental tests suggest. Only two meta-genomic potyviruses have been recorded from animal samples, and both are probably contaminants.
Automatic Grading of Figures in Digitalized Answer Scripts

Examinations are used for measuring the knowledge level of students. From previous times itself, examinations are evaluated according to conceptual content present in it. If there is an automated system for evaluating the answers and figures, the evaluation can be done much faster. A new system is introduced for the evaluation of hand drawn images. Handwriting recognition itself is one of the most challenging research areas in field of image processing and pattern recognition. So the purpose of the system is to evaluate the student’s hand drawn images and to verify that how much it is correlated with the manual evaluation of images. The texts and shapes that are appearing in the images are extracted using image processing techniques. The grades are calculated by comparing it with the original image. The system aims to make an automated system to evaluate student’s hand drawn image which produces the grades and to check whether the system is effective similar to the manual evaluation method.
Online Adaptable Time Series Anomaly Detection with Discrete Wavelet Transforms and Multivariate Gaussian Distributions

In this paper we present an unsupervised time series anomaly detection algorithm, which is based on the discrete wavelet transform (DWT) operating fully online. Given streaming data or time series, the algorithm iteratively computes the (causal and decimating) discrete wavelet transform. For individual frequency scales of the current DWT, the algorithm estimates the parameters of a multivariate Gaussian distribution. These parameters are adapted in an online fashion. Based on the multivariate Gaussian distributions, unusual patterns can then be detected across frequency scales, which in certain constellations indicate anomalous behavior. The algorithm is tested on a diverse set of 425 time series. A comparison to several other state-of-the-art online anomaly detectors shows that our algorithm can mostly produce results similar to the best algorithm on each dataset. It produces the highest average F1-score with one standard parameter setting. That is, it works more stable on high- and low-frequency-anomalies than all other algorithms. We believe that the wavelet transform is an important ingredient to achieve this.
The Theory Underlying Concept Maps and How to Construct Them1

Concept maps are graphical tools for organizing and representing knowledge. They include concepts, usually enclosed in circles or boxes of some type, and relationships between concepts indicated by a connecting line linking two concepts. Words on the line, referred to as linking words or linking phrases, specify the relationship between the two concepts. We define concept as a perceived regularity in events or objects, or records of events or objects, designated by a label. The label for most concepts is a word, although sometimes we use symbols such as + or %, and sometimes more than one word is used. Propositions are statements about some object or event in the universe, either naturally occurring or constructed. Propositions contain two or more concepts connected using linking words or phrases to form a meaningful statement. Sometimes these are called semantic units, or units of meaning. Figure 1 shows an example of a concept map that describes the structure of concept maps and illustrates the above characteristics.
Long-term Inflation Expectations and Risks to the Inflation Outlook

In many economic models, inflation expectations of price and wage setters are an important determinant of realized wage and price inflation. In the empirical framework that informs the staff’s inflation projection, survey measures of consumer price inflation expected over long horizons (generally after applying some level adjustment) serve as attractors for actual inflation. However, considerable uncertainty surrounds the mechanisms by which long-term inflation expectations are affected by the evolution of both real activity and inflation, as well as by policymakers’ communications about their inflation objective – especially in light of the apparent stability of these expectations for the past decade and a half. Monetary policy must be formulated in light of this uncertainty.
An Analytical Model for Optimizing the Combination of Energy Sources in a Single Power Transmission Network

The increasing amount of renewable energy currently being added to distribution networks presents new challenges and opportunities to system operators. This situation further complicates the operators’ tasks in dealing with changing net loads and balancing. The current work provides an analytical model to assist systems operators in stabilizing power generation and lowering total costs, through optimization of choices in the combination of programmable fossil sources and nonprogrammable renewable sources. The study first examines the various programmable and renewable energy sources that appear broadly suitable and economically appealing for combination. Next we identify the most important factors determining the potential integration of the sources in the system. Based on this introductory information we then develop the model for the selection of the appropriate mix of sources to achieve stable production. In developing the model we define indicators to evaluate and select the best configurations of the sources included in a particular combination. Next we apply the model to a specific case study and finally reexamine the interdependencies among all the variables of the model, to provide a better understanding of its dynamics and results.
Usefulness of Cytological grading in predicting tumor behavior in Breast carcinoma-An institutional experience

Background: Breast carcinoma is a frequently encountered malignancyand several modifications are under-way in the management of breast malignancies including Neo-adjuvant chemotherapy.In this context to give an idea to the oncologist about the behavior of the tumor through FNAC is becoming increasingly expected.So,in this study an attempt has been made to compare cytological grading with histological grading and the usefulness of cytology alone in predicting tumor behavior has been evaluated. Methods: 40 cases of breast carcinoma for which both cytological samples andhistological specimens are available are included in the study.Robinson’s method is used for cytological grading.Elstonand Ellis modification of Bloom-Richardson grading method is used for histological grading.The exactness of cytological grading is compared by its concordance with histological grading. Result :83.6% of overall concordance of cytological grading was obtained. Conclusion :Based on the fairly good level of concordance between cytological and histological findings in the study,it can be concluded that Robinson’s method of cytological grading is a fairly dependable method that can be used to give an exact idea to the oncologist about the tumor behavior