Miracle-dz/UniFAR-FTUs huggingface dataset:
University of Groningen Novel functional proteins coded by the human genome discovered in metastases of melanoma patients Sanchez,

In the advanced stages, malignant melanoma (MM) has a very poor prognosis. Due to tremendous efforts in cancer research over the last 10 years, and the introduction of novel therapies such as targeted therapies and immunomodulators, the rather dark horizon of the median survival has dramatically changed from under 1 year to several years. With the advent of proteomics, deep-mining studies can reach low-abundant expression levels. The complexity of the proteome, however, still surpasses the dynamic range capabilities of current analytical techniques. Consequently, many predicted protein products with potential biological Cell Biol Toxicol https://doi.org/10.1007/s10565-019-09494-4 Aniel Sanchez, Magdalena Kuras, Lazaro Hiram Betancourt, and György Marko-Varga should be considered joint first and last authors, respectively. A. Sanchez (*) : I. Pla :K. Pawlowski : J. Malm Section for Clinical Chemistry, Department of Translational Medicine, Skåne University Hospital Malmö, Lund University, 205 02 Malmö, Sweden e-mail: aniel.sanchez@med.lu. se M. Kuras : J. R. Murillo : J. Gil : J. Eriksson : R. Appelqvist :Y. Kim :M. Rezeli : L. H. Betancourt (*) :G. Marko-Varga Clinical Protein Science & Imaging, Biomedical Centre, Department of Biomedical Engineering, Lund University, BMC D13, 221 84 Lund, Sweden e-mail: lazaro.betancourt@med.lu. se K. Pawlowski Biology, Warsaw University of Life Sciences, Warsaw, Poland A. M. Szasz Cancer Center, Semmelweis University, Budapest 1083, Hungary F. C. S. Nogueira :G. B. Domont Proteomics Unit, Department of Biochemistry, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil F. C. S. Nogueira Laboratory of Proteomics, LADETEC, Institute of Chemistry, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil Y. Perez-Riverol European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus, CB10 1SD Hinxton, Cambridge, UK T. Miliotis AstraZeneca R&D, Mölndal, Sweden B. Baldetorp :H. Olsson : L. Lundgren :H. Ekedahl : Y. Sugihara : C. Welinder : E. Wieslander Division of Oncology and Pathology, Department of Clinical Sciences Lund, Lund University, 221 85 Lund, Sweden C. Ingvar Department of Surgery, Clinical Sciences, Skåne University Hospital, Lund University, Lund, Sweden functions have not yet been verified in experimental proteomic data. This category of ‘missing proteins’ (MP) is comprised of all proteins that have been predicted but are currently unverified. As part of the initiative launched in 2016 in the USA, the European Cancer Moonshot Center has performed numerous deep proteomics analyses on samples from MM patients. In this study, nine MPs were clearly identified by mass spectrometry in MM metastases. Some MPs significantly correlated with proteins that possess identical PFAM structural domains; and other MPs were significantly associated with cancer-related proteins. This is the first study to our knowledge, where unknown and novel proteins have been annotated in metastatic melanoma tumour tissue.
Mixed Reality Tabletop Gameplay: Social Interaction With a Virtual Human Capable of Physical Influence

In this article, we investigate the effects of the physical influence of a virtual human (VH) in the context of face-to-face interaction in a mixed reality environment. In Experiment 1, participants played a tabletop game with a VH, in which each player takes a turn and moves their own token along the designated spots on the shared table. We compared two conditions as follows: the VH in the virtual condition moves a virtual token that can only be seen through augmented reality (AR) glasses, while the VH in the physical condition moves a physical token as the participants do; therefore the VH’s token can be seen even in the periphery of the AR glasses. For the physical condition, we designed an actuator system underneath the table. The actuator moves a magnet under the table which then moves the VH’s physical token over the surface of the table. Our results indicate that participants felt higher co-presence with the VH in the physical condition, and participants assessed the VH as a more physical entity compared to the VH in the virtual condition. We further observed transference effects when participants attributed the VH’s ability to move physical objects to other elements in the real world. Also, the VH’s physical influence improved participants’ overall experience with the VH. In Experiment 2, we further looked into the question how the physical-virtual latency in movements affected the perceived plausibility of the VH’s interaction with the real world. Our results indicate that a slight temporal difference between the physical token reacting to the virtual hand’s movement increased the perceived realism and causality of the mixed reality interaction. We discuss potential explanations for the findings and implications for future shared mixed reality tabletop setups.
INFORMATION SUPPLY IN TOURISM MANAGEMENT BY MARKETING DECISION SUPPORT SYSTEMS

The importance of information and efficient information management is steadily increasing due to the evolution of new technologies and high-capacity storage media but also because growing market dynamics raise information needs. A marketing decision support system (MDSS) can be of particular importance as it supports organizations in collecting, storing, processing, and disseminating information, and in the decision-making process by providing forecasts and decision models (Little 1979). The following article provides insights into a successful implementation of a MDSS in tourism. Based on findings on the analysis of the system‟s protocol files, it discusses the information needs in tourism management.
The Effect 0 f Students ’ Technology Readiness 0 n Technology Acceptance Completed Research

Student-facing learning analytics (SFLA) empower students to take responsibility for their own learning. Increasingly, higher education institutions (HEIs) are implementing SFLA to enable students gain insight into their own learning process. However, successful implementation depends on whether students embrace them. Hence, gaining insight into what will drive students’ acceptance of SFLA is important for both designers and HEIs. The study investigated the effect of students’ technology readiness on acceptance of SFLA by integrating technology readiness (TR) and technology acceptance model. Data collected from undergraduate students was examined using Structural Equation Modeling. Optimism and innovativeness were found to have a significant positive influence on perceived usefulness (PU), perceived ease of use (PEOU) and behavioral intentions, while insecurity and discomfort had a negative effect on PEOU but not on PU and behavioral intentions. Therefore, optimism and innovativeness should be reinforced while minimizing insecurity and discomfort to enhance students’ intentions to adopt SFLA.
Sol-Gel Glass-Ceramic Materials Containing CaF2:Eu3+ Fluoride Nanocrystals for Reddish-Orange Photoluminescence Applications

CaF2:Eu glass-ceramic sol-gel materials have been examined for reddish-orange photoluminescence applications. The transformation from precursor xerogels to glass-ceramic materials with dispersed fluoride nanocrystals was verified using several experimental methods: differential scanning calorimetry (DSC), thermogravimetric analysis (TG), X-ray diffraction (XRD), transmission electron microscopy (TEM), infrared spectroscopy (IR-ATR), energy dispersive X-ray spectroscopy (EDS) and photoluminescence measurements. Based on luminescence spectra and their decays, the optical behavior of Eu3+ ions in fabricated glass-ceramics were characterized and compared to those of precursor xerogels. In particular, the determined luminescence lifetime of the D0 excited state of Eu3+ ions in nanocrystalline CaF2:Eu glass-ceramic materials is significantly prolonged in comparison with prepared xerogels. The integrated intensities of emission bands associated to the D0 → F2 electric-dipole transition (ED) and the D0→ F1 magnetic-dipole transition (MD) are changed drastically during controlled ceramization process of xerogels. This implies the efficient migration of Eu3+ ions from amorphous silicate sol-gel network into low-phonon energy CaF2 nanocrystals.
Deep Learning based MURA Defect Detection

INTRODUCTION : MURA defects in LED/LCD panels are one of the most challenging defects for Automatic Defect Classification and Localization (ADC) due to their extremely low contrast when compared with the background. Manual detection is subjective, error prone, very tedious and time consuming. Even when the type of MURA defects can be ascertained manually, the exact bounding box for defect is hard to determine. Various heuristic based image processing techniques have been applied giving sub-optimal accuracy over generic datasets. OBJECTIVES : The primary objective of this paper is to check whether the state of the art DL (Deep Learning) network for general object classification and localization (MSCOCO PASCAL VOC etc.) can be applied successfully for MURA Defect Classification and Localization. METHODS : In this paper we present a single DL pipeline for classification and localization which for the first time is applied for MURA defects. Naive DL network - Single Shot multi-box Detector (SSD, pre-trained on ImageNet) was not sufficient to give a good F1 score because of the nature of the defect. Accuracy improved a little after applying various DL specific optimization methods such as loss function optimization, network optimization etc. Utilizing the knowledge from MURA domain for data augmentation, like filtering based on image capture wavelength etc. improved the results significantly. RESULTS : Using optimization techniques that are from both DL domain as well as specific to MURA domain, we show improvement in the accuracy of the base DL pipeline from ~30% to ~80%. Minimum heuristics were used to define the pipeline so that it can easily adapt to any new MURA dataset. The paper shows the importance of domain specific pre-processing steps for the designed network in case of MURA defects. CONCLUSION : Using DL, MURA classification and localization had not been tried before. For the first time we demonstrated results for both classification and localization of MURA defects using state-of-the-art DL network with F1~80%. We also conclude that state-of-the-art network for general object detection can be reused with the help of Transfer Learning (TL) concept and fine-tuned with MURA domain specific optimizations mentioned in paper for optimal performances in MURA domain.
A Profession Identification On Narrative Scenario Document

A clear determination of the profession of the stakeholders in the software requirement becomes important in order to get a good requirement. One way of identifying stakeholders is by reading a narrative scenario document. In narrative scenario documents, the system is required to read sentence patterns that can only be understood by humans while the profession of the stakeholders is in the document. Narrative scenario document as formal portrayals are not inconsequential, and it requires a solid learning of formal displaying. However, the system needs to be known all stakeholders in a software product. Stakeholders in software requirement can be represented as a profession. In this paper, we do a search for sentences that identify the profession of the stakeholders. Then we change it into sentence patterns that can be understood by the system. The results of sentence patterns that have been established indicate there is a substantial agreement with an expert.
Experimental and numerical investigation of the mechanism of drag reduction by surfactant additives and heat transfer

Abstract In this article we summarized the principal results of our experimental and numerical studies on the characteristics of turbulence structures, turbulence transport for momentum and heat in a drag-reduced turbulent channel flow with surfactant additives. Particle image velocimetry (two-dimensional and stereoscopic) was employed to investigate turbulence structures and momentum transport and laser Doppler velocimetry combining with a fine-wire thermocouple was used to investigate turbulence transport for heat. The numerical study was performed by using DNS. The combination of experimental and numerical results shed light upon the mechanisms of drag reduction and heat transfer reduction in surfactant solution flows.
Data-Driven Compartmental Modeling Method for Harmonic Analysis—A Study of the Electric Arc Furnace

The electric arc furnace (EAF) contributes to almost one-third of the global iron and steel industry, and its harmonic pollution has drawn attention. An accurate EAF harmonic model is essential to evaluate the harmonic pollution of EAF. In this paper, a data-driven compartmental modeling method (DCMM) is proposed for the multi-mode EAF harmonic model. The proposed DCMM considers the coupling relationship among different frequencies of harmonics to enhance the modeling accuracy, meanwhile, the dimensions of the harmonic dataset are reduced to improve computational efficiency. Furthermore, the proposed DCMM is applicable to establish a multi-mode EAF harmonic model by dividing the multi-mode EAF harmonic dataset into several clusters corresponding to the different modes of the EAF smelting process. The performance evaluation results show that the proposed DCMM is adaptive in terms of establishing the multi-mode model, even if the data volumes, number of clusters, and sample distribution change significantly. Finally, a case study of EAF harmonic data is conducted to establish a multi-mode EAF harmonic model, showing that the proposed DCMM is effective and accurate in EAF modeling.
NORMALISED QUALITY INDICATORS FOR EUMETSAT CLOUD MOTION WINDS

The transfer of METEOSAT operations from the European Space Operations Centre to EUMETSAT provided an opportunity to include several new features in the extraction of meteorological products. One of the most significant changes was conceived in the automatic quality control of the cloud motion winds. The new scheme is composed of several quality functions that all provide a continuous quality indicator. These functions utilise hyperbolic functions that enable the system to return normalised quality indicators between 0 and 1. This enables a final assessment of the quality of each individual vector. The assessment is based on the weighted mean of the normalised indicators and is also performing a pre selection of the most suitable winds for dissemination. This is important as the new Cloud Motion Wind derivation scheme is simultaneously providing a wind vector in all three METEOSAT spectral bands and without the pre selection the manual quality control would be overwhelming.
Chemical Characterization and Biological Study of the Species Senecio Cineraria

Senecio cineraria is a perennial shrub of Mediterranean origin, belonging to the family of Asteraceae, it has been used in pharmaceutical preparations and in homeopathy. This investigation has been a scientific contribution to the determination of certain phytochemicals, as well as the study of some in vitro biological activities of the methanolic extract of the plant. The analysis of the extract by colorimetric tests revealed the presence of flavonoids, alkaloids and tannins. Qualitatively, the TLC analysis of the extract showed the presence of a multitude of flavonoid varieties. The flavonoid assay showed a significant content on the order of 60.16 mg EQ / g E. The study of the antioxidant power by the DPPH method showed a concentration which traps 50% of the DPPH• (IC50) radical was 0.35 mg / ml. Methanol Extract of Senecio cineraria (MESC) revealed a significant anti-hemolytic effect compared to the positive control. This was proportional to the concentration of the extract used during the test. The antibacterial potential of the extract was confirmed on strains: Staphylococcus aureus, Listeria monocytogenes and Klebsielaoxytoca, with MICs of 10 mg / ml, 20 mg / ml and 2.5 mg / ml; respectively. Chronometric coagulation tests (TCK and TQ) showed that the extract has significant anticoagulant activity.
An E-Commerce SWOT Analysis for Export of Agricultural Commodities in Iran

Electronic commerce (E-commerce) is a contemporary concept with huge potential that is fundamentally changing how business is done. This paper describes robust E-commerce strategies for trading agricultural goods and services. The purpose of this study was to enhance the efficiency of E-commerce in the export of agricultural commodities. Since the SWOT method is a key tool used by businesses to formulate strategic plans, this study conducted a SWOT analysis of E‐commerce to identify the strengths, weaknesses, opportunities, and threats faced by E‐commerce in current scenarios. A random sampling method was used to select the statistical population, which was composed of 96 experts from the Ministry of Agriculture. Seventy-five questionnaires were distributed to the experts (N= 75) using Morgan and Krejsi's table, of which 59 questionnaires were filled (n= 59). The questionnaire consisted of strengths, weaknesses, opportunities, and threats to E-commerce development and it was prepared using the Delphi technique. The important results of SWOT analysis constituted a framework to help planners and managers realize their goals and enhance the export of agricultural commodities. The resulting SWOT matrix analysis was located in the area of WO (conservative strategy). Accordingly, it is recommended that for proper exploitation of environmental opportunities, organizational weaknesses should be taken into account. Some important strategies suggested based on this study are enforcing laws and providing effective incentives to reduce production costs relative to global prices as well as creating innovation in the export process using E-commerce.
Comparing Johnson's SB and Weibull Functions to Model the Diameter Distribution of Forest Plantations through ALS Data

The analysis of the diameter distribution is important for forest management since the knowledge of tree density and growing stock by diameter classes is essential to define management plans and to support operational decisions. The modeling of diameter distributions from airborne laser scanning (ALS) data has been performed through the two-parameter Weibull probability density function (PDF), but the more flexible PDF Johnson’s SB has never been tested for this purpose until now. This study evaluated the performance of the Johnson’s SB to predict the diameter distributions based on ALS data from two of the most common forest plantations in the northwest of the Iberian Peninsula (Eucalyptus globulus Labill. and Pinus radiata D. Don). The Weibull PDF was taken as a benchmark for the diameter distributions prediction and both PDFs were fitted with ALS data. The results show that the SB presented a comparable performance to the Weibull for both forest types. The SB presented a slightly better performance for the E. globulus, while the Weibull PDF had a small advantage when applied to the P. radiata data. The Johnson’s SB PDF is more flexible but also more sensitive to possible errors arising from the higher number of stand variables needed for the estimation of the PDF parameters.
Woc-Bots: An Agent-Based Approach to Decision-Making

We present a flexible, robust approach to predictive decision-making using simple, modular agents (WoC-Bots) that interact with each other socially and share information about the features they are trained on. Our agents form a knowledge-diverse crowd, allowing us to use Wisdom of the Crowd (WoC) theories to aggregate their opinions and come to a collective conclusion. Compared to traditional multi-layer perceptron (MLP) networks, WoC-Bots can be trained more quickly, more easily incorporate new features, and make it easier to determine why the network gives the prediction that it does. We compare our predictive accuracy with MLP networks to show that WoC-Bots can attain similar results when predicting the box office success of Hollywood movies, while requiring significantly less training time.
WINDS FROM METEOSAT AND GMS WV-IMAGERY USING VARIATIONAL TECHNIQUES

A new method is described where motion analysis is represented by a variational problem. Based on this optical flow concept, a modification has been introduced which derives wind fields by a separate control of the vector flow gradient components, namely divergence, vorticity, and deformation. By the aid of Meteosat-WV data of a cutoff low the general performance of the variational approach is discussed. A second case study on Meteosat-WV data together with a quantitative comparison to ALPEX wind fields is used to reveal the quality of the derived information. This verification shows an underestimation of high wind speed. The vector differences are rmse = 11.3 m/s for high level winds (p ≤ 400 hPa) and rmse = 9.6 m/s for medium level winds (p > 400 hPa). The mean absolute direction difference indicates a good reconstruction of the wind direction for both levels ( = 21.7° for p ≤ 400 hPa and = 16.6° for p > 400 hPa). The analysis of the components divergence, deformation, and vorticity of the vector gradient are in good agreement to the quasi-geostrophic scale analysis. Currently, an Internet service has been installed which presents daily GMS-5 WV vector fields over Australia, the Tasman Sea, and New Zealand. This shows the feasibility of an operational use of FAM for the motion analysis of WV imagery.
The Education, Social and Women Culture In The Environment of Pesantren Salaf

Pesantren (boarding school) of salaf is one of the prides of Islamic educations in Indonesia, because it is the first Islamic education in Indonesia and still survives nowadays by trying to adjust to the changing of times. But in the era of modernization, salaf pesantren often get a negative stigma and an unfavorable image in the public. Starting from the accusation of being a hotbed of terrorism, radical Islamic educational institutions, opposing nationalism, to the accusations as an institution that discredits women in terms of education, social and culture. These issues are quite hurting the feelings of Muslims who put their trust in the salafpesantren as an institution that gives birth toulama (muslim scholars). The aim of this studyis to reveal the role of the salafpesantrenin empowering women in the aspects of educational, social and cultural.At the same time this study is also explaining that the educational, social and cultural model of women in the salaf pesantren can be used as a solution to women's moral degradation and protection of women's rights without reducing and degrading women’s dignity and respect. The result of this study indicates that the educational component and the atmosphere of pesantren learning process which includes in-class and outside the classroom take a major role in balancing and aligning understanding of teaching material in classic texts that are considered gender biased.So, the understanding that reaches the students about gender issues is a detailed, complete and comprehensive understanding.