nils-herrmann/clean_scirepeval huggingface dataset:
The Impact of Economic Policy Uncertainty on UK Stock Market
Year: 2021

Take Baker's Economic Policy Uncertainty Index, and use the generalized impulse response function method and variance decomposition method based on the vector autoregressive model to empirically analyze the impact of economic policy uncertainty on the price level and its classified price index. A systematic and in depth study of the impact of economic policy uncertainty on UK stock market not only can effectively explain the characteristics of the "policy market" and "information market" yet in addition significantly affects improving the proficiency of national decisionmaking, fortifying business sector oversight and settling the advancement of the financial exchange. From the perspective of the impulse response function, the exchange rate, CPI, and price indices of all categories are negatively affected by the uncertainty of economic policies. By constructing the VAR model, the impact of economic policy uncertainty on the stock market is studied from the perspective of yield and volatility. Starting from the mean spillover test, the VAR model is estimated, and the Granger causality test, impulse response, and variance are used. By means of decomposition and other supplementary arguments, it is concluded that economic policy uncertainty does not have an average spillover to the stock market, and in turn, stock index returns are Granger reasons for changes in the EPU index.
Color vision deficiency compensation for Visual Processing Disorder using Hardy Rand Rittler test and color transformation
Venue: International Workshop on Pattern Recognition
Year: 2017

Visual processing skill is used to gather visual information from environment however, there are cases that Visual Processing Disorder (VPD) occurs. The so called visual figure ground discrimination is a type of VPD where color is one of the factors that contributes on this type. In line with this, color plays a vital role in everyday living, but individuals that have limited and inaccurate color perception suffers from Color Vision Deficiency (CVD) and still not aware on their case. To resolve this case, this study focuses on the design of KULAY, a Head Mounted Display (HMD) device that can assess whether a user has a CVD or not thru the standard Hardy Rand Rittler (HRR) test. This test uses pattern recognition in order to evaluate the user. In addition, color vision deficiency simulation and color correction thru color transformation is also a concern of this research. This will enable people with normal color vision to know how color vision deficient perceives and vice versa. For the accuracy of the simulated HRR assessment, its results were validated thru an actual assessment done by a doctor. Moreover, for the preciseness of color transformation, Structural Similarity Index Method (SSIM) was used to compare the simulated CVD images and the color corrected images to other reference sources. The output of the simulated HRR assessment and color transformation shows very promising results indicating effectiveness and efficiency of the study. Thus, due to its form factor and portability, this device is beneficial in the field of medicine and technology.
The Online Stochastic Generalized Assignment Problem
Venue: APPROX RANDOM
Year: 2013

We present a (1 \frac{1}\sqrt{k} competitive algorithm for the online stochastic generalized assignment problem under the assumption that no item takes up more than \frac{1}{k} fraction of the capacity of any bin. Items arrive online; each item has a value and a size; upon arrival, an item can be placed in a bin or discarded; the objective is to maximize the total value of the placement. Both value and size of an item may depend on the bin in which the item is placed; the size of an item is revealed only after it has been placed in a bin; distribution information is available about the value and size of each item in advance (not necessarily i.i.d) however items arrive in adversarial order (non adaptive adversary)
Multiscale Multipath Ensemble Convolutional Neural Network
Venue: IEEE Transactions on Systems, Man, and Cybernetics: Systems
Year: 2021

Most convolutional neural network (CNN) models require large parameter quantity, high computational consumption, and deeper layers to achieve better performance, which limit their further applications. For improvement, a lightweight multiscale multipath ensemble CNN (MSME CNN) is proposed. First, the shallow layer and deep layer convolution output features are directly concatenated to form a multipath ensemble mode, which can not only avoid gradient vanishing but also fuse the multilayer features. In addition, each path of the network is composed of multiscale low rank convolution kernels in parallel. This structure can extract multiscale features of the input and improve the feature extraction ability of the network. Meanwhile, the convolution kernel low rank approximation can effectively compress the model complexity. Furthermore, the proposed sparse connection mechanism of the convolution kernel helps to reduce the complexity, so that higher classification accuracy can be obtained with less parameters and computational load. Finally, the linear sparse bottleneck structure is used to fuse multiscale features and compress the convolution channel, which further improves the network performance. Experiments of four commonly used image recognition datasets verify the superiority of MSME CNN to several baseline models.
Metal organic frameworks: the pressure is on.
Venue: Acta crystallographica Section B, Structural science, crystal engineering and materials
Year: 2015

Metal organic frameworks (MOFs) demonstrate a wide variety of behavior in their response to pressure, including anomalous mechanical properties, negative linear compressibility, pressure induced crystal to crystal and crystal to amorphous structural transitions. The discovery of framework materials combining novel pressure responses and high mechanical stability is key in the quest for applications of MOFs at the industrial level.
Art, Technology, Education: Synergy of Modes, Means, Tools of Communication
Venue: Education Sciences
Year: 2019

The purpose of this article is to highlight the fact that the fertile learning circle of creative production/cultivation and technology in the organization and implementation of school projects by secondary schools for students aged 12 18, is aimed at the management of digital content, not just by using ready made applications, but also by emphasizing the "we" in the use of technology. This entails focusing on a pedagogical notion of the efficacy of art, and also expanding the concept of the artwork by investigating it as a participatory practice, studying the relations between multiple nodes, the dynamic potentials and practices of composition in the media. Artwork as a rhizome, complex, pluralistic emerges as an open ended assemblage and reorients the way of teaching. The dynamic field 'Art and Technology' as a field of synthesis, convergence, a modality of happening, and as a means of acquiring the skills and extensive knowledge necessary to bring about change, is based on technological, experimental, interactive and procedural technologies that involve the actions and/or influences and input of multiple persons as well as the machines. A new reality is built, encoded, recorded, and students are actively involved.
Evaluation of Head Pose Estimation for Studio Data
Venue: CLEAR
Year: 2006

This paper introduces our head pose estimation system that localizes nose tip of the faces and estimate head poses in studio quality pictures. After the nose tip in the training data are manually labeled, the appearance variation caused by head pose changes is characterized by tensor model. Given images with unknown head pose and nose tip location, the nose tip of the face is localized in a coarse to fine fashion, and the head pose is estimated simultaneously by the head pose tensor model. The image patches at the localized nose tips are then cropped and sent to two other head pose estimators based on LEA and PCA techniques. We evaluated our system on the Pointing'04 head pose image database. With the nose tip location known, our head pose estimators can achieve 94 96% head pose classification accuracy(within 15deg) With nose tip unknown, we achieves 85% nose tip localization accuracy (within 3 pixels from the ground truth) and 81 84% head pose classification accuracy(within 15deg)
Genome wide association study identifies favorable SNP alleles and candidate genes for waterlogging tolerance in chrysanthemums
Venue: Horticulture Research
Year: 2019

Chrysanthemums are sensitive to waterlogging stress, and the development of screening methods for tolerant germplasms or genes and the breeding of tolerant new varieties are of great importance in chrysanthemum breeding. To understand the genetic basis of waterlogging tolerance (WT) in chrysanthemums, we performed a genome wide association study (GWAS) using 92,811 single nucleotide polymorphisms (SNPs) in a panel of 88 chrysanthemum accessions, including 64 spray cut and 24 disbud chrysanthemums. The results showed that the average MFVW (membership function value of waterlogging) of the disbud type (0.65) was significantly higher than that of the spray type (0.55) at P 0.05, and the MFVW of the Asian accessions (0.65) was significantly higher than that of the European accessions (0.48) at P 0.01. The GWAS performed using the general linear model (GLM) and mixed linear model (MLM) identified 137 and 14 SNP loci related to WT, respectively, and 11 associations were commonly predicted. By calculating the phenotypic effect values for 11 common SNP loci, six highly favorable SNP alleles that explained 12.85 21.85% of the phenotypic variations were identified. Furthermore, the dosage pyramiding effects of the favorable alleles and the significant linear correlations between the numbers of highly favorable alleles and phenotypic values were identified (r2 0.45; P 0.01) A major SNP locus (Marker6619 75) was converted into a derived cleaved amplified polymorphic sequence (dCAPS) marker that cosegregated with WT with an average efficiency of 78.9% Finally, four putative candidate genes in the WT were identified via quantitative real time PCR (qRT PCR) The results presented in this study provide insights for further research on WT mechanisms and the application of molecular marker assisted selection (MAS) in chrysanthemum WT breeding programs.Crop genetics: chrysanthemums that cope with waterResearchers in China have identified several genes that help chrysanthemum plants withstand waterlogging. Fadi Chen's team at Nanjing Agricultural University used high throughput sequencing to search for correlations between genetic mutations and waterlogging tolerance in 88 chrysanthemum varieties. One analysis method identified 137 mutations linked to waterlogging tolerance, while a second uncovered 14 mutations. Comparing the two lists revealed 11 mutations common to both. Six of these mutations could improve waterlogging response by 25% and the team found that the mutations could be combined to improve performance even further. The team developed and tested a genetic marker to identify one of the high tolerance mutations, demonstrating how this information may help breeders. They also identified four genes linked with the 137 mutations. Altogether, these findings point the way towards breeding chrysanthemums with greater waterlogging tolerance.
SYMPTOMS AND SIGNS VERSUS TRANSFERENCE AND SPEECH Psychoanalysis and Clinical Diagnostics 1
Year: 2010

"In the medical tradition of the eighteenth century, the disease was observed in terms of symptoms and signs. These were distinguished from one another as much by their semantic value as by their morphology. The symptom hence its uniquely privileged position is the form in which the disease is presented: of all that is visible, it is closest to the essential; it is the first transcription of the inaccessible nature of the disease. The symptoms allow the invariable form of the disease set back somewhat, visible and invisible to show through. The sign announces: the prognostic sign, what will happen; the anamnesic sign, what has happened; the diagnostic sign, what is now taking place. Between it and the disease is a distance that it cannot cross without accentuating it, for it often appears obliquely and unexpectedly." In this passage from The Birth of the Clinic, Michel Foucault describes one of the medical 'codes of knowledge' at the end of the 18th century, showing that one and the same phenomenon, namely illness, underwent an epistemological transformation and was regarded as a different object of study, following a reorganisation within the prevalent bodies of knowledge and the power they confer upon specialised observers. Foucault points out that medical science at the end of the 18th century did not distinguish itself by its primary focus on what is visible, nor by a particular conception of illness itself, but rather by a modified relationship between the patient, his or her illness and the specialist confronted with it. According to Foucault, the position of the medical doctor at the end of the 18th century differed from the one he had occupied in ancient times and during the Middle Ages, because he was now able to rely on the environment of the clinical institution, which gave him the power to make new decisions. Within this context, illness was conceived as a complex of symptoms and signs, which the specialist had to recognize if he wanted to make a firm decision about the nature and the seriousness of the disorder, and the appropriate level of treatment.
"Liquid biopsy" ctDNA detection with great potential and challenges.
Venue: Annals of translational medicine
Year: 2015

Circulating tumor DNA (ctDNA) is now being extensively studied as it is a noninvasive "real time" biomarker that can provide diagnostic and prognostic information before, during treatment and at progression. These include DNA mutations, epigenetic alterations and other forms of tumor specific abnormalities such as microsatellite instability (MSI) and loss of heterozygosity (LOH) ctDNA is of great value in the process of cancer treatment. However, up to date, there is no strict standard considering the exact biomarker because the development and progression of cancer is extremely complicated. Also, results of the studies evaluating ctDNA are not consistent due to the different detection methods and processing. The major challenge is still assay sensitivity and specificity for analysis of ctDNA. This review mainly focuses on the tumor specific DNA mutations, epigenetic alterations as well as detecting methods of ctDNA. The advantages and disadvantages will also be discussed.
A Bitcoin Transaction Network Analytic Method for Future Blockchain Forensic Investigation
Venue: IEEE Transactions on Network Science and Engineering
Year: 2021

Popular Blockchain based cryptocurrencies, like Bitcoin, are increasingly being used maliciously for illegal trades. In order to trace and analyze suspected Bitcoin transactions and addresses, address clustering methods and Bitcoin flow analysis methods are gaining attention recently. However, existing methods only focus on Bitcoin addresses and flow, and neglect other important information, such as transaction structure and behavior features. In order to exploit all useful features of transactions, this paper proposes a Bitcoin transaction network analytic method for facilitating Blockchain forensic investigation based on an extended safe Petri Net. The structural features and dynamic semantics of Petri net are used in our proposed model to define the static and dynamic features of Bitcoin transactions. Nineteen features have been identified to define Bitcoin transaction patterns for analyzing and finding suspected addresses. Bitcoin gene has been embedded into the Petri net transitions to trace and analyze Bitcoin flow accurately. Finally, marginal distribution analysis of Bitcoin transaction features and data visualization techniques are used to eliminate some false positive samples further and to improve the accuracy of identifying suspected addresses. The proposed Bitcoin transaction network analytic method provides a reliable forensic investigation model along with a prototype platform which is beneficial for financial security. The efficiency of our proposed method is empirically verified based on a real life case study analysis.
Design of Automated Visual Inspection System for Beverage Industry Production Line
Venue: Traitement du Signal
Year: 2021

12 November 2019  20 February 2021 This paper provides an overall design and implementation perspective of a laboratory scale automated visual inspection system for the beverage industry's production line. A case study has been undertaken where the image processing algorithm inspects the beverage bottle for any defects. Different defects such as improper labeling and improper liquid level can be detected using the image processing algorithm. A laboratory prototype of the conveyor belt has been built, and a prototype filling plant has been established to verify the simulation results.
Constitutive Notch signalling promotes CD4 CD8 thymocyte differentiation in the absence of the pre TCR complex, by mimicking pre TCR signals.
Venue: International immunology
Year: 2007

Notch1 signalling is essential for the commitment of multipotent lymphocyte precursors towards the alphabeta T cell lineage and plays an important role in regulating beta selection in CD4( )CD8( double negative (DN) thymocytes. However, the role played by Notch in promoting the development of CD4()CD8( double positive (DP) thymocytes is poorly characterized. Here, we demonstrate that the introduction of a constitutively active Notch1 (ICN1) construct into RAG( lymphocyte precursors resulted in the generation of DP thymocytes in in vitro T cell culture systems. Notably, developmental rescue was dependent not only on the presence of an intact Notch1 RAM domain but also on Delta like signals, as ICN1 induced DP development in RAG( thymocytes occurred within an intact thymus or in OP9 DL1 co cultures, but not in OP9 control co cultures. Interestingly, ICN1 expression in SLP 76( precursors resulted in only a minimal developmental rescue to the immature CD8( single positive stage, suggesting that Notch is utilizing the same signalling pathway as the pre TCR complex. In support of this, ICN1 introduction resulted in the activation of the ERK MAPK signalling cascade in RAG( thymocytes. Taken together, these studies demonstrate that constitutive Notch signalling can bypass beta selection during early T cell development by inducing pre TCR like signals within a T cell promoting environment.
Panoramic view of common fusion genes in a large cohort of Chinese de novo acute myeloid leukemia patients
Venue: Leukemia lymphoma
Year: 2019

Fusion genes are major molecular biological abnormalities in hematological malignancies. This study aimed to depict the common recurrent gene fusion landscape in acute myeloid leukemia (AML) 3135 de novo AML cases were enrolled and 36 recurrent fusion genes were assessed using multiplex nested RT PCR. Twenty three distinct fusion genes were detected in 1292 (41.21% cases. The incidence of fusion genes was higher in pediatric AML than in adult cases. The pediatric patients had higher incidences of RUNX1 RUNX1T1, KMT2A MLLT3, KMT2A MLLT10, KMT2A MLLT11, KMT2A MLLT6, and FUS ERG, whereas KMT2A PTD was more common in adult patients. The occurrence of molecular abnormalities involving the KMT2A gene and CBFB MYH11 was lower in Chinese pediatric AML compared to Western reports. The incidence of RUNX1 RUNX1T1 was higher in both pediatric and adult patients in our study than in Western countries. This study provides a genetic landscape of common fusion genes in Chinese AML and confirms different incidences between age groups and races.
Measurement of the effects of e learning courses gamification on motivation and satisfaction of students
Venue: 2018 41st International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO)
Year: 2018

In this paper, we present the results of a study which was conducted in two stages. The first part of the paper contains literature search findings and analyzes the existing self assessment scales for measuring motivation and satisfaction of students that were developed by other authors. In the second part of our study we created a battery of self assessment measures for collecting data for an overarching set of gamification related constructs/variables selected in accordance to those that are reported in literature) These scales were constructed by (a) adaptation and improvement of items from existing measures and (b) creation of novel items for measures of constructs that were found to be important in research articles on gamification and educational games. The initial empirical evaluation of this new questionnaire (battery of assessment scales) was performed on a large convenience sample of students (N=201) who attended a hybrid course on computer programming. These respondents were divided into an experimental group, which used gamified e learning course material, and a control group, which used a parallel (non gamified) version of the e learning course with equal theoretical content/For each self assessment scale of the questionnaire Cronbach alpha coefficients were calculated and the scales were slightly corrected to improve their internal consistency. We report the results concerning the effects of gamification on motivation and satisfaction, which were measured by respective assessment scales.
Effects of the local resonance on the wave propagation in periodic frame structures: generalized Newtonian mechanics.
Venue: The Journal of the Acoustical Society of America
Year: 2012

This work is devoted to the study of the wave propagation in infinite two dimensional structures made up of the periodic repetition of frames. Such materials are highly anisotropic and, because of lack of bracing, can present a large contrast between the shear and compression deformabilities. Moreover, when the thickness to length ratio of the frame elements is small, these elements can resonate in bending at low frequencies when compressional waves propagate in the structure. The frame size being small compared to the wavelength of the compressional waves, the homogenization method of periodic discrete media is extended to situations with local resonance, and it is applied to identify the macroscopic behavior at the leading order. In particular, the local resonance in bending leads to an effective mass different from the real mass and to the generalization of the Newtonian mechanics at the macroscopic scale. Consequently, compressional waves become dispersive and frequency bandgaps occur. The physical origin of these phenomena at the microscopic scale is also presented. Finally, a method is proposed for the design of such materials.
DIVERSITY AND ECONOMIC VALUE OF MEDICINAL MUSHROOM OF CHATTISHGARH
Year: 2017

India has a very rich assemblage of traditional healing systems. Traditional aboriginals knew the medicinal value of edible and wild mushrooms. In India mushroom are boon for progress in the field of food and medicine and in developing countries generating employment. Mushroom in twentieth century are well known to people, mushrooms and toadstools belong to the kingdom fungi are nutritive, low calorie food with good quality proteins, vitamins, minerals and an important source of drugs source of potent new pharmaceutical products. The immense socio cultural diversity makes it an ideal storehouse of traditional medicinal knowledge. The only safe way to distinguish between edible and poisonous species is to learn to identify them accurately. The aim of the present study was brings into light the species diversity of fungal flora as well as socio economic value as non edible, edible and mushroom medicines in different agro climatic zones of Bilaspur Raipur India.