nils-herrmann/clean_scirepeval huggingface dataset:
The 2019 Novel Coronavirus Outbreak A Global Threat.
Venue: The Journal of the Association of Physicians of India
Year: 2020

The 2019 Novel Corona virus infection (COVID 19) is an ongoing public health emergency of international significance. There are significant knowledge gaps in the epidemiology, transmission dynamics, investigation tools and management. In this article, we review the available evidence about this disease. Every decade has witnessed the evolution of a new coronavirus epidemic since the last three decades. The varying transmission patterns, namely, nosocomial transmission and spread through mildly symptomatic cases is an area of concern. There is a spectrum of clinical features from mild to severe life threatening disease with major complications like severe pneumonia, ARDS, acute cardiac injury and septic shock. Presence of bilateral ground glass opacity and consolidation on imaging in appropriate clinical background should raise a suspicion about COVID 19. Poor prognostic factors include Multilobular infiltration on chest imaging, Lymphopenia, Bacterial co infection, Smoking history, Chronic medical conditions like Hypertension and age >60 years (MuLBSTA score) Diagnosis is confirmed with PCR based testing of appropriate respiratory samples. Management is primarily supportive, with newer antivirals (lopinavir ritonavir and Remdesivir) under investigation. Role of steroids is still inconclusive. Standard infection control and prevention techniques should be followed. Vigilant screening of suspected cases and their contacts is important. Isolation of symptomatic cases and home quarantine of asymptomatic contacts is recommended. To conclude, controlling this highly transmissible disease requires international co ordination.
Impact of Change Management on Staff Performance in Kaduna Polytechinc, Kaduna, Nigeria
Year: 2015

Each change has consequences and implications, and one of the most important results of every process of change is a making a positive change in performance. The role of management is to systematically change work to convince workers of the importance of the change process role to reach the desired goals. Kaduna Polytechnic have passed a series of changes in organizational structure, change in technology and in individuals. This study is carried out to assess the level of change management and its impact on staff performance in Kaduna Polytechnic. This study used primary data collected through structured questionnaire. The data for this study is analysed using inferential staistics (logistic regression) The results of this study indicate that the change process in Kaduna Polytechnic significantly influenced the performance of staff of Kaduna Polytechinc. This study conclude that change management significantly affect staff performance in Kaduna Polytechnic. This study recommend that the management of Kaduna Polytechnic should endeavour to continue to train their staff regularly to be able to carry out their duties in accordance with the changes desired by the management of Kaduna Polytechnic. Keywords change, change management, performance, change intervention, change resistance
Deep Learning for Predicting Asset Returns
Venue: ArXiv
Year: 2018

Deep learning searches for nonlinear factors for predicting asset returns. Predictability is achieved via multiple layers of composite factors as opposed to additive ones. Viewed in this way, asset pricing studies can be revisited using multi layer deep learners, such as rectified linear units (ReLU) or long short term memory (LSTM) for time series effects. State of the art algorithms including stochastic gradient descent (SGD) TensorFlow and dropout design provide imple mentation and efficient factor exploration. To illustrate our methodology, we revisit the equity market risk premium dataset of Welch and Goyal (2008) We find the existence of nonlinear factors which explain predictability of returns, in particular at the extremes of the characteristic space. Finally, we conclude with directions for future research.
The potential of photoplethysmogram and galvanic skin response in emotion recognition using nonlinear features
Venue: Physical and Engineering Sciences in Medicine
Year: 2019

Recently, developing an accurate automatic emotion recognition system using a minimum number of bio signals has become a challenging issue in "affective computing." This study aimed to propose a reliable system by examining nonlinear dynamics of photoplethysmogram (PPG) and galvanic skin response (GSR) To address this goal, two strategies were adopted. First, the efficiency of each signal in valence/arousal based emotion categorization was examined. Then, the proficiency of a hybrid feature, by combining both GSR and PPG features was studied. Lyapunov exponents, lagged Poincare's measures, and approximate entropy were extracted to characterize the irregularity and chaotic behavior of the phase space. To discriminate two levels of arousal and two levels of the valence, a probabilistic neural network (PNN) with different sigma adjustment parameter was examined. The results showed that the phase space geometry and consequently, the signal dynamics are influenced by the emotional music video. Additionally, distinctive patterns of the phase space behavior were observed under the influence of different lags. For both signals, the most irregularity was observed during the high valence, and the least irregularity was seen during the low valence. Consequently, signals' irregularity is affected by the valence dimension. The results showed that the fusion has more potential for emotion recognition than that of using each signal separately. For sigma 0.1, the highest recognition rate was 100% in a subject dependent mode. In a subject independent mode, the maximum accuracies of 88.57 and 86.8% were obtained for arousal and valence dimensions, respectively.
Hyperactivation of phosphatidylinositol 3 kinase promotes escape from hormone dependence in estrogen receptor positive human breast cancer.
Venue: The Journal of clinical investigation
Year: 2010

Many breast cancers exhibit a degree of dependence on estrogen for tumor growth. Although several therapies have been developed to treat individuals with estrogen dependent breast cancers, some tumors show de novo or acquired resistance, rendering them particularly elusive to current therapeutic strategies. Understanding the mechanisms by which these cancers develop resistance would enable the development of new and effective therapeutics. In order to determine mechanisms of escape from hormone dependence in estrogen receptor positive (ER positive) breast cancer, we established 4 human breast cancer cell lines after long term estrogen deprivation (LTED) LTED cells showed variable changes in ER levels and sensitivity to 17beta estradiol. Proteomic profiling of LTED cells revealed increased phosphorylation of the mammalian target of rapamycin (mTOR) substrates p70S6 kinase and p85S6 kinase as well as the PI3K substrate AKT. Inhibition of PI3K and mTOR induced LTED cell apoptosis and prevented the emergence of hormone independent cells. Using reverse phase protein microarrays, we identified a breast tumor protein signature of PI3K pathway activation that predicted poor outcome after adjuvant endocrine therapy in patients. Our data suggest that upon adaptation to hormone deprivation, breast cancer cells rely heavily on PI3K signaling. Our findings also imply that acquired resistance to endocrine therapy in breast cancer may be abrogated by combination therapies targeting both ER and PI3K pathways.
Hierarchical Compression of Deep Convolutional Neural Networks on Large Scale Visual Recognition for Mobile Applications
Year: 2016

This paper present hierarchical compression scheme in deep convolutional neural networks (DCNN) on the ImageNet Large Scale Visual Recognition Challenge (ILSVRC) for mobile devices. In hierarchical compression, we reduce the size of parameters and layers in VGG16 and GoogLeNet by using the iterative synapse pruning and grouping and quantization schemes hierarchically. We use the own simulation framework based on caffe to execute the hierarchical network compression and compare the test accuracy of reference model with compressed ones. The proposed scheme reduces the network parameter size to 91.61% and 67% in VGG and GoogLeNet, respectively. And with less 16bit fixed point parameters, we achieve good compression rates again, with only negligible loss of classification accuracy.
Risk aversion: understanding teachers' resistance to technology integration
Year: 2013

Teachers who do not integrate technology are often labelled as 'resistant' to change. Yet, considerable uncertainties remain about appropriate uses and actual value of technology in teaching and learning, which can make integration and change seem risky. The purpose of this article is to explore the nature of teachers' analytical and affective risk perceptions, and how these influence decisions to integrate technology in their teaching practice. These ideas are explored through an in depth qualitative analysis of teacher interviews focusing on experiences with, and beliefs about, technology and teaching. Results suggest decisions to integrate technology in teaching are influenced by negative affective responses to technology, general risk aversion in teaching, and the perceived value of technology in teaching. The risk analysis framework and findings presented in this paper can be used to support communication with teachers to minimise perceived risks and, where appropriate, help support future technology use.
The influence of sagittal position of the mandible in facial attractiveness and social perception
Venue: Dental press journal of orthodontics
Year: 2017

This study aims at comparing the perception of orthodontists, maxillofacial surgeons, visual artists and laypersons when evaluating the influence of sagittal position of the mandible in lateral view in facial attractiveness; at a job hiring; and in the perception of socioeconomic profile.  A black male, a white male, a black female and a white female with harmonic faces served as models to obtain a facial profile photograph. Each photograph was digitally manipulated to obtain seven facial profiles: an ideal, three simulating mandibular advancement and three simulating mandibular retrusion, producing 28 photographs. These photographs were evaluated through a questionnaire by orthodontists, maxillofacial surgeons, visual artists and laypersons.  The anteroposterior positioning of the mandible exerted strong influence on the level of facial attractiveness, but few significant differences between the different groups of evaluators were observed (p 0.05)  The profiles pointed as the most attractive were also pointed as more favorable to be hired to a job position and pointed also as having the best socioeconomic condition.
KAJIAN PENGARUH JENIS BAHAN PENSTABIL DAN PROPORSI BUNGA MAWAR TERHADAP SIFAT FISIKO KIMIA DAN ORGANOLEPTIK SIRUP SARI MAWAR
Year: 2018

Rose flower is one of the important commodities whose main function is as a tourism commodity. Farmers in some highland areas in East Java such as Batu Town, Pasuruan, Probolinggo many who cultivate roses. Apart from being a tourism commodity, roses have the potential as a beverage product one of which is syrup. Syrup production should pay attention to the composition formulation which will produce good syrup products. The purpose of this research is to know the influence of stabilizer type and the proportion of whole rose to the physico chemical and organoleptic properties of rose syrup. This study was conducted using a nested plot consisting of two factors. Factor I is 3 types of stabilizers are alginate, agar, and CMC. Factor II is the proportion of the use of Unclear Crown (MTP) Crown+Pistil (MP) 5 MTP level 8% MP 0% MTP 6% MP 2% MTP 4% MP 4% MTP 2% MP 6% and MTP 0% MP 8% The treatments of three types of stabilizers and the proportion of whole rose flowers have an influence on antioxidant activity, total anthocyanin, total sugar, total dissolved solids, viscosity, color intensity (brightness, redness, yellowness) and hedonic test on rose syrup. The best treatment of rose syrup was obtained from P2M1 samples, MTP 6% MP 2% and gelatin stabilizer with antioxidant activity value of 83,91 total anthocyanin 0,61 mg/ml, total sugar 69,90 total soluble solids of 49,33 degbrix, viscosity of 2,30 d.Pas, brightness level (L) 29,93, redness level (a+ of 5,33, yellowishness (b+ 3,13, hedonic taste test 3,38 (good enough) hedonic test of aroma 3,29 (fresh enough) hedonic test 3,57 (quite interesting) favorite hedonic test 3,29 (quite like) and in accordance with SNI 3544:2013. The best treatment sample (P2M1) was not significantly different in all parameters tested by control syrup samples according to T test calculations.
Pain pressure threshold of a muscle tender spot increases following local and non local rolling massage
Venue: BMC Musculoskeletal Disorders
Year: 2015

BackgroundThe aim of the present study was to determine the acute effect of rolling massage on pressure pain threshold (PPT) in individuals with tender spots in their plantar flexor muscles.MethodsIn a randomized control trial and single blinded study, tender spots were identified in 150 participants' plantar flexor muscles (gastrocnemius or soleus) Then participants were randomly assigned to one of five intervention groups (n 30) 1) heavy rolling massage on the calf that exhibited the higher tenderness (Ipsi R) 2) heavy rolling massage on the contralateral calf (Contra R) 3) light stroking of the skin with roller massager on the calf that exhibited the higher tenderness (Sham) 4) manual massage on the calf that exhibited the higher tenderness (Ipsi M) and 5) no intervention (Control) PPT was measured at 30 s and up to 15 min post intervention via a pressure algometer.ResultsAt 30 s post intervention, the Ipsi R (24 and Contra R (21 demonstrated higher (p 0.03) PPT values compared with Control and Sham. During 15 min post intervention, PPT was higher (p 0.05) following Ipsi R (19.2 Contra R (15.9 and Ipsi M (10.9 compared with Control. There was no difference between the effects of three deep tissue massages (Ipsi R, Ipsi M and Contra R) on PPT.DiscussionWhereas the increased PPT following ipsilateral massage (Ipsi R and Ipsi M) might be attributed to the release of fibrous adhesions; the non localized effect of rolling massage on the contralateral limb suggests that other mechanisms such as a central pain modulatory system play a role in mediation of perceived pain following brief tissue massage.ConclusionOverall, rolling massage over a tender spot reduces pain perception.
Rankin Eisenstein classes in Coleman families
Year: 2015

We show that the Euler system associated with Rankin Selberg convolutions of modular forms, introduced in our earlier works with Lei and Kings, varies analytically as the modular forms vary in p adic Coleman families. We prove an explicit reciprocity law for these families and use this to prove cases of the Bloch Kato conjecture for Rankin Selberg convolutions.
EXTERNAL FACTORS THAT INFLUENCE THE VOTING BEHAVIOR OF YOUNG VOTERS EVALUATION OF THE MEASURMENT MODEL
Year: 2009

Young voters are very important as a target group, and therefore a better understanding of their voting behavior can help political campaigns develop a better communication strategy and thus, persuade more voters in elections. Based on the findings from the literature a model of the most influential external factors on voting behavior was proposed and tested to evaluate if it is applicable to measuring the voting behavior of young voters. The results of the study partially confirmed the model, suggesting more elaboration is needed in defining the potential influential factors on voting behavior of young voters.  In recent years the rate of people who can be classified as young voters in the USA increased from 42 million in 2006 to nearly 50 million in 2008 (US Census Bureau) representing almost one third of the total electorate. Therefore, they are a group that might play an important role in the forthcoming presidential elections. All of those who are classified as younger voters belong to the so called Y generation. There have been many studies addressing the problem pertaining to why young voters do not vote (Dermody Lloyd, 2003, 2004) but little or no considerable study has been directed in researching the factors that influence the voting behavior of this specific group. Because of the importance of this specific group, understanding and explaining what shapes the voting decision of young voters represents a challenging issue. As Gardner, Rees Tsianti (2005) explained, many authors addressed the need for a more complex segmentation process in political campaigning. According to these authors political parties use "simplistic marketing and in particular a simplistic type of segmentation" (p.1162) and thus, they are not as effective as they would be using a more complex segmentation (Gardner, et al, 2005) Even if parties do customize the message, the basic message remains the same. Parties should be aware of the complexity of the possible voter. Since young voters represent almost a third of the total electorate they represent a very important research group.
Wideband Dipole Antenna and Array Based on Liquid Crystal Polymer for 5G Applications
Venue: 2019 IEEE Asia Pacific Microwave Conference (APMC)
Year: 2019

In this paper, a wideband end fire dipole antenna and array based on liquid crystal polymer (LCP) is proposed for fifth generation (5G) applications. Meandered or bent arm is adopted in the dipole antenna design to reduce its size. Meanwhile, a director is added in front of the dipole, which not only improves the gain, but also generates a new resonance to expand the bandwidth. The simulated results show a wide bandwidth from 22.5 GHz to 30.2GHz with end fire radiation and good beam steering characteristic. Two antenna prototypes, including an antenna element and an array are fabricated and the experimental results demonstrate good agreement with the simulated ones.
Understanding the subject's behavior in the interaction with a decision support system under time pressure and missing information
Year: 2011

The article seeks to determine how time pressure and missing information in decision making affect the behavior of decision makers. Data was collected through an experimental task of simulating the purchase of a car, which was structured with the AHP (Analytic Hierarchy Process) multi criteria method in a Decision Support System. When pressured by time, the experimental subjects focused on the car of their choice; whereas with no time pressure, some of them rationalized more, used the information, and did not agree with the chosen car. Assumptions of the Theory of Image justified some findings, indicating that previously structured images in the mind of the decision maker are a way to cope with time pressure. Given the missing information, the use of background knowledge and individual experience were the most prominent coping strategy.
A hybrid method based on krill herd and quantum behaved particle swarm optimization
Venue: Neural Computing and Applications
Year: 2015

A novel hybrid Krill herd (KH) and quantum behaved particle swarm optimization (QPSO) called KH QPSO, is presented for benchmark and engineering optimization. QPSO is intended for enhancing the ability of the local search and increasing the individual diversity in the population. KH QPSO is capable of avoiding the premature convergence and eventually finding the function minimum; especially, KH QPSO can make all the individuals proceed to the true global optimum without introducing additional operators to the basic KH and QPSO algorithms. To verify its performance, various experiments are carried out on an array of test problems as well as an engineering case. Based on the results, we can easily infer that the hybrid KH QPSO is more efficient than other optimization methods for solving standard test problems and engineering optimization problems.
Potential of Renewable Energies Generated from Organic Waste in Algeria
Year: 2013

Since the industrial revolution, the management of various economic sectors was based, exclusively and intensively, on the exploitation of non renewable natural resources. The principal motivation of this orientation was the availability of these resources, their low costs and the benefits increase. But now, this management strategy has reached its limits because of the low natural reserves in the world and hence their high price. It has, also, causing important environmental damages. This situation can be reflected, in particular, by the scarcity of fossil energy, water, resources mines. And, at the same time, the production of different kinds of pollution which are inducing the imbalance environment especially, the greenhouse emissions, household, waste water. These reasons had obliged the Scientifics, the environmental protection organizations and, at last, the politic deciders the recourse to the sustainable development. Renewable energies contribute strongly to this new development model for witch waste to energy conversion represents an important opportunity. This because of waste availability, their low cost and the necessity of their collection and treatment which characterized this technology as a friendly environment. Until now, in the Mena regions and the most of developing countries, wastes aren't considered as an energetic resource. However, the adopting of restrictive standards for the waste discharge in natural environments, the implementation of the collection network and the treatment plants for the preservation of the public health and the environmental balance should reverse this trend in favor of the waste to energy technologies. This paper contributes to evaluate the potential of renewable energy production considering urban solid waste, sewage sludge and cow dung which are mobilizable, widely available both of urban and rural areas and increasing continuously in Algeria. Collected especially in urban areas, household wastes are estimated at more than 15 330 000 tons per year and sewage sludge, removed from wastewater treatment plants, is quantified at more than 350 000 m 3 yearly. In rural areas, cow dung isn't collected but they are locally available where animal husbandry is practiced. At last, the annual organic waste collected, the biogas produced and its energetic conversion are estimated in three different renewable energy systems. This will constitutes a new approach of the waste management for an Algerian sustainable environment.
The MATHUSLA test stand
Year: 2021

The rate of muons from LHC p p collisions reaching the surface above the ATLAS interaction point is measured as a function of the ATLAS luminosity and compared with expected rates from decays of W and Z bosons and b and c quark jets. In addition, data collected during periods without beams circulating in the LHC provide a measurement of the background from cosmic ray inelastic backscattering that is compared to simulation predictions. Data were recorded during 2018 in a 2.5 x 2.5 x 6.5 m3 active volume MATHUSLA test stand detector unit consisting of two scintillator planes, one at the top and one at the bottom, which defined the trigger, and six layers of RPCs between them, grouped into three x y measuring layers separated by 1.74 m from each other. Triggers selecting both upward going tracks and downward going tracks were used.