nils-herrmann/clean_scirepeval huggingface dataset:
Neuroprotection of midbrain dopamine neurons by nicotine is gated by cytoplasmic Ca2+
Venue: FASEB journal official publication of the Federation of American Societies for Experimental Biology
Year: 2011

Epidemiological and experimental evidence indicates that nicotine is protective for Parkinson disease vulnerable dopamine neurons, but the underlying mechanism of this effect remains only partly characterized. To address this question, we established rat midbrain cultures maintained in experimental conditions that favor the selective and spontaneous loss of dopamine neurons. We report here that nicotine afforded neuroprotection to dopamine neurons (EC50 0.32 mM) but only in a situation where cytosolic Ca2+ (Ca2+cyt) was slightly and chronically elevated above control levels by concurrent depolarizing treatments. By a pharmacological approach, we demonstrated that the rise in Ca2+ cyt was necessary to sensitize dopamine neurons to the action of nicotine through a mechanism involving a bungarotoxin sensitive (presumably a7) nicotinic acetylcholine receptors (nAChRs) and secondarily T type voltage gated calcium channels. Confirming the role played by a7 nAChRs in this effect, nicotine had no protective action in midbrain cultures prepared from genetically engineered mice lacking this receptor subtype. Signaling studies revealed that Ca2+ cyt elevations evoked by nicotine and concomitant depolarizing treatments served to activate a survival pathway involving the calcium effector protein calmodulin and phosphatidylinositol 3 kinase. Collectively, our data support the idea that the protective action of nicotine for dopamine neurons is activity dependent and gated by Ca2+cyt. Toulorge, D. Guerreiro, S. Hild, A. Maskos, U. Hirsch, E. C. Michel, P. P. Neuroprotection of midbrain dopamine neurons by nicotine is gated by cytoplasmic Ca2+ FASEB  2573 (2011) www.fasebj.org
LogTransfer: Cross System Log Anomaly Detection for Software Systems with Transfer Learning
Venue: 2020 IEEE 31st International Symposium on Software Reliability Engineering (ISSRE)
Year: 2020

System logs, which describe a variety of events of software systems, are becoming increasingly popular for anomaly detection. However, for a large software system, current unsupervised learning based methods are suffering from low accuracy due to the high diversity of logs, while the supervised learning methods are nearly infeasible to be used in practice because it is time consuming and labor intensive to obtain sufficient labels for different types of software systems. In this paper, we propose a novel framework, LogTransfer, which applies transfer learning to transfer the anomalous knowledge of one type of software system (source system) to another (target system) We represent every template using Glove, which considers both global word co occurrence and local context information, to address the challenge that different types of software systems are different in log syntax while the semantics of logs should be reserved. We apply an LSTM network to extract the sequential patterns of logs, and propose a novel transfer learning method sharing fully connected networks between source and target systems, to minimize the impact of noises in anomalous log sequences. Extensive experiments have been performed on switch logs of different vendors collected from a top global cloud service provider. LogTransfer achieves an averaged 0.84 F1 score and outperforms the state of the art supervised and unsupervised log based anomaly detection methods, which are consistent with the experiments conducted on the public HDFS and Hadoop application datasets.
Implementation of the code for the simulation of the response of a triple GEM tracker and its comparison to the experimental data
Venue: Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment
Year: 2019

In the framework of detector development, Monte Carlo simulations play a key role in the evaluation of the expected performance and the full understanding of the behavior in beam conditions. In particular, a software which simulates the response of the detector to the particle passage is mandatory to test different setups and solutions, such as geometries, fields, voltages etc. and to understand the test beam data. For gas trackers, existing softwares, such as GARFIELD, perform a very detailed simulation of the physical processes but are also CPU time consuming. For the new cylindrical GEM tracker of BESIII, a faster code which models the results obtained from GARFIELD and adapts them to the experimental data, collected in several test beams, has been written. It reproduces the behavior of a planar triple GEM under different working conditions and, when completed, it will be inserted in the official code of BESIII. A description of the procedure, based on different components (ionization, diffusion and magnetic field, avalanche multiplication, signal induction and readout) will be given and its results will be compared to the GARFIELD simulations and to the experimental data.
Seismic behaviour of deficient RC frames strengthened with CFRP composites
Year: 2010

A full scale two storey RC building with poor detailing in the beam column joints was tested on a shake table as part of the European research project ECOLEADER. After the initial tests which damaged the structure, the frame was strengthened using carbon fibre reinforced materials (CFRPs) and re tested. This paper investigates analytically the efficiency of the strengthening technique at improving the seismic behaviour of this frame structure. The experimental data from the initial shake table tests are used to calibrate analytical models. To simulate deficient beam column joints, models of steel concrete bond slip and bond strength degradation under cyclic loading are considered. The analytical models are used to assess the efficiency of the CFRP rehabilitation using a set of medium to strong seismic records. The CFRP strengthening intervention enhanced the behaviour of the substandard beam column joints, and resulted in substantial improvement of the seismic performance of the damaged RC frame. It is shown that, after the CFRP intervention, the damaged building would experience on average 65% less global damage compared to the original structure if it was subjected to real earthquake excitations.
Practice, science and governance in interaction: European effort for the system wide implementation of the International Classification of Functioning, Disability and Health (ICF) in Physical and Rehabilitation Medicine.
Venue: European journal of physical and rehabilitation medicine
Year: 2017

Since its launch in 2001, relevant international, regional and national PRM bodies have aimed to implement the International Classification of Functioning, Disability and Health (ICF) in Physical and Rehabilitation Medicine (PRM) whereby contributing to the development of suitable practical tools. These tools are available for implementing the ICF in day to day clinical practice, standardized reporting of functioning outcomes in quality management and research, and guiding evidence informed policy. Educational efforts have reinforced PRM physicians' and other rehabilitation professionals' ICF knowledge, and numerous implementation projects have explored how the ICF is applied in clinical practice, research and policy. Largely lacking though is the system wide implementation of ICF in day to day practice across all rehabilitation services of national health systems. In Europe, system wide implementation of ICF requires the interaction between practice, science and governance. Considering its mandate, the UEMS PRM Section and Board have decided to lead a European effort towards system wide ICF implementation in PRM, rehabilitation and health care at large, in interaction with governments, non governmental actors and the private sector, and aligned with ISPRM's collaboration plan with WHO. In this paper we present the current PRM internal and external policy agenda towards system wide ICF implementation and the corresponding implementation action plan, while highlighting priority action steps promotion of ICF based standardized reporting in national quality management and assurance programs, development of unambiguous rehabilitation service descriptions using the International Classification System for Service Organization in Health related Rehabilitation, development of Clinical Assessment Schedules, qualitative linkage and quantitative mapping of data to the ICF, and the cultural adaptation of the ICF Clinical Data Collection Tool in European languages.
An Overview of Deep Learning Architecture of Deep Neural Networks and Autoencoders
Year: 2020

The recent wide applications of deep learning in multiple fields has shown a great progress, but to perform optimally, it requires the adjustment of various architectural features and hyper parameters. Moreover, deep learning could be used with multiple varieties of architecture aimed at different objectives, e.g. autoencoders are popular for un supervised learning applications for reducing the dimensionality of the dataset. Similarly, deep neural networks are popular for supervised learning applications viz. classification, regression, etc. Besides the type of deep learning architecture, some other decision criteria and parameter selection decisions are required for determining each layer size, number of layers, activation and loss functions for different layers, optimizer algorithm, regularization, etc. Thus, this paper aims to cover different choices available under each of these major and minor decision criteria for devising a neural network and to train it optimally for achieving the objectives effectively, e.g. malware detection, natural language processing, image recognition, etc.
Pricing vulnerable power exchange options in an intensity based framework
Venue: J. Comput. Appl. Math.
Year: 2019

In this article, we study the valuation of a European vulnerable power exchange option in an intensity based framework. We assume that the default by the counter party is the time of the first jump of a doubly stochastic Poisson process whose intensity is modeled by a jump diffusion process. The dynamics of the two assets are assumed to be driven by correlated jump diffusion processes. All the three processes are assumed to be correlated in continuous part as well as in the jump part. In the proposed framework, employing the measure change technique, we obtain the explicit formula for the price of the power exchange option with counter party risk. Furthermore, sensitivity analysis is given to illustrate the effects of counterparty risk on the price of the option and effect of various parameters on the option prices.
Extracting COVID 19 Events from Twitter
Venue: ArXiv
Year: 2020

We present a corpus of 7,500 tweets annotated with COVID 19 events, including positive test results, denied access to testing, and more. We show that our corpus enables automatic identification of COVID 19 events mentioned in Twitter with text spans that fill a set of pre defined slots for each event. We also present analyses on the self reporting cases and user's demographic information. We will make our annotated corpus and extraction tools available for the research community to use upon publication at this https URL
The IDP Specific Force Field ff14IDPSFF Improves the Conformer Sampling of Intrinsically Disordered Proteins
Venue: J. Chem. Inf. Model.
Year: 2017

Intrinsically disordered proteins (IDPs) or intrinsically disordered regions do not have a fixed tertiary structure but play key roles in signal regulation, molecule recognition, and drug targeting. However, it is difficult to study the structure and function of IDPs by traditional experimental methods because of their diverse conformations. Limitations of current generic protein force fields and solvent models were reported in the previous simulations of IDPs. We have also explored overcoming these limitations by developing the ff99IDPs and ff14IDPs force fields to correct the dihedral distribution for eight disorder promoting residues often observed in IDPs and found encouraging improvements. Here we extend our correction of backbone dihedral terms to all 20 naturally occurring amino acids in the IDP specific force field ff14IDPSFF to further improve the quality of the modeling of IDPs. Extensive tests of seven IDPs and 14 unstructured short peptides show that the simulated Ca chemical shifts obtained with the ff14IDPSFF force field are in quantitative agreement with those from NMR experiments and are more accurate than those obtained with the base generic force field and also our previous ff14IDPs that only corrects the eight disorder promoting amino acids. The influence of the solvent model was also investigated and found to be less important. Finally, our explicit solvent MD simulations further show that ff14IDPSFF can still be used to model structural and dynamical properties of two tested folded proteins, with a slightly better agreement in the loop regions for both structural and dynamical properties. These findings confirm that the newly developed IDP specific force field ff14IDPSFF can improve the conformer sampling of intrinsically disordered proteins.
Sound analysis of the magnetically levitated left ventricular assist device HeartMate 3(tm)
Venue: The International journal of artificial organs
Year: 2019

The HeartMate 3(tm) has shown lower rates of adverse events compared to previous devices due to the design and absence of mechanical bearings. For previous devices, sound analysis emerged as a way to assess pump function. The aims of this study were to determine if sound analysis can be applied to the HeartMate 3 in vivo and in vitro and to evaluate an electronic stethoscope.  Sound recordings were performed with microphones and clinical accessible electronic stethoscope. The recordings were studied in both the time and the frequency domains. Recordings from four patients were performed to determine if in vivo and in vitro recordings are comparable.  The results show that it is possible to detect sound from HeartMate 3 and the sound spectrum is clear. Pump frequency and frequency of the pulsatile mode are easily determined. Frequency spectra from in vitro and in vivo recordings have the same pattern, and the major proportion (96.7% of signal power is located at the pump speed frequency 40 Hz. The recordings from the patients show low inter individual differences except from location of peaks originating from pump speed and harmonics. Electronic stethoscopes could be used for sound recordings, but the dedicated equipment showed a clearer sound spectrum.  The results show that acoustic analysis can also be performed with the HeartMate 3 and that in vivo and in vitro sound spectrum is similar. The frequency spectra are different from previous devices, and methods for assessing pump function or thrombosis need further evaluation.
Job Satisfaction Prediction based on Job Motivation and Emotional Intelligence of Managers and Employees
Year: 2018

Article history: Received date: 07 May 2017 Review date: 24 July 2017 Accepted date:10 October 2017 Printed on line: 17   The aim of this study was to predict the job satisfaction in managers and staff of the university units in District 5.  Among the statistical population of the study, 130 people (55 females and 75 males) were selected by cluster sampling method. Data were collected using job satisfaction, emotional intelligence of Schutt, and job motivation questionnaires.  For data analysis, Pearson correlation coefficient and multi variable regression analysis were used simultaneously. So, the two predictor variables are a significant predictor of the criterion variable, that is, the variable of job satisfaction. The share of job motivation variable is higher than emotional intelligence. In other words, job motivation 57% and emotional intelligence 31% explain the variable of job satisfaction variance.  The results showed that there is a significant correlation between job satisfaction, job motivation and emotional intelligence, and on the other hand, emotional intelligence and job motivation are a significant predictor of job satisfaction.
Climate change and developing country growth: the cases of Malawi, Mozambique, and Zambia
Venue: Climatic Change
Year: 2019

We consider the interplay of climate change impacts, global mitigation policies, and the economic interests of developing countries to 2050. Focusing on Malawi, Mozambique, and Zambia, we employ a structural approach to biophysical and economic modeling that incorporates climate uncertainty and allows for rigorous comparison of climate, biophysical, and economic outcomes across global mitigation regimes. We find that effective global mitigation policies generate two sources of benefit. First, less distorted climate outcomes result in typically more favorable and less variable economic outcomes. Second, successful global mitigation policies reduce global fossil fuel producer prices, relative to unconstrained emissions, providing a substantial terms of trade boost of structural fuel importers. Combined, these gains are on the order of or greater than estimates of mitigation costs. These results highlight the interests of most developing countries in effective global mitigation policies, even in the relatively near term, with much larger benefits post 2050.
Dynamic Pricing on E commerce Platform with Deep Reinforcement Learning
Venue: ArXiv
Year: 2019

In this paper we present an end to end framework for addressing the problem of dynamic pricing on E commerce platform using methods based on deep reinforcement learning (DRL) By using four groups of different business data to represent the states of each time period, we model the dynamic pricing problem as a Markov Decision Process (MDP) Compared with the state of the art DRL based dynamic pricing algorithms, our approaches make the following three contributions. First, we extend the discrete set problem to the continuous price set. Second, instead of using revenue as the reward function directly, we define a new function named difference of revenue conversion rates (DRCR) Third, the cold start problem of MDP is tackled by pre training and evaluation using some carefully chosen historical sales data. Our approaches are evaluated by both offline evaluation method using real dataset of Alibaba Inc. and online field experiments on Tmall.com, a major online shopping website owned by Alibaba Inc. In particular, experiment results suggest that DRCR is a more appropriate reward function than revenue, which is widely used by current literature. In the end, field experiments, which last for months on 1000 stock keeping units (SKUs) of products demonstrate that continuous price sets have better performance than discrete sets and show that our approaches significantly outperformed the manual pricing by operation experts.
The Effect of Emotional Intelligence on Turnover Intention and the Moderating Role of Perceived Organizational Support: Evidence from the Banking Industry of Vietnam
Year: 2020

The objective of this study is to investigate the impact of emotional intelligence on turnover intention, noting the mediating roles of work family conflict and job burnout as well as the moderating effect of perceived organizational support. Survey data collected from 722 employees at banks in Vietnam was analyzed to provide evidence. Results from the partial least squares structural equation modeling (PLS SEM) using the SmartPLS 3.0 program indicated that there was a negative effect of emotional intelligence on employees' turnover intention; this was mediated partially through work family conflict and job burnout. Besides, this study indicated that perceived organizational support could decrease work family conflict, job burnout and turnover intention of employees. It could also moderate the relationship between emotional intelligence and work family conflict. This negative relationship was stronger for employees who work in a supportive environment. The main findings of this research provided some empirical implications for the Vietnamese banking industry. It implied that organizations in the service industry should try to improve their employees' work family balance, reduce job burnout and take advantage of these emotional balances and supportive environments to create beneficial outcomes.
Fosil ammonoid berusia Trias Tengah dari Aring, Kelantan, Malaysia
Year: 2010

Some 13 species of Middle Triassic ammonoid fossils were discovered from two outcrops of sedimentary rocks belonging to the Telong Formation. The outcrops are located within the Felda Aring 5, along the road connecting Gua Musang Town and Kuala Berang. These two localities contained two ammonoid assemblages that are correlatable with the Standard Ammonoid Zone of the Tethyan region. Locality QZ480 contains four ammonoid species i.e. Balatonites cf. B. balatonicus, Danubites kansa, Kellnerites samneuensis, Hollandites sp. and Acrocordiceras sp. while locality QZ467 contains eight species i.e. Frankites regoledanus, Frankites apertus, Celtites epolensis, Clionitites sp. Protrachyceras costulatum, Anolcites sp. Joannites sp. and Megaphyllites jarbas. Biostratigraphically, ammonoid assemblage of locality QZ480 characterize the middle Anisian Balatonicus Subzone of Balatonites Zone while those of locality QZ467 characterize the late Ladinian Regoledanus Subzone of Protrachyceras Zone. Based on correlation, the results support the idea that the study area which can be correlated to the Triassic Lampang Phrae Basin located on the Sukhorthai Terrain of Shan Thai Block, belonging to the Cathaysian domain. The ammonoid assemblages pose a high scientific heritage value, particularly in their role as good age indicators for the Triassic.
The Frequency of Thyroid Dysfunction and Abnormal Uterine Bleeding in North East Medical College and Hospital, Sylhet
Year: 2021

Quick Response Code Abstract:  In this study our main goal is to evaluate the frequency of thyroid dysfunction and abnormal uterine bleeding.  This cross sectional study was carried out at North East Medical College and Hospital, Sylhet from January 2019 to August 2019. A convenient sample of 40 women with AUB was selected after eligibility to inclusion and exclusion criteria. Another sample of 40women with normal cycle selected as control cases.  During the study, comparing AUB women with control women with no AUB revealed no significant differences regarding occupation (p=0.9) marital status (p=0.2) parity (p=0.3) BMI (p=0.3) and euthyroid women wile on thyroid replacement therapy (p=1.0) There was a significant association between positive contraception history and women with AUB (p=0.001) No significant differences were observed between AUB women and controls regarding post coital bleeding (p=0.1) and history of Pap smear (p=0.07) There was a significant association between intermenstrual bleeding and women with AUB (p=0.02) The common interesting findings in our study were the significant association between high TSH level and women with AUB (p=0.002) No significant differences were observed between AUB women and controls regarding T3 level (p=0.5) Women with AUB were significantly associated with low T4 level (p=0.04) 10% of AUB women had low T4 level. a significant association was observed between women with AUB and hypothyroidism (p=0.003) 22% of AUB women had hypothyroidism while 2% of controls had hypothyroidism.  A significant cause of thyroid dysfunction is abnormal uterine bleeding in women of reproductive age. Thyroid hormones should be taken into account in the evaluation of patients with unexplained uterine bleeding.