nils-herrmann/clean_scirepeval huggingface dataset:
Modeling and Recognition of Driving Fatigue State Based on R R Intervals of ECG Data
Venue: IEEE Access
Year: 2019

Driving fatigue is an important contributing factor to traffic crashes. Developing a system that monitors the driver's fatigue level in real time and produces alarm signals when necessary, is important for the prevention of accidents. In the past decades, many recognition algorithms were developed based on multiple indicators. However, the relationship between R R intervals of ECG and driving fatigue has not been studied. We develop a model to recognize the driving fatigue state based on R R intervals. The cluster effect in the R R interval sequence is found based on the stationary test and ARCH effect test. Then the AR (1) GARCH (1, 1) model is developed to fit the time sequence of R R intervals. The conditional variance of the residual R R sequence is used to recognize whether there are changes in driving states. Field data was collected on the freeway between Baicheng and Changchun cities, where 10 drivers took part in the experiments. Validations are conducted to test the effectiveness of the developed model, and the results show that the recognitions of driving fatigue for the 10 drivers are correct in all cases. In addition, the recognition time delay is smaller than 5 minutes.
FAKTOR YANG MEMENGARUHI KEPUASAN PASIEN RAWAT JALAN DI RUMAH SAKIT UMUM DAERAH Dr. ZUBIR MAHMUD KABUPATEN ACEH TIMUR TAHUN 2017
Year: 2018

Patient satisfaction is the response shown by the patient by comparing the perceived performance with expectations. If the results are felt below expectation, the patient will be disappointed, dissatisfied and even dissatisfied, but otherwise if it is in accordance with expectations, the patient will be satisfied and if the performance exceeds expectations, the patient will be very satisfied.  This research used analytic survey method with cross sectional survey design. The population in this study were all outpatients who visited Dr. Zubir Mahmud Hospital East Aceh Regency in September 2017 as many as 3900 people with a sample of 100 respondents.  The results of bivariate test showed that there is a relationship of physical evidence (tangible) reliability, responsiveness and assurance of Patient Satisfaction. Multivariate test was found to have effect of physical evidence (tangible) p 0.021, reliability p 0.025, and responsiveness p 0.023 with significance value <0,005 and unrelated variable is assurance service variable and empathy (emphaty)  The most influential variable is physical evidence (tangible) R eliability (reliability) responsiveness (responsiveness) Suggestions for the people who seek outpatient and inpatient care will cooperate to maintain the facilities and infrastructure facilities in hospitals D r. Zubir Mahmud, and follow the rules for patients who have been set up the dr. Zubir Mahmud.  Patient Satisfaction Tangible Reliability Responsiveness Assurance Emphaty
Determination of Crop Water Stress Index by Infrared Thermometry in Grapefruit Trees Irrigated with Saline Reclaimed Water Combined with Deficit Irrigation
Venue: Remote. Sens.
Year: 2019

Water is not always accessible for agriculture due to its scarcity. In order to successfully develop irrigation strategies that optimize water productivity characterization of the plant, the water status is necessary. We assessed the suitability of thermal indicators by infrared thermometry (IRT) to determine the water status of grapefruit in a commercial orchard with long term irrigation using saline reclaimed water (RW) and regulated deficit irrigation (RDI) in Southeastern Spain. The results showed that Tc Ta differences were positive in a wide range of vapor pressure deficits (VPD) and the major Tc Ta were found at 10.00 GMT, before and after the highest daily values of VPD and solar radiation, respectively, were reached. In addition, we evaluated the relationships between Tc Ta and VPD to establish the Non Water Stressed Baselines (NWSBs) which are necessary to accurately calculate the crop water stress index (CWSI) Two important findings were found, which include i) the best significant correlations (p 0.005) found at 10.00 GMT and their slopes were positive, and ii) NWSBs showed a marked hourly and seasonal variation. The hourly shift was mainly explained by the variation in solar radiation since both the NWSB slope and the NWSB intercept were significantly correlated with a zenith solar angle (thZ) (p 0.005) The intercept was greater when thZ was close to 0 (at midday) and the slope displayed a marked hysteresis throughout the day, increasing in the morning and decreasing in the afternoon. The NWSBs determination, according to the season improved most of their correlation coefficients. In addition, the relationship significance of Tc Ta versus VPD was higher in the period where the intercept and Tc Ta were low. CWSI was the thermal indicator that showed the highest level of agreement with the stem water potential of the different treatments even though Tc and Tc Ta were also significantly correlated. We highlight the suitability of thermal indicators measured by IRT to determine the water status of grapefruits under saline (RW) and water stress (RDI) conditions.
Cross Lingual Disaster related Multi label Tweet Classification with Manifold Mixup
Venue: ACL
Year: 2020

Distinguishing informative and actionable messages from a social media platform like Twitter is critical for facilitating disaster management. For this purpose, we compile a multilingual dataset of over 130K samples for multi label classification of disaster related tweets. We present a masking based loss function for partially labelled samples and demonstrate the effectiveness of Manifold Mixup in the text domain. Our main model is based on Multilingual BERT, which we further improve with Manifold Mixup. We show that our model generalizes to unseen disasters in the test set. Furthermore, we analyze the capability of our model for zero shot generalization to new languages. Our code, dataset, and other resources are available on Github.
Support Vector Machine Based on Incremental Learning for Malware Detection
Year: 2015

The training of traditional SVM method requires the solution of quadratic programming, and consumes high memory and has low speed for large data training. Incremental learning is one of the meaningful methods to continuously update the data for learning, which keeps the previous learning results, re learning only for the additional data, so as to form a continuous learning process. This paper will study the support vector machine based on incremental learning method and its application in the malware detection. The experiments carried out in the Internet Security Laboratory at Kingsoft Corporation suggested that, for large number of virus samples, our method can rapidly and effectively update the sample features, which avoids duplication of learning history samples and ensures the malware prediction ability for the detection model.  Support Vector Machine; Incremental Learning; Malware Detection
Building English Chinese and Chinese English MT engines for the computer software domain
Venue: EAMT
Year: 2012

In this paper we present two sets of English Chinese and Chinese English machine translation trials conducted by TAUS Labs on computer software content. The goal of this study is twofold: (1) to share our experience on training and optimizing of Moses based engines driven by translation memories provided by industrial users and (2) to give to the users the idea of results, cost and effort associated with training of MT engines.
dosiseolgongdan banggeulradesi jeongbugyeyagseowa FIDIC gyeyaggwa bigyoyeongu
Year: 2014

KR network has activated the vigorous development of markets and won contracts in overseas railway markets such as Southeast Asia, Southwest Asia (Nepal, Bangladesh) Middle East (Oman) that are based on tangible results of the successive performance of China Railway construction. However, it is essential that KR network makes fair and precise contracts with each other in global construction business, though there are differences among the different laws, regulations, customs, language, and culture. Thus, we will have the comparative analysis between 'Contract for KR consortium with Bangladesh in December 2013' and FIDIC international Contract (Red Book) the international construction and engineering field agreement standard contract. It can prevent potential risks such as construction expenses, construction period delay, contract claims in business. This FIDIC contract will make the KR network more progress in the future, it can draw implications of improvement and problem solutions in international contract.
Reminiscences of Sor Juana in a festejo in the Convent of San Jeronimo (Mexico City, 1756)
Year: 2014

It has long been recognized in scholarship devoted to Sor Juana Ines de la Cruz (1651? 1695) that the Mexican nun's literary reputation, which had soared during the last years of her life and for some thirty years after her death, declined as the eighteenth century progressed, following the shift from baroque to neoclassic literary tastes. Appreciation for Sor Juana and her work was unsteady at best through the nineteenth century, revived in the early to mid twentieth century with the "rehabilitation" of Gongorism and the Baroque, and burgeoned late in that century with, among other things, the attention of feminist literary critics and the increased scholarly activity that accompanied the three hundredth anniversary of Sor Juana's death. In the twenty first century, the appeal of the nun's life and work has remained very strong in the academy, among general readers, and among creative writers and artists in other media.1 Accompanying the intense scholarly interest in Sor Juana in the late twentieth and early twenty first centuries and to some degree spurred on by it has been the increased attention paid to other female religious in the early modern Hispanic world. Numerous aspects of the lives, writings, and other cultural contributions of nuns in Spain and the Spanish colonies have received scrutiny, in studies that in turn shed a clearer light on Sor Juana's perceived uniqueness, her identity as rara avis that her contemporaries celebrated and which has remained entwined with her image to this day. Doubtlessly, Sor Juana's literary and intellectual accomplishments and her publication success were matched by few Spanish language writers of either gender during the early modern period, and the fact that she was a female religious made her achievements even more unusual. At the same time, scholarship has revealed that Sor Juana's "exceptionality" was relative; many other nuns of her time demonstrated literary and intellectual proclivities, and a significant engagement Reminiscences of sor Juana in a festejo in the convent 95
Prevalence, antibiotic resistance, and molecular characterization of Salmonella serovars in retail meat products.
Venue: Journal of food protection
Year: 2011

The prevalence of Salmonella was determined in chicken meat (n 26) beef (n 49) and pork (n 56) collected from wholesale markets, retail stores, and traditional markets in Seoul, South Korea, in 2009. Antibiotic resistance was assessed, and the molecular subtypes of Salmonella isolates were ascertained using an automated repetitive sequence based PCR (rep PCR) system (DiversiLab) A total of 18 Salmonella strains were isolated from 17 of 131 samples: 16 strains from each of 16 samples and 2 strains from the same pork sample. The prevalence of Salmonella from the retail meats was 2.0% in beef, 8.9% in pork, and 42.3% in chicken meat. Among 10 different serotypes, Salmonella enterica Panama was recovered from a beef sample, and Salmonella London and Salmonella Montevideo were the predominant serotypes from pork and chicken meat, respectively. The highest antibiotic resistance observed was to erythromycin (100% followed by streptomycin (22.2% and tetracycline and chloramphenicol (16.7% Of the 18 isolates, 5 (27.8% were resistant to two or more antibiotics, and 1 isolate from chicken meat was resistant to eight antibiotics, including cephalosporins. Differentiation between all of the Salmonella isolates except between Salmonella Montevideo and Salmonella London was successfully performed with the automated rep PCR system, indicating that it can be added to the toolbox for source tracking of foodborne pathogens associated with outbreaks.
Enhancement of Plant Regeneration in Lemon Balm (Melissa officinalis L. with Different Magnetic Field Applications
Year: 2020

Melissa officinalis L. (lemon balm) is a valuable medicinal and aromatic plant in the Lamiaceae family. Two independent experiments were performed to improve the productivity of the plant regeneration. Firstly, the most efficient in vitro culture system of M. officinalis was determined using 7 different explant types (leaf, petiole, stem, root, axillary buds, shoot buds and cotyledon buds) on medium containing Murashige and Skoog minimal organics (MSMO) medium with different concentrations and combinations of plant growth regulators (PGRs) Micropropagation was obtained only with explants containing meristematic cells (axillary buds, shoot tip buds and cotyledon buds) Lemon balm had a very low regeneration capacity and in the second part of the experiment, enhancement of regeneration was aimed with the applications of different magnetic fields (MFs) Two different MFs (50 and 100 mT) were generated using neodymium block magnets. There was no MF exposure with control treatment. Three different explants (axillary, shoot tip and cotyledon buds) were cultured on media including BA in combination with indole 3 acetic acid (IAA) or naphthalene acetic acid (NAA) with the application of two different MFs at 1 hour duration. As a result, it was determined that MF applications enhanced the regeneration capacity of M. officinalis and the best shoot formation was observed with axillary bud explant cultured in 1.5 mg/L BA at 100 mT MF application for 1 hour duration.
Event detection based on open information extraction and ontology
Venue: J. Inf. Telecommun.
Year: 2020

Most of the information is available in the form of unstructured textual documents due to the growth of information sources (the Web for example) In this respect, to extract a set of events from texts written in natural language in the management change event, we have been introduced an open information extraction (OIE) system. For instance, in the management change event, a PERSON might be either the new coming person to the company or the leaving one. As a result, the Adaptive CRF approach (A CRF) has shown good performance results. However, it requires a lot of expert intervention during the construction of classifiers, which is time consuming. To palpate such a downside, we introduce an approach that reduces the expert intervention during the relation extraction. Also, the named entity recognition and the reasoning, which are automatic and based on techniques of adaptation and correspondence, were implemented. Carried out experiments show the encouraging results of the main approaches of the literature.
Les effets de l'equilibre travail/famille sur la satisfaction au travail et l'intention de depart des cadres une investigation du role moderateur du sentiment d'efficacite personnelle
Year: 2015

Nous nous interessons aux relations entre l'equilibre travail famille, le sentiment d'efficacite personnelle, la satisfaction au travail, l'implication organisationnelle et l'intention de depart. Une etude par questionnaires a ete realisee aupres d'un echantillon de 232 cadres de PME du bassin lorrain. Les resultats de l'analyse statistique montrent, d'une part, que le conflit travail famille en particulier lie au stress est associe negativement a la satisfaction au travail et d'autre part, que le sentiment d'efficacite personnelle modere de facon significative les effets negatifs du conflit travail/famille sur la satisfaction au travail. L'investigation plus approfondie du sentiment d'efficacite personnelle (SEP) fait apparaitre deux dimensions. Le sentiment d'efficacite personnelle de son travail est l'une de ces composantes. La retroaction percue d'auto efficacite (RPAE) est l'autre composante du SEP. Nous definissons la RPAE comme la perception d'un individu de la facon dont sa hierarchie juge son travail. Les resultats de cette recherche attestent que le sentiment d'efficacite personnelle de son travail agit sur le conflit travail famille lie au stress de telle sorte qu'il augmente la satisfaction au travail. En revanche, la RPAE accroit les effets negatifs du conflit travail famille lie au stress sur la satisfaction au travail. Cette these fournit des explications aux effets contraires constates et propose des recommandations pour le management des ressources humaines.
Appearance of a Robot Influences Causal Relationship between Touch Sensation and the Personality Impression
Venue: HAI
Year: 2017

Personality impressions of robots have been regarded as one of the crucial factors in human robot interaction. To design the personality impressions, we should know how the visual, auditory, and tactile impressions determine the personality impressions. In this study, we investigated the relationships between touch sensations and personality impressions with a child type android robot in two conditions where 40 Japanese participants touched a part of the robot with different appearance of the face. Factor and path analyses were conducted on the evaluation scores of the sensations and impressions provided by the participants. As a result, two significant positive causal relationships (p 0.001) were found between the Preference and Resilience touch sensations, and the Likability and Capability personality impressions, respectively, in both robot conditions. On the other hand, several other causal relationships were found only in one condition. This suggests that there are appearance dependent and appearance independent relationships between touch sensations and personality impressions.
LC HRMS characterization of the skin pigmentation and sexual enhancers melanotan II and bremelanotide sold on the black market of PIEDs.
Venue: Drug testing and analysis
Year: 2020

The spread of Performance and Image Enhancing Drugs (PIEDs) often requires forensic toxicology laboratories to identify unknown compounds without reference standards. We characterized the PIEDs melanotan II and bremelanotide, not legally marketed, in eight unknown samples confiscated by police together with anabolic steroids, hormone modulators, sexual enhancers and stimulants, intended for the black market of bodybuilders, using liquid chromatography high resolution/high accuracy Orbitrap mass spectrometry (LC HRMS) The characterization was carried out by the accurate mass measurements of MH+ ionic species, the study of their isotopic patterns and the associated relative isotopic abundance (RIA) values, as well as the accurate mass measurements of collision induced product ions obtained in fragmentation experiments. LC HRMS confirmed itself as a powerful analytical tool to elucidate the elemental composition and structural characteristics of unknown compounds.
Assessing Learners' Perceptions of Graduate Employability
Year: 2020

The rapid advancement of technology, including the internet of things (IoT) industry 4.0, and smart cities, revealed an excess need for career ready graduates. It is expected that a career ready graduate is technically competent and possess professional skills acquired via the experiential learning incorporated into the curriculum. But the gap exists with the learners understanding of requirements and opportunities associated with graduate employability. In this research, we focus on evaluating the learners' experiences, expectations, and perceptions of graduate employability in an engineering curriculum. In this research, the interpretations of students on the graduate employability and the extent of influence that exists based on the learning outcomes of the graduate course are examined. The gaps between the academic environment and graduate employability awareness are highlighted. Later, a national language processing based sentiment analyzer is used to evaluate the student's perceptions. Results from the analysis portrayed that the different levels of expectation and experiences that prevailed in the graduate course based on the conceptual idea of graduate employability need substantial focus in future curriculum development.
A closer look into the diseased brain: discovering the ultrastructure of astrocytes in the Alzheimer's model
Year: 2019

Astrocytes are highly complex cells that are crucial in the maintenance of brain function. Their morphology is closely tied with their major role in supporting neurons by providing nutrients, buffering of ions and neurotransmitters, and controlling synapse function. Recently, astrocytes have been implicated to play a major role in neurodegenerative disorders such as Alzheimer's disease (AD) Much research is focused on the functional aspect of astrocytes in the AD brain, but the morphological changes these cells undergo during AD is profound and not well understood. To better understand the morphology of astrocytes in both healthy and AD mice, we looked at both ultrastructure and topographical features in astrocytes (including subcellular organelles and metabolic substrates) of mice from the double transgenic APP/PS1 background. We used focused ion beam serial electron microscopy (FIB SEM) to image an 8 10mm block of tissue from layer 2/3 of the barrel cortex. These images were first analysed on ImageJ using the TrakEM2 plugin which allows for 2D manual tracing of astrocyte features. The traced images were then transformed into a 3D structure using Blender. Quantitative data was acquired through MATLAB 3D volumetric image processing and novel image analysis using python language. With these tools, we were able to measure curvature, thickness, and surface to volume ratio of the AD astrocyte and compared these measurements with a healthy control. In order to observe changes in intracellular features such as organelles and metabolic substrates, machine learning is being implemented using Ilastik. Ilastik's Pixel Classification can identify unique objects within 2D images and perform automated tracing. We propose using Ilastik to successfully identify mitochondria and glycogen granules. Using this data, we can identify morphological changes in mitochondria (energy producing organelle) and alterations in glycogen granule (energy substrate) distribution. The data provided by these imaging techniques provide an important structural framework for understanding how astrocyte morphology is changed during AD and how this may relate to both normal and abnormal brain function.
Data Driven Control for Relative Degree Systems via Iterative Learning
Venue: IEEE Transactions on Neural Networks
Year: 2011

Iterative learning control (ILC) is a kind of effective data driven method that is developed based on online and/or offline input/output data. The main purpose of this paper is to supply a unified 2 D analysis approach for both continuous time and discrete time ILC systems with relative degree. It is shown that the 2 D Roesser system framework can be established for general ILC systems regardless of relative degree, under which convergence conditions can be provided to guarantee both asymptotic stability and monotonic convergence of the ILC processes. In particular, conditions for the monotonic convergence of ILC can be given in terms of linear matrix inequalities, and formulas for the updating law can be derived simultaneously. Simulation results are presented to illustrate the effectiveness of ILC determined through the 2 D design approach in dealing with the higher order relative degree problem of ILC systems, as well as the robustness of such ILC against uncertainties.