nils-herrmann/clean_scirepeval huggingface dataset:
Investigation of gas phase absorption spectral similarity for stable isotopically labeled compounds in the 125 240nm wavelength range.
Venue: Talanta
Year: 2018

Stable isotopically labeled internal standards are commonly incorporated in methods for trace analysis that utilize mass spectrometric detection. They closely mimic the physicochemical properties of the analyte, but their signal is easily differentiable based on a change in molecular mass. To investigate the potential to transfer methods incorporating such internal standards for analysis by vacuum ultraviolet detection, a study was conducted to compare the spectral shape (from 125 to 240nm) of stable isotopically labeled compounds with their non labeled counterparts. Gas chromatography vacuum ultraviolet spectroscopic analysis was performed for a series of benzene isotopologues, as well as for clinically and environmentally relevant standard compounds and their deuterated counterparts. The absorption characteristics of the benzene isotopologues were evaluated based on similarity (normalized spectra) as well as on their magnitude of absorption. In general, very minor differences in absorption spectra were observed; however, increasing degree of deuteration did generally increase the spectral difference between labeled and non labeled analytes. Sum of squared residuals were used as quantitative measures to assess spectral similarity (and dissimilarity) Theoretical computation of absorption spectra for benzene using time dependent density functional theory was also examined; though, further work is needed in this area to extend the analysis to isotopologue analysis.
Marginal Images: Youth and Critical Subjectivities from Art as a Resource
Year: 2019

The aim of the chapter is to show how art practices may allow marginalized youth to develop reflexivity, autonomy, and subjectivity regarding their own social situation, as well as an alternative conception of citizenship. The authors base their arguments on ethnographic fieldwork carried out as part of the project CETOJ (Technological Centre of Youth Organisations) which took place in a marginalized neighborhood in Quito (Ecuador) The ethnographic research regarded young people as particular social actors, who create interconnected "worlds," with their own rules and morality, which questions the reductionist definition of "the youth" by state institutions and NGOs. The research shows that street art practices, particularly graffiti and photography in the case of the CETOJ project, allow young people most of them gang members to take a critical distance from their experiences of exclusion and violence and to understand these experiences from a complex perspective. Furthermore, street art practices constitute modes of appropriation of urban spaces that question the citizenship conception of state institutions.
Novel targeted therapies of T cell lymphomas
Venue: Journal of Hematology Oncology
Year: 2020

T cell lymphomas (TCL) comprise a heterogeneous group of non Hodgkin lymphomas (NHL) that often present at an advanced stage at the time of diagnosis and that most commonly have an aggressive clinical course. Treatment in the front line setting is most often cyclophosphamide, doxorubicin, vincristine, and prednisone (CHOP) or CHOP like regimens, which are effective in B cell lymphomas, but in TCL are associated with a high failure rate and frequent relapses. Furthermore, in contrast to B cell NHL, in which substantial clinical progress has been made with the introduction of monoclonal antibodies, no comparable advances have been seen in TCL. To change this situation and improve the prognosis in TCL, new gene targeted therapies must be developed. This is now possible due to enormous progress that has been made in the last years in the understanding of the biology and molecular pathogenesis of TCL, which enables the implementation of the research findings in clinical practice. In this review, we present new therapies and current clinical and preclinical trials on targeted treatments for TCL using histone deacetylase inhibitors (HDACi) antibodies, chimeric antigen receptor T cells (CARTs) phosphatidylinositol 3 kinase inhibitors (PI3Ki) anaplastic lymphoma kinase inhibitors (ALKi) and antibiotics, used alone or in combinations. The recent clinical success of ALKi and conjugated anti CD30 antibody (brentuximab vedotin) suggests that novel therapies for TCL can significantly improve outcomes when properly targeted.
Water Quality Assessment in Terms of Water Quality Index
Year: 2020

Water quality index (WQI) is valuable and unique rating to depict the overall water quality status in a single term that is helpful for the selection of appropriate treatment technique to meet the concerned issues. However, WQI depicts the composite influence of different water quality parameters and communicates water quality information to the public and legislative decision makers. In spite of absence of a globally accepted composite index of water quality, some countries have used and are using aggregated water quality data in the development of water quality indices. Attempts have been made to review the WQI criteria for the appropriateness of drinking water sources. Besides, the present article also highlights and draws attention towards the development of a new and globally accepted "Water Quality Index" in a simplified format, which may be used at large and could represent the reliable picture of water quality.
Reabilitacao aquatica na intervencao da dor em pessoas com discopatia degenerativa
Year: 2012

O presente estudo tem como objetivo verificar nas pessoas com discopatia degenerativa se o programa de estimulacao funcional corporal aquatica promove a reducao da dor. A natureza da fonte ilustra se como uma pesquisa de campo, sendo constituido para o presente estudo uma amostra composta por n=30 participantes iniciantes da modalidade de Reabilitacao Aquatica matriculados na Associacao de Centro de Treinamento de Educacao Fisica Especial (CETEFE) situada no Brasil Brasilia DF. Foi utilizada uma Escala Visual Analogica (EVA) reconhecida pelo Conselho Nacional de Medicina, que consiste em aferir a intensidade da dor no paciente, com computacao dos dados na indicacao dos dados assinalados pelos participantes na escala de referencia. A partir dos resultados, foi verificado que a continuidade da reabilitacao aquatica e fundamental para o resgate funcional do paciente, a diminuicao da dor com transferencia de intensa para moderada pode apresentar um ganho representativo para o desenvolvimento das atividades de vida pratica, gerando no individuo maior condicoes de participacao social com qualidade de vida. Foi possivel concluir que reabilitacao aquatica, direcionada para o quadro de discopatia degerativa apresentou predominancia na diminuicao da dor, confirmando os estudos sobre discopatia degerativa que, a intervencao da reabilitacao aquatica promove a diminuicao da dor.
Distant Supervision for Relation Extraction via Piecewise Convolutional Neural Networks
Venue: EMNLP
Year: 2015

Two problems arise when using distant supervision for relation extraction. First, in this method, an already existing knowledge base is heuristically aligned to texts, and the alignment results are treated as labeled data. However, the heuristic alignment can fail, resulting in wrong label problem. In addition, in previous approaches, statistical models have typically been applied to ad hoc features. The noise that originates from the feature extraction process can cause poor performance. In this paper, we propose a novel model dubbed the Piecewise Convolutional Neural Networks (PCNNs) with multi instance learning to address these two problems. To solve the first problem, distant supervised relation extraction is treated as a multi instance problem in which the uncertainty of instance labels is taken into account. To address the latter problem, we avoid feature engineering and instead adopt convolutional architecture with piecewise max pooling to automatically learn relevant features. Experiments show that our method is effective and outperforms several competitive baseline methods.
Big Data Analytics: A Trading Strategy of NSE Stocks Using Bollinger Bands Analysis
Year: 2019

The availability of huge distributed computing power using frameworks like Hadoop and Spark has facilitated algorithmic trading employing technical analysis of Big Data. We used the conventional Bollinger Bands set at two standard deviations based on a band of moving average over 20 minute by minute price values. The Nifty 50, a portfolio of blue chip companies, is a stock index of National Stock Exchange (NSE) of India reflecting the overall market sentiment. In this work, we analyze the intraday trading strategy employing the concept of Bollinger Bands to identify stocks that generates maximum profit. We have also examined the profits generated over one trading year. The tick by tick stock market data has been sourced from the NSE and was purchased by Amrita School of Business. The tick by tick data being typically Big Data was converted to a minute data on a distributed Spark platform prior to the analysis.
Penile Lichen Sclerosus Treated with 1927 nm Thulium Fiber Laser and Photodynamic Therapy: A New Possible Therapeutic Approach.
Venue: Photomedicine and laser surgery
Year: 2018

We treated two patients with recalcitrant lichen sclerosus (LS) of the penis with a combination of 1927 nm thulium fiber laser and methyl aminolevulinate (MAL) photodynamic therapy (PDT) BACKGROUND DATA Therapy of LS is based on topical potent steroids, emollients, and topical calcineurin inhibitors. Circumcision is effective, but not always accepted. PDT represents a valid therapeutic option in refractory cases, but there are no reports about the association with 1927 nm thulium laser in the treatment of this pathology.  We used to treat the affected areas with a combination of 1927 nm thulium fiber laser and MAL PDT in the same section. The same protocol was repeated after 1 month.  An improvement of lesions after the first treatment and complete cleaning after 3 months of therapy were noted. Results were maintained in the follow up after 2 years.  Association with 1927 nm thulium laser was able to amplify the effectiveness of PDT and to promote tissue remodeling. Despite the positive response to our case, clinical studies are lacking and further analysis could be performed on a wider population to better define correct dosage and safety profile. Further, it is necessary to compare this procedure with other treatments to establish the real effectiveness.
A Case Study of Factors Affecting the Performance of the Hotel Industry of Chiang Mai in Thailand and the Impact of Covid 19: Taking De Chai Hotel Group as an Example
Year: 2020

Tourism has made a significant contribution to Thailand's economy, bringing considerable tourism revenue to Thailand every year, and driving the sustained growth of related industries This study focused on the factors that affect the performance of the hotel industry of Chiang Mai in Thailand, taking De Chai Hotel Group, a local large scale hotel group, as a case study, and discussed the impact of COVID 19 on it and its countermeasures This study also put forward relevant suggestions as a reference for the hotel industry to formulate management strategies and future development
Customer Benefit as a Determinant of Repeat Purchasing
Year: 2017

Repeat purchasing is the result of certain constellations of the customer benefit. To develop an understanding of this concept, such constellations must be differentiated. The bonding plays a key role as a behavior determinant. The customer's repeat purchasing behavior can be differentiated in this sense by whether it would occur without the influence of such a bonding or whether the bonding was decisive. Repeat purchasing in which bonding is not a factor is founded either on the effect of the core offering or on the effect of the ancillary services. Bonding itself is attributed to economic causes or to the effect of rather psychological causes such as trust and commitment.
IMPROVING TIME TO FAILURE PREDICTIONS FOR WATER DISTRIBUTION SYSTEMS USING GRADIENT BOOSTING ALGORITHM
Year: 2018

This paper advances the research on pipe failure modeling by applying a state of the art gradient boosting machine learning algorithm (xgboost) to a large ductile iron pipe failure dataset. The model was designed to predict the time to next failure for individual ductile iron pipes. The overall root mean square error for the xgboost model was 5.81, a 1.2% improvement over the Random Forest model and 25.9 improvement over the Artificial Neural Network model. The results from this analysis suggests that industry should consider adopting the xgboost algorithm when building machine learning models that predict time to pipe failure.
Named Entity Recognition on Arabic English Code Mixed Data
Venue: 2019 IEEE 13th International Conference on Semantic Computing (ICSC)
Year: 2019

As a result of globalization and better quality of education, a significant percentage of the population in Arab countries have become bilingual/multilingual. This has raised to the frequency of code switching and code mixing among Arabs in daily communication. Consequently, huge amount of Code Mixed (CM) content can be found on different social media platforms. Such data could be analyzed and used in different Natural Language Processing (NLP) tasks to tackle the challenges emerging due to this multilingual phenomenon. Named Entity Recognition (NER) is one of the major tasks for several NLP systems. It is the process of identifying named entities in text. However, there is a lack of annotated CM data and resources for such task. This work aims at collecting and building the first annotated CM Arabic English corpus for NER. Furthermore, we constructed a baseline NER system using deep neural networks and word embedding for Arabic English CM text and enhanced it using a pooling technique.
The Motivational Effects of Diminished Self Esteem for Employees Who Experience Abusive Supervision
Year: 2017

This research considers two theoretical perspectives on employees' motivation associated with diminished self esteem from abusive supervision. The self defense view of diminished self esteem suggests that abusive supervision motivates destructive behavior in an attempt to reassert personal control and protect victims' self image. The self presentational view of diminished self esteem suggests abusive supervision motivates behavior that attempts to signal fit with and value to the workgroup and organization. On the basis of these two theoretical perspectives, we examine how employees' diminished self esteem from abusive supervision can motivate destructive work behavior (i.e. supervisor directed deviance, organizational deviance) and self presentational behavior (i.e. putting on a facade, ingratiation) Additionally, employees' turnover intentions, which are an indicator of employees' psychological detachment from the organization, are considered a moderator of the effects of abusive supervision on diminished self esteem and associated behavior such that high turnover intentions attenuate the effects. Results of two field studies and a daily diary study support the hypothesized model and show that abusive supervision indirectly influences employees' workplace deviance and self presentational behavior via diminished self esteem. As predicted, the effects are stronger for employees with lower versus higher turnover intentions.
Sentiment analysis of Twitter data during critical events through Bayesian networks classifiers
Venue: Future Gener. Comput. Syst.
Year: 2020

Sentiment analysis through machine learning using Twitter data has become a popular topic in recent years. Here we address the problem of sentiment analysis during critical events such as natural disasters or social movements. We consider Bayesian network classifiers to perform sentiment analysis on two datasets in Spanish: the 2010 Chilean earthquake and the 2017 Catalan independence referendum. In order to automatically control the number of edges that are supported by the training examples in the Bayesian network classifier, we adopt a Bayes factor approach for this purpose, yielding more realistic networks. The results show the effectiveness of using the Bayes factor measure as well as its competitive predictive results when compared to support vector machines and random forests, given a sufficient number of training examples. Also, the resulting networks allow to identify the relations amongst words, offering interesting qualitative information to historically and socially comprehend the main features of the event dynamics.
DTGAN: Dual Attention Generative Adversarial Networks for Text to Image Generation
Venue: 2021 International Joint Conference on Neural Networks (IJCNN)
Year: 2021

Most existing text to image generation methods adopt a multi stage modular architecture which has three significant problems: 1) Training multiple networks increases the run time and affects the convergence and stability of the generative model; 2) These approaches ignore the quality of early stage generator images; 3) Many discriminators need to be trained. To this end, we propose the Dual Attention Generative Adversarial Network (DTGAN) which can synthesize high quality and semantically consistent images only employing a single generator/discriminator pair. The proposed model introduces channel aware and pixel aware attention modules that can guide the generator to focus on text relevant channels and pixels based on the global sentence vector and to fine tune original feature maps using attention weights. Also, Conditional Adaptive Instance Layer Normalization (CAdaILN) is presented to help our attention modules flexibly control the amount of change in shape and texture by the input natural language description. Furthermore, a new type of visual loss is utilized to enhance the image resolution by ensuring vivid shape and perceptually uniform color distributions of generated images. Experimental results on benchmark datasets demonstrate the superiority of our proposed method compared to the state of the art models with a multi stage framework.
Metronomic therapy to manage the veterinary patient with cancer
Year: 2017

Cancer is a frequent problem in veterinary practice in small animals; aggre ssive strategies with several side effects are used to its control, which has stimulated research of new therapeutic options. The metronomic chemotherapy consists in regular administration of low doses of antineoplastic drugs for long periods of time. Together with its antitumor potential, it is administrated easily and has apparent reduced toxicity, showing clinical benefits within advanced diseases or geriatric and weak patients mainly by angiogenesis inhibition and antitumor immune modulation. In small animals, cyclophosphamide, chlorambucil and lomustine have been used mainly, in some cases associated with other drugs, to treat several kinds of tumors, obtaining clinical advantages and low toxicities. However, current studies are limited, and selection of most doses and intervals use to be empirical, in detriment of therapeutic efficacy. This work aims to evidence the potential use of this kind of antineoplastic chemotherapy in domestic animals, as well as the advances in comprehension of its mechanisms of action, drugs, schedules and toxic effects, trying to do a best and more aware use of this chemotherapy strategy in oncologic patients.
Hospitality and Tourism Education in the International Classroom: A Case Study
Year: 2015

This article describes a case study of a six week long international collaborative learning project using technology in hospitality and tourism classes. University students in the United States partnered with students in Mexico to better understand sustainability practices in hotels via video conferences and online group projects. The case study summarizes students' perceptions of the educational experience via observations, surveys, and student reflections. Students' experiences were primarily positive; however, communication and technological issues were present. Overall, the project produced encouraging results and recommendations are made to assist with future applications of this type of project in hospitality and tourism education.
Multi expert and multi criteria evaluation of sectoral investments for sustainable development: An integrated fuzzy AHP, VIKOR DEA methodology
Year: 2018

The 2030 agenda for sustainable development calls for a holistic approach. It needs to tackle multidimensional aspects such as poverty, inequality, inclusivity, skill development to name a few. In this paper, a multi expert multi criteria decision making approach is adopted using fuzzy AHP, VIKOR and DEA. The weights of the criteria are determined using fuzzy AHP and it is found that basic amenities is the most important (0.21) followed by environmental concern (0.18) Fuzzy VIKOR early defuzzification is used to rank the various sectors based on the importance of sustainability criteria. Science technology is ranked first followed by rural development. Considering the investment made in each sector, fuzzy AHP DEA indicates water resources, river development environment lies in the frontier efficiency region. The DEA analysis reveals that basic amenities, environment concern and governance system need to be focused upon for improving the efficiency score of science technology from 92.2% to reach the frontier line efficiency. The integrated fuzzy AHP VIKOR presents the ranking considering only the sustainability criteria while fuzzy AHP DEA highlights whether the national investment is in tune with the sustainability criteria for sustainable development.
Development of Cross Border E Commerce in the Context of Chinas Foreign Trade Strategy
Year: 2019

Since 2013, China's cross border e commerce has developed rapidly under the impetus of state policy. Under the impact of the renminbi (RMB) currency appreciation, rising labour costs and international trade protectionism, China's foreign trade has slowed down relative to its overall growth rate. However, cross border e commerce has played an important role in the stability and development of China's foreign trade that has taken place. Against this background, this paper has collated the policies relating to cross border e commerce in China in recent years and has analysed the operational modes and opportunities for the cross border e commerce industry. It also investigates the general attitude and intention of the relevant government departments towards the industry and assesses the issues for relevant government departments and enterprises of cross border e commerce industry chains.