nils-herrmann/clean_scirepeval huggingface dataset:
Port Market Segmentation Based on Wilson Model
Year: 2009

Port is an important component of the transportation system, faulty port planning will lead to giant resource waste and irretrievable economic loss. Before port's construction, it should define the port market scale which is the foundation for a port in its development and survival from drastic competition. The analysis of port market scale is essential prerequisite and special requirement to a port planning. It is directly related to the success of a port plan on how to make quantitative analysis on port market with scientific theory, model and method and how to determine the reasonable scale of port market in the process of port planning and construction. This paper is an attempt to study these issues, in order to improve the scientific and rationality of the present port market segmentation. The definition of port market is described and main influencing factors of port market segmentation include market factor, port factor and the connection fact are listed at first in this paper. The authors make comparison among the common methods of present port market segmentation such as administrative division method, pivot and ligament method, membership degree method, location quotient method, Wilson Model and so on. On this basis, Wilson Model is mainly applied. Then the authors empirically make analysis on market segmentation methods according to actual situation of the adjacent Tianjin port and Qingdao port. Based on the analysis and study, the Wilson Model can reflect more approximate to the practical market segmentation, which makes the planning of port development more objective and more scientific.
Increasing within field diversity to foster agro ecosystem services and cope with climate change
Year: 2015

During the 20th century, agriculture experienced major gains in productivity via homogenization and intensive use of inputs. This model is jeopardized by the awareness of rapid global change, in particular climate change, and the need for greater agricultural sustainability. Crop genetic diversity should play an essential role in this context, as it could promote various ecosystem services essential for adaptation to climate change. Increasing within field diversity through the use of cultivar mixtures is a timely option, testified by with some significant "success stories" in the past. Despite the abundant bibliography demonstrating the interest of intra specific crop diversity, cultivar mixtures are poorly developed worldwide. In this context, the WHEATAMIX project studies the interest of mixing wheat genotypes to reinforce the sustainability and resilience of agricultural production and the provision of various ecosystem services. Based on a highly multidisciplinary approach we analyze the interactions among genotypes and with the environment, to develop new methods for breeding and/or combining wheat varieties to obtain performing blends in a global change context. Complementary experimental approaches are being deployed: i) a main diversity experiment (Eighty eight wheat plots with 1, 2, 4 or 8 varieties, under low input) to quantify over several years the variety diversity effects on ecosystem services; ii) replicates of the same diversity experiment in 4 sites across France, to test the robustness of wheat diversity effects under a wide range of soil and climate conditions; iii) a network of 50 farms, encompassing agro climatic variability in the Paris basin, to compare the ecological and techno economic performance of blends with that of monocultures, using direct links with key stakeholders. The first results provide a comprehensive characterization of the multiple ecosystem services provided by genetic diversity (yield stability; regulation of foliar diseases; insect pest and weed biocontrol; maintenance of soil fertility; biodiversity conservation) and the trade offs and synergies that exist among ecosystem services. The result also guide the selection of variety mixtures and corresponding bundles of functional traits that can deliver particular groups of services to tackle the climate change issue.
El mercado de Estados Unidos constituye una oportunidad de negocio para incrementar la exportacion de esparrago fresco desde Paijan: 2017 2021.
Year: 2016

RESUMEN El presente informe de tesis consistio en realizar un analisis en las exportaciones nacional, en La libertad y en la zona de Paijan para dar una ilustracion del comportamiento historico y actual del comportamiento del esparrago peruano en el mercado internacional, tambien se realizo una proyeccion para tener una imagen de como sera el comportamiento futuro del esparrago para poder tener una idea para incursionar en el negocio del esparrago; finalmente se realizo un estudio economico y financiero de la Red de organizaciones Productivas Agricolas de Paijan, demostrando una viabilidad favorable al inversor que desee poner su dinero en el sector del esparraguero. A lo largo del informe se encontro al esparrago peruano como el principal proveedor de Estados Unidos, siendo este mercado como el principal destino para incrementar las exportaciones del producto, por su sabor y propiedades que tiene el esparrago. El analisis que se realizo a estados unidos demostro el porque es el principal destino para los esparragos y la influencia que tiene los consumidores para que el producto se encuentre con mayor expectativa de consumo en el mercado americano. La Libertad se encuentra como lider nacional en la exportacion del esparrago por la ventaja que tiene al tener cosechas durante todo el ano, y que tiene proyectado en incrementar las hectareas de cultivo, beneficiando considerablemente a este sector y dando nuevas oportunidades de inversion para lograr el objetivo de incremento de las exportaciones. Teniendo en cuenta lo mencionado anteriormente, este estudio demostro que el esparrago es un sector viable para la inversion con fin de incrementar la produccion, la exportacion y en consecuencia los ingresos de todos los allegados a esta area, y de manera directa a la Red de Organizaciones Productivas Agricolas de Paijan.
Bilingual Speech Recognition based on Deep Neural Networks and Directed Acyclic Word Graphs
Venue: 2019 International Conference on Data Mining Workshops (ICDMW)
Year: 2019

This study explores the use of Bilingual speech recognition system for Indian languages along with Kaldi toolkit and Directed Acyclic Word Graphs as an innovative idea. When using a Large Vocabulary Continuous Speech Recognition (LVCSR) the crucial task is to establish a relationship between sub word acoustic units across the particular languages. It forms the core for building automatic speech recognition system for multiple languages. Deep neural networks were employed with 2 hidden layers for acoustic modeling to create a Bidirectional Long Short Term Memory Networks (BLSTM) model. For bilingual speech recognition, standard Mel Frequency Cepstral Coefficients (MFCC) generated on audio along with Gaussian Mixture Model/Hidden Markov Model (GMM/HMM) were used to align the reference text. The final language models implemented were statistically pruned trigram models. The study aimed at building a refined Telugu English bilingual speech recognition system by using a Directed Acyclic Word Graph (DAWG) to map phonetically similar words in both the languages.
Nitrogen mineralization, immobilization turnover, heterotrophic nitrification, and microbial groups in acid forest soils of subtropical China
Venue: Biology and Fertility of Soils
Year: 2012

An in situ 15N tracing study was conducted to investigate the characteristics of soil mineral nitrogen (N) production and conservation in acid forest soils of subtropical China. The six experimental soils were strongly acidic (pH ranged from 4.1 to 4.7) except for one soil, from an orange orchard which had a higher pH (5.7) due to lime application. Total gross N mineralization rates ranged from 2.30 to 9.20 mg N g 1 soil day 1, and immobilization of NH4+ increased logarithmically with the increase in total gross N mineralization. Oxidation rates of ammonium (NH4+ in the acidic forest soils (pH from 4.1 to 4.7) were low, ranging from 0.12 to 0.65 mg N g 1 day 1. The oxidation of organic N, that is the heterotrophic nitrification, was an important nitrate (NO3 production process and approximately 17.2 to 74.9 of total NO3 production was immobilized by soil microbes in these acidic forest soils. The multiple regression analysis showed that the total gross N mineralization rate decreased significantly with the increase in the soil C/N ratio (R2 0.71, p 0.05) and heterotrophic nitrification rate increased significantly with the increase in soil C/N ratio (R2 0.92, p 0.01) Significant positive correlations were also observed between the NO3 immobilization rate (p 0.05) heterotrophic nitrification rate (p 0.01) and fungal biomass. The soil C/N ratio, which depends on dominant vegetation and composition of soil microbial communities, can be an effective predictor of soil mineral N production and conservation in the acid forest soils of subtropical China. Heterotrophic nitrification and immobilization of NO3 may be important N transformation pathways affecting ecosystem productivity.
A Systematic Review of Circulating Tumor Cells in Renal Cell Carcinoma
Year: 2021

Renal cell carcinoma (RCC) is one of the most usual kidney's tumors. The improvement of non invasive biomarkers will make it feasible to investigate whose have high risk of recurrence after radical or partial nephrectomy and will expand the valuation of tumor response to several treatment strategies. In this perspective, liquid biopsy suggests a talented perception for cancer diagnosis and monitoring, with several benefits versus traditional RCC diagnostic processes and can be taken into account of the present RCC diagnosis and controlling strategies.  In this systematic review, we considered both CTCs count and molecular markers in RCC patient management. A systematic search on several databases like PubMed, Scopus, Embase, and Web of Science was directed which led to the final 24 studies considering the impact of CTCs on both diagnosis and prognosis of RCC.  Several primary studies consider the CTCs quantitation as the tumor representing components that are based on immunomagnetic separation procedure. The magnetic cell sorting (MACS) technique, cell search, Tapered slit filter (photosensitive polymer based microfilter) CELLection(tm) Dynabeads(r) coated with the monoclonal antibodies, and ISET(r) Isolation by Size of Tumor cells. If CTCs wanted to be recruited for the prognosis of RCC and progression free survival (PFS) it is better to check by gene expression profile through quantitative polymerase chain reaction analysis (Real Time PCR) or in situ hybridization of CTC's RNA molecules.  CTCs detection as the main liquid biopsy component has an excessive clinical impact on cancer management. Nevertheless, usual methods have some limitations when directing for the recognition of circulating tumor cells (CTCs) with high efficiency and low cost. Some CTCs molecular markers and gene expression profiling of CTCs should be considered for RCC prognosis.
Transfer Sparse Coding for Robust Image Representation
Venue: 2013 IEEE Conference on Computer Vision and Pattern Recognition
Year: 2013

Sparse coding learns a set of basis functions such that each input signal can be well approximated by a linear combination of just a few of the bases. It has attracted increasing interest due to its state of the art performance in BoW based image representation. However, when labeled and unlabeled images are sampled from different distributions, they may be quantized into different visual words of the codebook and encoded with different representations, which may severely degrade classification performance. In this paper, we propose a Transfer Sparse Coding (TSC) approach to construct robust sparse representations for classifying cross distribution images accurately. Specifically, we aim to minimize the distribution divergence between the labeled and unlabeled images, and incorporate this criterion into the objective function of sparse coding to make the new representations robust to the distribution difference. Experiments show that TSC can significantly outperform state of the art methods on three types of computer vision datasets.
CLOUD BASED EXPERT SYSTEM FOR SYNTHESIS AND EVOLUTIONARY OPTIMIZATION OF PLANAR LINKAGES
Year: 2018

The present paper introduces a cloud based expert system for synthesis and evolutionary optimization of planar linkages. The kinematic structure of the linkage is composed by the modular approach based on Assur's groups. The dyads are represented as functional blocks with input and output variables. The applied approach for obtaining the geometrical relationships between the input and the output variables of the dyads is based on the use of homogeneous transformation matrices. The developed software system allows a dimensional synthesis of planar linkages by using genetic optimization algorithms. One feature is remote creation of the models of genetic algorithms as well as the receiving of the results by means of a user friendly interface. By exploiting the application, the user can produce and edit the initial information about the synthesized or optimized linkage; thus he can receive the calculation results as a web page and/or as MS Excel file. An additional mutation of the best chromosome genes by scanning of every gene within its searching space improves the optimal solution. The analyzed numerical case studies show the applicability of the developed software system for mechanism analysis, synthesis and optimization. Because the number of genes is not limited, the linkages with a very big number of design variables can be synthesized by exploiting the developed approach.
The Hazards of Expert Control: Chief Risk Officers and Risky Derivatives
Year: 2017

At the turn of the century, regulators introduced policies to control bank risk taking. Many banks appointed chief risk officers (CROs) yet bank holdings of new, complex, and untested financial derivatives subsequently soared. Why did banks expand use of new derivatives? We suggest that CROs encouraged the rise of new derivatives in two ways. First, we build on institutional arguments about the expert construction of compliance, suggesting that risk experts arrived with an agenda of maximizing risk adjusted returns, which led them to favor the derivatives. Second, we build on moral licensing arguments to suggest that bank appointment of CROs induced "organizational licensing," leading trading desk managers to reduce policing of their own risky behavior. We further argue that CEOs and fund managers bolstered or restrained derivatives use depending on their financial interests. We predict that CEOs favored new derivatives when their compensation rewarded risk taking, but that both CEOs and fund managers opposed new derivatives when they held large illiquid stakes in banks. We test these predictions using data on derivatives holdings of 157 large banks between 1995 and 2010.
Do beliefs make a difference? Exploring how principal self efficacy and instructional leadership impact teacher efficacy and commitment in Iran
Year: 2018

Although the knowledge base on instructional leadership is quite well developed in Western societies empirical studies have only recently begun to emerge in the developing societies of Asia, Africa and Latin America. The current study was undertaken to fill a gap in leadership research in Iran, where there have been no prior studies of principal instructional leadership (PIL) The current study sought to understand the relationship between principal self efficacy, instructional leadership, teacher collective efficacy and teacher organizational commitment in Iranian primary schools. Survey data collected from 111 principals and 345 teachers were analyzed using confirmatory factor analysis and structural equation modeling (SEM) The results confirmed the proposed conceptual model affirming the impact of both principal and teacher beliefs (i.e. self efficacy) on their behaviors and on teacher commitment. More specifically, the SEM results identified robust, positive and statistically significant relationships among the constructs. These findings extend prior research by revealing how leader self efficacy beliefs and instructional leadership behaviors interact to shape collective teacher efficacy and commitment. This research makes a distinct contribution not only to school leadership research in Iran, but also to the growing body of research on the effects of PIL in non Western, developing societies.
Mobile robot SLAM methods improved for adapting to search and rescue environments
Venue: 2017 Chinese Automation Congress (CAC)
Year: 2017

Robotic simultaneous localization and mapping (SLAM) confronts extreme challenge in collapsed, cluttered, GPS signal unreliable environments of search and rescue (SAR) Our improved SLAM methods aim to mobile robot performing SAR requirements which comprise the significant objects identification, loop closure perceiving, exploration area coverage, and the other performances. We developed efficient SLAM methods adapting to SAR cluttered environments, which are listed as follows: the 3 D mapping reconstruction extracts the features of significant object; the hierarchical perception driven approach dramatically improves the loops closure performance; the local wireless Ad hoc network deployment addressed the signal absence and unreliable of harsh environment; robot arm perceived and identified the objects of interest. The fusion of these efficient strategies forms the SAR SLAM methods that adapt to the cluttered and harsh condition. In this paper, we evaluate the improved SAR SLAM qualitatively on available data measurements. The simulations and experimental results demonstrate that the improved SLAM performances methods are obviously adapted to SAR environment.
Indigo Fruits Ingredient, Aucubin, Protects against LPS Induced Cardiac Dysfunction in Mice
Venue: The Journal of Pharmacology and Experimental Therapeutics
Year: 2019

Aucubin (AUB) which is extracted from Eucommia ulmoides Oliver seeds, has been found to possess anti inflammatory and antiapoptotic properties. Recent studies have indicated that inflammation, oxidative stress, and apoptosis are involved in the pathophysiology of lipopolysaccharide (LPS) induced cardiac dysfunction. Our study aimed to investigate the effect of AUB on LPS induced acute cardiac injury. Male C57BL/6 mice were injected with LPS (one 6 mg/kg injection) to induce cardiac dysfunction without or with AUB pretreatment (20 or 80 mg/kg per day) for 1 week. We found that AUB ameliorated cardiac dysfunction, inflammation, oxidative stress, and apoptosis induced by LPS stimulation. Mechanistically, AUB inhibited LPS induced oxidative stress by decreasing reactive oxygen species and thioredoxin interaction protein (TXNIP) levels. Moreover, AUB suppressed LPS induced inflammation and apoptosis by reducing nucleotide binding oligomerization domain like receptor family pyrin domain containing 3 (NLRP3)/apoptosis associated speck like protein containing a caspase recruitment domain (ASC)/caspase 1 inflammasome formation. Overexpression of NLRP3 in cardiomyocytes attenuated the protective effects of AUB. Interestingly, NLRP3 deficiency ameliorated cardiac function and reduced the inflammatory response and oxidative stress after LPS insult in mice, whereas AUB could not further prevent LPS induced cardiac dysfunction in NLRP3 deficient mice. In summary, AUB exerts a protective effect against LPS induced inflammation, oxidative stress, and apoptosis in vivo and in vitro by regulating the TXNIP pathway and inactivating the NLRP3/ASC/caspase 1 inflammasome. Hence, AUB may be a promising agent against LPS induced cardiac dysfunction.  Aucubin exerts a protective effect against lipopolysaccharide induced cardiac dysfunction by regulating nucleotide binding oligomerization domain like receptor family pyrin domain containing 3 inflammasome.
A "ma vontade antropologica" e as cotas para negros nas universidades (ou usos e abusos da antropologia na pesquisa educacional II: quando os antropologos desaprendem*
Year: 2013

Procura se discutir a participacao de antropologos no debate sobre as cotas para negros nas universidades. Toma se como ponto de partida o posicionamento da Comissao de Relacoes Etnicas e Raciais (CRER) da Associacao Brasileira de Antropologia (ABA) em maio de 2004, externando a "preocupacao" quanto a forma como o sistema de cotas estaria, na pratica, sendo implementado na Universidade de Brasilia (UnB) Do mesmo modo, sao feitas referencias a manifestacoes de pesquisadores sobre a questao, agrupadas na Revista Horizontes Antropologicos em 2005, que alimentam posturas contrarias a adocao dessa politica de acao afirmativa no ensino superior. Argumenta se que ha incoerencias nesses posicionamentos, capazes de negar compromissos da antropologia e que fazem ouvidos moucos ao alerta weberiano, que convida a cautela de separar as dimensoes politica e cientifica nas reflexoes academicas. No limite, essa "ma vontade antropologica" coloca se na contramao de estudos realizados na interface com a educacao e nao reconhece os negros como sujeitos da historia, protagonistas dessa opcao e por ela responsaveis.
Neural Text Summarization: A Critical Evaluation
Venue: EMNLP/IJCNLP
Year: 2019

Text summarization aims at compressing long documents into a shorter form that conveys the most important parts of the original document. Despite increased interest in the community and notable research effort, progress on benchmark datasets has stagnated. We critically evaluate key ingredients of the current research setup: datasets, evaluation metrics, and models, and highlight three primary shortcomings: 1) automatically collected datasets leave the task underconstrained and may contain noise detrimental to training and evaluation, 2) current evaluation protocol is weakly correlated with human judgment and does not account for important characteristics such as factual correctness, 3) models overfit to layout biases of current datasets and offer limited diversity in their outputs.
Vrijednosti serumskih lipida u bolesnika s akutnim infarktom miokarda lijecenih u kateterizacijskom laboratoriju Opce bolnice Zadar 2015. 2017. godine
Year: 2019

U ovom diplomskom radu pod naslovom "Vrijednosti serumskih lipida u akutnom infarktu miokarda lijecenih u kateterizacijskom laboratoriju Opce boln
Refining the theory of basic individual values.
Venue: Journal of personality and social psychology
Year: 2012

We propose a refined theory of basic individual values intended to provide greater heuristic and explanatory power than the original theory of 10 values (Schwartz, 1992) The refined theory more accurately expresses the central assumption of the original theory that research has largely ignored: Values form a circular motivational continuum. The theory defines and orders 19 values on the continuum based on their compatible and conflicting motivations, expression of self protection versus growth, and personal versus social focus. We assess the theory with a new instrument in 15 samples from 10 countries (N 6,059) Confirmatory factor and multidimensional scaling analyses support discrimination of the 19 values, confirming the refined theory. Multidimensional scaling analyses largely support the predicted motivational order of the values. Analyses of predictive validity demonstrate that the refined values theory provides greater and more precise insight into the value underpinnings of beliefs. Each value correlates uniquely with external variables.