nils-herrmann/clean_scirepeval huggingface dataset:
Rh(III) Catalyzed Direct ortho Chalcogenation of Phenols and Anilines.
Venue: The Journal of organic chemistry
Year: 2017

A highly efficient Rh(III) catalyzed direct C H chalcogenation of phenols and anilines has been achieved with the assistance of the 2 pyridyl group. The reaction features a broad substrate scope, good functional group tolerance, complete monothiolation selectivity, and easily removable directing group.
Local Deities in Conservation a Conservation Practice in Banju Nami Tok Sacred Grove in Tehri Garhwal, Uttarakhand
Year: 2012

The present study was carried out in Banju Nami Tok sacred grove situated in village Chachganda of district Tehri to describe the role of small sacred groves dedicated to local deities in conservation. The grove covers an area of less than two hectares. This grove is dominated by Quercus leucotrichophora which is the only remnant of this species around 2 few km within that vicinity. In the present study 28 plant species which includes 12 tree, 5 shrub and 10 herb species belonging to 19 families were recorded. These plant species have different economic values like medicinal, edible, timber, oil and dye yielding and are used for making furniture, constructive timber and agricultural implements. Asteraceae and Lamiaceae families represent the maximum number (3 each) of species. This grove provides different ecosystem services in the form of water, soil conservation and beautification of village.
Built in piezoelectric field improved photocatalytic performance of nanoflower like Bi2WO6 using low power white LEDs
Venue: Chinese Chemical Letters
Year: 2021

Abatract Photocatalysis technology has been proved to be a potential strategy for removal of organic dyes, however high power light sources are generally necessary to initiate photocatalytic reaction. In this work, we employed an excellent photocatalyst of Bi2WO6 with visible light harvest and meanwhile an intrinsic ferroelectricity, which realized the efficient degradation of organic dye via the synergetic photopiezocatalysis. Through coupling the illumination by a low power (9 W) LED and the ultrasonic vibration (120 W) by an ultrasonic cleaner, the nanoflower like Bi2WO6 composed of ultrathin nanosheets showed a much more enhanced photopiezocatalysis performance for purification of organic dye than the individual photocatalysis and piezocatalysis. Furthermore, the high mineralization efficiency and the good durability of the Bi2WO6 catalyst were demonstrated. The possible mechanism of photopiezocatalysis was finally proposed, where the ultrasound induced piezoelectric field in Bi2WO6 drove photo generated electrons and holes to diffuse along opposite directions, consequently promoting the separation efficiency of charge carriers. This work indicates that the synergetic photopiezocatalysis by coupling irradiation and ultrasonic vibration is a promising strategy to purify organic pollutants in wastewater.
Competitive intensity as a moderator of trust commitment relationships and of their linkages with export performance
Year: 2015

The purpose of the study is to provide new insights into the links between trust commitment, trust export performance and commitment export performance by examining whether competitive intensity moderates the relationships. 185 survey responses obtained from Bangladeshi readymade garments exporters was used. The dataset was analysed in WarpPLS 3.0. Our findings suggest that competitive intensity has a strong moderating effect on trust commitment and commitment export performance relationships. Furthermore, in congruence with previous researches, this study confirms the existence of strong positive relationships between trust commitment, trust export performance and commitment export performance. The study has implications for export marketing managers and researchers with respect to managing cross border export import relationships categorised by trust, commitment and export performance.
Need, feasibility and convenience of dosimetric treatment planning in liver selective internal radiation therapy with (90)Y microspheres: the experience of the National Tumor Institute of Milan.
Venue: The quarterly journal of nuclear medicine and molecular imaging official publication of the Italian Association of Nuclear Medicine (AIMN) [and] the International Association of Radiopharmacology (IAR) [and] Section of the Society of.
Year: 2011

In most centres, the choice of the optimal activity to be administered in selective intra arterial radioembolization with microspheres is nowadays based on empirical models which do not take into account the evaluation of tumour and non tumour individual absorbed dose, despite plenty of published data which showed that local efficacy is correlated to tumour absorbed dose, and that the mean absorbed dose is a toxicity risk factor. A pitfall of the crudest, empirical tumour involvement method are 20 deaths in a single centre which adopted it to administer the whole liver, or the need of systematic 25% subjective reduction of activity prescribed with body surface area method. In order to develop a possibly safer and more effective strategy based on real individual dosimetry, we examine first external beam liver radiation therapy results. The half century experience has something to be borrowed: the volume effect, according to which the smaller the fraction of the irradiated liver volume, the higher the tolerated dose. Different tolerance for different underlying disease or previous non radiation treatment is to be expected. Radiobiological models experience also has to be inherited, but not their dose reference values. Then we report the published dosimetric experience about (90)Y microsphere radioembolization of primary and metastatic liver tumours. In addition we also present original data from our growing preliminary experience of more refined (99m)Tc MAA SPECT based calculations in hepatocarcinoma patients. This overcame the mean dose approach in favour of the evaluation of dose distribution at voxel level. An insight into dosimetry issues at microscopic level (lobule level) is also provided, from which the different radiobiological behaviour between resin and glass spheres can be understood. For tumour treatment, an attenuation corrected (99m)Tc SPECT based treatment planning strategy can be proposed, although quantitative efficacy thresholds should be differentiated according to the kind of pathology and previous treatment. For non tumour liver parenchyma, data in favour of a relationship between absorbed dose and dangerous effects are encouraging. Unfortunately in hepato cellular carcinoma, some confounding factors may hamper the adequate estimation of the risk of toxicity. First there is a lack of consensus about the exact definition of toxicity after (90)Y microsphere radioembolization. Second, for HCC patients, progression of both cancer and cirrhosis can simulate a radioinduced toxicity, making the analysis more complex.
TAMS Dynamic Usage of Capacity for Arrivals and Departures in Queue, Delay and Punctuality Optimization
Year: 2011

Airport runway capacity is defined as the maximum number of arrivals and departures that can be handled during a fixed time period at an airport under given conditions. Arrival and departure capacities are interdependent and connected with each other through a convex piecewise linear Pareto curve. This curve characterizes capacity of the given runway and estimates real observed data on the number of arrivals and departures on the runway during a fixed time interval over a long period of time. An overview on representation and estimation of airport capacity can be found, for instance, in
RELATIONSHIP BETWEEN GOING CONCERN CONCEPT AND P/E RATIO IN EMERGING MARKET: CASE OF IRAN
Year: 2008

In the present work, the efficiency of market in going concept concern and the probability of its influence on earning per share has been studied and it is showed that if the ongoing concern concept of a company is high ,its earning and vice versa. In this paper, ranking and scoring of companies according to their ongoing concept concern was developed by one of the bankruptcy prediction models, Zavgren (1982) model that its output in numerical value of zero one range show the bankruptcy prediction and ongoing concept concern prediction of a company. Since, this model was developed in accordance with financial environment and firms of other countries, and was not applicable in Iranian firms with its different structure, after selecting a sample of 40 firms which listed in Tehran Stock Exchange, (TSE) the coefficients of the model was adjusted with the conditions of Iranian companies. In this research, first, we tested the reliability and validity of the model within a sample of 14 bankrupt and normal companies. After insuring of the efficiency of the model, ongoing concept concern prediction and bankruptcy prediction of sample from automotive industry was assessed. Considering the difficulty of high evaluation or low earning per share, degree of farness or nearness of company earning per share to industry earning per share ,in other words, difference between company earning per share and industry earning per share was considered as a good parameter and it was measured. Then, the meaningful correlation between ongoing concern concept and company earning per share to industry earning per share was calculated. The results revealed that with 5 percent acceptable error, there is no meaningful correlation between these two variables and it is not possible to apply the assessment of differences between companies earning per share to understand their ongoing concern concept in the future.
The Prevalence and Academic Impact of Dysmenorrhea in 21,573 Young Women: A Systematic Review and Meta Analysis.
Venue: Journal of women's health
Year: 2019

Dysmenorrhea (period pain) and associated symptoms are very common in young women <25 years. This time corresponds with a significant stage in adolescents and young women's academic lives at both school and in higher education. Dysmenorrhea may cause absenteeism from class or result in reduced classroom concentration and performance. Owing to cultural and economic differences, any impact may vary by country. This systematic review and meta analysis examines the prevalence of dysmenorrhea in young women and explores any impact it has on their academic performance and other school related activities.  A search in Medline, PsychINFO, EMBASE, and Cumulative Index to Nursing and Allied Health Literature was carried out in June 2018.  Thirty eight studies including 21,573 young women were eligible and included in the meta analysis. Twenty three studies were from low lower middle or upper middle income countries, and 15 studies were from high income countries. The prevalence of dysmenorrhea was high 71.1% (N 37, n 20,813, 95% confidence interval [CI] 66.6 75.2) irrespective of the economic status of the country. Rates of dysmenorrhea were similar between students at school (N 24, 72.5% 95% CI 67.5 77.0) and at university (N 7, 74.9% 95% CI 62.9 84.0) Academic impact was significant, with 20.1% reporting absence from school or university due to dysmenorrhea (N 19, n 11,226, 95% CI 14.9 26.7) and 40.9% reporting classroom performance or concentration being negatively affected (N 10, n 5126, 95% CI 28.3 54.9)  The prevalence of dysmenorrhea was high, irrespective of country, with dysmenorrhea having a significant negative impact on academic performance both at school and during higher education.
The Rise of the 'Big Red Sports Machine' and the Advent of Modern Day Periodization
Year: 2016

This paper will chronicle the rise of the Soviet "Big Red Sports Machine," associated sport science and most significantly, the advent of modern day periodization. Periodization can be defined as the systematic, cyclical manipulation of training and competitive workload designed to achieve the relative balance between stress and recovery necessary to achieve optimal gains in human sporting performance. The origins of periodization can be traced to ancient Greece where the earliest written histories of athletes were recorded. Following World War II and the battle for world ideological supremacy, the Soviet Union utilised sport as a political tool in an attempt to demonstrate the superiority of its Communist system. Integral to achieving the best sporting results was the application of "cutting edge" sport science and the advent of modern day periodization. Instrumental in the genesis of training theory was Professor Lev Pavlovich Matveyev of the Central State Institute of Physical Culture in Moscow, the so called "Father" of periodization. After introducing his research in 1962, Matveyev published The Fundamentals of Sports Training in 1965 a book that subsequently was translated into more than forty languages. To help formulate his ideas, Matveyev analysed the athletic performances and training profiles of several thousand top athletes in events that could be easily quantified such as track and field, swimming and weight lifting. From the gathered data he derived the theory of periodization that guided the training process and facilitated peaking at the right time. Periodization would go on to revolutionise athletic training and performance, so much so that by the turn of the 21st century, periodization formed the foundation of most modern coaching theory and practice and the basis of every serious athlete's training. With the use of primary research including an interview with Professor Matveyev the paper will chronicle the genesis, evolution and impact of periodization.
Predictive modeling of wildfires: A new dataset and machine learning approach
Venue: Fire Safety Journal
Year: 2019

Wildfires, whether natural or caused by humans, are considered among the most dangerous and devastating disasters around the world. Their complexity comes from the fact that they are hard to predict, hard to extinguish and cause enormous financial losses. To address this issue, many research efforts have been conducted in order to monitor, predict and prevent wildfires using several Artificial Intelligence techniques and strategies such as Big Data, Machine Learning, and Remote Sensing. The latter offers a rich source of satellite images, from which we can retrieve a huge amount of data that can be used to monitor wildfires. The method used in this paper combines Big Data, Remote Sensing and Data Mining algorithms (Artificial Neural Network and SVM) to process data collected from satellite images over large areas and extract insights from them to predict the occurrence of wildfires and avoid such disasters. For this reason, we implemented a methodology that serves this purpose by building a dataset based on Remote Sensing data related to the state of the crops (NDVI) meteorological conditions (LST) as well as the fire indicator "Thermal Anomalies" these data, were acquired from "MODIS" (Moderate Resolution Imaging Spectroradiometer) a key instrument aboard the Terra and Aqua satellites. This dataset is available on GitHub via this link https:/github.com/ouladsayadyounes/Wildfires Experiments were made using the big data platform "Databricks" Experimental results gave high prediction accuracy (98.32% These results were assessed using several validation strategies (e.g. classification metrics, cross validation, and regularization) as well as a comparison with some wildfire early warning systems.
A Biographical Study on The Life of Paulo Coelho in The Light of Abraham Maslow's Hierarchy of Needs Theory
Year: 2019

Paulo Coelho, one of the most prominent contemporary writers in the world, is an extraordinary personality who has a strong drive to realize his true potential and achieve his true self.He delivers through his novels that there is an intrinsic potential inside everyone and everyone must develop to its fullest in order to lead a purposeful life. Abraham Maslow, the renowned twentieth century theorist and founder of the humanistic psychology toofocusses on the optimistic facets of human experiences.
The association between disclosure of forward looking information and corporate governance mechanisms: Evidence from the UK before the financial crisis period
Year: 2014

This paper aims to witness the importance of corporate governance mechanisms and investigates the relationship between the quality of disclosure of forward looking information in the narrative sections of annual reports and the governance mechanisms for non financial UK companies.  Computerized content analysis using QSR NVivo 8 is used to measure the extent of forward looking information in the narratives of the annual reports for 238 companies listed in the London Stock Exchange. Cross sectional regression analysis is used to examine the impact of the corporate governance mechanisms on forward looking information.  The results show that board size and the independence of the audit committee are associated with the level of voluntary disclosure of forward looking information.  One limitation of this study is that in controls for the effect of the financial crisis period, by selecting a representative year for a five year period, 2006. The authors argument in using this year is based on the fact that the main variables of interest do not vary significantly with time, the cross sectional analysis of the selected period will provide a fair view of the last five year period.  The authors report the importance of some governance practices in the UK, such as the role of the board members as well as the importance of audit committee independence.  This paper contributes to the literature by using computerized content analysis to examine the relation between corporate governance mechanism and disclosure quality of forward looking information using sample of companies before financial crisis period. The authors also examine governance mechanisms that are under researched in the field of forward looking disclosure.
Efficient Methods for Incorporating Knowledge into Topic Models
Venue: EMNLP
Year: 2015

Latent Dirichlet allocation (LDA) is a popular topic modeling technique for exploring hidden topics in text corpora. Increasingly, topic modeling needs to scale to larger topic spaces and use richer forms of prior knowledge, such as word correlations or document labels. However, inference is cumbersome for LDA models with prior knowledge. As a result, LDA models that use prior knowledge only work in small scale scenarios. In this work, we propose a factor graph framework, Sparse Constrained LDA (SC LDA) for efficiently incorporating prior knowledge into LDA. We evaluate SC LDA's ability to incorporate word correlation knowledge and document label knowledge on three benchmark datasets. Compared to several baseline methods, SC LDA achieves comparable performance but is significantly faster.
Manajemen Strategi Galeri Investasi Syariah Dalam Meningkatkan Minat Mahasiswa Untuk Berinvestasi Di Pasar Modal Syariah
Venue: Al Mashrafiyah: Jurnal Ekonomi, Keuangan, dan Perbankan Syariah
Year: 2019

The level of financial literacy in Indonesia is still low, there are still many millennials who are not familiar with investment in the Islamic capital market. This study aims to explain the management of strategies undertaken by the Islamic Investment Gallery in attracting students to invest and find out the obstacles faced in attracting investors. This study uses a qualitative method with a descriptive approach. Data collection techniques are interviews with management, MNC Securities and investors management, b) Documentation, c) Direct observations at the IDX Sharia Investment Gallery. The first research results that the management of strategies in increasing student interest in investing in the Islamic capital market, including: a) Environmental observation; b) The formulation of strategies has not been implemented much, c) Implementation, is still not maximized; d) Evaluation and control, still need special monitoring and control strategies currently still not effective. Secondly, the factors that influence students' interest in investing are: a) Internal factors; b) Social factors; and c) emotional motives. Management Strategy, Islamic Investment, Student InterestTingkat literasi keuangan masyarakat di Indonesia yang masih rendah, masih banyak generasi milenial yang belum mengenal investasi di pasar modal syariah. Penelitian ini bertujuan menjelaskan manajemen strategi yang dilakukan Galeri Investasi Syariah didalam menarik minat mahasiswa berinvestasi di pasar modal syariah dan untuk mengetahui kendala yang dihadapi oleh Manajemen Galeri Investasi syariah dalam menarik investor. Penelitian ini menggunakan metode kulitatif dengan pendekatan deskriptif. Teknik pengumpulan data yaitu wawancara kepada manajemen galeri, Manajemen MNC Sekuritas dan para investor, b) Dokumentasi berupa foto foto hasil wawancara, c) Observasi langsung pada Galeri Investasi Syariah BEI. Hasil penelitian yang pertama bahwa manajemen strategi dalam meningkatkan minat mahasiswa untuk berinvestasi di pasar modal syariah, di antaranya yaitu: a) Pengamatan lingkungan; b) Perumusan strategi masih belum banyak yang diterapkan, c) Implementasi, masih belum maksimal; d) Evaluasi dan pengendalian, kegiatan masih perlu pemantauan khusus dan pengendalian strategi saat ini masih belum efektif. Kedua bahwa faktor yang mempengaruhi minat berinvestasi yaitu a) Faktor dari dalam; b) Faktor sosial; dan c) Motif emosional. Strategi Manajemen, Investasi Syariah, Minat.
Biophysics in oviduct: Planar cell polarity, cilia, epithelial fold and tube morphogenesis, egg dynamics
Venue: Biophysics and physicobiology
Year: 2019

Organs and tissues in multi cellular organisms exhibit various morphologies. Tubular organs have multi scale morphological features which are closely related to their functions. Here we discuss morphogenesis and the mechanical functions of the vertebrate oviduct in the female reproductive tract, also known as the fallopian tube. The oviduct functions to convey eggs from the ovary to the uterus. In the luminal side of the oviduct, the epithelium forms multiple folds (or ridges) well aligned along the longitudinal direction of the tube. In the epithelial cells, cilia are formed orienting toward the downstream of the oviduct. The cilia and the folds are supposed to be involved in egg transportation. Planar cell polarity (PCP) is developed in the epithelium, and the disruption of the Celsr1 gene, a PCP related gene, causes randomization of both cilia and fold orientations, discontinuity of the tube, inefficient egg transportation, and infertility. In this review article, we briefly introduce various biophysical and biomechanical issues in the oviduct, including physical mechanisms of formation of PCP and organized cilia orientation, epithelial cell shape regulation, fold pattern formation generated by mechanical buckling, tubulogenesis, and egg transportation regulated by fluid flow. We also mention about possible roles of the oviducts in egg shape formation and embryogenesis, sinuous patterns of tubes, and fold and tube patterns observed in other tubular organs such as the gut, airways, etc.