nils-herrmann/clean_scirepeval huggingface dataset:
Exposure to Different Supply Chain Risks: What Matters the Most to Supply Chain Resilience and Supply Chain Performance?
Year: 2020

Supply chain risks (SCRs) are a critical managerial issue. Their recurrence is elevated, with extreme ramifications for the existence and survival of the firm and its supply chain. This study focuses on how different SCRs influence supply chain resilience (SCRES) and ultimately supply chain performance (SCP) A quantitative methodology was chosen, with 182 respondents from large scale manufacturing organisations in Pakistan. The results show that, except for customer oriented risk exposure, all risk types significantly influence SCR, while SCRES has a massive influence on SCP. Further, SCRES significantly mediates all other risk factors towards SCP. The results also pointed to the importance of investing and having certain resilient capabilities which enable firms to improve capability in anticipating, responding and recovering, at times of disruptions, and facilitating the enhancement of SCP.
Sentiment analysis using deep learning architectures: a review
Venue: Artificial Intelligence Review
Year: 2019

Social media is a powerful source of communication among people to share their sentiments in the form of opinions and views about any topic or article, which results in an enormous amount of unstructured information. Business organizations need to process and study these sentiments to investigate data and to gain business insights. Hence, to analyze these sentiments, various machine learning, and natural language processing based approaches have been used in the past. However, deep learning based methods are becoming very popular due to their high performance in recent times. This paper provides a detailed survey of popular deep learning models that are increasingly applied in sentiment analysis. We present a taxonomy of sentiment analysis and discuss the implications of popular deep learning architectures. The key contributions of various researchers are highlighted with the prime focus on deep learning approaches. The crucial sentiment analysis tasks are presented, and multiple languages are identified on which sentiment analysis is done. The survey also summarizes the popular datasets, key features of the datasets, deep learning model applied on them, accuracy obtained from them, and the comparison of various deep learning models. The primary purpose of this survey is to highlight the power of deep learning architectures for solving sentiment analysis problems.
Reformer la corruption de l'or noir nigerian? Seconde partie: Progres et perspectives
Year: 2009

Le cadre juridique en vigueur accorde un pouvoir discretionnaire aux hauts fonctionnaires et ne decrit pas clairement les roles et responsabilites des acteurs de la filiere. Les operations du secteur, notamment les activites de la compagnie petroliere nationale, la Nigerian National Petroleum Company (NNPC) font l'objet d'une surveillance insuffisante. L'organisme de surveillance de l'industrie, la Direction des ressources petrolieres (DPR, acronyme en anglais) souffre d'un manque de capacites, et de confusion, suscite par les fonctions de reglementation qu'assume la NNPC. Cadre juridique et reglementaire statut de la reforme Les precedents efforts de reforme visaient a accroitre l'independance des institutions de reglementation et a encourager une plus grande productivite de la NNPC. Les reformes de la NNPC en 1988 ont permis de creer onze unites supposees fonctionner en tant que societes semi autonomes. Par ailleurs, la DPR est devenue une institution a part entiere, remplacant ainsi son statut de branche de la NNPC. Ces ajustements structurels n'ont occasionne que peu de changements dans la pratique. La NNPC a conserve son influence sur les affaires de la DPR, bien que de maniere informelle, et les operations des unites demeurent soumises a un controle tres centralise de la NNPC.
Adoption of Recirculating Aquaculture Systems in Pangasius Farms: A Choice Experiment
Year: 2015

A growing number of European customers' demands certified pangasius such as ASC in order to ensure sustainable production. Implementing Recirculating Aquaculture Systems (RAS) contributes to an improved water quality, a key issue in achieving ASC certification. This study uses a choice experiment to measure farmers' preferences for RAS in pangasius production in Vietnam. The farmers' choice for RAS is positively affected by enhanced yield levels and achievement of ASC certification with price premium. Also the area of farming is found to be important, i.e. farmers in saltwater intrusion areas are more likely to implement RAS. Main constraints are availability of finance and lack of trust in receiving the ASC price premium. To stimulate the adoption of RAS, policies can provide interest subsidies on loans to finance RAS investment, while retailers could ensure a price premium for ASC certified pangasius.
Tunning of PID Controller for Paper Machine Headbox using Hybrid PSOABC Algorithm
Year: 2020

In paper machine, critical sub process is Headbox. There are two input and output process in headbox and there will be a noticeable amount of loop interaction. Based on its operation, paper quality is defined. In order to produce paper with good quality, precise control is needed. In this research, Artificial Bee Colony algorithm technique and particle swarm optimization (PSO) are combined to form a hybrid H PSOABC method to design a head box's proportional integral derivative (PID) controller. Conventional PID controllers are used to make a comparison of robustness and performance of H PSOABC PID controller. The comparison is made with respect to ITAE, ITSE, IAE, ISE, time and frequency response.
Public Health Approach of Ayurveda and Yoga for COVID 19 Prophylaxis.
Venue: Journal of alternative and complementary medicine
Year: 2020

National governments are deeply divided over whether traditional, complementary and integrative practices have value for human beings relative to COVID 19. We witness a double standard. Medical doctors explore off label uses of pharmaceutical agents that may have some suggestive research while evidence that indicates potential utility of natural products, practices and practitioners is often dismissed. In this Invited Commentary, a long time JACM Editorial Board member Bhushan Patwardhan, PhD, from the AYUSH Center of Excellence, Center for Complementary and Integrative Health at the Savitribai Phule Pune University, India and colleagues from multiple institutions make a case for the potential roles of Ayurvedic medicine and Yoga as supportive measures in self care and treatment. Patwardhan is a warrior for enhancing scientific standards in traditional medicine in India. Patwardhan was recently appointed by the Ministry of AYUSH, Government of India, as Chairman of an 18 member expert group known as 'Interdisciplinary AYUSH Research and Development Taskforce' for initiating, coordinating and monitoring efforts against COVID 19. He was last seen here in an invited commentary entitled 'Contesting Predators: Cleaning Up Trash in Science' (JACM, October 2019) We are pleased to have this opportunity to share the recommended approaches, the science, and the historic references as part of the global effort to leave no stone unturned in best preparing our populations to withstand COVID 19 and future viral threats. John Weeks, Editor in Chief, JACM (johnweeks integrator.com)
Image based visual servoing using improved image moments in 6 DOF robot systems
Year: 2013

This paper addresses the challenges of choosing proper image features for planar symmetric shape objects and designing visual servoing controller to enhance the tracking performance in image based visual servoing (IBVS) Six image moments are chosen as the image features and the analytical image interaction matrix related to the image features are derived. A controller is designed to efficiently increase the robustness of the visual servoing system. Experimental results on a 6 DOF robot visual servoing system are provided to illustrate the effectiveness of the proposed method.
Socioeconomic status and the brain: prospects for neuroscience informed policy
Venue: Nature Reviews Neuroscience
Year: 2018

Socioeconomic status (SES) is associated with health (physical and mental) and cognitive ability. Understanding and ameliorating the problems of low SES have long been goals of economics and sociology; in recent years, these have also become goals of neuroscience. However, opinion varies widely on the relevance of neuroscience to SES related policy. The present article addresses the question of whether and how neuroscience can contribute to the development of social policy concerning poverty and the social and ethical risks inherent in trying. I argue that the neuroscience approach to SES related policy has been both prematurely celebrated and peremptorily dismissed and that some of its possible social impacts have been viewed with excessive alarm. Neuroscience has already made modest contributions to SES related policy, and its potential to have a more effective and beneficial influence can be expected to grow over the coming years.A growing field of research seeks to establish a neuroscientific basis for the correlations between socioeconomic status and life outcomes. Farah evaluates the opportunities and challenges that face the application of this field to wider policy discussions.
Dynamics and Control of a Flexible Link Flexible Joint Space Robot with Joint Friction
Year: 2020

Multi DOF flexible space robots play a significant role in the on orbit service. The flexibility of the robots is mainly caused by the flexible links and some flexible drive elements in joints. The vibration generated by the component flexibility can affect the accuracy of control. In this paper, the dynamics and control issues of flexible link flexible joint (FLFJ) space robots considering joint friction are studied. Firstly, the Spong's model is employed to depict flexible joints, and the Coulomb friction model is adopted to describe joint friction. Then based on the single direction recursive construction method and velocity variation principle, dynamic equations of the system are derived. Secondly, a trajectory of joint motion is given and a trajectory tracking controller with friction compensation is designed with the computed torque method. Finally, several numerical simulations are carried out to verify the accuracy of the dynamic model and illustrate the effect of joint friction and joint flexibility on the dynamic characteristics of space robots. Besides, simulation results suggest that the controller designed in this paper could effectively achieve the trajectory tracking control for the 6 DOF FLFJ space robot with joint friction.
Country Selection on Web Forms: A Comparison of Dropdown Menus, Radio Buttons and Text Field with Autocomplete
Venue: 2020 14th International Conference on Ubiquitous Information Management and Communication (IMCOM)
Year: 2020

Many forms on the web include obligatory country fields. Usually country form fields are implemented using a long drop down menu. This preliminary study set out to investigate whether the typical country drop down menu is as efficient as common practices indicate. A controlled within groups experiment with N 17 participants was conducted comparing radio buttons, drop down lists and a text field with autocomplete. The results show that the mean time to select country by inputting the prefix of the country in a text field with autocomplete was the fastest although not significantly faster than the drop down menu. However, both were significantly faster to use than radio buttons. The results support the choice of mechanisms used on some websites where country selection is implemented with a multi mode input control that can be used either as a drop down menu or by inputting the country prefix according to the users' preferences.
Stenting Does Not Relieve Stable Angina Symptoms.
Venue: JAMA
Year: 2017

Angina Symptoms Patients with stable angina who underwent percutaneous coronary intervention (PCI) had no significant symptom relief or improvement in quality of life compared with patients who had a placebo procedure, found a trial in the Lancet. The observation that PCI leads to improvement in angina symptoms may involve a large placebo effect, suggested the authors. The ORBITA ( trial included 200 patients with severe 70% single vessel stenoses. All patients received 6 weeks of medication optimization, followed by assessments, including cardiopulmonary exercise testing and symptom questionnaires. Patients were randomly assigned to undergo PCI or a placebo procedure in which patients were briefly sedated and their coronary catheters inserted and withdrawn with no other intervention. There was no significant difference in exercise capacity or symptom improvement between the PCI and placebo groups 6 weeks after PCI or the sham procedure. This despite objective improvements in measures of coronary stenosis in the PCI group. Nevertheless, some patients with stable angina may still opt for PCI to avoid taking antianginal medications for life, noted the authors.
C E Translation of Online News Headlines from the Perspective of Eco translatology
Year: 2012

A news headline is the punch line of a news report,whose purpose is to quickly draw readers' attention to the body text. On the Internet,it plays a much more important role in enticing website visitors than it is in traditional media news reports. Featuring C E translation of online news headlines from the perspective of Eco translatology,and combining specific cases of C E translation,this paper points out that translators should take different components of the translational eco environment into account and focus on three dimensional transformations (i.e. linguistic,cultural and communicative) under the guidance of"multi dimensional adaptation and adaptive selection" for a translation of the highest level of"holistic adaptation and selection"
Two step preparation of amidoxime functionalized natural zeolites hybrids for the removal of Pb2+ ions in aqueous environment
Year: 2018

Amidoxime functionalized natural zeolites hybrids were prepared through two step method including g irradiation for the grafting polymerization of polyacrylonitrile (PAN) and chemical transformations of nitrile groups R CN) to amidoxime groups R C(NH2) NOH) This study aims to combine the good mechanical properties of low cost inorganic matrices, i.e. natural zeolites, with strong chelating ability, which is potential for adsorbing toxic metal cations, especially Pb2+ The grafting polymerization of PAN depended on the g irradiation dose and dose rate. The optimized condition for the highest degree of grafting (20% and maintained zeolites structure lies at the irradiation dose of 100 kGy at a dose rate of 2 kGy h 1. It was indicated that the grafting polymerization of PAN also occurred inside the micropores since the micropore volumes cannot be detected by N2 adsorption desorption isotherms after grafting polymerization and chemical transformations. Moreover, the grafted PAN probably formed a chemical bonding with the zeolites since they exhibited the peaks of Si O and Si sites in the ESR spectra of zeolites after g irradiation. The amidoxime functionalization was confirmed by FTIR spectroscopy which showed the transformation of CN band into C=N, C N and N OH bands and SEM EDX which exhibited the morphology alteration and the enhancement of C and N atoms percentage. The two step preparation appeared to not alter the structure of zeolites as shown by XRD and 27Al MAS NMR spectroscopy. The amidoxime functionalized natural zeolites hybrids exhibited maximum adsorption capacity of 72 mg g 1 towards Pb2+ in the aqueous environment which was comparable and, even, higher than several previous reports. The adsorption process followed the Langmuir model with favorable adsorption based on the separation factor values, while the adsorption kinetics are based on pseudo second order model.
DATA ANALYTICS FOR CUSTOMER RETENTION USING MACHINE LEARNING TECHNIQUES
Year: 2020

With rapid increase of competition in business, there is a vital need of analyzing strategies continuously. The client is the focal point of every business. So, its compulsory to monitor clients demands, to make your business profitable and even to retain the client. This study uses logistics regression model to forecast clients loyalty, that whether the client will continue to subscribe the service or will stop. Four imputation techniques were compared to tackle the missing data, which own its own is a big issue. Upon getting the best performing imputation method, two feature reduction techniques were analyzed upon its outcome, to reduce the aspect of variance in the data. Finally, with the high performing imputation method and feature reduction technique, Logistic Regression model was developed, and validated using validation data. After that, predictions were made on test data.
Mapping tree density at a global scale
Venue: Nature
Year: 2015

The global extent and distribution of forest trees is central to our understanding of the terrestrial biosphere. We provide the first spatially continuous map of forest tree density at a global scale. This map reveals that the global number of trees is approximately 3.04 trillion, an order of magnitude higher than the previous estimate. Of these trees, approximately 1.30 trillion exist in tropical and subtropical forests, with 0.74 trillion in boreal regions and 0.66 trillion in temperate regions. Biome level trends in tree density demonstrate the importance of climate and topography in controlling local tree densities at finer scales, as well as the overwhelming effect of humans across most of the world. Based on our projected tree densities, we estimate that over 15 billion trees are cut down each year, and the global number of trees has fallen by approximately 46% since the start of human civilization.
Handwritten Gregg Shorthand Recognition
Year: 2012

Gregg shorthand is a form of stenography that was invented by John Robert Gregg in 1888. Like cursive longhand, it is completely based on elliptical figures and lines that bisect them. Gregg shorthand is the most popular form of pen stenography in the United States and its Spanish adaptation is fairly popular in Latin America. With the invention of dictation machines, shorthand machines, and the practice of executives writing their own letters on their personal computers, the use of shorthand has gradually declined in the business and reporting world. However, Gregg shorthand is still in use today. The need to process documents on paper by computer has led to an area of research that may be referred to as Document Image Understanding (DIU).The goal of DIU system is to convert a raster image representation of a document. For Example, A hand written Gregg shorthand character or word is converted into an appropriate Symbolic Character in a computer (It may be a scanned character or online written character).Thus it involves many disciplines of computer science including image processing, pattern recognition, natural language processing, artificial intelligence, neural networks and database system. The ultimate goal of this paper is to recognize hand written Gregg shorthand character and Gregg shorthand word.
Why lot? How sortition could help representative democracy
Venue: Physica A: Statistical Mechanics and its Applications
Year: 2021

In this paper we present a new analytical model of a Parliament and investigate the beneficial effects of the selection of legislators by lot in order to reduce some of the drawbacks of modern representative democracies. Resorting to sortition for the selection of public officers used to be in the past a popular way of taming factionalism in public affairs. Factionalism is assumed to be detrimental since public officers tend to favour their own faction instead of pursuing the general interest. In this respect our mathematical model shows in a rigorous way how it is possible to improve the efficiency of a Parliament by introducing the use of sortition to select part of its members. It will be shown that, starting from a Parliament working with two parties (or coalitions) where the costs of representative democracy are quite apparent through the detrimental effects of party discipline, one can beneficially move towards a Parliament where independent, randomly selected legislators sit alongside elected members. In particular, we show that increasing the number of independent legislators up to a critical point enhances the efficiency of the Parliament and puts into check the factionalism likely to arise from party discipline.
Health insurance for patients with HIV/AIDS in Vietnam: coverage and barriers
Venue: BMC Health Services Research
Year: 2017

BackgroundHealth insurance (HI) plays an important role in ensuring the financial equity by the risk pooling mechanism and reducing the economic burden of healthcare for HIV/AIDS patients. However, there is a lack of evidence to clearly understand HI coverage in regard to people living with HIV (PLWH) We conducted this study to explore the coverage and barriers of HI among PLWH in Vietnam.MethodsA cross sectional study was conducted in multi sites including 3 hospitals and 5 outpatient clinics in Hanoi and Nam Dinh in 2013. A convenience sampling approach was used to recruit the participants. A structured questionnaire was used to examine current status of using HI, lacking information about HI, feeling difficulties in accessing, using and paying HI. Multivariate logistic regression was conducted to examine factors associated with HI use and barriers.ResultsAmong 1133 HIV/AIDS patients, the coverage of HI was 46.0% About 36.4% lacked information about HI, 21.0% felt difficulty in accessing HI. Meanwhile, the proportions of patients feeling difficulty in using HI and paying HI were 19.9 and 18.6% respectively. Multivariate regression found that lacking information about HI and feeling difficulty in accessing HI were main barriers of having HI among PLWH.ConclusionThis study found a high proportion of PLWH was not covered by HI. Lacking information about HI and feeling difficulty in accessing HI were primary barriers that should be resolved via timely educational campaigns and consultations as well as supports from families in order to expand effectively the HI coverage.