nils-herrmann/clean_scirepeval huggingface dataset:
The benefits of casein phosphopeptid amorphous calcium phosphate (CPP ACP) in pediatric dentistry
Year: 2016

The pathogenesis of enamel caries involves an imbalance in the physiological process of remineralization/ demineralization of the dental structure. White spot lesions are the earliest macroscopic evidence of enamel caries. The subsurface loss will continue if early treatment was not made, and eventually the surface layer will collapse and lead to a cavity formation. Casein phosphopeptide amorphous calcium phosphate (CPP ACP) is a unique, naturally derived protein based remineralizing mechanism. By its incorporation at this stage, the lesion can be reversed. It will have a strong impact on the public health aspects of caries control. The aim of this review is to describe the chemical nature, mechanism of action, and effectiveness of CPP ACP as a remineralizing agent and its various uses in clinical conditions as well as the different methods of application of CPP ACP products in modern practice.
Study on Control Method of Variable Frequency Speed Regulation System
Year: 2012

Aiming at the shortage of traditional control variable frequency speed control system,based on the AC frequency conversion system,introduces a new control method symmetric cosine control method,the control not only pays attention to the traditional control method the inherent sine,and at the same time as a result of its own control characteristics,and can be a good solution waveform symmetry.Taking into account the output waveform symmetry and degree of sine.The simulation experiment,the control way is both symmetry and sine output harmonic content,lesser also achieved good results.
Terrorism in aviation: going on holiday? Young travellers take longer to pass through security.
Year: 2017

The focus of this paper is to share research carried out over a four year period to assess passengers experience and opinions of security measures' Airside' at UK airports introduced as a result of terrorism since 9/11. The respondent profile was universi ty students, 93% of whom were aged between 18 25. A survey was carried out between 2011 and 2014 at Leeds Beckett University of 711 respondents who have had 3867 security experiences, both leaving and returning to UK airports. All major UK airports were included in the survey. The data suggests younger passengers do take longer to pass through security and there are significant differences of opinion between whites and non white on who should be profiled for security screening
THE COMPARISON OF INTERNET CONNECTION IN NOKIA 5200 AND NOKIA 3120 CLASSIC MOBILE PHONE AS A MODEM
Year: 2011

Internet has started to grow rapidly as the human need for more complete information. The Internet is one of the media to seek and nd the information needed by humans. The information can be obtained via the Internet. The use of mobile phones is not only for sms or to call, but mobile phones now can become a modem for connecting a PC or laptop to the internet and can browse by using com patible software with the brand name used in a cell phone as a modem. THE COMPARISON OF INTERNET CON NECTION IN NOKIA 5200 AND NOKIA 3120 CLASSIC, using a mobile phone that has a GPRS and 3G network ser vice to connecting mobile phones that function as a modem that will connect to the internet, where the mobile phone has been connected to the laptop for browsing activities. The writer has done a direct test to nd out which type of these mobile phones that is the most superior between the two when used as a modem. By comparing the speed of in ternet, browser, upload, and download, then the writer get results that made ?the comparison of which type of these mobile phone that more better if used as a modem. Based on trials that have been done by comparing the speed of the internet, browser, upload, and download with NOKIA 3120 and NOKIA 5200 CLASSIC. The writer has made a con clusion that NOKIA 3120 CLASSIC NOKIA 5200 is more superior than NOKIA 5200, NOKIA 3120 CLASSIC has a faster speed at the time of the browser, upload, and down load.
Approximate GP Inference for Nonlinear Dynamical System Identification Using Data Driven Basis Set
Venue: IEEE Access
Year: 2020

We address the problem of nonlinear dynamical system identification in state space formulation using an approximate Gaussian process (GP) regression framework where the basis for GP are learned from data. Approximate GP inference is used to address the high computational cost of exact GP frameworks, and is based on basis function expansion concept. We address the design of these basis functions using data and eigenvalue decomposition framework. The need for such design arises in practical applications where the collected data has outliers, discontinuities and other non stationary characteristics which limit not only the applicability but also the performance of traditional GP framework with inherent stationary assumptions. Using the available data set, a kernel eigenvalue problem is formulated which is solved using Monte Carlo techniques to construct basis functions. Then, a low rank approximation to the exact GP is obtained by an approach similar to kernel principle component analysis (k PCA) The coefficients in the basis function expansion and other unknown parameters are learned from data using sequential Monte Carlo technique. The proposed GP framework for dynamical system identification is tested and validated against fixed basis framework using simulations and experimental data.
The effectiveness of clinical pathway software in inpatient settings: A systematic review
Venue: Int. J. Medical Informatics
Year: 2021

Various studies have assessed the effectiveness of clinical pathways (CPs) in inpatient settings and provided systematic evidence that they positively affect patient outcomes and efficiency of care, thus lowering costs. In recent years, CP implementation is often combined or extended with clinical pathway software (CPS) Until now, no systematic literature review appears to exist which synthesizes the evidence on the effectiveness of CPS in inpatient settings, in relation to the CPs they support.  The purpose of this study was to systematically review evidence on (perceived) effectiveness of clinical pathway software (CPS) and investigate mechanisms explaining the effects of CPS implementation on outcomes.  We searched MEDLINE via PubMed and Scopus, for English language original articles. Articles were included if they examined the effectiveness and/or the perceived effectiveness of CPS in the inpatient setting. They were analyzed for evidence on structure, process and outcome effects, as well as for mechanisms explaining such effects in relation to contextual factors.  From 2904 articles, 12 studies met our inclusion criteria. The seven studies reporting on adherence provide conclusive evidence that CPSs can improve adherence. We also found conclusive evidence of improvement of process related measures regarding appropriate diagnostics, timeliness of care, and length of stay (LOS) Evidence on costs and outcomes is weak and/or less conclusive. This holds true both for patient outcomes (e.g. mortality/patient satisfaction) and caregiver outcomes (e.g. user satisfaction) The studies presented no direct evidence on mechanisms explaining how CPS relate to process and outcome improvements.  The primary effects of CPS to increase adherence may in turn positively impact other process indicators such as LOS, timeliness of care, and diagnostic effectiveness. Subsequent effects on costs, outcomes for patients, physicians and nurses remain inconclusive and call for further research. Further research should explicitly take context into account. The scarce and weak evidence base relating CPS implementation to process and outcome effects needs development along the same lines.
Impact of Digital finance on financial Inclusion
Year: 2020

Since1990's, there has been an upsurge in the financial services provided by various banks and financial institutions. Financial services are the economic services provided by the finance industry. Financial services are important for an economy because serves the basic needs of its citizen i.e.to save, to invest and to protect. Digital finance is a financial service that covers financial services delivered through digital network/ infrastructure including mobile and internet. The present study is conducted to explore the growth potential of digital finance and major problems faced in developing nations. The present paper focuses on the role of digital finance in inclusive growth. Digital finance has a great potential to boost the GDP of emerging economies. Digital infrastructure, financial service markets and financial products are three essential building blocks of digital finance.
Married just in time: Deathbed weddings, meaning and magic
Year: 2020

Brave conversations in hospital, often facilitated by the palliative care team, lead to a discovery of what really matters if time is short.Getting married turned out to be high on the agenda for many couples where one partner is facing mortality.There has been little exploration of romance and marriage in the context of advanced illness. Method:7 deathbed weddings in a tertiary cancer centre were analysed. These had taken place over a period of 2 years. Initial conversations, subsequent arrangements, the impact on the couple, and the subsequent reactions in bereavement were explored. Demographics, illness details, reasons for the marriage and logistics of the wedding were recorded Bereaved spouses were subsequently interviewed about the meaning of the wedding. Results:6/7 weddings were identified as 'goals' by the palliative care team On average the time from conversation to wedding was 10 days 3/7weddings took place within 1 day of the conversation Wedding outfits ranged from pyjamas to full white wedding on a hospital ward.5/7 brides/grooms died in hospital, on average 16 days after the wedding, In terms of meaning, this ranged from legal and financial reasons, to a statement of love and connection Momentous celebrations distracted patients, relatives and healthcare team from the daily tragedy they were immersed in. The focus became one of healing not curing. Teams were uplifted, symptoms improved.The stories reinforced the idea that self esteem and need for connection are dominant forces even in the face of death.
Vector representation of words for sentiment analysis using GloVe
Venue: 2017 International Conference on Intelligent Communication and Computational Techniques (ICCT)
Year: 2017

Sentiment Analysis is one of the application of Natural Language Processing(NLP) methodology. The NLP enables to understand the common day to day language of the people. This understanding is extended to decipher the sentiments of the users and hence interpret the liking and disliking of the people. Vector representation of the words using unsupervised technique like Glove proves to be very effective in interpreting the meaning and hence the sentiments.
Media Use and Sleep.
Venue: JAMA pediatrics
Year: 2016

Media use can include broadcast media such as television and movies, as well as interactive media such as social media and online games. Further, media use via portable devices such as smartphones and tablets has made media use available 24 hours a day and at most any location. One area of health concern with children's media use is its effect on sleep. Concerns about media use and sleep include that using media at or near bedtime can lead to fewer hours of sleep and poorer quality of sleep. Concerns have also been raised about media use leading to daytime sleepiness, which could affect children's school performance and other physical health issues. Sleeping the recommended hours on a regular basis is necessary and associated with better health outcomes including improved attention, behavior, learning, memory, emotional regulation, quality of life, and mental and physical health. Children 6 to 12 years of age should get 9 to 12 hours of sleep and teens 13 to 18 years of age should get 8 to 10 hours each night. More information about number of hours of recommended sleep for children and adolescents is available from the American Academy of Sleep Medicine (http:/www.aasmnet.org /Resources/pdf/Pediatricsleepdurationconsensus.pdf) This issue of JAMA Pediatrics includes a study of the relationship between media use and sleep outcomes. This meta analysis study allows an independent group of investigators to review and summarize findings from previous studies, leading to an evidencebased summary of the state of the science on a given topic. This meta analysis included 20 previous studies from around the globe; in total, the studies included 125 198 children. The analysis found the following evidence regarding the relationship between media use and sleep:
A clinical diagnosis of oral leukoplakia; A guide for dentists
Venue: Medicina oral, patologia oral y cirugia bucal
Year: 2018

In view of the many white or predominantly white lesions of the oral mucosa it is a challenge for dentists to clinically identify a leukoplakia, being a potentially (pre)malignant lesion.  Based on the available literature and experience of the authors the parameters of a clinical diagnosis of oral leukoplakia have been studied.  A guide has been presented that should help dentists to establish a clinical diagnosis of leukoplakia as accurate as possible.  Probably in most parts of the world dentists will need the help of a specialist for confirmation or exclusion of the clinical diagnosis of oral leukoplakia and for further management of the patient, including patient information. Oral diseases, oral leukoplakia.
Is Social Media Adoption a Powerful Means to Reach High Performance in Small and Medium Sized Firms? An Empirical Investigation
Year: 2020

Social media represent today an essential part of marketing strategies in business life. These communication tools are used as a source of information and dissemination of knowledge and belong to very important business marketing tactics as they help create new business opportunities, develop a stronger market position and, often contribute to changing consumer behaviour. In particular, this study investigates if and how the use of Facebook and Instagram positively affects business performance. Analyzing a sample of 30 successful European businesses that have registered relevant revenue growth in the last 3 year period, findings show that Facebook and Instagram adoption is neutral with reference to the achievement of positive financial and economic performance. An interpretive model is conceived to point out different kinds of social media adopters. Implications and limitations are discussed.
Hindi Visual Genome: A Dataset for Multimodal English to Hindi Machine Translation
Venue: Computacion y Sistemas
Year: 2019

Visual Genome is a dataset connecting structured image information with English language. We present `Hindi Visual Genome' a multimodal dataset consisting of text and images suitable for English Hindi multimodal machine translation task and multimodal research. We have selected short English segments (captions) from Visual Genome along with associated images and automatically translated them to Hindi with manual post editing which took the associated images into account. We prepared a set of 31525 segments, accompanied by a challenge test set of 1400 segments. This challenge test set was created by searching for (particularly) ambiguous English words based on the embedding similarity and manually selecting those where the image helps to resolve the ambiguity. Our dataset is the first for multimodal English Hindi machine translation, freely available for non commercial research purposes. Our Hindi version of Visual Genome also allows to create Hindi image labelers or other practical tools. Hindi Visual Genome also serves in Workshop on Asian Translation (WAT) 2019 Multi Modal Translation Task.
Striatal Somatotopy and Motor Responses Evoked by Acute Electrical Stimulation of the Posterior Striatum in Rats
Venue: Neuromodulation journal of the International Neuromodulation Society
Year: 2014

Previous experiments suggest that the striatal sensorimotor territory in rats is located in its dorsolateral region, along the rostrocaudal axis, unlike what has been observed in primates. In the present study, electrical stimulation was performed to investigate the degree of participation of the posterior striatum in its motor territory, its somatotopic organization, and the motor responses evoked by stimulation.
Poverty Alleviation Strategies in Nigeria: The Missing Link of Adult Education
Year: 2014

Poverty eradication has attracted the attention of world body by making it as no 1 MDG. Poverty is seen as the condition of being poor and lacking in basic amenities of life. It is also psychological as poor people exhibit low self esteem. This paper considered the missing link of adult education in poverty alleviation in Nigeria. Thus, it revealed that various strategies were employed by the government to reduce poverty in Nigeria. These include establishment of bodies to fight corruption and to empower people through skill acquisition. Infrastructural facilities were also constructed to curb poverty. Needless to state, adult education serves as a mechanism for poverty alleviation in that local people must partake in developmental activities for its sustainability and provision of continuing education for knowledge economy for workforce. Adult education and poverty alleviation go together because of various developmental changes that can occur on people and infrastructure. The concept of literacies for poor people should be imbibed by adult educators in order to reach various occupational groups in the society. Besides, all those theories and innovations could be implemented if the policy makers and decision takers are incorporated to adult education planning and implementation.
Cognitive function in older women with breast cancer treated with standard chemotherapy and capecitabine on Cancer and Leukemia Group B 49907
Venue: Breast Cancer Research and Treatment
Year: 2013

Cognitive changes in older women receiving chemotherapy are poorly understood. We examined self reported cognitive function for older women who received adjuvant chemotherapy on Cancer and Leukemia Group B (CALGB) 49907. CALGB 49907 randomized 633 women aged =65 with stage I III breast cancer to standard adjuvant chemotherapy (cyclophosphamide methotrexate 5 fluorouracil or doxorubicin cyclophosphamide) versus capecitabine. We examined self reported cognitive function in 297 women (CALGB 361002) who enrolled on the quality of life substudy and had no gross impairment on cognitive screening. Women were evaluated using an 18 item instrument at six time points (baseline through 24 months) At each time point for each patient, we calculated a cognitive function score (CFS) defined as the mean response of items 1 18 and defined impairment as a score >1.5 standard deviations above the overall average baseline score. Differences in scores by patient characteristics were evaluated using a Kruskal Wallis test. A linear mixed effects model was used to assess CFSs by treatment over time. Among 297 women, the median age was 71.5 (range 65 85) and 73 had performance status of 0. Baseline depression and fatigue were reported in 6 and 14 of patients, respectively. The average CFS at baseline was 2.08 (corresponding to "normal ability" and baseline cognitive function did not differ by treatment regimen (p 0.350) Over 24 months, women reported minimal changes at each time point and insignificant differences by treatment arm were observed. In a healthy group of older women, chemotherapy was not associated with longitudinal changes in self reported cognitive function.
Male Caregivers of Persons with End Stage Renal Disease: A Qualitative Study.
Venue: Nephrology nursing journal journal of the American Nephrology Nurses' Association
Year: 2017

This study explored experiences associated with burden, depressive symptoms, and perceived health in six male caregivers of persons with end stage renal disease (ESRD) using qualitative interviews. Analysis employed open coding and analysis to generate codes and categories. Eighty three percent of the participants reported significant subjective and objective burden. Linkages occurred between sociodemographic characteristics, care recipient attributes, and caregiver care recipient relationship, and caregivers' experience of burden and depressive symptoms. Findings suggest the need for intervention trials targeting new coping strategies to help improve the well being of this population.
Three axis full automatic high speed adhesive dispensing robot servo control system
Year: 2012

The utility model discloses a three axis full automatic high speed adhesive dispensing robot servo control system, which introduces an FPGA (field programmable gate array) processor into a DSP (digital signal processor) forms a dual core processor based on the DSP and the FPGA processor. The dual core processor intensively designs multiple control systems realized by an original single chip microcomputer, gives sufficient consideration to the function of a battery in the system, realizes the function that a single controller controls three axes synchronously, hands over a three axis servo system, which has the heaviest workload in the three axis full automatic high speed adhesive dispensing robot servo control system, to the FPGA processor to control, brings the characteristic of high speed in data processing of the FPGA processor into full play, and hands over functions of a man machine interface module, a path reading module, an on line output module, a data storage module, an I/O control module, an image collecting and processing unit, and the like to the DSP to control, thereby realizing the division of labor between the DSP and the FPGA processor, freeing the DSP from heavy workload, and increasing the anti interference capacity.
A novel ensemble deep learning model with dynamic error correction and multi objective ensemble pruning for time series forecasting
Venue: Inf. Sci.
Year: 2021

In the past decade, deep learning models have shown to be promising tools for time series forecasting. However, owing to significant differences in the volatility characteristics among different types of time series data, it is difficult for an individual deep learning model to maintain robust forecasting performance. In this study, a novel ensemble deep learning model is proposed to achieve accurate and stable time series forecasting. First, a boosting deep learning method based on extended AdaBoost algorithm is proposed for generating various basic predictors. These basic predictors are further enhanced through a new dynamic error correction method. A stacking based ensemble method that employs kernel ridge regression as the meta predictor is then used to combine the basic predictors to produce the ultimate forecasting results. To increase forecasting accuracy and stability, an enhanced multi population non dominated sorting genetic algorithm II is proposed for ensemble pruning. Finally, the forecasting performance of the proposed model is verified through the use of three different types of real world time series data (i.e. PM2.5 concentration, wind speed, and electricity price) The experimental results showed that the proposed model is superior to other baseline models in dealing with time series forecasting tasks.