nils-herrmann/clean_scirepeval huggingface dataset:
The daily impact of COVID 19 in gastroenterology
Venue: United European gastroenterology journal
Year: 2020

A new strain of coronavirus, called SARS CoV 2, emerged in Wuhan, China, in December 2019, probably originating from a wild animal contamination. Since then, the situation rapidly evolved from a cluster of patients with pneumonia, to a regional epidemic and now to a pandemic called COrona VIrus Disease 2019 (COVID 19) This evolution is related to the peculiar modes of transmission of the disease and to the globalization and lifestyle of the 21st century that created the perfect scenario for virus spread. Even though research has not evidenced particular susceptibility of inflammatory bowel disease (IBD) patients to SARS CoV 2 infection, immunosuppressive and immunomodulatory treatments were considered potential risk factors. In this context, initiating treatments with these agents should be cautiously weighted and regular ongoing treatments shall be continued, while the dose of corticosteroids should be reduced whenever possible. Due to the increased risk of contamination, elective endoscopic procedures and surgeries should be postponed and IBD online appointments shall be considered. IBD patients shall also follow the recommendations provided to the general population, such as minimization of contact with infected or suspected patients and to wash hands frequently. In the absence of effective treatments and vaccines, this pandemic can only be controlled through prevention of SARS CoV 2 transmission with the main objectives of providing patients the best healthcare possible and reduce mortality.
Deep Learning for Health Informatics
Venue: IEEE Journal of Biomedical and Health Informatics
Year: 2017

With a massive influx of multimodality data, the role of data analytics in health informatics has grown rapidly in the last decade. This has also prompted increasing interests in the generation of analytical, data driven models based on machine learning in health informatics. Deep learning, a technique with its foundation in artificial neural networks, is emerging in recent years as a powerful tool for machine learning, promising to reshape the future of artificial intelligence. Rapid improvements in computational power, fast data storage, and parallelization have also contributed to the rapid uptake of the technology in addition to its predictive power and ability to generate automatically optimized high level features and semantic interpretation from the input data. This article presents a comprehensive up to date review of research employing deep learning in health informatics, providing a critical analysis of the relative merit, and potential pitfalls of the technique as well as its future outlook. The paper mainly focuses on key applications of deep learning in the fields of translational bioinformatics, medical imaging, pervasive sensing, medical informatics, and public health.
Synthesis of PDA BN@f Al2O3 hybrid for nanocomposite epoxy coating with superior corrosion protective properties
Year: 2020

A novel PDA BN@f Al2O3 nanohybrid was synthesized by depositing Al2O3 nanoparticles modified with g Aminopropyltriethoxysilane (KH550) on the surface of hexagonal boron nitride (h BN) sheets covered with polydopamine (PDA) Then, PDA BN@f Al2O3 hybrids was dispersed in epoxy resin to prepare composite coating samples. Many characterizations revealed that the functionalized Al2O3 successfully deposited on the surface of PDA BN platelets and PDA BN@f Al2O3 hybrids showed good dispersibility in the epoxy resin, and the interfacial adhesion between hybrids and epoxy matrix was improved. Furthermore, the effects of Al2O3, h BN and various mixtures of PDA BN@f Al2O3 hybrids at a low weight fraction of 1 on the corrosion resistance of epoxy coating were studied by electrochemical measurement and salt spray test. The potentiodynamic polarization test revealed that PDA BN@f Al2O3 hybrids have a corrosion inhibitive performance. Moreover, the coating resistance of PDA BN@f Al2O3 (3:1)/epoxy was enhanced by three orders of magnitude compared with neat epoxy after 5 d immersion. This study provides a promising application prospect for the development of superior metal protective organic coatings.
Analyse the influence of hydrogen production cost by carbon dioxide removal process
Year: 2012

Introducing several carbon dioxide removal process from shifted gas of SMR plant,analyzed the advantages and disadvantages of carbon dioxide removal unit in hydrogen production process.Through calculating the investment and energy consumption of 10000Nm3*h 1 Natural gas hydrogen production plant,how carbon dioxide removal process influenced the hydrogen production cost was analyzed.The result indicated that the optimal carbon Dioxide removal process idetermined by market situation can achieve the best economic benefit.
Training in developing higher order thinking based online test instrument for biology teachers in Sekayu City
Year: 2020

In this 21st century, teachers are required to empower students' Higher Order Thinking Skills (HOTS) Unfortunately, there are still many teachers who have difficulty compiling HOTS questions. The purpose of this community service activity was training in formulating HOTS based online test instrument for Senior High School (SHS) teachers in Sekayu City. Community service activities were carried out by a team from the Biology Education Study Program, Sriwijaya University through workshops. The workshop was held at Public SHS 2 Sekayu for two days. From the service activities that have been carried out, there has been an increase in the knowledge and skills of teachers in designing and making HOTS based online evaluation tools. This activity also produced a HOTS question collection document and a google form link containing an online based HOTS question instrument. Based on the series of service activities, it can be concluded that the competence of teachers to conduct online based HOTS evaluation activities has increased.
Complex amplitude metasurface based orbital angular momentum holography in momentum space
Venue: Nature Nanotechnology
Year: 2020

Digital optical holograms can achieve nanometre scale resolution as a result of recent advances in metasurface technologies. This has raised hopes for applications in data encryption, data storage, information processing and displays. However, the hologram bandwidth has remained too low for any practical use. To overcome this limitation, information can be stored in the orbital angular momentum of light, as this degree of freedom has an unbounded set of orthogonal helical modes that could function as information channels. Thus far, orbital angular momentum holography has been achieved using phase only metasurfaces, which, however, are marred by channel crosstalk. As a result, multiplex information from only four channels has been demonstrated. Here, we demonstrate an orbital angular momentum holography technology that is capable of multiplexing up to 200 independent orbital angular momentum channels. This has been achieved by designing a complex amplitude metasurface in momentum space capable of complete and independent amplitude and phase manipulation. Information was then extracted by Fourier transform using different orbital angular momentum modes of light, allowing lensless reconstruction and holographic videos to be displayed. Our metasurface can be three dimensionally printed in a polymer matrix on SiO2 for large area fabrication. A complex amplitude metasurface hologram is conceptually designed and three dimensionally printed. The device allows for high bandwidth orbital angular momentum multiplexing holography and holographic video displays.
New tools of the influence of employers on the education and personnel training system in Russia
Year: 2020

Providing rail transport with qualified personnel has traditionally been in the realm of close attention. Modern realities dictate the need to search for and implement effective tools for the interaction of the education system and employers, which can influence the training of personnel. Thanks to the development of the national qualifications system in Russia, employers and the education system have received effective tools for interaction in the form of professional and public accreditation and independent qualifications assessment, which allow taking into account the requirements of employers, current trends and technologies of production organization, and assess willingness of students to perform specific labor functions in accordance with approved professional standards. Rail transport has been actively involved in the implementation of elements of the national qualifications system, including professional and public accreditation and independent assessment of qualifications. The implementation of these measures should become an important mechanism in improving the professional level of railway workers and building an effective barrier for people who are not ready for responsible work in this area. The considered tools of the national qualifications system contribute to the formation of responsible interaction of all stakeholders in the quality of learning outcomes.
Advances in kilovoltage x ray beam dosimetry.
Venue: Physics in medicine and biology
Year: 2014

This topical review provides an up to date overview of the theoretical and practical aspects of therapeutic kilovoltage x ray beam dosimetry. Kilovoltage x ray beams have the property that the maximum dose occurs very close to the surface and thus, they are predominantly used in the treatment of skin cancers but also have applications for the treatment of other cancers. In addition, kilovoltage x ray beams are used in intra operative units, within animal irradiators and in on board imagers on linear accelerators and kilovoltage dosimetry is important in these applications as well. This review covers both reference and relative dosimetry of kilovoltage x ray beams and provides recommendations for clinical measurements based on the literature to date. In particular, practical aspects for the selection of dosimeter and phantom material are reviewed to provide suitable advice for medical physicists. An overview is also presented of dosimeters other than ionization chambers which can be used for both relative and in vivo dosimetry. Finally, issues related to the treatment planning and the use of Monte Carlo codes for solving radiation transport problems in kilovoltage x ray beams are presented.
SeesawFaceNets: sparse and robust face verification model for mobile platform
Venue: ArXiv
Year: 2019

Deep Convolutional Neural Network (DCNNs) come to be the most widely used solution for most computer vision related tasks, and one of the most important application scenes is face verification. Due to its high accuracy performance, deep face verification models of which the inference stage occurs on cloud platform through internet plays the key role on most prectical scenes. However, two critical issues exist: First, individual privacy may not be well protected since they have to upload their personal photo and other private information to the online cloud backend. Secondly, either training or inference stage is time comsuming and the latency may affect customer experience, especially when the internet link speed is not so stable or in remote areas where mobile reception is not so good, but also in cities where building and other construction may block mobile signals. Therefore, designing lightweight networks with low memory requirement and computational cost is one of the most practical solutions for face verification on mobile platform. In this paper, a novel mobile network named SeesawFaceNets, a simple but effective model, is proposed for productively deploying face recognition for mobile devices. Dense experimental results have shown that our proposed model SeesawFaceNets outperforms the baseline MobilefaceNets, with only \bf66\(146M VS 221M MAdds) computational cost, smaller batch size and less training steps, and SeesawFaceNets achieve comparable performance with other SOTA model e.g. mobiface with only \bf54.2\(1.3M VS 2.4M) parameters and \bf31.6\(146M VS 462M MAdds) computational cost, It is also eventually competitive against large scale deep networks face recognition on all 5 listed public validation datasets, with \bf6.5\(4.2M VS 65M) parameters and \bf4.35\(526M VS 12G MAdds) computational cost.
O uso da mobilizacao passiva continua na reabilitacao de pacientes com fraturas do complexo articular do joelho
Year: 2011

A Mobilizacao Passiva Continua e um recurso mecanico que promove extensao e flexao do joelho, com amplitude de movimento pre estabelecidos, que se repetem continuamente, numa determinada velocidade, conforme a tolerancia de dor do paciente. O objetivo deste estudo foi avaliar os efeitos da Mobilizacao Passiva Continua em pacientes em pos operatorio de fraturas do complexo articular do joelho, quanto a evolucao da dor, por meio da Escala Visual Numerica, do edema, com a perimetria e do ganho de amplitude de movimento a curto prazo, pela goniometria. Trata se de um estudo realizado na Unicamp, que avaliou sujeitos submetidos a procedimento cirurgico devido as fraturas do complexo articular do joelho. A Mobilizacao Passiva Continua e um recurso eficiente como coadjuvante da fisioterapia.
The Effect Of Organizational Culture On Employee Commitment: A Mediating Role Of Human Resource Development In Korean Firms
Year: 2016

The purpose of this study is to examine the effect of organizational culture defined as communication, trust, and innovative production on employees' organizational commitment. Furthermore, we explored the possibility the role of HRD (Human Resource Development) activities in mediating the aforementioned relationship. Using the national employer survey data conducted by Korean government in 2011, the results find that organizational culture, in particular, defined as better communication among superiors and subordinates, trust, and appreciation of innovation from superiors, is positively related to organizational commitment. In addition, firm's investment in HRD or employee participation in HRD would play a mediating role in influencing the relationship between organizational culture and organizational commitment. Therefore, organizational culture is a critical factor to increase workers' motivation through the participation in HRD training program, thereby increasing worker's commitment. The results provide theoretical and practical implications in HRD and its link to organizational culture in organizations.
A Study on Cervical Cancer Screening Using Pap Smear Test and Clinical Correlation
Venue: Asia Pacific journal of oncology nursing
Year: 2018

The objective of the study is to evaluate the use of the Pap smear screening method for detection of precancerous lesions.  All women who visited the outpatient gynecology clinic of the Department of Obstetrics and Gynaecology at King Georges Medical University, Lucknow, UP, India, over 1 year for different clinical problems were recruited for the study. A total of 1650 women who were sexually active and over 21 years of age were enrolled in the study. A clinical examination, an examination per speculum, and a vaginal examination were performed and a history taken for all women. A Pap smear was used for all women to screen for cervical cancer. The smear was obtained using an Ayre spatula and spread over a marked glass slide, which was placed in 95% ethyl alcohol and sent to the Department of Pathology for cytopathological examination. All data were recorded using a predetermined pro forma. Women who had visible malignant cervical lesions were excluded from the study.  Most women were in the age range of 30 50 years and multiparous. Vaginal discharge was the most common complaint, occurring in 36.96% of the women. An irregular menstrual cycle was the complaint of 12.78% and abdominal pain of 25.63% of women, while 15.15% were asymptomatic. The Pap smear test of 93.57% of the women was adequately taken, while 6.42% of the individuals had an inadequate sample. The test was negative for malignancy in 48.84% and 42.66% had infection or inflammation. Atypical squamous cells of undetermined significance (ASCUS) low grade squamous intraepithelial lesion (LSIL) and high grade squamous intraepithelial lesion (HSIL) were detected in 2.90% 5.09% and 0.48% respectively. Women with Pap tests positive for ASCUS, LSIL, and HSIL underwent a colposcopy and guided biopsy.  Women with an abnormal Pap test should undergo a colposcopy, and those with abnormal colposcopy findings should be advised to undergo a biopsy. A Pap smear is simple, noninvasive, cost effective, and easy to perform for detection of precancerous lesions in a gynecological patient.
PEGylation: a promising strategy to overcome challenges to cancer targeted nanomedicines: a review of challenges to clinical transition and promising resolution
Venue: Drug Delivery and Translational Research
Year: 2019

On account of heterogeneity, intrinsic ability of drug resistance, and the potential to invade to other parts of the body (malignancy) the development of a rational anticancer regimen is dynamically challenging. Chemotherapy is considered the gold standard for eradication of malignancy and mitigation of its reoccurrence; nevertheless, it has also been associated with detrimental effects to normal tissues owing to its nonselectivity and nominal penetration into the tumor tissues. In recent decades, nanotechnology guided interventions have been well acclaimed due to their ability to facilitate target specific delivery of drugs, avoidance of nontarget distribution, alleviated systemic toxicity, and maximized drug internalization into cancer cells. Despite their numerous biomedical advantages, clinical translation of nanotechnology mediated regimens is challenging due to their short plasma half life and early clearance. PEGylation of nanomedicines has been adapted as an efficient strategy to extend plasma half life and diminished early plasma clearance via alleviating the opsonization (uptake by monocytes and macrophages) of drug nanocarriers. PEGylation provides "stealth" properties to nanocarrier's surfaces which diminished their recognition or uptake by cellular immune system, leading to longer circulation time, reduced dosage and frequency, and superior site selective delivery of drugs. Therefore, this review aims to present a comprehensive overview of the pharmaceutical advantages and therapeutic feasibility of PEGylation of nanocarriers in improving tumor specific targetability, reversing drug resistance, and improving pharmacokinetic profile of drugs and anticancer efficacy. Challenges to PEGylated cancer nanomedicines, possible adaptations to resolve those challenges, and pivotal requirement for interdisciplinary research for development of rational anticancer regimen have also been pondered.
The bare bones fireworks algorithm: A minimalist global optimizer
Venue: Appl. Soft Comput.
Year: 2018

The fireworks algorithm is a newly proposed swarm algorithm for global optimization, which adopts a novel manner of search called explosion. In this paper, we introduce a simplified version of the fireworks algorithm, where only the essential explosion operation is kept, called the bare bones fireworks algorithm. The bare bones fireworks algorithm is simple, fast and easy to implement. Sufficient conditions for local convergence are given. Experimental results on benchmark functions and real world problems indicate that its performance is competitive and serviceable and it is extremely efficient.
Modelling of the plume rise phenomenon due to warehouse or pool fires considering penetration of the mixing layer
Year: 2020

The present paper describes the theory behind the "plume rise from warehouse or pool fires model" as implemented in the software package EFFECTS. This model simulates the rising of buoyant plumes due to the density difference between the hot combustion products and the ambient air. The plume rise model calculates the maximum height at which the released material will be in equilibrium with the density of the air, and presents the resulting trajectory of the plume, including hazard distances to specific concentration threshold levels. These parameters will be determined depending on the wind speed, atmospheric stability class and the fire's convective heat production, leading to potential penetration of the mixing layer. Additionally, the penetration of the smoke plume through the temperature inversion layer is assessed. If the convective heat of production is sufficient to penetrate the mixing layer, the smoke plume will be trapped above the mixing layer. When this occurs, the (potentially toxic) combustion products do not disperse back below the mixing layer, thus, the individuals at ground level are not exposed to the harmful combustion products. If the convective heat of production is not sufficient to penetrate the mixing layer, the smoke plume may experience the so called reflection phenomena which will trap the smoke plume below the mixing layer. This could have more dangerous consequences for individuals who then might be exposed to harmful combustion products at ground level. Moreover, this paper includes the validation of the model against experimental data as well as to other widely validated mathematical models. The experiments and mathematical models used for the validation are described, and a detailed discussion of the results is included, with a statistical and graphical comparison against the field data.
The Effect of Peak Signal to Noise Ratio (PSNR) Values on Object Detection Accuracy in Viola Jones Method
Year: 2018

Image quality is an important parameter in object detection. Image with good quality will produce high accuracy in the object detection process. Image quality is measured using the peak signal comparison of the original image with the interference that occurs in the image. This comparison is formulated with the Peak Signal To Noise Ratio (PSNR) PSNR values obtained from variations in image quality improvements will be seen in its characteristics in object detection methods using the Viola Jones method. The higher PSNR value will definitely produce better accuracy, but improving the image to the best quality will drain resources and a high computational burden so it needs to find a minimum PSNR value that can still be considered good in the object detection process. The minimum PSNR value for the image is said to be feasible to be processed 19.05 dB. The minimum PSNR value before the object can no longer be detected is 12.43 dB.