nils-herrmann/clean_scirepeval huggingface dataset:
Exploiting IoT technologies for enhancing Health Smart Homes through patient identification and emotion recognition
Venue: Comput. Commun.
Year: 2016

Currently, there is an increasing number of patients that are treated in home, mainly in countries such as Japan, USA and Europe. As well as this, the number of elderly people has increased significantly in the last 15 years and these people are often treated in home and at times enter into a critical situation that may require help (e.g. when facing an accident, or becoming depressed) Advances in ubiquitous computing and the Internet of Things (IoT) have provided efficient and cheap equipments that include wireless communication and cameras, such as smartphones or embedded devices like Raspberry Pi. Embedded computing enables the deployment of Health Smart Homes (HSH) that can enhance in home medical treatment. The use of camera and image processing on IoT is still an application that has not been fully explored in the literature, especially in the context of HSH. Although use of images has been widely exploited to address issues such as safety and surveillance in the house, they have been little employed to assist patients and/or elderly people as part of the home care systems. In our view, these images can help nurses or caregivers to assist patients in need of timely help, and the implementation of this application can be extremely easy and cheap when aided by IoT technologies. This article discusses the use of patient images and emotional detection to assist patients and elderly people within an in home healthcare context. We also discuss the existing literature and show that most of the studies in this area do not make use of images for the purpose of monitoring patients. In addition, there are few studies that take into account the patient's emotional state, which is crucial for them to be able to recover from a disease. Finally, we outline our prototype which runs on multiple computing platforms and show results that demonstrate the feasibility of our approach.
Generation of Spatial Temporal Panoramas with a Single Moving Camera
Venue: 2016 13th Conference on Computer and Robot Vision (CRV)
Year: 2016

Development of image stitching techniques, whichtake multiple images and stitch them together to make naturallooking panoramas, is an integral part of the new wave invisual media the 360 surround displays, such as the OculusRift. However, as compared to static image stitching, there hasbeen little research conducted on video stitching, especiallymethods of generating panoramic video content from a singlemoving video camera. In this paper we present an effectivemeans of creating video panorama from a single camera. Ourvideo stitching method allows for widening the field of view ofa video while maintaining spatial temporal consistency. In thisapproach, a single image warping transformation, orhomography, is obtained by averaging several rotationmatrices from several frames. The application of the samehomography to every frame, with fixed camera intrinsicparameters, provides enhanced stability of the resultingpanoramic video. This novel stitching method can be used for avariety of applications, such as allowing the creation ofpanoramic video with smartphones and enabling gaming andmovie companies to make panoramic video content in a flexibleand inexpensive manner.
Synthesis, structure activity relationship and biological evaluation of tetracationic gemini Dabco surfactants for transdermal liposomal formulations.
Venue: International journal of pharmaceutics
Year: 2019

In this study, we report the relationship between structure, self assembly behavior and antimicrobial activity of multicationic gemini surfactants and their successful use as stabilizers of a new liposomal formulation for transdermal drug delivery. New surfactants containing natural moiety 1,4 diazabicyclo[2.2.2]octane with four charges and two hydrophobic chains (n Dabco s Dabco n, where s 2, 12 and n=12, 14, 16, 18) were synthesized. A linear dependence of the CMC decrease, with the increase of the number of carbon atoms in alkyl groups (slope 0.23) was shown. The aggregation numbers of n Dabco 2 Dabco n are smaller than 30 and they decrease with increasing alkyl chain length. This is in compliance with the larger surface area per n Dabco 2 Dabco n molecule. New liposomal formulations loading Rhodamine B phosphatidylcholine (with mean size about 100 nm and increased zeta potential from 7+ 2 mV to +55+ 2 mV) have been successfully stabilized by n Dabco s Dabco n surfactants containing L a L a phosphatidylcholine. These formulations were designed to improve the bioavailability and skin permeation of loaded compound. The antibacterial activity of Dabco surfactants was shown to be strongly affected by their structure (alkyl chain length and number of charged nitrogen) 12 Dabco 2 Dabco 12 was the most active (MIC 0.48, 0.98 and 15.6 ug/mL against S. aureus, B. cereus and E. coli, respectively) without hemolytic activity at 3.1 ug/mL concentration. 14 Dabco 2 Dabco 14 liposomes were shown to be the best formulation, with the highest antibacterial activity against Sa (MIC 7.8 mg.mL 1) and lowest cytotoxicity (IC50 125) The modification of liposomes by Dabco surfactants stabilizes the membrane of the vesicles, preventing the release of rhodamine B and impairing the penetration of the dye across Strat M(r) membrane. Cellular uptake of rhodamine B loaded 12 Dabco 2 Dabco 12 liposomes was also reported. This is the first example of cationic mixed liposomes containing Dabco surfactants of potential interest for transdermal drug delivery.
Mining Entity Synonyms with Efficient Neural Set Generation
Venue: AAAI
Year: 2019

Mining entity synonym sets (i.e. sets of terms referring to the same entity) is an important task for many entity leveraging applications. Previous work either rank terms based on their similarity to a given query term, or treats the problem as a two phase task (i.e. detecting synonymy pairs, followed by organizing these pairs into synonym sets) However, these approaches fail to model the holistic semantics of a set and suffer from the error propagation issue. Here we propose a new framework, named SynSetMine, that efficiently generates entity synonym sets from a given vocabulary, using example sets from external knowledge bases as distant supervision. SynSetMine consists of two novel modules: (1) a set instance classifier that jointly learns how to represent a permutation invariant synonym set and whether to include a new instance (i.e. a term) into the set, and (2) a set generation algorithm that enumerates the vocabulary only once and applies the learned set instance classifier to detect all entity synonym sets in it. Experiments on three real datasets from different domains demonstrate both effectiveness and efficiency of SynSetMine for mining entity synonym sets.
Ion mobility spectrometry and its applications in detection of chemical warfare agents.
Venue: Analytical chemistry
Year: 2010

When fast detection of chemical warfare agents in the field is required, the ion mobility spectrometer may be the only suitable option. This article provides an essential survey of the different ion mobility spectrometry detection technologies. To listen to a podcast about this feature, please go to the Analytical Chemistry multimedia page at pubs.acs.org/page/ancham/audio/index.html.
Performance analysis for emission and combustion of Methanol blend diesel fuel in CI engine using glow plug
Venue: Frontiers in Automobile and Mechanical Engineering 2010
Year: 2010

A single cylinder vertical air cooled diesel engine was modified to use Methanol fuel mode to study the performance, emission, and combustion characteristics. The primary fuel, Methanol with air, compressed, and ignited by a small pilot spray of diesel. Dual fuel engine showed a reduction in oxides of Nitrogen and smoke in the entire load range. However, it suffers from the problem of poor brake thermal efficiency and high hydrocarbon and carbon monoxide emissions, particularly at lower loads due to poor ignition. In order to improve the performance at lower loads, a glow plug was introduced inside the combustion chamber. The brake thermal efficiency improved by 3% in the glow plug assisted dual fuel mode, especially at low load, and also reduced the hydrocarbon, carbon monoxide, and smoke emissions by 69% 50% 9% respectively. The presence of glow plug had no effect on oxides of Nitrogen.
Exopolysaccharides: Production and Application in Industrial Wastewater Treatment
Year: 2020

In recent decades, polysaccharide molecules of plant, bacterial, and fungal origin have been extensively researched due to their multi functionality. Various kinds of polysaccharides produced by plants, viz. cellulose, pectin, and starch; algae, viz. agar, alginate, and carrageenan; and bacteria, viz. alginate, dextran, gellan, pullulan, and xanthan gum) are commonly used as food additives for their gelling, stabilizing, or thickening properties (Sutherland IW. Microbiology SGM 147:3 9, 2001a) Both prokaryotes and eukaryotes are able to produce exopolysaccharides (EPSs) prokaryotes such as eubacteria and archaebacteria and eukaryotes such as phytoplankton, fungi, and algae have now got more research attention (Houghton J, Quarmby J, Stephenson T. Water Sci Technol 44(2):373 379, 2001) Bacteria carry the EPS as their metabolic products which accumulate on the cell surface (Kumar AS, Mody K, Jha B. J Basic Microbiol 47:103 117, 2007a) The composition of EPS has a variety of organic and inorganic substances which have structural variable like either homopolysaccharides such as dextran, mutan, and levan or heteropolysaccharides. Application of various nano material, prepared as bionanoparticles, helpful to treat industrial waste water.
Sociobiology of communication an interdisciplinary perspective
Year: 2008

Foreword 1. The Handicap Principle and Signalling in Collaborative Systems 2. Communication in Bacteria 3. Communication in Social Networks of Territorial Animals: Networking at Different Levels in Birds and Other Systems 4. Communication between Hosts and Social Parasites 5. Chemical Communication and the Coordination of Social Interactions in Insects 6. Chemical Communication in Societies of Rodents 7. Neurobiology of Olfactory Communication in the Honeybee 8. Rapid Evolution and Sexual Signals 9. Communication of Mate Quality in Humans 10. The Extended Phenotype within the Colony and how it Obscurers Social Communication 11. Synergy in Social Communication 12.  Genomic Imprinting and Internal Communication 13. Genomic Imprinting and Psychosis in the Origin and Evolution of Modern Humans 14. The Evolution of Human Communication and Language 15. Why Teach? The Evolutionary Origins and Ecological Consequences of Costly Information Transfer 16. Grades of Signalling 17.
No Evidence of a Common DNA Variant Profile Specific to World Class Endurance Athletes
Venue: PloS one
Year: 2016

There are strong genetic components to cardiorespiratory fitness and its response to exercise training. It would be useful to understand the differences in the genomic profile of highly trained endurance athletes of world class caliber and sedentary controls. An international consortium (GAMES) was established in order to compare elite endurance athletes and ethnicity matched controls in a case control study design. Genome wide association studies were undertaken on two cohorts of elite endurance athletes and controls (GENATHLETE and Japanese endurance runners) from which a panel of 45 promising markers was identified. These markers were tested for replication in seven additional cohorts of endurance athletes and controls: from Australia, Ethiopia, Japan, Kenya, Poland, Russia and Spain. The study is based on a total of 1520 endurance athletes (835 who took part in endurance events in World Championships and/or Olympic Games) and 2760 controls. We hypothesized that world class athletes are likely to be characterized by an even higher concentration of endurance performance alleles and we performed separate analyses on this subsample. The meta analysis of all available studies revealed one statistically significant marker (rs558129 at GALNTL6 locus, p 0.0002) even after correcting for multiple testing. As shown by the low heterogeneity index (I2 0) all eight cohorts showed the same direction of association with rs558129, even though p values varied across the individual studies. In summary, this study did not identify a panel of genomic variants common to these elite endurance athlete groups. Since GAMES was underpowered to identify alleles with small effect sizes, some of the suggestive leads identified should be explored in expanded comparisons of world class endurance athletes and sedentary controls and in tightly controlled exercise training studies. Such studies have the potential to illuminate the biology not only of world class endurance performance but also of compromised cardiac functions and cardiometabolic diseases.
Reducing Risk in KYC (Know Your Customer) for large Indian banks using Big Data Analytics
Year: 2014

KYC (Know Your Customer) is becoming a critical gatekeeper process for financial institutions, the world over, to safeguard against financial frauds, terrorist funding and money laundering. It involves collecting basic identity address information about the customer. Regulatory agencies have been coming down heavily on defaulting organizations thereby forcing many of them to invest in state of the art financial transaction surveillance systems. One of the biggest challenges that the industry faces while it steps up monitoring is the sheer size of the data, speed of generation of this data and complexity arising out of multiple non standard formats. World continues to generate data at an unprecedented pace. This generation calls it Big Data. Traditional data warehousing techniques, that have stood the test of time, have lately failed to deal with volume, velocity variety of data (Big Data) This is where Big Data Analytics has emerged victorious. Rather than relying on structured data techniques, Big Data analytics attempts to rely on basic techniques like pattern matching, divide conquer decentralized processing to solve real life problems. Though this technology is still new but it has already shown signs of maturity. This paper attempts to study Know Your Customer process, articulate the challenges involved and highlights the shortcomings that the systems today have in effectively implementing KYC guidelines(especially in large Indian banks) It then, using real life examples, presents a credible solution using Big Data Analytic techniques like Fuzzy Matching MapReduce. Authors are confident that the framework of the solution that has been provided can lead to a working prototype in a short span of time.
Multi parametric hydrogels support 3D in vitro bioengineered microenvironment models of tumour angiogenesis.
Venue: Biomaterials
Year: 2015

Tumour microenvironment greatly influences the development and metastasis of cancer progression. The development of three dimensional (3D) culture models which mimic that displayed in vivo can improve cancer biology studies and accelerate novel anticancer drug screening. Inspired by a systems biology approach, we have formed 3D in vitro bioengineered tumour angiogenesis microenvironments within a glycosaminoglycan based hydrogel culture system. This microenvironment model can routinely recreate breast and prostate tumour vascularisation. The multiple cell types cultured within this model were less sensitive to chemotherapy when compared with two dimensional (2D) cultures, and displayed comparative tumour regression to that displayed in vivo. These features highlight the use of our in vitro culture model as a complementary testing platform in conjunction with animal models, addressing key reduction and replacement goals of the future. We anticipate that this biomimetic model will provide a platform for the in depth analysis of cancer development and the discovery of novel therapeutic targets.
Action recognition based on 2D skeletons extracted from RGB videos
Year: 2019

In this paper a methodology to recognize actions based on RGB videos is proposed which takes advantages of the recent breakthrough made in deep learning. Following the development of Convolutional Neural Networks (CNNs) research was conducted on the transformation of skeletal motion data into 2D images. In this work, a solution is proposed requiring only the use of RGB videos instead of RGB D videos. This work is based on multiple works studying the conversion of RGB D data into 2D images. From a video stream (RGB images) a two dimension skeleton of 18 joints for each detected body is extracted with a DNN based human pose estimator called OpenPose. The skeleton data are encoded into Red, Green and Blue channels of images. Different ways of encoding motion data into images were studied. We successfully use state of the art deep neural networks designed for image classification to recognize actions. Based on a study of the related works, we chose to use image classification models: SqueezeNet, AlexNet, DenseNet, ResNet, Inception, VGG and retrained them to perform action recognition. For all the test the NTU RGB+D database is used. The highest accuracy is obtained with ResNet: 83.317% cross subject and 88.780% cross view which outperforms most of state of the art results.
Smartphone Based Telemedicine Supported by Pico Satellite Constellation
Year: 2019

Many people in developing countries are required to travel for several hours to see a doctor. The concept of so called telemedicine accompanied with developments in the field of wireless communications may improve the health care. Here presented telemedicine system is for a distance consultation. It is based on a pocket smartphone using its camera to develop a video broadcasting mission for a real time consultation. However, developing countries in the Middle East and North Africa suffer network coverage in most areas. To overcome this issue, the system includes a software defined radio in order to integrate the small satellite technology in the telemedicine routine. The proposed pico satellite constellation can provide an interesting solution for near real time transmission, which will significantly improve the health care in remote areas.
Quantization of Generative Adversarial Networks for Efficient Inference: a Methodological Study
Venue: ArXiv
Year: 2021

Generative adversarial networks (GANs) have an enormous potential impact on digital content creation, e.g. photo realistic digital avatars, semantic content editing, and quality enhancement of speech and images. However, the performance of modern GANs comes together with massive amounts of computations performed during the inference and high energy consumption. That complicates, or even makes impossible, their deployment on edge devices. The problem can be reduced with quantization a neural network compression technique that facilitates hardware friendly inference by replacing floating point computations with low bit integer ones. While quantization is well established for discriminative models, the performance of modern quantization techniques in application to GANs remains unclear. GANs generate content of a more complex structure than discriminative models, and thus quantization of GANs is significantly more challenging. To tackle this problem, we perform an extensive experimental study of state of art quantization techniques on three diverse GAN architectures, namely StyleGAN, Self Attention GAN, and CycleGAN. As a result, we discovered practical recipes that allowed us to successfully quantize these models for inference with 4/8 bit weights and 8 bit activations while preserving the quality of the original full precision models.
Gratitude and Resentment in China Japan Relations: Japan's Official Development Assistance and China's Renunciation of War Reparations
Year: 2018

In this article I explore the connection between historically based emotional issues and economic interests in China Japan relations by analyzing the linkage between China's renunciation of war reparations and Japan's official development assistance (ODA) to China. I argue that there is no legal linkage between the two, and previous scholarship about the linkage between the ODA and reparations involves emotional arguments or entanglements surrounding "assistance" and "history." I conclude that, in explaining China Japan relations, there exists a "dual gratitude theory," related to history and assistance, as well as a "dual obligation and enmity theory." In the first decade of the twenty first century, the chain reaction of mutual recrimination between the two countries became increasingly unmanageable, apparently continuing to the present day.
Estres academico, estrategias de afrontamiento y relacion con el rendimiento academico en universitarios. Estudio teorico
Year: 2019

El estres se considera un fenomeno positivo que permite estar alerta, y rendir adecuadamente ante las diferentes demandas del ambiente. De otro lado, el estres se identifica como un fenomeno negativo cuando sus niveles son elevados y sobrepasan los recursos internos de la persona, creando en el individuo consecuencias que afectan significativamente el rendimiento academico y negativamente la salud fisica y mental (Bedoya, Perea y Ordeno, 2006) El ambito universitario se identifica por la presencia de elevados niveles de estres, ya que se percibe como un ambiente nuevo de interaccion social, que exige la atencion del estudiante y ejecucion de responsabilidades y obligaciones academicas (Mazo, Londono y Gutierrez, 2013) De esta forma, el estres academico es un fenomeno que se manifiesta en los estudiantes de todas las edades y niveles educativos, generando en ellos alteraciones negativas en su respuestas cognitivas, motoras y fisiologicas, lo cual se evidencia de forma desfavorable en el rendimiento academico de los estudiantes, influyendo, tanto en sus bajas calificaciones como en el abandono o desercion de los procesos academicos (Feldman, Goncalves, Chacon, Zaragoza, Bages y De Pablo, 2008) De igual manera, la presencia de niveles adecuados de estres academico en estudiantes universitarios genera un estado de alerta pertinente para la consecucion y cumplimiento de las tareas y exigencias propias de la vida universitaria (Roman, Ortiz, y Hernandez, 2008) Barraza, (2006) clasifica los sintomas del estres academico como fisicos, psicologicos y comportamentales. Originando en los estudiantes universitarios sintomas fisicos como: insomnio, cansancio ante las actividades extracurriculares, dolor de cabeza, problemas de digestion, temblor en las manos o pies, entre otros; dentro de los sintomas comportamentales se destacan el aislamiento, apatia, desinteres en la realizacion de tareas academicas, surgimiento de conflictos, peleas entre los mismos estudiantes y docentes, confrontaciones que afectan significativamente las areas academicas como las personales e ingesta de consumo de sustancias psicoactivas. Por ultimo, en los sintomas psicologicos se hallan, inquietud, tristeza, angustia ante la percepcion de no poder manejar una situacion, problemas de concentracion a la hora de estudiar o en los diferentes contextos de aprendizaje, bloqueos mentales en examenes o exposiciones y por ultimo olvidos. Lo descrito anteriormente podria repercutir de forma negativa en el rendimiento academico, a nivel social, en la salud fisica y mental de los estudiantes universitarios (Mazo, Londono y Gutierrez, 2013)