nils-herrmann/clean_scirepeval huggingface dataset:
Evaluation of noise pollution related to human perception in a university campus in Brazil
Year: 2020

Noise pollution has been identified as an urban environmental problem in developing universities campuses. Excessive noise in areas with educational activities can lead to low performance of lecturers, students and staff. Therefore, this paper aims to identify the influence of sound pressure on the user perception and behaviour in a sector of a university campus in Brazil. This research was developed from on site sound measurements in 32 outdoor and 11 indoor spots in the Federal University of Juiz de Fora. In addition, questionnaires were applied to 140 volunteers including lecturers, students and staff. Data captured by these measurements were compared to the national regulations NBR 10.151 and NBR 10.152 as well as to the World Health Organization (WHO) recommendations. Finally, measurement results were confronted with the users' answers. Results indicated that 87% and 53% of the outdoor measurements exceeded the limits determined by NBR 10.151 and WHO, respectively, mainly due to vehicle traffic and people's conversation. Regarding the internal spots, all measurements surpassed the recommended limits, reaching a peak of 77% above the threshold value. However, the sound disturbance is not always clearly perceived as only 55% of volunteers reported being bothered by noise and among them, only half try to solve it while studying or working. This study contributes with a comparison between quantitative and qualitative results warranting attention to the dealing of noise pollution at university campuses.
VEHICLE NUMBER PLATE, SPEED AND TYPE DETECTION USING DEEP NEURAL NETWORK
Year: 2021

Visual identification of the vehicle number plates and detecting the speed of the vehicle in a crowded traffic is a tedious process for humans. This paper proposes a detection technique that detects the vehicle number, it's speed and the type of the vehicle automatically by using deep neural network with MobileNet architecture. The proposed model starts with character recognition and identification based on the number plate extraction and template matching. Moreover, the advantages of this technique are that it doesn't required the size of the number plate for detection. The MobileNet architecture in deep neural network reduces the average computation time, size and number of layers and offers very less overfitting as compared to the other neural networks. By using the deep neural network, we can identify the speed, number and type of the vehicle more accurately while compared to the other existing image processing methods Keywords Image processing, Deep Neural Network, Character recognition, template matching, MobileNet architecture
Pectin capped gold nanoparticles synthesis in situ for producing durable, cytocompatible, and superabsorbent hydrogel composites with chitosan.
Venue: International journal of biological macromolecules
Year: 2020

Studies report the production of gold nanoparticles (AuNPs) and polysaccharides based composites. However, there are few reports about AuNPs synthesis in situ followed by the formation of hydrogel composites. Here, we show AuNPs synthesis in situ into the pectin solutions to yield cytocompatible pectin capped AuNPs/chitosan hydrogel composites. Visible spectroscopy and dynamic light scattering measurements confirm the AuNPs synthesis. The hydrodynamic radius of the pectin capped AuNPs ranges from approximately 510 to 721 nm, while the Zeta potential is around 43 mV. Scanning electron microscopy shows that the composites present compact structures. Fourier transform infrared spectroscopy, and X ray photoelectron spectroscopy characterize the composites as well. Hydrogels (with or without AuNPs) containing the highest pectin content (at 4.12 pectin/chitosan weight ratio) have low stability (disintegrates approximately 60% after 14 days in phosphate buffer) Composites obtained at 3.75 pectin/chitosan weight ratio disintegrate between 25 and 30% after 14 days in phosphate buffer (physiological condition pH 7.4) The AuNPs reinforce the hydrogel structures, increasing the elastic modulus (from 3.5 to 7.6 Pa) and decreasing the water uptake from 4465 to 2976% 3.75 PT/CS weight ratio and 3.0 x 10 4 M Au(III) content provide a durable, cytocompatible, and superabsorbent hydrogel composite. These properties can support materials for drug delivery purposes.
BANANA: when Behavior ANAlysis meets social Network Alignment
Venue: IJCAI
Year: 2020

Recently, aligning users among different social networks has received significant attention. However, most of the existing studies do not consider users' behavior information during the aligning procedure and thus still suffer from the poor learning performance. In fact, we observe that social network alignment and behavior analysis can benefit from each other. Motivated by such an observation, we propose to jointly study the social network alignment problem and user behavior analysis problem. We design a novel end to end framework named BANANA. In this framework, to leverage behavior analysis for social network alignment at the distribution level, we design an earth mover's distance based alignment component to fuse users' behavior information for more comprehensive user representations. To further leverage social network alignment for behavior analysis, in turn, we design a temporal graph neural network component to fuse behavior information in different social networks based on the alignment result. Two models above can work together in an end to end manner. Through extensive experiments on real world datasets, we demonstrate that our proposed approach outperforms the state of the art methods in the social network alignment task and the user behavior analysis task, respectively.
An overview of the challenges and trade offs in closing the loop of post consumer plastic waste (PCPW) Focus on recycling.
Venue: Journal of hazardous materials
Year: 2019

Recycling of post consumer plastic waste (PCPW) is increasingly promoted as the means to achieving circular economy (CE) It converts plastic waste into a secondary material that can be fed back into the system, for use in the same or new components and products, with similar or lower functionality; hence "closing the loop" Up until today, research on examining the environmental impacts, economic implications and technicalities of plastic waste recycling deals with one particular aspect, or stage on the plastic value chain, lacking coherence and structure. To move this research forward, understanding the challenges and trade offs in scaling up plastic waste recycling is necessary. Here, we bring together existing literature on the multi faceted aspects of closing the plastic loop, critically debating on the multi stakeholder endeavours of promoting circularity in the plastics value chain. We present an overview of how the design, production, collection and sorting of PCPW present challenges for plastic waste recycling, which in turn result to a number of trade offs. We explain that the evaluation of the multi dimensional implications of trade offs arising from the PCPW recycling, is essential in measuring the long term sustainability of resource recovery from waste systems. This work scrutinises the sustainability of closing the plastic waste loops and sets a future research agenda.
2D Browsing Software and 3D PDF of Canine Ear Based on Real Color Sectioned Images
Year: 2019

Dog ear is very important because of disease vulnerability. Therefore, gross anatomy and sectional anatomy on CT and MRI of the dog ear should be mastered by veterinarian. The purpose of this research was to present the digital atlases whic h high quality sectioned images and 3D models of detailed structures of dog ear could be displayed freely. In the sectioned images of a female beagle, ear structures were reconstructed by surface modeling to make 3D models. The sectioned images and 3D models were put in to the browsing software and PDF file, respectively. Using the browsing software and the PDF file, gross and radiological anatomy of dog ear could be learned easily and accurately. The auditory tube of a dog was placed anterior to the tympanic cavity unlike human. The tensor tympani muscle of a dog was connected to the dorsal wall of the tympanic cavity with the malleus. No remarkable differen ce in the auditory ossicles, semicircular ducts, facial nerve, and endolymphatic duct was observed between dogs and humans. The software and the PDF file will be provided to other researchers freely to help contribute to veterinary research and education.
Prevalence and determinants of anaemia in women of reproductive age in Sudan: analysis of a cross sectional household survey
Venue: BMC Public Health
Year: 2020

Anaemia is a global health problem and women in reproductive age (WRA) are amongst the most affected population. Its consequences include low birth weight and maternal mortality. This study aimed to assess the prevalence of anaemia and to identify its determinants in Sudanese women in reproductive age. A population based cross sectional study was conducted in Sudan in 2016. A multi stage stratified cluster sampling design was executed with consideration of rural population, urban population, and internally displaced persons/refugees camps residents. All women in reproductive age (15 49 years) classified by pregnancy status, in the targeted households were surveyed and personal characteristic data were collected. Their haemoglobin level and malaria infection (using rapid diagnostic test, RDT) were assessed. The World Health Organization (WHO) haemoglobin level cut off for defining anaemia and severe anaemia in pregnant and non pregnant women was used. Logistic regression analyses were performed. A total of 4271 women (WRA) of which 421 (9.9% pregnant women (PW) were included in the study. The overall anaemia prevalence in WRA was 35.6% It was 36.0 and 35.5% in PW and non pregnant women (NPW) respectively. The average haemoglobin level was found to be 113.9 g/L (SD 16.3) and 123.2 g/L (SD 15.7) for PW and NPW respectively. Severe anaemia prevalence was 1.2% in each group. In the logistic regression model, anaemia was associated with malaria infection in PW (aOR 4.100, 95%CI 1.523 11.039, p 0.003) NPW (aOR 2.776, 95%CI 1.889 4.080, p 0.001) and WRA (aOR 2.885, 95%CI 2.021 4.119, p 0.001) Other identified determinants of anaemia in NPW was living in camps (aOR 1.499, 95%CI 1.115 2.017, p 0.007) and in WRA was being in the poorest economic class (aOR 1.436, 95%CI 1.065 1.936, p 0.018) Anaemia is a public health problem in Sudan. The study supported the association between malaria infection and anaemia, but not with low and moderate malaria transmission areas. Resources need to be allocated for all anaemic populations with special attention for the populations in most need and interventions need to be implemented based on local variations. Malaria control interventions, specifically case management, may have a major impact in reducing anaemia prevalence in low to moderate malaria transmission areas.
Implementation of a robot control architecture for additive manufacturing applications
Venue: Ind. Robot
Year: 2019

Additive manufacturing (AM) technologies have recently turned into a mainstream production method in many industries. The adoption of new manufacturing scenarios led to the necessity of cross disciplinary developments by combining several fields such as materials, robotics and computer programming. This paper aims to describe an innovative solution for implementing robotic simulation for AM experiments using a robot cell, which is controlled through a system control application (SCA)  For this purpose, the emulation of the AM tasks was executed by creating a robot working station in RoboDK software, which is responsible for the automatic administration of additive tasks. This is done by interpreting gcode from the Slic3r software environment. Posteriorly, all the SCA and relevant graphical user interface (GUI) were developed in Python to control the AM tasks from the RoboDK software environment. As an extra feature, Slic3r was embedded in the SCA to enable the generation of gcode automatically, without using the original user interface of the software. To sum up, this paper adds a new insight in the field of AM as it demonstrates the possibility of simulating and controlling AM tasks into a robot station.  The purpose of this paper is to contribute to the AM field by introducing and implementing an SCA capable of executing/simulating robotic AM tasks. It also shows how an advanced user can integrate advanced simulation technologies with a real AM system, creating in this way a powerful system for R&D and operational manufacturing tasks. As demonstrated, the creation of the AM environment was only possible by using the RoboDk software that allows the creation of a robot working station and its main operations.  Although the AM simulation was satisfactory, it was necessary to develop an SCA capable of controlling the whole simulation through simple commands instructed by users. As described in this work, the development of SCA was entirely implemented in Python by using official libraries. The solution was presented in the form of an application capable of controlling the AM operation through a server/client socket connection. In summary, a system architecture that is capable of controlling an AM simulation was presented. Moreover, implementation of commands in a simple GUI was shown as a step forward in implementation of modern AM process controls.
Cyberspace Safety and Security: 5th International Symposium, CSS 2013, Zhangjiajie, China, November 13 15, 2013, Proceedings
Venue: Lecture Notes in Computer Science
Year: 2013

A Crawler Guard for Quickly Blocking Unauthorized Web Robot. Privacy Preserving for Location Based Services Using Location Transformation.  A Fast Chaos Based Symmetric Image Cipher with a Novel Bit Level Permutation Strategy. Preserving User Privacy in the Smart Grid by Hiding Appliance Load Characteristics. Cancelable Fingerprint Templates with Delaunay Triangle Based Local Structures. Towards a Security Enhanced Firewall Application for OpenFlow Networks. Online Mining of Attack Models in IDS Alerts from Network Backbone by a Two Stage Clustering Method. Detection of Covert Botnet Command and Control Channels by Causal Analysis of Traffic Flows. Situation Calculus and Graph Based Defensive Modeling of Simultaneous Attacks. Geolocation and Verification of IP Addresses with Specific Focus on IPv6. Fast Scalar Multiplication on Elliptic Curve Cryptography in Selected Intervals Suitable for Wireless Sensor Networks.  A Survey and Taxonomy. Construction and Verification of Mobile Ad Hoc Network Protocols. Zero Day Traffic Identification. Design and Implementation of a Testbed for the Security Assessment of MANETs. A Bio inspired Jamming Detection and Restoration for WMNs: In View of Adaptive Immunology. Anonymous Identity Based Broadcast Encryption with Adaptive Security. Hierarchical Identity Based Signature with Short Public Keys. PeerViewer: Behavioral Tracking and Classification of P2P Malware. Selecting Features for Anomaly Intrusion Detection: A Novel  Using Fuzzy C Means and Decision Tree Classification. Detecting Stepping Stones by Abnormal Causality Probability. Algebra Based Behavior Identification of Trojan Horse. Cryptanalysis and Improvement of an ECC Based Password Authentication Scheme Using Smart Cards. The Hot Spots Problem in Windows 8 Graphical Password Scheme. Static Detection of Dangerous Behaviors in Android Apps. A Ciphertext Policy Attribute Based Encryption Scheme Supporting Keyword Search Function. A Trust Model Using Implicit Call Behavioral Graph for Mobile Cloud Computing.  A Visualization System for Network Security Situational Awareness. Security and Quantum Communications Quantum Secret Sharing Based on Chinese Remainder Theorem in Hyperchaotic System. Restraining and Characterization of Virus Propagation in Large Scale Wireless LAN. An Improved Differential Fault Analysis Attack to AES Using Reduced Searching Space. An Out of the Box Dynamic Binary Analysis Tool for ARM Based Linux. Towards an Open Framework Leveraging a Trusted Execution Environment. Secure Re publication of Dynamic Big Data.
Study of Glass Fibre Reinforced Concrete
Year: 2016

Plain concrete possess very low tensile strength, limited ductility and little resistance to cracking. Internal micro cracks are inherently present in concrete and its poor tensile strength is due to propagation of such micro cracks. Fibers when added in certain percentage in the concrete improve the strain properties well as crack resistance, ductility, as flexure strength and toughness. Mainly the studies and research in fiber reinforced concrete has been devoted to steel fibers. In recent times, glass fibers have also become available, which are free from corrosion problem associated with steel fibers. The present paper outlines the experimental investigation conducts on the use of glass fibers with structural concrete. CEM FILL anti crack, high dispersion, alkali resistance glass fiber of diameter 14 micron, having an aspect ratio 857 was employed in percentages varying from 0.33 to1 percentage by weight in concrete and the properties of this FRC (fiber reinforced concrete) like compressive strength, flexure strength, toughness, modulus of elasticity were studied.
Telerehabilitation services: a successful paradigm for occupational therapy clinical services?
Year: 2020

This review sheds light on telehealth and telerehabilitation services with a focus in occupational therapy practice It summarizes clinical and research applications benefits and impact limitations barriers and current needs and recommendations for future adoption of more evidence based occupational therapy telehealth services Our review confirmed that telehealth is useful and can be an appropriate remote service delivery model for occupational therapy Telehealth connects clients with occupational therapists through information and communication technologies thereby improving easy access to services for underserved populations when in person encounters are not possible or practical Telerehabilitation provides occupational therapists and other healthcare professionals with flexibility to continue treating their patients while following best practices and ethical standards Telehealth is needed nowadays more than ever and more research is recommended to further address current and future challenges and support expansion of telehealth applications in the field of rehabilitation and occupational therapy
Effects of 3D Antenna Radiation and Two Hop Relaying on Optimal UAV Trajectory in Cellular Networks
Venue: 2019 IEEE Aerospace Conference
Year: 2019

In this paper, considering an interference limited inband downlink cellular network, we study the effects of scheduling criteria, mobility constraints, path loss models, backhaul constraints, and 3D antenna radiation pattern on trajectory optimization problem of an unmanned aerial vehicle (UAV) In particular, we consider a UAV that is tasked to travel between two locations within a given amount of time (e.g. for delivery or surveillance purposes) and we consider that such a UAV can be used to improve cellular connectivity of mobile users by serving as a relay for the terrestrial network. As the optimization problem is hard to solve numerically, we explore the dynamic programming (DP)technique for finding the optimum UAV trajectory. We utilize capacity and coverage performance of the terrestrial network while studying all the effects of different techniques and phenomenon. Extensive simulations show that the maximum sum rate trajectory provides the best per user capacity whereas, the optimal proportional fair (PF)rate trajectory provides higher coverage probability than the other two. Since, the generated trajectories are infeasible for the UAV to follow exactly as it can not take sharp turns due to kinematic constraints, we generate smooth trajectory using Bezier curves. Our results show that the cellular capacity using the Bezier curves is close to the capacity observed when using the optimal trajectories.
K13 Propeller Polymorphisms in Plasmodium falciparum Parasites From Sub Saharan Africa
Venue: The Journal of infectious diseases
Year: 2015

Mutations in the Plasmodium falciparum K13 propeller domain have recently been shown to be important determinants of artemisinin resistance in Southeast Asia. This study investigated the prevalence of K13 propeller polymorphisms across sub Saharan Africa. A total of 1212 P. falciparum samples collected from 12 countries were sequenced. None of the K13 propeller mutations previously reported in Southeast Asia were found, but 22 unique mutations were detected, of which 7 were nonsynonymous. Allele frequencies ranged between 1% and 3% Three mutations were observed in >1 country, and the A578S was present in parasites from 5 countries. This study provides the baseline prevalence of K13 propeller mutations in sub Saharan Africa.
Ten years of transcriptomics in wild populations: what have we learned about their ecology and evolution?
Venue: Molecular ecology
Year: 2015

Molecular ecology has moved beyond the use of a relatively small number of markers, often noncoding, and it is now possible to use whole genome measures of gene expression with microarrays and RNAseq (i.e. transcriptomics) to capture molecular response to environmental challenges. While transcriptome studies are shedding light on the mechanistic basis of traits as complex as personality or physiological response to catastrophic events, these approaches are still challenging because of the required technical expertise, difficulties with analysis and cost. Still, we found that in the last 10 years, 575 studies used microarrays or RNAseq in ecology. These studies broadly address three questions that reflect the progression of the field: (i) How much variation in gene expression is there and how is it structured? (ii) How do environmental stimuli affect gene expression? (iii) How does gene expression affect phenotype? We discuss technical aspects of RNAseq and microarray technology, and a framework that leverages the advantages of both. Further, we highlight future directions of research, particularly related to moving beyond correlation and the development of additional annotation resources. Measuring gene expression across an array of taxa in ecological settings promises to enrich our understanding of ecology and genome function.