nils-herrmann/clean_scirepeval huggingface dataset:
Visible light activated N doped CQDs/g C3N4/Bi2WO6 nanocomposites with different component arrangements for the promoted degradation of hazardous vapors
Year: 2020

To investigate whether the arrangement of componentsin multi composite photocatalysts may affect their photocatalytic properties, due to different charge transfer routes, two ternary nanocomposite photocatalysts with different component arrangements, comprising N doped carbon quantum dots (NCQDs) g C3N4 (CN) and Bi2WO6 (BWO) (hereafter referred to as NCQDs/CN/BWO) were developed, and the photocatalytic degradation of model hazardous vapors under visible light illumination was investigated. Type I NCQDs/CN/BWO, which was developed by the combination of NCQDs/BWO and CN, exhibited photocatalytic ability superior to that of type II NCQDs/CN/BWO, which was developed by the combination of CN/BWO and NCQDs; the superior photocatalytic ability corresponded to the dual properties of NCQDs: charge mediation and upconversion photoluminescence. Moreover, the photocatalytic ability of NCQDs/CN/BWO was greater than those of the reference catalysts; in addition, this photocatalyst exhibited outstanding photochemical stability. Additionally, the effects of CN/(BWO CN) weight ratio of the CN/BWO dual nanocomposites and the NCQDs/(BWO CN NCQDs) weight percentage of NCQDs/CN/BWO ternary nanocomposites on the pollutant removal efficiency were investigated. The plausible mechanisms over the two NCQDs/CN/BWO photocatalysts for the degradation of hazardous vapors were discussed. The component arrangement approach proposed herein afforded a technique toward the perceptive development of novel multi component heterostructures for the photocatalytic degradation of hazardous vapors.
Folic acid conjugated chitosan derivative for tumor targeted magnetic resonance imaging
Year: 2016

Contrast agents with high efficiency and safety are excellent candidates as magnetic resonance imaging probes. In this study, a nanoparticle contrast agent based on chitosan was synthesized. The backbone was chitosan, and the side chains were low molecular oligoethylenimine, which possessed multiple primary amines to increase the grafting number of Gd DTPA per glucose ring. This macromolecular chitosan derivative covalently conjugated with folic acid offers a high loading density of Gd DTPA with targeting capacity. The r1 value was found to be 25.9 mM s, which was 5.4 times higher than Magnevist. The higher r1 value was mainly due to the increased rotational correlation time (tR) after conjugation of DTPA Gd onto chitosan chain and the increased loading density of Gd permolecule. No obvious cytotoxicitywas observed fromWSTassay,which illustrated that the chitosan derivative exhibited excellent biocompatibility. During in vivo animal studies, the probe provided better signal intensity enhancement in the tumor after 5 h post injection. This study demonstrated that the developed oligoethylenimine grafted chitosan route was effective to increase the loading density of Gd and then significantly enhanced the relaxivity of the macromolecular contrast probes. Such an oligoethylenimine grafted chitosan derivative has great potential for developing sensitive and biocompatible MRI probe with targeting capability.
Design and development of a password based door lock security system
Year: 2015

This work is a design and development of a micro controller based, password enabled door lock for home security. The work involved building a working model of a security door lock that is password protected with an AT89C52 microcontroller which operates by sending control signals to a H bridge that controls the opening and closing of a model door connected to a stepper motor. Accessing and changing various information and settings are done via an electronic system that allows the user to enter secret pass codes via a 4 4 keypad and a 16 2 LCD display. The design incorporated a serial EEPROM that can retain the information during power outages and runs on available power from the mains supply. Once the circuit is plugged to the mains supply, the LCD displays the different menu functions and waits for data input from the keypad, the illustrative door slides open and close when a valid pass code is entered. The work was designed, developed, and tested and found to perform according to design objectives.  Security system, Microcontroller (AT89C52) Keypad access, EEPROM
Construction and Implementation of Raspberry Pi Based Baby Monitoring System
Year: 2019

Due to the difficulty faced by new born parents in doing their day to day tasks as well as care for their babies, a lot of parents have to hire a maid to assist them take care of their babies. However, a lot of maids have been confirmed to have some negative influence on these babies as they grow up and some could even expose these babies to so many unforeseen threats that could expose them to danger. In this study, construction and implementation of a baby monitoring system was carried out using a Raspberry Pi and wireless sensor network (WSN) Various devices and sensors such as sound sensor, motion sensor, camera, and temperature and humidity sensor were interconnected and used for monitoring the babies' room. The system was programmed using python 3.6 and Java 8.0 programming language, while Pubnub 4.4 data streaming network was used for real time data streaming and device signalling. Results show that the system publishes data to an external smart phone and receive command from the smart phone successfully over the internet. From the temperature and humidity test on a sunny day with and without a fan as well as on a cloudy day shows that fan is not a suitable cooling system and the humidity of the room was always high. The system can be improved upon by using a more effective alarming system, introducing machine learning and port forwarding.
On C E Translation of Movie Names Based on Skopostheorie
Venue: Region Educational Research and Reviews
Year: 2019

Movie name, as an indispensable component of the movie as a whole, is used to transmit the ideas of the movies, please audiences with aesthetic value, and enhance the interests of watchers to watch it. Skopos theory highlights the importance of both the translator and the culture and it makes the translator find a suitable mode to translate the names of movies. Movie name translation has become a important part of translation studies. Skopos theory can lead the translator to do a rendering of movie names while he/she knows the objectives of translation.
Semantic 3D Object Maps for Everyday Robotic Retail Inspection
Venue: ICIAP Workshops
Year: 2019

In retail field, customer culture is shifting towards in store researching, and retailers need to re evaluate their location services to better assist customer. In store mapping help retailers learn how their employees are interacting and it satisfies user intent to search for products, something that is often ignored by retailers especially for the secondary placement, which contains offers and promotions that change very often. In this paper, we describe a retail robot that moves autonomously inside a store and gathers points cloud data for a semantic store mapping. With all the data collected, it is possible to build a 3D map of the store with the exact product locations. This retail robot combines the features of both Robotics and Artificial Intelligence. Three classification approach have been compared in order to achieve the best performances: a machine learning technique, PointNet+ and a novel Reflectance PointNet+ especially designed for this task. Experiments are performed in a real retail environment that is an Italian supermarket, during business hours. A dataset has been built and made publicly available. The application of our approach yields good results in terms of precision, recall and F1 score and demonstrates the effectiveness of the proposed approach.
4D Printing of Magnetically Functionalized Chainmail for Exoskeletal Biomedical Applications
Venue: MRS Advances
Year: 2019

Chainmail fabrics manufactured by selective laser sintering 3D printing have been magnetically functionalized to create a lightweight, 4D printed, actuating fabric. The post processing method involves submerging the porous prints in commercial ferrofluid (oil based magnetic liquid) followed by drying under heat. The actuation of the chainmail has been simulated using a rigid multi body physics engine, and qualitatively matches experiment. Such magnetically actuating fabrics have potential to make thin, lightweight and comfortable wearable assistive devices.
Spore forming Bacilli and Clostridia in human disease.
Venue: Future microbiology
Year: 2010

Many Gram positive spore forming bacteria in the Firmicute phylum are important members of the human commensal microbiota, which, in rare cases, cause opportunistic infections. Other spore formers, however, have evolved to become dedicated pathogens that can cause a striking variety of diseases. Despite variations in disease presentation, the etiologic agent is often the spore, with bacterially produced toxins playing a central role in the pathophysiology of infection. This review will focus on the specific diseases caused by spores of the Clostridia and Bacilli.
Bending Stress Analysis of Spur Gear
Year: 2020

Gears are widely used for the power and motion transmission in various systems. Gears are classified as spur, helical, bevel, worm etc. The spur gears are easy to manufacture and are used on parallel shafts. Spur gears are designed based on beam strength and wear strength criteria. In present study a spur gear is designed based on beam strength criteria analytically. Based on the calculations the gear has been modeled in CATIA V5. After this the same gear is imported in ANSYS Workbench 14.5 and its analysis is carried out with given boundary conditions. The analysis results of bending stress are compared with MATLAB code for further validation.
The impact of the 'open' workspace on human collaboration
Venue: Philosophical Transactions of the Royal Society B: Biological Sciences
Year: 2018

Organizations' pursuit of increased workplace collaboration has led managers to transform traditional office spaces into 'open' transparency enhancing architectures with fewer walls, doors and other spatial boundaries, yet there is scant direct empirical research on how human interaction patterns change as a result of these architectural changes. In two intervention based field studies of corporate headquarters transitioning to more open office spaces, we empirically examined using digital data from advanced wearable devices and from electronic communication servers the effect of open office architectures on employees' face to face, email and instant messaging (IM) interaction patterns. Contrary to common belief, the volume of face to face interaction decreased significantly (approx. 70% in both cases, with an associated increase in electronic interaction. In short, rather than prompting increasingly vibrant face to face collaboration, open architecture appeared to trigger a natural human response to socially withdraw from officemates and interact instead over email and IM. This is the first study to empirically measure both face to face and electronic interaction before and after the adoption of open office architecture. The results inform our understanding of the impact on human behaviour of workspaces that trend towards fewer spatial boundaries. This article is part of the theme issue 'Interdisciplinary approaches for uncovering the impacts of architecture on collective behaviour'
COMPARISON BETWEEN VISUAL INSPECTION OF CERVIX WITH ACETIC ACID (VIA) AND PAP SMEAR IN SCREENING OF CERVICAL CANCER IN RURAL SETUP
Year: 2017

In developing country like India cervical malignancy is a common, preventable and curable cause of morbidity and mortality .Worldwide pap smear is the most commonly used screening test for cervical lesions .VIA guided biopsy has been defined to be the gold standard method in diagnosing precancerous lesions of the cervix used in evaluation and management of cervical lesions. In present study we compare clinical performance of Visual Inspection With acetic acid (VIA) as a simple screening test and if it (VIA) would be an adequate alternative to PAP SMEAR in the screening for cancer cervix in low resource settings.  A cross sectional study was conducted in a tertiary care referral institute in 100 symptomatic women of 30 70 years. PAP smears were performed by the conventional method and VIA was done for all 100 women who came with complaints of white discharge per vagina, intermenstrual, or postcoital bleeding, etc. Final correlation of the PAP smear and VIA were based on biopsy reports.  VIA has more sensitivity but low specificity(76%(33% than PAP smear(26% (88.26%  It is evident that VIA is definitely more sensitive and accurate than pap smear. By combining pap smear with VIA, we can maximize the sensitivity and specificity of cancer cervix screening.
Hyperstability of Some Functional Equations on Restricted Domain
Year: 2017

The paper concerns functions which approximately satisfy, not necessarily on the whole linear space, a generalization of linear functional equation. A Hyers Ulam stability result is proved and next applied to give conditions implying the hyperstability of the equation. The results may be used as tools in stability studies on restricted domains for various functional equations. We use the main theorem to obtain a few hyperstability results of Frechet equation on restricted domain for different control functions.
Semi Martingales Et Grossissement Dune Filtration
Year: 2016

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TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension
Venue: ACL
Year: 2017

We present TriviaQA, a challenging reading comprehension dataset containing over 650K question answer evidence triples. TriviaQA includes 95K question answer pairs authored by trivia enthusiasts and independently gathered evidence documents, six per question on average, that provide high quality distant supervision for answering the questions. We show that, in comparison to other recently introduced large scale datasets, TriviaQA (1) has relatively complex, compositional questions, (2) has considerable syntactic and lexical variability between questions and corresponding answer evidence sentences, and (3) requires more cross sentence reasoning to find answers. We also present two baseline algorithms: a feature based classifier and a state of the art neural network, that performs well on SQuAD reading comprehension. Neither approach comes close to human performance (23% and 40% vs. 80% suggesting that TriviaQA is a challenging testbed that is worth significant future study. Data and code available at this http URL
Inertial Navigation System of Pipeline Inspection Gauge
Venue: IEEE Transactions on Control Systems Technology
Year: 2020

In this brief, a high accuracy inertial navigation system (INS) for a pipeline inspection gauge (PIG) is proposed. Two mechanization approaches are investigated. First, a full INS dynamic model is used, and second, a 3 D reduced inertial sensor system (RISS) is utilized. The INS uses the full inertial measurement unit (IMU) data to calculate the navigation solution, whereas the RISS uses an encoder, one single axis gyroscope, and two accelerometers. The RISS model is proposed in this brief for its better accuracy and less computational complexity. Due to the accumulated error in the INS or RISS solution, an extended Kalman filter is proposed to fuse the IMU data with PIG measurements. For the full INS model, these measurements are the encoder's derived velocity constraint and the detected pipe length measurement. On the other hand, for the RISS model, it only refers to the detected pipe length measurement. An experimental setup, with a prototype of the in pipe robot, is designed and built to test and validate our algorithms in a real pipe environment. Subsequently, the accuracy of the proposed algorithms is verified experimentally.
Effects of brand personality dimensions on consumers' perceived self image congruity and functional congruity with hotel brands
Year: 2017

Brand personality plays a key role in consumer brand psychology, but researchers and practitioners lack an adequate understanding of the efficacy of individual brand personality dimensions. Drawing on the theory of self congruity and an analysis of eight U.S. hotel brands, this study revealed the varying roles that brand personality plays in driving brand choice: in particular, consumers tend to express their self images through the brand personality dimensions known as Excitement and Sincerity, while relying on Sincerity and Competence to evaluate how consistent a hotel's functions are with their own preferences. The study also indicates that business travelers are more likely than leisure travelers to value functional congruity, while self image congruity is more important to leisure than business travelers. The paper offers hotel practitioners a better understanding of the personality dimensions they should position or strengthen for their hotel brands to deliver to customers based on each dimension's utility.
D2D Communication Mode Selection and Resource Optimization Algorithm With Optimal Throughput in 5G Network
Venue: IEEE Access
Year: 2019

Aiming at the problem of device to device (D2D) communication mode selection and resource optimization under the joint resource allocation mode in the 5G communication network, a probabilistic integrated resource allocation strategy and a quasi convex optimization algorithm based on channel probability statistical characteristics are proposed. This strategy and algorithm guarantee D2D. Communication maximizes total system throughput while maximizing access. The analysis results show that this algorithm can significantly optimize the total throughput of the system and reduce the communication interference between the users, which proves the rationality and efficiency of the communication model. The research results obtained in Muwen can provide a theoretical basis for analyzing more complex D2D communication systems and provide a numerical basis for designing heuristic algorithms.
Exploring Randomly Wired Neural Networks for Image Recognition
Venue: 2019 IEEE/CVF International Conference on Computer Vision (ICCV)
Year: 2019

Neural networks for image recognition have evolved through extensive manual design from simple chain like models to structures with multiple wiring paths. The success of ResNets and DenseNets is due in large part to their innovative wiring plans. Now, neural architecture search (NAS) studies are exploring the joint optimization of wiring and operation types, however, the space of possible wirings is constrained and still driven by manual design despite being searched. In this paper, we explore a more diverse set of connectivity patterns through the lens of randomly wired neural networks. To do this, we first define the concept of a stochastic network generator that encapsulates the entire network generation process. Encapsulation provides a unified view of NAS and randomly wired networks. Then, we use three classical random graph models to generate randomly wired graphs for networks. The results are surprising: several variants of these random generators yield network instances that have competitive accuracy on the ImageNet benchmark. These results suggest that new efforts focusing on designing better network generators may lead to new breakthroughs by exploring less constrained search spaces with more room for novel design.
A Review of Wireless Sensor Networks: Early Accident Detection Models for South African Mine Industries
Venue: 2019 Open Innovations (OI)
Year: 2019

South African mines have lived for over hundreds of years and each year accidents occur that leave mine workers injured or worse dead. The extraction of resources such as Gold, Platinum, Coal and Diamond have their own disadvantages such as mine workers being trapped underground, the failing of rooftops, the inhalation of dangerous gases such as methane and lastly the explosions of the mines. This study aims to implement an early accident detection model on the mines for the safety of the mine workers. The model consists of multiple sensors in a wireless sensor network platform, the processing unit and the ZigBee technology for more efficient communication and lastly a tracking unit for real time localization of the miners. The proposed model will adopt the wireless sensor network, redundancy system, real time monitoring, ZigBee technology and real time tracking.
Deep Learning vs. Traditional Computer Vision
Year: 2019

Deep Learning has pushed the limits of what was possible in the domain of Digital Image Processing. However, that is not to say that the traditional computer vision techniques which had been undergoing progressive development in years prior to the rise of DL have become obsolete. This paper will analyse the benefits and drawbacks of each approach. The aim of this paper is to promote a discussion on whether knowledge of classical computer vision techniques should be maintained. The paper will also explore how the two sides of computer vision can be combined. Several recent hybrid methodologies are reviewed which have demonstrated the ability to improve computer vision performance and to tackle problems not suited to Deep Learning. For example, combining traditional computer vision techniques with Deep Learning has been popular in emerging domains such as Panoramic Vision and 3D vision for which Deep Learning models have not yet been fully optimised
Damage Characteristics of TiD2 Films Irradiated by a Mixed Pulsed Beam of Titanium and Hydrogen Ions
Year: 2016

Titanium deuteride is an important nuclear material used in the field of nuclear technology, and further research is needed into TiD2 films irradiated by pulsed ion beams of the vacuum arc discharge with hydrogen. In the current study, these irradiated TiD2 films have been investigated using scanning electronic microscopy and slow positron annihilation techniques. Both the thermal effect and irradiation defects of TiD2 films were studied, following their irradiation with mixed pulsed ion beams of titanium and hydrogen ions. It is found that the thermal effect is trivial on the irradiated surfaces, and the dominant effect is irradiation defects which can be enhanced by repetitive shots and is characterized by the inner diffusion of irradiation defects.