nils-herrmann/clean_scirepeval huggingface dataset:
TikTok(tm) teens and isotretinoin: recommendations for identifying trending acne related content on the world's most popular social media platform
Venue: Clinical and experimental dermatology
Year: 2021

We enjoyed reading Roche et al.'s recent article published in Clinical and Experimental Dermatology, in which the authors discussed the potential for propagation of false, misleading, or harmful dermatologic information on TikTok.1 In reply, Nikookam and Guckian provided an interesting perspective regarding TikTok's potential for education in dermatology.2.
A Mathematical Model to describe the herd behaviour considering group defense
Year: 2020

A model for predator prey interactions with herd behaviour is proposed. Novelty includes a smooth transition from individual behaviour (low number of prey) to herd behaviour (large number of prey) The model is analysed using standard stability and bifurcations techniques. We prove that the system undergoes a Hopf bifurcation as we vary the parameter that represents the efficiency of predators (dependent on the predation rate, for instance) giving rise to sustained oscillations in the system. The proposed model appears to possess more realistic features than the previous approaches while being also relatively easier to analyse and understand.
High Throughput and Low Power Integrated Direct/Inverse HEVC Quantization Hardware Design
Venue: 2018 IEEE International Symposium on Circuits and Systems (ISCAS)
Year: 2018

This paper presents a high throughput and low power integrated HEVC direct/inverse quantization hardware design. The main focus of this design is to allow the evaluation of multiple coding modes during the residual encoding process of the HEVC for real time Ultra High Definition (UHD) video processing. The ASIC synthesis results, for a Nangate 45nm standard cell library, presented a maximum operational frequency of 1679.51MHz and a processing rate of 53.74 Gsps (giga samples per second) This throughput allows processing of real time up to 72 coding modes for UHD 4K@60fps or up to nine coding modes for the UHD 8K@120fps while dissipating 369.37mW.
The Diagnostic Validity of the 13 C Urea Breath Test in the Gastrectomized Patients Single Tertiary Center Retrospective Cohort Study
Year: 2014

This study was conducted to evaluate the diagnostic validity of the C urea breath test (C UBT) in the remnant stomach after partial gastrectomy for gastric cancer.  The C UBT results after Helicobacter pylori eradication therapy was compared with the results of endoscopic biopsy based methods in the patients who have received partial gastrectomy for the gastric cancer.  Among the gastrectomized patients who showed the positive C UBT results 2.5%0, n 47) and negative C UBT results 2.5%0, n 114) after H. pylori eradication, 26 patients (16.1% and 4 patients (2.5% were found to show false positive and false negative results based on biopsy based methods, respectively. The sensitivity, specificity, false positive rate, and false negative rate for the cut off value of 2.5%0 were 84.0% 80.9% 19.1% and 16.0% respectively. The positive and negative predictive values were 44.7% and 96.5% respectively. In the multivariate analysis, two or more H. pylori eradication therapies (odds ratio 3.248, 95% confidence interval= 1.088 9.695, P 0.035) was associated with a false positive result of the C UBT.  After partial gastrectomy, a discordant result was shown in the positive C UBT results compared to the endoscopic biopsy methods for confirming the H. pylori status after eradication. Additional endoscopic biopsy based H. pylori tests would be helpful to avoid unnecessary treatment for H. pylori eradication in these cases.
Verbal violence experiences of adults with serious mental illnesses.
Venue: Psychiatric rehabilitation journal
Year: 2016

Trauma experienced by individuals with serious mental illnesses extends beyond physical and sexual abuse. This is among the first studies to examine verbal violence, both spoken and written words, experienced by individuals with serious mental illnesses.  Fifty individuals diagnosed with a schizophrenia spectrum, bipolar, or major depressive disorder were recruited from community based mental health agencies and reported on their experiences with 8 types of verbal violence identified in the literature, or related written comments, including: belittling, insulting, name calling, teasing/embarrassing, threatening, cursing, or yelling. They also reported on the frequency of such events and the perpetrators.  82% of participants reported at least 1 type of verbal violence in their lifetime and 66% reported an incident in the past year. The most common experiences were being called names, belittled, and insulted, teased, or embarrassed in front of others. Top perpetrators were friends and parents.  PRACTICE Verbal violence is a common experience with potentially devastating effects on mental health and well being, sense of safety, and recovery and community participation among adults with serious mental illnesses. It is plausible that such comments deserve being recognized as "violence" on par with physical and sexual assaults, although further research would be useful to expand our knowledge about their effects on health, wellness, and community inclusion. New interventions that prevent, lessen, and eliminate such violence, may also be advisable.
Causal Loop Analysis and Improvement Areas of AS 9100 Aerospace Quality Management System Implementation in Turkish Aerospace and Defence Industry Supply Chain
Year: 2019

Aerospace Quality Management system in an organization in theory will achieve on time delivery, product conformity and acceptable price, which will result in Customer Satisfaction. However, system dynamics has to be considered for all systems, which determines and analyses feedback effects of components in the system. This study investigates these dynamic effects arising from various aspects that organizations are facing during implementation of the aerospace quality management system in Turkish defence and aerospace industry. Results achieved, and information collected through site activity is used to develop causal loop diagram. Requirements of the AS 9100 standard are interpreted to propose improvement opportunities.  Loop diagram is validated by using a scientific method.
EXTENSIVE FIELD SURVEY FOR LANDSLIDE INVENTORY IN A PART OF CAMERON HIGHLANDS PAHANG MALAYSIA
Year: 2018

Landslide is among hazardous kind of disasters, which claiming many of lives and billions of dollars of damages in property every year. Detecting the spatial distribution of landslides is highly important in decision making. Interferometry synthetic aperture RADAR (InSAR) is a technique have been employed in many studies, including land surface deformation. The Google Earth (GE) with images in high spatial resolution provide a potential for regional landslide mapping, especially in vegetated areas, where landslides creates bare lands. This study aims to detect landslide locations using integration of InSAR technique, Google Earth images and extensive field survey in a part of Cameron Highlands, Pahang, Malaysia. A pair of synthetic aperture RADAR (SAR) images were acquired from scihub.copernicus.eu website. In order to extract surface deformation, either imageries were preprocessed and processed through sentinel application platform (SNAP) software. A total number of 152 landslide locations were extracted from phase, coherence and unwrapped bands with the help of the Google Earth images, where they were overlaid on the Google Earth and by zooming in deformed surfaces the landslide locations were identified, extracted and converted into layer format using Geographical Information System (GIS) Geographical Positioning System (GPS) was utilized for validation purposes.
Residential Demand Response Scheduling With Multiclass Appliances in the Smart Grid
Venue: IEEE Transactions on Smart Grid
Year: 2016

In this paper, we study an electricity load scheduling problem in a residence. Compared with previous works in which only limited sets of appliances are considered, we classify various appliances into five sets considering their different energy consumption and operation characteristics, and provide mathematical models for them. With these appliance models, we propose an electricity load scheduling algorithm that controls the operation time and energy consumption level of each appliance adapting to time of use pricing in order to maximize the overall net utility of the residence while satisfying its budget limit. The optimization problem is formulated as a mixed integer nonlinear programming (MINLP) problem, which is in general, difficult to solve. In order to solve the problem, we use the generalized Benders decomposition approach with which we can solve the MINLP problem easily with low computational complexity. By solving the problem, we provide an algorithm to obtain the optimal electricity load scheduling of various appliances with different energy consumption and operation characteristics in a unified way.
Context Problem Network and Quantitative Method of Patent Analysis: A Case Study of Wireless Energy Transmission Technology
Venue: Sustainability
Year: 2019

Identification of prevalent problems is an important process of strategic innovation for stakeholders of trending technologies. This paper proposes a systematic and replicable method of patent analysis to identify problems to be solved requisite for sustainable technology planning and development, by implementing the concept of 'context' to facilitate problem identification. The main concept of the method entails the importance of the connections between contextual information and problems to provide more focused, relevant, and constructive insights essential for instating goals for research and development activities. These context problem entities and their entwined connections are discovered using keyword pattern matching, grammar based text mining, and co word analysis techniques. The intermediary outputs are then utilized to generate the proposed context problem network (CP net) for social network, grammar, and quantitative data analysis. For verification, our method was applied to 737 patents in the wireless energy transmission technology domain, successfully yielding CP net data. The detailed analysis of the resulting CP net data delivered meaningful information in the wireless charging technology field: The main contexts, "batteries" "power transmission coils" and "cores" are found to be most relevant to the main problems, "maximizing coupling efficiency" "minimizing DC signal components" and "charging batteries" The results provide a wide range of informative perspectives for individuals, the scientific community, corporate, and market level stakeholders. Furthermore, the method of this study can be applicable to various technologies since it is independent of specific subject domains. Future research directions aim to improve this method for better quality and modeling of contexts and problems.
Survey Paper on Intrusion Detection using Data Mining Techniques
Year: 2014

In the era of network based technology, Security is an important issue. With recent research in network based technology and increased dependability on this technology need assure reliable operation of network based systems. As there is the tremendous increase in the resource and information sharing, the need for security is also increases. Intrusion detection system is designed, which monitors the suspicious activity, misuse, unauthorized access etc. This paper presents a survey on intrusion detection system and provides data mining techniques for intrusion detection system.  Anomaly detection, Data mining Techniques, Intruders, Intrusion detection, Security.
Use of telehealth in the management of non critical emergencies in rural or remote emergency departments: A systematic review
Venue: Journal of telemedicine and telecare
Year: 2019

Telehealth has been used extensively in emergency departments to improve healthcare provision. However, its impact on the management of non critical emergency presentations within rural and remote emergency department settings has not been adequately explored. The objective of this systematic review is to identify how telehealth has been used to assist in the management of non critical presentations in rural and remote emergency departments and the outcomes.  Articles were identified through database searches of CINAHL, Cochrane, MEDLINE (OVID) Informit and SCOPUS, as well as the screening of relevant article reference and citation lists. To determine how telehealth can assist in the management of non critical emergencies, information was extracted relating to telehealth programme model, the scope of service and participating health professionals. The outcomes of telehealth programmes were determined by analysing the uptake and usage of telehealth, the impact on altering a diagnosis or management plan as well as patient disposition including patient transfer, discharge, local hospital admission and rates of discharge against medical advice.  Of the 2532 identified records, 15 were found to match the eligibility criteria and were included in the review. Uptake and usage increased for telehealth programmes predominantly utilised by nursing staff with limited local medical support. Teleconsultation conservatively altered patient diagnosis or management in 18 66% of consultations. Although teleconsultation was associated with increased patient transfer rates, unnecessary transfers were reduced. Simultaneously, an increase in local hospital admission was noted and fewer patients were discharged home. Discharge against medical advice rates were low at 0.9 1.1%  The most widely implemented hub and spoke telehealth model could be incorporated into existing referral frameworks. Telehealth programmes may assist in reducing unnecessary patient transfer and secondary overtriage, while increasing the capacity of emergency department staff to diagnose and manage patients locally, which may translate into increased local hospital admission and reduced discharge rates following teleconsultation.
Automated detection of small scale magnetic flux ropes in the solar wind: First results from the Wind spacecraft measurements
Year: 2018

We have developed a new automated small scale magnetic flux rope (SSMFR) detection algorithm based on the Grad Shafranov (GS) reconstruction technique. We have applied this detection algorithm to the Wind spacecraft in situ measurements during 1996 2016, covering two solar cycles, and successfully detected a total number of 74,241 small scale magnetic flux rope events with duration from 9 to 361 minutes. This large number of small scale magnetic flux ropes has not been discovered by any other previous studies through this unique approach. We perform statistical analysis of the small scale magnetic flux rope events based on our newly developed database, and summarize the main findings as follows. (1) The occurrence of small scale flux ropes has strong solar cycle dependency with a rate of a few hundreds per month on average. (2) The small scale magnetic flux ropes in the ecliptic plane tend to align along the Parker spiral. (3) In low speed 400 km/s) solar wind, the flux ropes tend to have lower proton temperature and higher proton number density, while in high speed \ge$ 400 km/s) solar wind, they tend to have higher proton temperature and lower proton number density. (4) Both the duration and scale size distributions of the small scale magnetic flux ropes obey a power law. (5) The waiting time distribution of small scale magnetic flux ropes can be fitted by an exponential function (for shorter waiting times) and a power law function (for longer waiting times) (6) The wall to wall time distribution obeys double power laws with the break point at 60 minutes (corresponding to the correlation length) (7) The small scale magnetic flux ropes tend to accumulate near the heliospheric current sheet (HCS) The entire database is available at \url{this http URL} and in machine readable format in this article.
Secure Online Voting System Using Blockchain
Venue: International Journal of Scientific Research in Computer Science, Engineering and Information Technology
Year: 2019

ONLINE VOTING SYSTEM is an online voting technique. In this system people who has right to vote in any place and whose age is above 18 years of any gender can cast his her vote online without going to any physical polling station. The main goal of voting is to come up with leaders of the people's choice. Elections in democratic countries have many issues affecting the fairness of election results. Firstly, some people do not care to vote for a variety of reasons, including lack of faith in the system and believing that the effort is not worth it. Secondly, troublesome voter ID laws prevent citizens from voting if their ID fails to meet the requirements at the polling booth. Thirdly, voter fraud exists, where dishonest voters manage to vote multiple times for the same candidate, skewing the results. Fourthly, voting machines could be outdated and its accuracy cannot be guaranteed. Lastly, long voting lines at polling booths can discourage people from voting. Recently, much discussion and controversy arose on the missing votes of citizens in elections. Conducting elections through a DApp on the Ethereum platform can provide transparency, security and credibility to the process. This would prevent voter fraud as one voter can only have one ID and all polling systems are on the blockchain, which can identify duplicate attempts to vote Governments can also save the logistics costs of holding physical polling booths and counting votes.
Emergent Complexity via Multi Agent Competition
Venue: ICLR
Year: 2018

Reinforcement learning algorithms can train agents that solve problems in complex, interesting environments. Normally, the complexity of the trained agent is closely related to the complexity of the environment. This suggests that a highly capable agent requires a complex environment for training. In this paper, we point out that a competitive multi agent environment trained with self play can produce behaviors that are far more complex than the environment itself. We also point out that such environments come with a natural curriculum, because for any skill level, an environment full of agents of this level will have the right level of difficulty. This work introduces several competitive multi agent environments where agents compete in a 3D world with simulated physics. The trained agents learn a wide variety of complex and interesting skills, even though the environment themselves are relatively simple. The skills include behaviors such as running, blocking, ducking, tackling, fooling opponents, kicking, and defending using both arms and legs. A highlight of the learned behaviors can be found here: this https URL
Minimal adverse impact of discharging polluted effluents to rivers with selective locations
Venue: Sustainable Cities and Society
Year: 2019

The disposal of sewage from human activities remains a challenge in developing countries due to relatively high treatment costs. Untreated or poorly treated sewage is therefore commonly discharged to streams, lakes, and coastal oceanic waters. The location of discharges of polluted effluents to rivers can be managed to reduce adverse environmental impacts. This study presents a relative preference method for siting sewage discharge locations on a river considering biochemical oxygen demand (BOD) impacts. River water quality is simulated for different levels of BOD concentration using the QUAL 2 K water quality model. Results of these simulations are compared to each other with a relative preference function that selects polluted effluent discharge locations to lessen the degradation of riverine water quality. The selection of the discharge locations takes into account input from regulatory agencies and other pertinent environmental organizations to achieve the least damage to receiving waters. The relative preference method is applied to the Karoon river between Gotvand dam and Shooshtar city, Iran. The results show the best locations for discharging the new polluted effluent are at the upstream and downstream portions of the considered river reach. Locations at kilometer 35 and its vicinity had the lowest values of the relative preference function making them the most unsuitable points for discharging the sewage effluent.
Konkani Text Summarization By Sentence Extraction
Venue: 2019 10th International Conference on Computing, Communication and Networking Technologies (ICCCNT)
Year: 2019

The amount of information over the world wide web is increasing at an alarming pace. This has caused a difficulty in finding important and useful information. Text summarization solves this problem by providing a condensed form of a textual document that contains the most relevant information. Summaries can be of two types: Extractive and Abstractive. Various text summarization techniques have been proposed for foreign languages but few techniques have been found for Indian languages. This paper presents a novel approach to summarize Konkani documents. The proposed idea involves taking a single document as input and generating a summary by using sentence extraction method.
Performance enhancements of DFIG wind turbine using fuzzy feedback linearization controller augmented by high gain observer
Year: 2020

This paper proposes a feedback linearization control of doubly fed induction generator based wind energy systems for improving decoupled control of the active and reactive powers stator. In order to enhance dynamic performance of the controller studied, the adopted control is reinforced by a fuzzy logic controller. This approach is designed without any model of rotor flux estimation. The difficulty of measuring of rotor flux is overcome by using high gain observer. The stability of the nonlinear observer is proved by the Lyapunov theory. Numerical simulations using MATLAB SIMULINK shown clearly the robustness of the proposed control, particularly to the disturbance rejection and parametric variations compared with the conventional method.
Interaksi Asam Humat Dengan Larutan Urea, SP36 dan KCl dan Pengaruhnya Terhadap Efisiensi Pemupukan
Venue: Jurnal Pijar Mipa
Year: 2019

Telah dilakukan studi interaksi asam humat dengan larutan urea, super fosfat 36 (sp36) dan kalium klorida (KCl) dengan menggunakan metode spektrofotometri Infra Red (IR) Penggunaan asam humat diketahui dapat meningkatkan ketersediaan, pengambilan nutrien pada tanaman dan efisiensi pemupukan urea, SP36 dan KCl. Akan tetapi, gugus fungsi asam humat yang berperan pada interaksi dengan pupuk belum dikaji. Penelitian dilakukan dengan menginteraksikan asam humat dan larutan pupuk urea, SP36 dan KCl dengan perbandingan massa 1:5. Interaksi asam humat dengan ketiga pupuk diketahui dengan membandingkan spektra IR asam humat murni dengan asam humat setelah bereaksi dengan ketiga pupuk. Adanya pergeseran serapan bilangan gelombang mengindikasikan terjadi interaksi. Pengaruh penambahan asam humat pada efisiensi pemupukan dilakukan dengan menghitung kadar nitrogen, fosfor dan kalium pada sampel tanaman jagung menggunakan metode Kjehdahl dan spektrofotometri UV Vis. Hasil karakterisasi dengan spektrofotometer Fourier Transform Infra Red (FTIR) menunjukkan bahwa struktur hipotetik asam humat memiliki gugus fungsional OH, alifatis, eter, aromatis dan karboksilat. Interaksi asam humat dengan ketiga pupuk terjadi pada gugus fenol, aromatis dan karboksilat yang ditunjukkan dengan adanya pergeseran serapan pada daerah 3421 cm 1, 1611 cm 1dan 1375 cm 1. Penambahan asam humat pada pemupukan dasar dapat meningkatkan efisiensi pemupukan.