nils-herrmann/clean_scirepeval huggingface dataset:
A novel control strategy based on hybrid instantaneous theory decoupled approach for PQ improvement in PV systems with energy storage devices and cascaded multi level inverter
Year: 2020

This paper suggests an innovative control architecture based on hybrid instantaneous theory (HIT) decoupled method for improved power quality (PQ) in a photovoltaic (PV) based microgrid utilizing energy storage devices (ESD) Further, to enhance the PV ESD performance, an eleven level cascaded inverter (ECI) with compact size, cost, and increase in voltage level is proposed. By considering the simplicity in design and wider application, an improved perturb and observe (IP&O) method is implemented to operate the PV ESD system at its optimum power point (OPP) In addition to that, for achieving an improved energy management, a battery based ESD is integrated into the system. Furthermore, the use of grid LCL filter in PV is investigated with the proposed control law design to reduce the harmonic content. To verify the robustness of the HIT approach based on the harmonics and nonlinearity, various test conditions have been examined under different cases ranging from varying environmental conditions, varying grid demand and ESD charging and discharging situations by using MATLAB/Simulink software.
Inferring Missing Entity Type Instances for Knowledge Base Completion: New Dataset and Methods
Venue: NAACL
Year: 2015

Most of previous work in knowledge base (KB) completion has focused on the problem of relation extraction. In this work, we focus on the task of inferring missing entity type instances in a KB, a fundamental task for KB competition yet receives little attention. Due to the novelty of this task, we construct a large scale dataset and design an automatic evaluation methodology. Our knowledge base completion method uses information within the existing KB and external information from Wikipedia. We show that individual methods trained with a global objective that considers unobserved cells from both the entity and the type side gives consistently higher quality predictions compared to baseline methods. We also perform manual evaluation on a small subset of the data to verify the effectiveness of our knowledge base completion methods and the correctness of our proposed automatic evaluation method.
Public Libraries Respond to the Opioid Crisis in Collaboration with Their Communities: An Introduction
Year: 2019

The nation is experiencing an opioid epidemic. As communities across the country feel the epidemic's impact, public health and human service organizations are implementing responses that include healthcare, education, law enforcement and the judicial system, emergency services, drug and addiction counseling, and community services. Public libraries around the country are choosing to be part of this response. With funding from a grant from the Institute of Museum and Library Services, OCLC and the Public Library Association will identify, synthesize, and share knowledge and resources that will help public libraries and their community partners develop effective strategies and community driven coalitions that work together to address the opioid epidemic in America. This project is called, "Public Libraries Respond to the Opioid Crisis with Their Communities." This article is the first of two about the project and it focuses on the issues and preliminary themes surfacing in interviews with library staff and the partners. A second article will focus on the data analysis and overall findings.
Westmere: A family of 32nm IA processors
Venue: 2010 IEEE International Solid State Circuits Conference (ISSCC)
Year: 2010

The Westmere processor is implemented on a high k metal gate 32nm process technology [1] as a compaction of the Nehalem processor family  Figure 5.1.1 shows the 6 core dual socket server processor and the 2 core single socket processor for mainstream client. This paper focuses on innovations and circuit optimizations made to the 6 core processor. The 6 core design has 1.17B transistors including the 12MB shared L3 Cache and fits in approximately the same die area as its 45nm 4 core 8MB L3 cache Nehalem counterpart. The core supports new instructions for accelerating encryption/decryption algorithms, speeds up performance under virtualized environments, and contains a host of other targeted performance features.
SAFE DNN: A Deep Neural Network With Spike Assisted Feature Extraction For Noise Robust Inference
Venue: 2020 International Joint Conference on Neural Networks (IJCNN)
Year: 2020

We present a Deep Neural Network with Spike Assisted Feature Extraction (SAFE DNN) to improve robustness of classification under stochastic perturbation of inputs. The proposed network augments a DNN with unsupervised learning of low level features using spiking neural network (SNN) with spike timing dependent plasticity (STDP) The complete network learns to ignore local perturbation while performing global feature detection and classification. The experimental results on CIFAR 10 and ImageNet subset demonstrate improved noise robustness for multiple DNN architectures without sacrificing accuracy on clean images.
Polarization Optics In Telecommunications
Year: 2016

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Trapped air metamaterials for ultrasonic sub wavelength imaging in water
Year: 2020

1 Department of Informatics, Modeling, Electronics and Systems Engineering, University of Calabria, Via Pietro Bucci, 87036, Arcavacata di Rende (CS) Italy. {stefano.laureti, marco.ricci}@unical.it 2 School of Engineering, University of Warwick, Coventry, CV4 7AL, UK. {D.A.Hutchins, lorenzo.astolfi, r.watson.2, P.J.Thomas}@warwick.ac.uk 3 Department of Engineering, University of Perugia, Polo Scientifico Didattico di Terni, Via di Pentima 4, 05100, Terni, Italy. pietro.burrascano@unipg.it 4 School of Electronic and Electrical Engineering, University of Leeds, Leeds, LS2 9JT, UK.  University of St Andrews, St Andrews, KY16 9SS, UK. Ma297@st andrews.ac.uk. 6 Department of Mechanical, Material and Manufacturing Engineering, University of Nottingham, University Park, Nottingham, NG7 2RD, UK. Adam.Clare@nottingham.ac.uk *Correspondence to Stefano Laureti (stefano.laureti@unical.it)
Thinger.io: An Open Source Platform for Deploying Data Fusion Applications in IoT Environments
Venue: Sensors
Year: 2019

In the last two decades, data and information fusion has experienced significant development due mainly to advances in sensor technology. The sensors provide a continuous flow of data about the environment in which they are deployed, which is received and processed to build a dynamic estimation of the situation. With current technology, it is relatively simple to deploy a set of sensors in a specific geographic area, in order to have highly sensorized spaces. However, to be able to fusion and process the information coming from the data sources of a highly sensorized space, it is necessary to solve certain problems inherent to this type of technology. The challenge is analogous to what we can find in the field of the Internet of Things (IoT) IoT technology is characterized by providing the infrastructure capacity to capture, store, and process a huge amount of heterogeneous sensor data (in most cases, from different manufacturers) in the same way that it occurs in data fusion applications. This work is not simple, mainly due to the fact that there is no standardization of the technologies involved (especially within the communication protocols used by the connectable sensors) The solutions that we can find today are proprietary solutions that imply an important dependence and a high cost. The aim of this paper is to present a new open source platform with capabilities for the collection, management and analysis of a huge amount of heterogeneous sensor data. In addition, this platform allows the use of hardware agnostic in a highly scalable and cost effective manner. This platform is called Thinger.io. One of the main characteristics of Thinger.io is the ability to model sensorized environments through a high level language that allows a simple and easy implementation of data fusion applications, as we will show in this paper.
A Multibiomarker Approach to Assess the Health State of Coastal Ecosystem Receiving Desalination Plants in Agadir Bay, Morocco
Venue: TheScientificWorldJournal
Year: 2019

The present study aims to evaluate the initial health status of two stations receiving seawater desalination plants in Agadir Bay (Tifnit Douira and Cap Ghir) and to assess their potential environmental impact on the marine ecosystem health. Six pairs of mussels (Mytilus galloprovincialis) were collected at six sampling sites on a monthly basis over two years. Each pair was homogenized to obtain the postmitochondrial fractions (S9) Toxicological effects were measured using a multibiomarker approach based on either acetylcholinesterase (AChE) glutathione S transferase (GST) catalase (CAT) and malondialdehyde (MDA) rate. The results show a seasonal variation of the biomarkers: their activities increase in summer and decrease in spring and winter. High activities were recorded during summer in Cap Ghir (17.94 0.88; 5.91 052 nmol/min/mg of protein) for CAT and MDA, respectively. In Tifnit Douira, low activities were recorded during winter for GST (3.74 0.52 nmol/min/mg of protein) and during spring for the CAT (3.52 0.45 nmol/min/mg of protein) The fluctuations in the activities of measured biomarkers could be attributed to different factors including the changes in environmental parameters, the influence of seasonal variation, and the contamination of the aquatic ecosystem. The data obtained in this study should be taken into account in the monitoring and management of the health of the ecosystems when the desalination plants are established.
Cisplatin, fluorouracil, and docetaxel in unresectable head and neck cancer.
Venue: The New England journal of medicine
Year: 2007

Phase 2 studies suggest that the standard regimen of cisplatin and fluorouracil (PF) plus docetaxel (TPF) improves outcomes in squamous cell carcinoma of the head and neck. We compared TPF with PF as induction chemotherapy in patients with locoregionally advanced, unresectable disease.  We randomly assigned eligible patients between the ages of 18 and 70 years who had stage III or stage IV disease and no distant metastases to receive either TPF (docetaxel and cisplatin, day 1; fluorouracil by continuous infusion, days 1 to 5) or PF every 3 weeks for four cycles. Patients without progression of disease received radiotherapy within 4 to 7 weeks after completing chemotherapy. The primary end point was progression free survival.  A total of 358 patients underwent randomization, with 177 assigned to the TPF group and 181 to the PF group. At a median follow up of 32.5 months, the median progression free survival was 11.0 months in the TPF group and 8.2 months in the PF group (hazard ratio for disease progression or death in the TPF group, 0.72; P=0.007) Treatment with TPF resulted in a reduction in the risk of death of 27% (P=0.02) with a median overall survival of 18.8 months, as compared with 14.5 months in the PF group. There were more grade 3 or 4 events of leukopenia and neutropenia in the TPF group and more grade 3 or 4 events of thrombocytopenia, nausea, vomiting, stomatitis, and hearing loss in the PF group. The rates of death from toxic effects were 2.3% in the TPF group and 5.5% in the PF group.  As compared with the standard regimen of cisplatin and fluorouracil, induction chemotherapy with the addition of docetaxel significantly improved progression free and overall survival in patients with unresectable squamous cell carcinoma of the head and neck.
Legal Issues Related to Combating Cybercrime Experience of the Republic of Kazakhstan
Year: 2018

This paper deals with the legal issues related to combating cybercrime in the global information and communication networks through comparative analysis of relevant legislation of the Republic of Kazakhstan and Western European countries The purpose of this research is to identify the specific features of present cybercrime to develop a conceptual framework to specify new forms of cybercrime and to find the main directions in combating cybercrime The research methodology was based on dialectical comparative legal sociological system structural and statistical methods as well as on social experiment The study gave the possibility to disclose specific features of cybercrime provided a universal definition of cybercrime which can be used in international conventions as well as in international criminal investigation The study highlighted two new types of cybercrime cyber terrorism and identity theft with the view of committing crimes which could be included in the Convention on Cybercrime The authors of this study developed a universal conceptual framework that can be used in international legal instruments and international cooperation in combating cybercrime and formed a unified approach to address some legal issues related to cybercrime in the global information and communication networks
Boredom proneness and its correlation with Internet addiction and Internet activities in adolescents with attention deficit/hyperactivity disorder
Venue: The Kaohsiung journal of medical sciences
Year: 2018

This study examined the associations of boredom proneness with Internet addiction and activities as well as the moderators for such associations in adolescents with attention deficit/hyperactivity disorder (ADHD) In total, 300 adolescents with ADHD participated in this study. Their Internet addiction, the scores for lack of external and internal stimulation on the Boredom Proneness Scale short form (BPS SF) ADHD, parental characteristics, and the types of Internet activities were examined. The associations of boredom proneness with Internet addiction and Internet activities and the moderators of the associations were examined using logistic regression analyses. Higher scores for lack of external stimulation on the BPS SF were significantly associated with a higher risk of Internet addiction. Maternal occupational socioeconomic status moderated the association of lack of external stimulation with Internet addiction. Higher scores for lack of external stimulation were significantly associated with a high tendency to engage in online gaming, whereas higher scores for lack of internal stimulation were significantly associated with a low tendency to engage in online studies. Lack of external stimulation on the BPS SF should be considered a target in prevention and intervention programs for Internet addiction among adolescents with ADHD.
Potato purple top, Lethal wilt of oil palm, and Papaya twisted neck syndrome: Phytoplasma associated diseases in Ecuador
Year: 2019

Phytoplasma are wall less bacteria limited to the phloem vessels in higher plants. Diseases associated with phytoplasma, in the past, have not been a serious problem in Ecuador. Nevertheless, and for climate change effects, their importance has been increasing suddenly. This research was focused on the detection of phytoplasma using nested Polymerase Chain Reaction (PCR) in potato (Solanum tuberosum L. oil palm (Elaeis guineensis Jacq. and papaya (Carica papaya L. plants. Phytoplasma specific PCR amplifications were generated by nested PCR in 50% samples of twisted neck syndrome in papaya, 38% potato samples showing purple top symptoms, and in all the samples showing symptoms of lethal wilt of oil palm. A continual increase in the incidence of potato purple top was observed, and there is a high risk of contamination in the southern production zones of the country. In potato, results of this study are more closely related to Candidatus Phytoplasma subgroup 16SrI.Lethal wilt continues to be a major threat to oil palm production. In papaya, members of the group 16SrXIII E produce a disease similar as reported in this study.
Prevalence of stress, anxiety, depression among the general population during the COVID 19 pandemic: a systematic review and meta analysis
Venue: Globalization and Health
Year: 2020

The COVID 19 pandemic has had a significant impact on public mental health. Therefore, monitoring and oversight of the population mental health during crises such as a panedmic is an immediate priority. The aim of this study is to analyze the existing research works and findings in relation to the prevalence of stress, anxiety and depression in the general population during the COVID 19 pandemic.  In this systematic review and meta analysis, articles that have focused on stress and anxiety prevalence among the general population during the COVID 19 pandemic were searched in the Science Direct, Embase, Scopus, PubMed, Web of Science (ISI) and Google Scholar databases, without a lower time limit and until May 2020. In order to perform a meta analysis of the collected studies, the random effects model was used, and the heterogeneity of studies was investigated using the I 2 index. Moreover. data analysis was conducted using the Comprehensive Meta Analysis (CMA) software.  The prevalence of stress in 5 studies with a total sample size of 9074 is obtained as 29.6% (95% confidence limit: 24.3 35.4) the prevalence of anxiety in 17 studies with a sample size of 63,439 as 31.9% (95% confidence interval: 27.5 36.7) and the prevalence of depression in 14 studies with a sample size of 44,531 people as 33.7% (95% confidence interval: 27.5 40.6) Conclusion COVID 19 not only causes physical health concerns but also results in a number of psychological disorders. The spread of the new coronavirus can impact the mental health of people in different communities. Thus, it is essential to preserve the mental health of individuals and to develop psychological interventions that can improve the mental health of vulnerable groups during the COVID 19 pandemic.
Prevalence of Attention Deficit/Hyperactivity Disorder: A Systematic Review and Meta analysis
Venue: Pediatrics
Year: 2015

Overdiagnosis and underdiagnosis of attention deficit/hyperactivity disorder (ADHD) are widely debated, fueled by variations in prevalence estimates across countries, time, and broadening diagnostic criteria. We conducted a meta analysis to: establish a benchmark pooled prevalence for ADHD; examine whether estimates have increased with publication of different editions of the Diagnostic and Statistical Manual of Mental Disorders (DSM) and explore the effect of study features on prevalence.  Medline, PsycINFO, CINAHL, Embase, and Web of Science were searched for studies with point prevalence estimates of ADHD. We included studies of children that used the diagnostic criteria from DSM III, DSM III R and DSM IV in any language. Data were extracted on sampling procedure, sample characteristics, assessors, measures, and whether full or partial criteria were met.  The 175 eligible studies included 179 ADHD prevalence estimates with an overall pooled estimate of 7.2% (95% confidence interval: 6.7 to 7.8) and no statistically significant difference between DSM editions. In multivariable analyses, prevalence estimates for ADHD were lower when using the revised third edition of the DSM compared with the fourth edition (P .03) and when studies were conducted in Europe compared with North America (P .04) Few studies used population sampling with random selection. Most were from single towns or regions, thus limiting generalizability.  Our review provides a benchmark prevalence estimate for ADHD. If population estimates of ADHD diagnoses exceed our estimate, then overdiagnosis may have occurred for some children. If fewer, then underdiagnosis may have occurred.
Floor cleaning robot with reconfigurable mechanism
Year: 2018

Although several precedents have demonstrated the benefits of using floor cleaning robots for the maintenance of constructed buildings, traditional platforms suffer from a series of performance issues. One major factor that contributes to their performance deficit is their fixed morphology design, which highly constrains their navigation and access. To this end, a novel Tetris inspired reconfigurable floor cleaning robot called hTetro is presented in this paper. The developed robot is capable of reconfiguring its morphology to any of seven one sided tetrominoes in response to its perceived environment to maximize its coverage area. This paper presents the coverage area performance of the hTetro robot and systematically benchmarks its performance with two commercially available fixed morphology robot platforms. Our experiments indicate that hTetro achieves significantly higher coverage performance than the other platforms due to its shape shifting ability in response to navigating its environment.
How Do We Know What Works? A Review and Critique of Current Practices in Ethics Training Evaluation
Venue: Accountability in research
Year: 2016

Training is a costly investment. As such, it is of great interest to know the extent to which that investment is yielding a positive return. Recent meta analytic efforts have observed that ethics training programs are, indeed, having a positive effect, leading to the conclusion that the programs are working. However, they have also uncovered considerable variability in the effectiveness of ethics training programs, which leads to the purpose of the present study to review current practices in ethics training evaluation. Through this review of 243 studies, consisting of 380 ethics trainings, we identified major themes in evaluation practices and training design. The tradeoffs associated with these evaluation procedures and designs are discussed, along with directions for future research.