nils-herrmann/clean_scirepeval huggingface dataset:
Boiler coal combustion improving desulfurizing agent composition and preparation method thereof
Year: 2013

Coal fired boiler combustion desulfurization agent composition from the following components in weight parts Composition: 3~9 parts of sodium carbonate, 1 to 2 parts of sodium acetate, calcium carbonate 3~9 parts, 4~9 parts of aluminum hydroxide, tris 2 5 parts of ferric chloride, ferric oxide 3~10 parts, 8~22 parts of potassium permanganate, potassium chlorate 8~22 parts of 15~40 parts of active clay attapulgite, 7~13 parts of manganese oxide, copper oxide 4 to 8 parts of 4 to 8 parts of alumina, copper carbonate 3~8 parts, parts of zinc oxide 3~10, 3~10 parts of zinc nitrate, 4~11 parts sodium dichromate, barium molybdate 0.5~1.5 parts, 0.5~1.5 parts of vanadium pentoxide, cerium oxide and 0.2~0.5 parts dispersant JFCl~3 parts. It is suitable for petroleum, chemical additives, power, thermal and metallurgical industries use coal fired boilers, and capable of absorbing sulfur dioxide generated during combustion curing and a large number of adsorption of dust and other harmful substances, and also clears the inner wall of the combustor attached gum and soot fouling, thereby suppressing emission of smoke concentration.
Extended HowNet 2.0 An Entity Relation Common Sense Representation Model
Venue: LREC
Year: 2018

In this paper, we propose Extended HowNet 2.0 an entity relation common sense representation model. Comparing to HowNet and Extended HowNet, E HowNet 2.0 has the following improvements: (a) Reorganizing the hierarchical structure of primitives and basic concepts; (b) Rich lexical information: In addition to sense definition, each entry of lexical sense may also include operational expressions as well as semantic functions which facilitate future semantic composition processes.  Developing a query system called E HowNet Relation Database for flexibly clustering concepts.We hope Extended HowNet 2.0 can bring significant benefits to the community of lexical semantics and natural language understanding.
Effective and selective separation of perrhenate from acidic wastewater by super stable, superhydrophobic, and recyclable biosorbent
Venue: Frontiers of Environmental Science Engineering
Year: 2021

The recovery of scattered metal ions such as perrhenate (Re(VII) from industrial effluents has enormous economic benefits and promotes resource reuse. Nanoscale metal/biochar hybrid biosorbents are attractive for recovery but are limited by their insufficient stability and low selectivity in harsh environments. Herein, a superstable biochar based biosorbent composed of ZnO nanoparticles with remarkable superhydrophobic features is fabricated, and its adsorption/desorption capabilities toward Re(VII) in strongly acidic aqueous solutions are investigated. The ZnO nanoparticle/biochar hybrid composite (ZBC) exhibits strong acid resistance and high chemical stability, which are attributable to strong C O Zn interactions between the biochar and ZnO nanoparticles. Due to the advantages of its hydrolytic stability, superhydrophobicity, and abundance of Zn O sites, the ZBC proves suitable for the effective and selective separation of Re(VII) from single, binary and multiple ion systems (pH 1) with a maximum sorption capacity of 29.41 mg/g. More importantly, this material also shows good recyclability and reusability, with high adsorption efficiency after six adsorption desorption cycles. The findings in this work demonstrate that a metal/biochar hybrid composite is a promising sorbent for Re(VII) separation.
Modelisation de la Relation Pluie Debit dans un Contexte de Gestion en Eau Cas du Sous Bassin Versant du N'zi en Cote d'Ivoire
Year: 2020

Cette etude s'inscrit dans un contexte de modelisation pluie debit pourune optimisation des ressources en eau de surface. L'objectif principal estd'appliquer le modele du Genie Rural (GR) sur le bassin versant de la regiondu N'zi afin de comprendre la relation pluie debit dans ce bassin versant.L'utilisation des differents pas de temps mensuel(GR2M) et journalier (GR4J)ont permis de determiner d'une part le meilleur modele GR et d'autre part, lesparametres optimaux des stations de la zone d'etude. Une periode de 18 ans apermis de determiner les parametres optimaux du bassin. Les criteres de Nashobtenus pour le modele GR4J varient de 40,80 a 67,40 pour les debitseleves, de 34,10 a 61% pour les debits moyens et de 8,80 a 30,90 pour lesdebits faibles. Cependant, les criteres de Nash du modele GR2M sont tresfaibles. Ils evoluent de 25,20 a 36,30 pour les debits eleves, de 08,20 a 14,60% pour les debits moyens et de 41 a 31,40% pour les debits faibles. Le modele GR4J simule mieux les ecoulements du bassin que le modele GR2M.En fait, les deux modeles simulent de facon acceptable la variation des debitsobserves en termes d'allure, mais ce sont les ecarts qui existent entre les debitsobserves et simules qui les distinguent. Le modele GR4J serait mieux indiquerpour faire des previsions sur les periodes d'inondation. Le coefficientd'echange X2 negatif, explique la raison pour laquelle le N'zi se vide dans lebassin de Bocanda, alors que la baisse de la pluviometrie est negligeable. This study is part of a rain flow modeling context for optimizingsurface water resources. The main objective is to apply the flow simulationmodel, that of Rural Engineering (GR) on the watershed of the N'zi region inorder to understand the rain flow relationship in this watershed. The use ofdifferent monthly (GR2M) and daily (GR4J) time steps made it possible toidentify, firstly the best GR model and scondly, the optimal parameters of thewatershed. An 18 year period has therefore permitted to determine the optimalparameters of the watershed. The Nash criteria obtained for the GR4J modelvary from 40.80 to 67.40% for high flow rates, from 34.10 to 61% for mediumflow rates and from 8.80 to 30.90% for low flow rates. On the other hand, theNash criteria of the GR2M model are very weak. They range from 25.20 to36.30% for high bit rates, from 08.20 to 14.60% for medium bit rates and from 41 to 31.40% for low bit rates. The GR4J model better simulates the flowsof the watershed than the GR2M model. In fact, both models simulate in an acceptable manner the variation of the observed flows in terms of pace, but itisthe differences which exist between the observed and simulated flows whichdistinguish them. The GR4J model would be bettersuited for forecasting floodperiods. The stall period should be relatively short for best results. Theexchange coefficient X2 negative, explains why the N'zi empties into theBocanda Basin, while the decrease in rainfall is negligible.
How can polygenic inheritance be used in population screening for common diseases?
Venue: Genetics in Medicine
Year: 2013

Advances in genomics have near term impact on diagnosis and management of monogenic disorders. For common complex diseases, the use of genomic information from multiple loci (polygenic model) is generally not useful for diagnosis and individual prediction. In principle, the polygenic model could be used along with other risk factors in stratified population screening to target interventions. For example, compared to age based criterion for breast, colorectal, and prostate cancer screening, adding polygenic risk and family history holds promise for more efficient screening with earlier start and/or increased frequency of screening for segments of the population at higher absolute risk than an established screening threshold; and later start and/or decreased frequency of screening for segments of the population at lower risks. This approach, while promising, faces formidable challenges for building its evidence base and for its implementation in practice. Currently, it is unclear whether or not polygenic risk can contribute enough discrimination to make stratified screening worthwhile. Empirical data are lacking on population based age specific absolute risks combining genetic and non genetic factors, on impact of polygenic risk genes on disease natural history, as well as information on comparative balance of benefits and harms of stratified interventions. Implementation challenges include difficulties in integration of this information in the current health care system in the United States, the setting of appropriate risk thresholds, and ethical, legal, and social issues. In an era of direct to consumer availability of personal genomic information, the public health and health care systems need to prepare for an evidence based integration of this information into population screening.Genet Med 2013:15(6):437 443
Classifying variety of customer's online engagement for churn prediction with mixed penalty logistic regression
Venue: ArXiv
Year: 2021

Using big data to analyze consumer behavior can provide effective decision making tools for preventing customer attrition (churn) in customer relationship management (CRM) Focusing on a CRM dataset with several different categories of factors that impact customer heterogeneity (i.e. usage of self care service channels, duration of service, and responsiveness to marketing actions) we provide new predictive analytics of customer churn rate based on a machine learning method that enhances the classification of logistic regression by adding a mixed penalty term. The proposed penalized logistic regression can prevent overfitting when dealing with big data and minimize the loss function when balancing the cost from the median (absolute value) and mean (squared value) regularization. We show the analytical properties of the proposed method and its computational advantage in this research. In addition, we investigate the performance of the proposed method with a CRM data set (that has a large number of features) under different settings by efficiently eliminating the disturbance of (1) least important features and (2) sensitivity from the minority (churn) class. Our empirical results confirm the expected performance of the proposed method in full compliance with the common classification criteria (i.e. accuracy, precision, and recall) for evaluating machine learning methods.
Enabling Free Viewpoint Television with P2P Networks
Venue: 2018 IEEE Global Communications Conference (GLOBECOM)
Year: 2018

Free viewpoint television enables users to view a scenario from arbitrary viewpoint as if they are physically in the scenario and can watch the scene freely. Thus, Free viewpoint television can provide immersive experience of physical event broadcast, especially for large scale live vocal concert broadcasts. However, huge bandwidth demand is a major challenge faced by free viewpoint television broadcast since many streaming with different view angles are needed for users' selection. In this paper, we propose a scheme named P2P transcoder to realize free viewpoint video streaming transmissions. It selects a subset of users to work as transcoders and these transcoders will produce video rates/angles that other remaining users request. Thus the total amount of traffic to deliver is greatly reduced and more saved bandwidth can be used to improve the video quality. We further build a model for achieving optimal bandwidth allocation using this scheme. Numerical results show that the proposed scheme can significantly improve the video quality as compared with existing work.
Genetic diversity and spatial genetic structure of African wild dogs (Lycaon pictus) in the Greater Limpopo transfrontier conservation area
Venue: Conservation Genetics
Year: 2016

The Greater Limpopo Transfrontier Conservation Area (GLTFCA) is one of the last refuges for the endangered African wild dog and hosts roughly one tenth of the global population. Wild dogs in this area are currently threatened by human encroachment, habitat fragmentation and scarcity of suitable connecting habitat between protected areas. We derived genetic data from mitochondrial and nuclear markers to test the following hypotheses: (i) demographic declines in wild dogs have caused a loss of genetic variation, and (ii) Zimbabwean and South African populations in the GLTFCA have diverged due to the effects of isolation and genetic drift. Genetic patterns among five populations, taken with comparisons to known information, illustrate that allelic richness and heterozygosity have been lost over time, presumably due to effects of inbreeding and genetic drift. Genetic structuring has occurred due to low dispersal rates, which was most apparent between Kruger National Park and the Zimbabwean Lowveld. Immediate strategies to improve gene flow should focus on increasing the quality of habitat corridors between reserves in the GLTFCA and securing higher wild dog survival rates in unprotected areas, with human mediated translocation only undertaken as a last resort.
Remplacement de materiel de systeme
Year: 2007

La presente invention concerne un procede et un appareil permettant la gestion d'unites de partitions de secours dans un dispositif informatique apte au partitionnement. Le procede comprend la detection de la necessite d'ajouter ou de remplacer ou non une unite de partition de secours dans un systeme d'exploitation local et dans le cas ou il est necessaire d'ajouter une unite de partition de secours, l'initiation d'une addition d'une unite de partition de secours. Si une unite de partition de secours est requise pour une substitution, on initie une substitution d'une unite de partition defaillante avec une unite de partition de secours; une partie de la memoire de l'unite de partition defaillante est soumise a une migration passive dans la memoire de la partition de l'unite de partition de secours; une partie de la memoire de l'unite de partition defaillante est soumise a une migration active dans la memoire de la partition de l'unite de partition de secours; et le dispositif informatique apte au partitionnement est entierement nettoye. Des unites de partition son remplacees sans necessiter une recompilation d'instructions executables par ordinateur.
Prophylaxis of surgical site infection in adult spine surgery: A systematic review
Venue: Journal of Clinical Neuroscience
Year: 2018

Surgical site infection (SSI) remains a significant source of morbidity in spine surgery, with reported rates varying from 0.7 to 16%  To systematically review and evaluate the evidence for strategies for prophylaxis of SSI in adult spine surgery in the last twenty years.  Two independent systematic searches were conducted, at two international spine centers, encompassing PubMed, ClinicalTrials.gov, Cochrane Database, EBSCO Medline, ScienceDirect, Ovid Medline, EMBASE (Ovid) and MEDLINE. References were combined and screened, then distilled to 69 independent studies for final review.  11 randomized controlled trials (RCTs) 51 case controlled studies (CCS) and 7 case series were identified. Wide variation exists in surgical indications, approaches, procedures, and even definitions of SSI. Intra wound vancomycin powder was the most widely studied intervention (19 studies, 1 RCT) Multiple studies examined perioperative antibiotic protocols, closed suction drainage, povidone iodine solution irrigation, and 2 octyl cyanoacrylate skin closure. 18 interventions were examined by a single study only. There is limited evidence for the efficacy of intra wound vancomycin. There is strong evidence that closed suction drainage does not affect SSI rates, while there is moderate evidence for the efficacy of povidone iodine irrigation and that single dose preoperative antibiotics is as effective as multiple doses. Few conclusions can be drawn about other interventions given the paucity and poor quality of studies.  While a small body of evidence underscores a select few interventions for SSI prophylaxis in adult spine surgery, most proposed measures have not been investigated beyond a single study. Further high level evidence is required to justify SSI preventative treatments.
Comparison of Deep Reinforcement Learning Approaches for Intelligent Game Playing
Venue: 2019 IEEE 9th Annual Computing and Communication Workshop and Conference (CCWC)
Year: 2019

In Reinforcement Learning, a category of machine learning, learning is based on evaluative feedbacks without any supervised signals. The paper presents work aimed to understand the deep reinforcement learning approaches to creating such intelligent agents, by reproducing existing research and comparing their results. The project uses the Atari 2600 game called Breakout, in which the agent will learn control policies using deep reinforcement learning approaches to achieve a high score. The project explores two deep reinforcement learning approaches, Asynchronous Advantage actor critic and Deep Q Learning, both proposed by the DeepMind team, to train intelligent agents that can interact with an environment with automatic feature engineering thus requiring minimal domain knowledge.
Effects of Instructional Models and Spatial Intelligence on the Mathematics Learning Outcomes after Controlling for Students' Initial Competency
Venue: International Journal of Instruction
Year: 2019

The present study determined the effects of instructional models and spatial intelligence on students' mathematics learning outcomes after controlling for their initial competence. The study was conducted at Senior High School (SHS) 6 Kendari, Indonesia using a quasi experimental method designed by level 2x2. Samples consisted of 40 students selected randomly. The data were analyzed using either two way ANCOVA at the 0.05 significance level. The results showed that mathematics learning outcome of students who were taught by integrative instruction was higher than those taught by direct instruction after controlling the initial competency. There is an interaction effect between the instructional model and spatial intelligence on mathematics learning outcome. Learning outcome of students who have high spatial intelligence and taught by integrative instruction was higher than those taught by direct instruction, and learning outcome of students who have low spatial intelligence and taught by integrative instruction was lower than those taught by direct instruction.
Uncovering Bugs in P4 Programs with Assertion based Verification
Venue: SOSR
Year: 2018

Recent trends in software defined networking have extended network programmability to the data plane through programming languages such as P4. Unfortunately, the chance of introducing bugs in the network also increases significantly in this new context. Existing data plane verification approaches are unable to model P4 programs, or they present severe restrictions in the set of properties that can be modeled. In this paper, we introduce a data plane program verification approach based on assertion checking and symbolic execution. Network programmers annotate P4 programs with assertions expressing general security and correctness properties. Once annotated, these programs are transformed into C based models and all their possible paths are symbolically executed. Results show that the proposed approach, called ASSERT P4, can uncover a broad range of bugs and software flaws. Furthermore, experimental evaluation shows that it takes less than a minute for verifying various P4 applications proposed in the literature.
Reabilitacao de incisivo central superior, escurecido por trauma, com dois tipos de facetas ceramicas: relato de caso
Year: 2020

Dentes anteriores escurecidos comprometem a estetica do sorriso; por isso, reabilita los, estetica e funcionalmente, tornou se um dos maiores desafios clinicos para o cirurgiao dentista. O desenvolvimento da Odontologia Adesiva, associado a capacidade de condicionamento das ceramicas odontologicas, garantindo a alta qualidade na uniao desses materiais aos tecidos dentais, fez com que o tratamento com laminados ceramicos apresente altas taxas de satisfacao, nao so pela caracteristica optica natural alcancada inicialmente, mas, principalmente, por o efeito obtido manter se ao longo dos anos. O presente trabalho tem como objetivo comparar o resultado estetico de dois tipos de facetas, com ceramicas vitreas diferentes, por meio do relato de um caso clinico de reabilitacao do dente 21 escurecido por traumatismo.
Corpora for Cross Language Information Retrieval in Six Less Resourced Languages
Venue: CLSSTS
Year: 2020

The Machine Translation for English Retrieval of Information in Any Language (MATERIAL) research program, sponsored by the Intelligence Advanced Research Projects Activity (IARPA) focuses on rapid development of end to end systems capable of retrieving foreign language speech and text documents relevant to different types of English queries that may be further restricted by domain. Those systems also provide evidence of relevance of the retrieved content in the form of English summaries. The program focuses on Less Resourced Languages and provides its performer teams very limited amounts of annotated training data. This paper describes the corpora that were created for system development and evaluation for the six languages released by the program to date: Tagalog, Swahili, Somali, Lithuanian, Bulgarian and Pashto. The corpora include build packs to train Machine Translation and Automatic Speech Recognition systems; document sets in three text and three speech genres annotated for domain and partitioned for analysis, development and evaluation; and queries of several types together with corresponding binary relevance judgments against the entire set of documents. The paper also describes a detection metric called Actual Query Weighted Value developed by the program to evaluate end to end system performance.
Pyroptosis: Caspase 11 Unlocks the Gates of Death.
Venue: Immunity
Year: 2015

How inflammatory caspases trigger pyroptotic cell death is mostly unexplained. In this issue of Immunity, Nunez and colleagues report that caspase 11 cleaves the transmembrane channel pannexin 1, causing an efflux of cellular ATP that promotes a P2X7 receptor dependent pyroptosis.
Premium Subsidies, the Mandate, and Medicaid Expansion: Coverage Effects of the Affordable Care Act
Venue: Journal of health economics
Year: 2017

Using premium subsidies for private coverage, an individual mandate, and Medicaid expansion, the Affordable Care Act (ACA) has increased insurance coverage. We provide the first comprehensive assessment of these provisions' effects, using the 2012 2015 American Community Survey and a triple difference estimation strategy that exploits variation by income, geography, and time. Overall, our model explains 60% of the coverage gains in 2014 2015. We find that coverage was moderately responsive to price subsidies, with larger gains in state based insurance exchanges than the federal exchange. The individual mandate's exemptions and penalties had little impact on coverage rates. The law increased Medicaid among individuals gaining eligibility under the ACA and among previously eligible populations "woodwork effect" even in non expansion states, with no resulting reductions in private insurance. Overall, exchange premium subsidies produced 40% of the coverage gains explained by our ACA policy measures, and Medicaid the other 60% of which 1/2 occurred among previously eligible individuals.