nils-herrmann/clean_scirepeval huggingface dataset:
Modulacion de la expresion transcripcional de citoquinas de respuesta inmune innata y adaptativa en celulas mononucleares de sangre periferica humana tratadas con fucoidan de Lessonia trabeculata Villouta Santelices 1986
Year: 2019

Evalua la expresion transcripcional de citoquinas moduladoras de la respuesta inmune innata y adaptativa en celulas mononucleares humanas (PBMC) tratadas con fucoidan del alga parda Lessonia trabeculata. El fucoidan de Lessonia trabeculata fue proporcionado por la empresa PSW S.A y caracterizado fitoquimicamente por el Laboratorio de Bioquimica y Biologia Molecular de la Universidad Nacional Agraria La Molina. Las PBMC se trataron con diferentes concentraciones de fucoidan de Lessonia trabeculata (FLt, 80.84% pureza) y como controles se emplearon fucoidan de Fucus vesiculosus (FFv, 95% pureza) y lipopolisacarido de E. coli. La citotoxicidad se evaluo mediante el ensayo de reduccion metabolica del bromuro de 3 (4,5 dimetiltiazol 2 ilo) 2,5 difeniltetrazol (MTT) Para evaluar la expresion transcripcional de las citoquinas de la inmunidad innata: IL 8, IL 12 (p35 y p40) y TGF y las citoquinas de inmunidad adaptativa; IL 2 e IL 10 se empleo la reaccion en cadena de la polimerasa convencional (PCR convencional) El tratamiento de cultivos de PBMC a las concentraciones de 10 y 100 mg/ml de FLt y FFv no ocasiono efecto citotoxico; por el contrario, FLt a 100 mg/ml incremento significativamente el porcentaje de viabilidad celular respecto al control sin fucoidan (p<0.05) Respecto a la expresion transcripcional, el tratamiento con FLt a 10 y 100 mg/ml incremento el ARNm IL 10 (p<0.0001) y ARNm IL 12p40 (p<0.05) respectivamente en relacion al control sin fucoidan. Se concluye que el fucoidan de L. trabeculata a 10 y 100 mg/ml modula la expresion transcripcional de IL 12 de inmunidad innata e IL 10 de inmunidad adaptativa.
A perspective on phenolic compounds, their potential health benefits, and international regulations: The revised Brazilian normative on food supplements
Venue: Journal of Food Bioactives
Year: 2019

Phenolic compounds possess a myriad of health benefits, thus making them potential ingredients for the procurement of food supplements. Anvisa, Brazil's national regulatory body, has recently revised the regulation on food supplements and only a few phenolic compounds (chlorogenic acid, rutin, proanthocyanidins, and tocopherols) have been mentioned. Despite several scientific evidences on the bioactivity of phenolics, especially concerning their antioxidant activity, Anvisa does not authorize any claims for supplements containing these compounds, except for tocopherols, which was mentioned as "vitamin E" The upper limit doses allowed for the phenolics appear to be lower than what the literature suggests as necessary to achieve potential health benefits and might be prohibitive for supplements available in the international market. Moreover, Brazilian sources of phenolic compounds are not listed in the Normative Instruction (NI) as authorized ingredients for supplements. The Brazilian NI on food supplements has moved forward, but it is still limited.
A High Accuracy Fuzzy Logic Based Map Matching Algorithm for Road Transport
Venue: J. Intell. Transp. Syst.
Year: 2006

Recent research on map matching algorithms for land vehicle navigation has been based on either a conventional topological analysis or a probabilistic approach. The input to these algorithms normally comes from the global positioning system (GPS) and digital map data. Although the performance of some of these algorithms is good in relatively sparse road networks, they are not always reliable for complex roundabouts, merging or diverging sections of motorways, and complex urban road networks. In high road density areas where the average distance between roads is less than 100 m, there may be many road patterns matching the trajectory of the vehicle reported by the positioning system at any given moment. Consequently, it may be difficult to precisely identify the road on which the vehicle is travelling. Therefore, techniques for dealing with qualitative terms such as likeliness are essential for map matching algorithms to identify a correct link. Fuzzy logic is one technique that is an effective way to deal with qualitative terms, linguistic vagueness, and human intervention. This article develops a map matching algorithm based on fuzzy logic theory. The inputs to the proposed algorithm are from GPS augmented with data from deduced reckoning sensors to provide continuous navigation. The algorithm is tested on different road networks of varying complexity. The validation of this algorithm is carried out using high precision positioning data obtained from GPS carrier phase observables. The performance of the developed map matching algorithm is evaluated against the performance of several well accepted existing map matching algorithms. The results show that the fuzzy logic based map matching algorithm provides a significant improvement over existing map matching algorithms both in terms of identifying correct links and estimating the vehicle position on the links.
Anti Colonial Analysis of the Crisis in Higher Education in Zimbabwe
Year: 2012

The crisis of the post colonial condition, well documented in other African countries began to be repeated in Zimbabwe. After experimenting with Western projects of development and neoliberal globalization, Zimbabwe, and specifically higher education institutions such as the University of Zimbabwe became embroiled in a crisis of unprecedented magnitude.This book reveals that ZANU PF authoritarian nationalism is exerted through the centralized power invested in the vice chancellor's office and the subsequent random use of campus and state security forces against students and faculty. Privatization of amenities and dollarization were observed to be the two main neoliberal policy measures contributing towards the crisis at the institution. High levels of student poverty, massive faculty exodus and violence characterized the impact of ZANU PF nationalism and neoliberal globalization. The book demonstrates how ZANU PF nationalism and neoliberal globalization are contributing towards the crisis at the institution and recolonizing the people of Zimbabwe.
AHA/ACC guidelines for secondary prevention for patients with coronary and other atherosclerotic vascular disease: 2006 update endorsed by the National Heart, Lung, and Blood Institute.
Venue: Journal of the American College of Cardiology
Year: 2006

Since the 2001 update of the American Heart Association (AHA)/American College of Cardiology (ACC) consensus statement on secondary prevention,1 important evidence from clinical trials has emerged that further supports and broadens the merits of aggressive risk reduction therapies for patients with established coronary and other atherosclerotic vascular disease, including peripheral arterial disease, atherosclerotic aortic disease, and carotid artery disease. This growing body of evidence confirms that aggressive comprehensive risk factor management improves survival, reduces recurrent events and the need for interventional procedures, and improves quality of life for these patients. Compelling evidence from recent clinical trials and revised practice guidelines provided the impetus for this update of the 2001 recommendations with evidence based results (Table 1| Classification of Recommendations and Level of Evidence are expressed in ACC/AHA format, as detailed in Tables 2 and 3| Recommendations made herein are based largely on major practice guidelines from the National Institutes of Health and ACC/AHA. In many cases, these practice guidelines were supplemented by research findings published after the publication of the primary reference(s) Thus, the development of the present statement involved a process of partial adaptation of other guideline statements and reports and supplemental literature searches.2 32 (For specific search criteria, see the Appendix. The findings from additional lipid reduction trials33 37 involving more than 50 000 patients resulted in new optional therapeutic targets, which were outlined in the 2004 update of the National Heart, Lung, and Blood Institute's Adult Treatment Panel (ATP) III report.6 These changes defined optional lower target cholesterol levels for very high risk coronary heart disease (CHD) patients, especially those with acute coronary syndromes, and expanded indications for drug treatment.
Multiplexed MRM based protein quantification of putative prognostic biomarkers for chronic kidney disease progression in plasma
Venue: Scientific Reports
Year: 2020

Current diagnostic measures for Chronic Kidney Disease (CKD) include detection of reduced estimated glomerular filtration rate (eGFR) and albuminuria, which have suboptimal accuracies in predicting disease progression. The disease complexity and heterogeneity underscore the need for multiplex quantification of different markers. The goal of this study was to determine the association of six previously reported CKD associated plasma proteins [B2M (Beta 2 microglobulin) SERPINF1 (Pigment epithelium derived factor) AMBP (Protein AMBP) LYZ (Lysozyme C) HBB (Hemoglobin subunit beta) and IGHA1 (Immunoglobulin heavy constant alpha 1) as measured in a multiplex format, with kidney function, and outcome. Antibody free, multiple reaction monitoring mass spectrometry (MRM) assays were developed, characterized for their analytical performance, and used for the analysis of 72 plasma samples from a patient cohort with longitudinal follow up. The MRM significantly correlated (Rho 0.5 0.9) with results from respective ELISA. Five proteins [AMBP, B2M, LYZ, HBB and SERPINF1] were significantly associated with eGFR, with the three former also associated with unfavorable outcome. The combination of these markers provided stronger associations with outcome (p 0.0001) compared to individual markers. Collectively, our study describes a multiplex assay for absolute quantification and verification analysis of previously described putative CKD prognostic markers, laying the groundwork for further use in prospective validation studies.
An implementation of analytical power model on integrated GPU
Venue: 2016 International Symposium on Integrated Circuits (ISIC)
Year: 2016

GPU has become an important component of the high performance computing system and its principal duty is parallel computing rather than graphical display. Determining the power and energy consumption is necessary to the scaling of GPU. This paper presents a statistic model to evaluate the power and energy consumption of AMD's integrated GPU (iGPU) By collecting the data of performance counters from real hardware measurements, we apply linear regression method to estimate the energy consumed by iGPU. Our results show that the median absolute error is less than 3% Due to the limits of profiling tool CodeXL, power sampling period is much longer than the kernel execution time. We propose a kernel extension method to lengthen the kernel execution time so that we can deal with this problem. Furthermore, we conduct a study on the importance of performance counters and explore the possibility to simplify our statistic model. The results suggest that the accuracy and stability is still acceptable when there are only 12 performance counters in the simplified model.
Online reviews can predict long term returns of individual stocks
Venue: ArXiv
Year: 2019

Online reviews are feedback voluntarily posted by consumers about their consumption experiences. This feedback indicates customer attitudes such as affection, awareness and faith towards a brand or a firm and demonstrates inherent connections with a company's future sales, cash flow and stock pricing. However, the predicting power of online reviews for long term returns on stocks, especially at the individual level, has received little research attention, making a comprehensive exploration necessary to resolve existing debates. In this paper, which is based exclusively on online reviews, a methodology framework for predicting long term returns of individual stocks with competent performance is established. Specifically, 6,246 features of 13 categories inferred from more than 18 million product reviews are selected to build the prediction models. With the best classifier selected from cross validation tests, a satisfactory increase in accuracy, 13.94% was achieved compared to the cutting edge solution with 10 technical indicators being features, representing an 18.28% improvement relative to the random value. The robustness of our model is further evaluated and testified in realistic scenarios. It is thus confirmed for the first time that long term returns of individual stocks can be predicted by online reviews. This study provides new opportunities for investors with respect to long term investments in individual stocks.
Evaluasi Standar Pelayanan Publik (Studi Kasus Pada Badan Pendidikan Dan Pelatihan Daerah Istimewa Yogyakarta)
Year: 2020

Peningkatan dan penjaminan kualitas pelayanan publik sangat diperlukan, oleh sebab itu Pemerintah melalui Undang Undang No.25 Thaun 2009 tentang pelayanan publik dan Peraturan Menteri Pendayagunaan Aparatur Negara dan Reformasi Birokrasi Nomor 15 Tahun 2014 tentang Pedoman Standar Pelayanan mewajibkan setiap penyelenggara layanan publik harus menyusun, menetapkan dan melaksanakan standar pelayanan publik untuk setiap jenis pelayanan yang diselenggarakannya. Salah satunya Badan Pendidikan dan Pelatihan Daerah Istimewa Yogyakarta sebagai penyelenggara pelayanan publik berupa pendidikan, pelatihan, dan pengembangan kompetensi Aparatur Sipil Negara. Dokumen standar pelayanan yang telah disusun Badan Pendidikan dan Pelatihan DIY pada tahun 2017 perlu dievaluasi karena disinyalir tidak memenuhi kaidah dalam proses penyusunannya. Penelitian yang dilakukan merupakan kajian literatur dengan teknik penggalian data menggunakan teknik obervasi, interview, mini focus group discussions dan public hearing. Berdasarkan hasil penelitian diketahui bahwa dokumen standar pelayanan publik yang sudah dimiliki Badan Pendidikan dan Pelatihan DIY masih belum komprehensif, namun hal tersebut kemudian didapatkan solusinya setelah dilakukan analisis dan diskusi dengan pemangku kepentingan pada Badan Pendidikan dan Pelatihan DIY.
A mechanized formalization of GraphQL
Venue: CPP
Year: 2020

GraphQL is a novel language for specifying and querying web APIs, allowing clients to flexibly and efficiently retrieve data of interest. The GraphQL language specification is unfortunately only available in prose, making it hard to develop robust formal results for this language. Recently, Hartig and Perez proposed a formal semantics for GraphQL in order to study the complexity of GraphQL queries. The semantics is however not mechanized and leaves certain key aspects unverified. We present GraphCoQL, the first mechanized formalization of GraphQL, developed in the Coq proof assistant. GraphCoQL covers the schema definition DSL, query definitions, validation of both schema and queries, as well as the semantics of queries over a graph data model. We illustrate the application of GraphCoQL by formalizing the key query transformation and interpretation techniques of Hartig and Perez, and proving them correct, after addressing some imprecisions and minor issues. We hope that GraphCoQL can serve as a solid formal baseline for both language design and verification efforts for GraphQL.
Clinical Significance of a High SARS CoV 2 Viral Load in the Saliva
Venue: Journal of Korean medical science
Year: 2020

Patients with coronavirus disease 2019 (COVID 19) can unknowingly spread the virus to several people during the early subclinical period.  We evaluated the viral dynamics in various body fluid specimens, such as nasopharyngeal swab, oropharyngeal swab, saliva, sputum, and urine specimens, of two patients with COVID 19 from hospital day 1 to 9. Additional samples of the saliva were taken at 1 hour, 2 hours, and 4 hours after using a chlorhexidine mouthwash. The severe acute respiratory syndrome coronavirus 2 (SARS CoV 2) viral load was determined by real time reverse transcriptase polymerase chain reaction (rRT PCR) Results SARS CoV 2 was detected from all the five specimens of both patients by rRT PCR. The viral load was the highest in the nasopharynx (patient 1 8.41 log10 copies/mL; patient 2 7.49 log10 copies/mL) but it was also remarkably high in the saliva (patient 1 6.63 log10 copies/mL; patient 2 7.10 log10 copies/mL) SARS CoV 2 was detected up to hospital day 6 (illness day 9 for patient 2) from the saliva of both patients. The viral load in the saliva decreased transiently for 2 hours after using the chlorhexidine mouthwash.  SARS CoV 2 viral load was consistently high in the saliva; it was relatively higher than that in the oropharynx during the early stage of COVID 19. Chlorhexidine mouthwash was effective in reducing the SARS CoV 2 viral load in the saliva for a short term period.
The Correlation between Metacognitive Skills and Critical Thinking Skills at the Implementation of Four Different Learning Strategies in Animal Physiology Lectures
Year: 2020

The empowerment of metacognitive skills has an important role in increasing the capacity of critical thinking and active control of students' cognitive processes in learning. Metacognitive skills can be enhanced through the implementation of learning strategies involving higher order thinking. The RQA, ADI, RQA integrated with ADI are constructivistic learning strategies that can accommodate these skills. The researches specifically examining the correlation between metacognitive skills and critical thinking skills at the implementation of RQA, ADI, and RQA integrated with ADI learning strategies are still rarely found. This research is a correlational research, aiming at revealing the correlation between metacognitive skills and critical thinking skills. The data of metacognitive skills and critical thinking skills are collected by using a valid and reliable essay test. The samples of this research are the fourth semester (IV) biology education students programming Animal Physiology course in the 2016/2017 academic year consisting of 109 students. The results of this research show that (1) there was a significant correlation between metacognitive skills and critical thinking skills at the implementation of the four learning strategies, (2) the regression equations analyzed using Anova obtain regression lines (not coincide) and non parallel regression lines (intersected) meaning that there is a difference in the increase rate and magnitude of the critical thinking skills influenced by the four learning strategies. It is expected that the teachers and the lecturers always strive to improve the quality of the learning process through the implementation of active and constructive learning strategies.
Inadvertent tracheal perforation during thyroidectomy (Br J Surg 2006; 93: 55 56)
Venue: The British journal of surgery
Year: 2006

and postoperative oedema are associated with poorer outcomes. Conversely, perioperative optimization of both the type and volume of intravenous fluid administered may indeed be beneficial2,3. This study highlights the methodological difficulty of assessing fluid flux in vivo. The authors used bioelectrical impedance analysis measurements using four frequencies. Developments in the field of electrophysiological body composition assessment now allow for simultaneous multi frequency bioelectrical impedance spectroscopy testing. This employs mathematical modelling and mixture tools which may allow for more accurate bedside body and fluid composition assessment. In agreement with the authors' own observations, further evaluation of the benefits of body composition assessment in daily clinical practice is indeed warranted. Second, and possibly more important, this study indirectly addresses the difficulty in assessing when exactly gut function returns postoperatively. Bowel sounds are very subjective, while the return of bowel motions has repeatedly been shown to be inaccurate4. Tolerance to oral or enteral diet may represent a more reliable way to assess this endpoint. M. M. Rao, M. Gatt, R. Kallam and J. MacFie Combined Gastroenterology Research Unit, Scarborough Hospital, Scarborough YO126QL, UK DOI: 10.1002/bjs.5478
A conceptual framework for the adoption of big data analytics by e commerce startups: a case based approach
Venue: Inf. Syst. E Bus. Manag.
Year: 2019

E commerce start ups have ventured into emerging economies and are growing at a significantly faster pace. Big data has acted like a catalyst in their growth story. Big data analytics (BDA) has attracted e commerce firms to invest in the tools and gain cutting edge over their competitors. The process of adoption of these BDA tools by e commerce start ups has been an area of interest as successful adoption would lead to better results. The present study aims to develop an interpretive structural model (ISM) which would act as a framework for efficient implementation of BDA. The study uses hybrid multi criteria decision making processes to develop the framework and test the same using a real life case study. Systematic review of literature and discussion with experts resulted in exploring 11 enablers of adoption of BDA tools. Primary data collection was done from industry experts to develop an ISM framework and fuzzy MICMAC analysis is used to categorize the enablers of the adoption process. The framework is then tested by using a case study. Thematic clustering is performed to develop a simple ISM framework followed by fuzzy analytical network process (ANP) to discuss the association and ranking of enablers. The results indicate that access to relevant data forms the base of the framework and would act as the strongest enabler in the adoption process while the company rates technical skillset of employees as the most important enabler. It was also found that there is a positive correlation between the ranking of enablers emerging out of ISM and ANP. The framework helps in simplifying the strategies any e commerce company would follow to adopt BDA in future.
From Hindsight to Foresight: using collaborative methodologies to tackle the wicked problems and improve the the Emergency System
Venue: ISCRAM
Year: 2019

The main goal of this WiPe is to analyze a wicked problem of disaster management, to offer an external evaluation on how the emergency system worked and to plan a foresight exercise able to design a personalized emergency response services to citizens. The first part of the paper is rather a hindsight analysis regarding disaster management of "Colectiv 2015" one of the worst manmade disasters in the recent Romanian history. After four years of investigations and reports and many recovery measures "Colectiv 2015" is still a complex problem that needs external evaluation. The second part of the paper is a two tier research: an intermediary analysis of the wicked problem, using Barry Turner's framework and a design of a foresight exercise. In the Conclusions of WiPe we propose a design of research meant to: 1) better understand the causes and shortcomings of disaster management and failure of foresight and 2) help the Emergency System in Romania build a disaster resilience mechanism.
Plaintext Recovery Attacks against SSH
Venue: 2009 30th IEEE Symposium on Security and Privacy
Year: 2009

This paper presents a variety of plaintext recovering attacks against SSH. We implemented a proof of concept of our attacks against OpenSSH, where we can verifiably recover 14 bits of plaintext from an arbitrary block of ciphertext with probability $2^ 14} and 32 bits of plaintext from an arbitrary block of ciphertext with probability $2^ 18} These attacks assume the default configuration of a 128 bit block cipher operating in CBC mode. The paper explains why a combination of flaws in the basic design of SSH leads implementations such as OpenSSH to be open to our attacks, why current provable security results for SSH do not cover our attacks, and how the attacks can be prevented in practice.