nils-herrmann/clean_scirepeval huggingface dataset:
Investigate the Carbon distribution and Structural Group Composition of Two Kurdistan Crude Oils (T 21A PF2) and Their Fractions
Venue: 2018 International Conference on Advanced Science and Engineering (ICOASE)
Year: 2018

For the first time, a determination of the total content of oil fractions in KRG was made using two samples of Kurdistan crude oils on the basis of the n d M method. To determine the structural group composition of crude oil, it was proposed to use Tawke T 21A and Shekhan PF2 Crude oils. This paper is devoted to the study structural group of crude oil of different deposited differs from each other in physical and chemical properties. Since the properties of the oil determine the direction and application in petroleum refinery of its processing, to assess the quality of oil n d M method.
Predicting accurate cathode properties of layered oxide materials using the SCAN meta GGA density functional
Venue: npj Computational Materials
Year: 2018

Layered lithium intercalating transition metal oxides are promising cathode materials for Li ion batteries. Here, we scrutinize the recently developed strongly constrained and appropriately normed (SCAN) density functional method to study structural, magnetic, and electrochemical properties of prototype cathode materials LiNiO2, LiCoO2, and LiMnO2 at different Li intercalation limits. We show that SCAN outperforms earlier popular functional combinations, providing results in considerably better agreement with experiment without the use of Hubbard parameters, and dispersion corrections are found to have a small effect. In particular, SCAN fares better than Perdew Burke Ernzerhof (PBE) functional for the prediction of band gaps and absolute voltages, better than PBE+U for the electronic density of states and voltage profiles, and better than both PBE and PBE+U for electron densities and in operando lattice parameters. This overall better performance of SCAN may be ascribed to improved treatment of localized states and a better description of short range dispersion interactions.Batteries: predicting cathodesThere is an ever growing demand for energy storage across a wide range of industries and markets. Lithium ion batteries are viewed as one of the most promising technology choices to meet these needs. A key factor in limiting the amount of energy stored in modern lithium ion batteries is the electrochemical active material in the cathode. Now, Dan Major and colleagues from Bar Ilan University in Israel take a theoretical approach to investigate the structural details, band gap, magnetic and electronic structure, and formation energy of three prototype layered cathode materials LiNiO2, LiCoO2, and LiMnO2 at different Li intercalation limits. The deployed strongly constrained and appropriately normed functional offers better agreement with available experimental data for most studied properties, and demonstrate itself to be a versatile method in materials computation for accurate property prediction.
Cucurbitane type compounds from Momordica charantia: Isolation, in vitro antidiabetic, anti inflammatory activities and in silico modeling approaches.
Venue: Bioorganic chemistry
Year: 2019

Momordica charantia L. commonly known as bitter melon, belongs to the Cucurbitaceae family. Various in vitro and in vivo studies have indicated that extracts of bitter melons have anti diabetic properties. However, very little is known about the specific purified compounds responsible for these antidiabetic properties. In the present study, 3b,7b,25 trihydroxycucurbita 5,23(E) dien 19 al, charantal, charantoside XI, and 25x isopropenylchole 5, 6 ene 3 O d glucopyranoside were isolated from bitter melon fruit. The structures of the purified compounds were elucidated by HR ESIMS, 1D, and 2D NMR experiments. All compounds exhibited significant inhibition of a amylase and a glucosidase comparable to acarbose. Molecular docking studies demonstrated that purified compounds were able to bind to the active sites of proteins. Additionally, the purified compounds showed significant anti inflammatory activity, downregulating the expression of NF kB, iNOS, IL 6, IL 1b, TNF a, and Cox 2 in lipopolysaccharide activated macrophage RAW 264.7 cells. Our findings suggest that the purified compounds have potential anti diabetic and anti inflammatory activities and therefore hold promise for the development of plant based management for diabetic and inflammatory conditions.
The Second Zambian National Tuberculosis Drug Resistance survey a comparison of conventional and molecular methods
Venue: Tropical medicine international health TM IH
Year: 2015

The prevalence of MDR TB in Zambia was estimated to be 1.8% in 2001. A second drug resistance survey was conducted in 2008 to determine trends; the use of the Genotype MTBDRplus assay was applied to compare results to the gold standard.
Body Mass Index Versus Body Fat Percentage in Prospective National Football League Athletes: Overestimation of Obesity Rate in Athletes at the National Football League Scouting Combine
Venue: Journal of strength and conditioning research
Year: 2018

, MT, Chahla, J, Sanchez, G, Cinque, ME, Kennedy, NI, Whalen, J, Price, MD, Moatshe, G, and LaPrade, RF. Body mass index versus body fat percentage in prospective national football league athletes: overestimation of obesity rate in athletes at the national football league scouting combine.  2018 Obesity has been previously noted as a major issue in the National Football League (NFL) where it has been shown that 97% of all players demonstrate a body mass index (BMI) of =25.0 with a reported obesity rate of 56% (BMI 30.0) However, BMI does not take into account body composition by mass, and may overestimate prevalence of obesity. The purposes of this study were (a) to determine the validity of BMI as a measure of body fat percentage and obesity in athletes at the NFL Combine, (b) to define the obesity rate based on body fat percentage compared with BMI, and (c) to determine the relationship between draft status and body composition. It was hypothesized that the rate of obesity, as measured by air displacement plethysmography (ADP) would be less than the rate of obesity as measured using BMI. Athletes who competed at the 2010 through 2016 NFL Combines were included in this study. Air displacement plethysmograph testing at the Combine was performed through BOD POD Body Composition Tracking System with collection of the following metrics: body fat percentage and compared with BMI based on weight and height. In addition, the metrics were evaluated for differences over the 7 year study period to determine temporal changes and to determine draft status based on position relative to BOD POD calculations. A total of 1,958 NFL Combine participants completed ADP body composition testing. Based on BMI =30.0) the obesity rate was 53.4% versus an 8.9% obesity rate when using ADP. Drafted players demonstrated a significantly lower body fat percentage than undrafted players (p 0.05) with the exception of quarterbacks and running backs. All 8 positions of play, with the exception of defensive linemen, demonstrated a decrease in body fat percentage between 2010 and 2017. However, total body mass by position of play remained relatively constant with no significant change noted in any position. In conclusion, the obesity rate in prospective athletes at the NFL Combine was overestimated when calculated based on the BMI. Body fat percentage was more valid for determining an NFL player candidate's true body composition. Drafted players demonstrated a significantly lower body fat percentage in 6 of 8 positions compared with undrafted players. This is important to recognize for a strength and conditioning professional to use the correct metric when evaluating NFL players who could have been erroneously categorized in the obese population by their BMI. Furthermore, a higher percentage of fat translates to lower chances of becoming drafted.
The experience of adolescents participating in a randomised clinical trial in the field of mental health: a qualitative study
Venue: Trials
Year: 2016

BackgroundThis descriptive study aimed to investigate adolescents' motivations for participating in a randomised controlled trial (RCT) to explore the understanding that the young people had regarding a number of aspects of the trial design, to examine whether or not they found participation in the trial to be acceptable and what affected this, and to identify whether and how the young people felt that their participation in the RCT impacted on their experience of therapy and on therapeutic change.MethodsSeventy six adolescents who were taking part in a large scale RCT to evaluate the clinical and cost effectiveness of psychological therapies for depression were interviewed at two time points after completing therapy. The semi structured interviews, which included a focus on the young people's experience of the research study, were analysed using framework analysis.ResultsThe vast majority of adolescents found it acceptable to participate in the clinical trial, and many agreed to participate for reasons of 'conditional altruism' However consent was often given without great understanding of the key elements of the trial, including the difference between treatment arms and the randomisation process. Although the adolescents were largely positive about their experiences from taking part, the study raises questions about whether clinical outcomes may be influenced by participation in the research elements of the trial.ConclusionsAlthough adolescents are under represented in clinical trials, those who do participate are generally positive about the experience; however, careful thought needs to be given to key elements of the trial design and the potential impact of the research participation on clinical outcomes.
Occlusion Robust Face Recognition Based on Mask Learning With Pairwise Differential Siamese Network
Venue: 2019 IEEE/CVF International Conference on Computer Vision (ICCV)
Year: 2019

Deep Convolutional Neural Networks (CNNs) have been pushing the frontier of face recognition over past years. However, existing CNN models are far less accurate when handling partially occluded faces. These general face models generalize poorly for occlusions on variable facial areas. Inspired by the fact that human visual system explicitly ignores the occlusion and only focuses on the non occluded facial areas, we propose a mask learning strategy to find and discard corrupted feature elements from recognition. A mask dictionary is firstly established by exploiting the differences between the top conv features of occluded and occlusion free face pairs using innovatively designed pairwise differential siamese network (PDSN) Each item of this dictionary captures the correspondence between occluded facial areas and corrupted feature elements, which is named Feature Discarding Mask (FDM) When dealing with a face image with random partial occlusions, we generate its FDM by combining relevant dictionary items and then multiply it with the original features to eliminate those corrupted feature elements from recognition. Comprehensive experiments on both synthesized and realistic occluded face datasets show that the proposed algorithm significantly outperforms the state of the art systems.
Recent advances in controlling the internal and external properties of self assembling cyclic peptide nanotubes and dimers.
Venue: Organic biomolecular chemistry
Year: 2017

One of the most powerful strategies for the preparation of nanotubes is based on the stacking of flat shaped cyclic peptide components. This strategy allows precise control of the nanotube internal diameter, the external properties and, more recently, the structural characterisitics of the internal cavity. The recent advances in these technologies and the applications of the resulting materials are described.
PENGARUH LINGKUNGAN KELUARGA DAN LITERASI KEUANGAN TERHADAP PERILAKU KEUANGAN Survey Pada Mahasiswa S 1 Jurusan Pendidikan Ekonomi Universitas Siliwangi Tasikmalaya
Year: 2020

Permasalahan yang dikaji didalam penelitian ini adalah Perilaku Keuangan masyarakat di Tasikmalaya yang cenderung konsumtif menimbulkan berbagai perilaku keuangan yang belum maksimal seperti kurangnya kegiatan menabung, investasi, perencanaan dana darurat dan penganggaran dana untuk masa depan. Penelitian ini bertujuan untuk mengetahui dan menganalisa pengaruh lingkungan keluarga dan literasi keuangan terhadap perilaku keuangan mahasiswa Jurusan Pendidikan Ekonomi Universitas Siliwangi Tasikmalaya. Penelitian ini dilakukan dengan metode survey explanatory. Populasi dalam penelitian ini adalah mahasiswa tingkat satu sampai dengan tingkat empat Jurusan Pendidikan Ekonomi Universitas Siliwangi berjumlah 507 mahasiswa. Teknik yang digunakan dalam pengambilan sampel ini menggunakan teknik Random Sampling dan terpilih 4 angkatan dengan total sampel 224 responden. Hasil penelitian menunjukkan bahwa 1) lingkungan keluarga berpengaruh terhadap perilaku keuangan mahasiswa, 2) literasi keuangan berpengaruh terhadap perilaku keuangan mahasiswa dan 3) lingkungan keluarga dan literasi keuangan berpengaruh terhadap perilaku keuangan. Hasil penelitian ini diharapkan dapat membantu semua pihak yang berkepentingan agar menjadi pertimbangan untuk memperbaiki perilaku keuangan mahasiswa sehingga dalam mengelola keuangan menjadi sehat dan akan berdampak kepada kesejahteraan bagi masyarakat. The problem examined in this research is the Financial Behavior of the people in Tasikmalaya, which tends to be consumptive, leading to a variety of financial behaviors that have not been maximized such as the lack of savings, investment, emergency fund planning and budgeting for future funds. This study aims to determine and analyze the influence of family environment and financial literacy on the financial behavior of students of the Department of Economic Education at Siliwangi University, Tasikmalaya. This research was conducted with an explanatory survey method. The population in this study were students from level one to level four at the Department of Economic Education at Siliwangi University totaling 507 students. The technique used in this sampling uses the Random Sampling technique and 4 batches are selected with a total sample of 224 respondents. The results showed that 1) the family environment influenced the financial behavior of students, 2) financial literacy affected the financial behavior of students and 3) the family environment and financial literacy influenced the financial behavior. The results of this study are expected to help all interested parties in this matter as considerations to improve student financial behavior so that in managing finances it will be healthy and will have an impact on welfare for the community
Cognitive Behaviour Therapy for Health Anxiety: A Systematic Review and Meta Analysis
Venue: Behavioural and Cognitive Psychotherapy
Year: 2017

Health anxiety (HA) or hypochondriasis, is a psychological problem characterized by a preoccupation with the belief that one is physically unwell. A 2007 Cochrane review (Thomson and Page, 2007) found cognitive behavioural therapy (CBT) to be an effective intervention for individuals with HA. Similar findings were reported in a recent meta analysis (Olatunji et al. 2014) which did not employ a systematic search strategy. The current review aimed to investigate the efficacy of CBT for HA, and to update the existing reviews.  A systematic search was conducted following Preferred Reporting Items for Systematic Reviews and Meta Analyses (PRISMA) guidance, including randomized controlled trials that compared CBT with a control condition for people with HA. Five hundred and sixty seven studies were found in the original search, of which 14 were included in the meta analysis.  Meta analysis was conducted on 21 comparisons and a large effect size for CBT compared with a control condition was found at post therapy d 1.01 (95% confidence interval 0.77 1.25) as well as at 6 and 12 month follow up.  This systematic review and meta analysis provides support for the hypothesis that CBT is an effective intervention for HA when compared with a variety of control conditions, e.g. treatment as usual, waiting list, medication, and other psychological therapies.
Sabutoclax, pan active BCL 2 protein family antagonist, overcomes drug resistance and eliminates cancer stem cells in breast cancer.
Venue: Cancer letters
Year: 2018

Misregulation of BCL 2 family of proteins renders a survival signal to withstand cytotoxic anticancer drugs and is often found in drug resistant cells. The drug resistance phenotype is also associated with an enhancement of cancer stem cell like (CSC) characteristics. Thus, inhibition of anti apoptotic BCL 2 family proteins has been proposed as a possible antineoplastic strategy, and BCL 2 inhibitors are currently being clinically trailed in patients with leukemia, lymphoma or non small cell lung cancer. However, the effects of BCL 2 inhibitors on drug resistant breast cancer have not yet been elucidated. In the present study, the effect of sabutoclax, a pan active BCL 2 protein family antagonist, on two chemoresistant breast cancer cell lines was assessed. We found that sabutoclax showed a significant cytotoxic activity on chemoresistant breast cancer cells both in vitro and in vivo. When chemotherapeutic agents were combined with sabutoclax, strong synergistic antiproliferative effects were observed. Sabutoclax induced the blockage of BCL 2, MCL 1, BCL xL and BFL 1, which in turn led to caspase 3/7 and caspase 9 activation and modulation of Bax, Bim, PUMA and survivin expression. Furthermore, sabutoclax effectively eliminated the CSC subpopulation and reduced sphere formation of drug resistant cells through down regulation of the IL 6/STAT3 signaling pathway. A similar effect was observed in a small panel of nine breast tumors ex vivo. Our findings indicate that sabutoclax partially overcomes the drug resistance phenotype of breast cancer cells by reactivation of apoptosis, mediated by the inhibition of several anti apoptotic BCL 2 family proteins, and eliminates CSCs by abolition of the IL 6/STAT3 pathway. This offers a strong rationale to explore the therapeutic strategy of using sabutoclax alone or in combination for chemotherapy nonresponsive breast cancer patients.
Jumping NLP Curves: A Review of Natural Language Processing Research [Review Article]
Venue: IEEE Computational Intelligence Magazine
Year: 2014

Natural language processing (NLP) is a theory motivated range of computational techniques for the automatic analysis and representation of human language. NLP research has evolved from the era of punch cards and batch processing (in which the analysis of a sentence could take up to 7 minutes) to the era of Google and the likes of it (in which millions of webpages can be processed in less than a second) This review paper draws on recent developments in NLP research to look at the past, present, and future of NLP technology in a new light. Borrowing the paradigm of `jumping curves' from the field of business management and marketing prediction, this survey article reinterprets the evolution of NLP research as the intersection of three overlapping curves namely Syntactics, Semantics, and Pragmatics Curveswhich will eventually lead NLP research to evolve into natural language understanding.
Integracion vertical en el sector de la salud colombiano
Year: 2015

Este documento presenta una revision de la literatura relacionada con integracion vertical en sistemas de salud con un enfasis espacial en el sector de la salud Colombiano. Nosotros empezamos introduciendo algunos conceptos generales acerca de la integracion vertical presentando algunas de sus ventajas y desventajas tradicionales. Luego, nosotros nos enfocamos en las consecuencias de la integracion vertical en el sector de salud, tomando como referencia la experiencia de Estados Unidos. Posteriormente, describimos el sistema de salud Colombiano y algunos cambios de la regulacion de la integracion vertical. Finalmente, proveemos algunas recomendaciones de politica publica relacionada con esta regulacion. En particular, recomendamos un cambio desde un enfoque regulatorio hacia un modelo de supervision.
Packed Homomorphic Encryption Based on Ideal Lattices and Its Application to Biometrics
Venue: CD ARES Workshops
Year: 2013

Among many approaches for privacy preserving biometric authentication, we focus on the approach with homomorphic encryption, which is public key encryption supporting some operations on encrypted data. In biometric authentication, the Hamming distance is often used as a metric to compare two biometric feature vectors. In this paper, we propose an efficient method to compute the Hamming distance on encrypted data using the homomorphic encryption based on ideal lattices. In our implementation of secure Hamming distance of 2048 bit binary vectors with a lattice of 4096 dimension, encryption of a vector, secure Hamming distance, and decryption respectively take about 19.89, 18.10, and 9.08 milliseconds (ms) on an Intel Xeon X3480 at 3.07 GHz. We also propose a privacy preserving biometric authentication protocol using our method, and compare it with related protocols. Our protocol has faster performance and shorter ciphertext size than the state of the art prior work using homomorphic encryption.
Upper alpha neurofeedback training enhances working memory performance using LabVIEW
Year: 2017

This study aimed to improve working memory performance by the enhancement of upper alpha band of electroencephalography (EEG) using Neurofeedback Training (NFT) Twenty five healthy subjects were trained on five sessions by means of feedback provided in the form of visual cues. The EEG signal is acquired using single channel electrode and connected to the system through Data Acquisition Device (DAQ) The upper alpha band (10 13 Hz) signal is extracted using LabVIEW software. Then the subject is asked to stay relaxed by viewing the natural scenes displaying in the system. With appropriate protocol designed for NFT, the end results showed that the participants were able to learn to increase the relative amplitude levels in individual alpha band during neurofeedback training and working memory performance was significantly improved by the enhancement of upper alpha band. On the first and last session, cognitive skill is tested by a conceptual span test and the scores are compared. In this study, 25 subjects showed significant success of training.