nils-herrmann/clean_scirepeval huggingface dataset:
ANALISIS SENYAWA MINYAK ATSIRI BIJI PALA SECARA GC MS DAN UJI AKTIVITAS ANTIBAKTERI TERHADAP Escherichia coli DAN Staphylococcus aureus
Year: 2018

Pala merupakan tanaman asli Indonesia. Bagian buah pala meliputi daging buah, kulit biji dan biji pala. Secara komersial biji pala merupakan bagian terpenting dari buah pala dan dapat dibuat menjadi berbagai produk antara lain minyak atsiri dan oleoresin. Kadar minyak atsiri pada biji pala yang banyak diperlukan sebagai obat berkadar minyak atsiri yang tidak kurang dari 5% volume berat. Penelitian tentang minyak atsiri saat ini banyak diarahkan untuk memanfaatkannya sebagai antimikroba penyakit yang disebabkan oleh bakteri atau jamur. Isolasi minyak biji pala dilakukan dengan metode destilasi air dan didapatkan rendemen sebanyak 0,301 Minyak atsiri biji pala dianalisis dengan GC MS dan diuji aktivitas antibakteri terhadap Escherichia coli dan Staphylococus aureus. Analisis GC MS bertujuan untuk mengetahui kandungan senyawa kimia. Hasil GC MS diambil 5 senyawa yang mempunyai peak paling tinggi atau yang dominan. Senyawa tersebut yaitu g terpinene, 3 cyclohexene 1 ol,4 metthyl 1 (1 methylethyl) safrol, Miristisin, metil ester. Minyak atsiri biji pala diujikan terhadap bakteri Escherichia coli dan Stapylococus aureus dengan metode difusi dan dilusi. Hasil uji dengan metode dilusi tidak dapat ditentukan KHM dan KBM dikarenakan pelarut yang kurang cocok. Hasil uji difusi termasuk dalam kategori lemah untuk bakteri E. coli dan termasuk kategori kuat untuk bakteri S. aureus. Kata kunci antibakteri, biji pala,GC MS, senyawa.
An Explorative Study of Qualities in Interactive Processes with Children and Their Parents in Music Therapy during and after Pediatric Hematopoietic Stem Cell Transplantation
Venue: Medicines
Year: 2019

Hematopoietic stem cell transplantation (HSCT) is an established treatment for severe disorders of the pediatric hematopoietic system. However, there is a need for supportive interventions due to physiological and psychological strain. Music therapy is used in health care to help patients through difficult experiences and enable well being. Our previous randomized studies showed significantly reduced heart rates four to eight hours after intervention as well as increased health related quality of life.  The aim of this qualitative study was to explore the participants' and parents' own experiences of the interactive processes during the music therapy intervention. Six families were included. The data collection used collaborative research interviews. An independent psychologist facilitated the interviews with the children, the parents, and the music therapist and also performed the analysis.  Three main themes emerged: experiences of competency and recognition of self, interactive affect regulation as change potential, and importance of the therapeutic relationship.  For the participants, music therapy developed into a significant and helpful experience, an important ingredient in coping with and managing the treatment period at the hospital.
Personal space regulation in childhood autism: Effects of social interaction and person's perspective
Venue: Autism research official journal of the International Society for Autism Research
Year: 2017

Studies in children with Typical Development (TD) and with Autism Spectrum Disorder (ASD) revealed that autism affects the personal space regulation, influencing both its size (permeability) and its changes depending on social interaction (flexibility) Here, we investigate how the nature of social interaction (Cooperative vs. Uncooperative) and the person perspective influence permeability and flexibility of interpersonal distance. Moreover, we tested whether the deficit observed in ASD children, reflects the social impairment (SI) in daily interactions. The stop distance paradigm was used to measure the preferred distance between the participant and an unfamiliar adult (first person perspective, Experiment 1) and between two other people (third person perspective, Experiment 2) Interpersonal distance was measured before and after the interaction with a confederate. The Wing Subgroups Questionnaire was used to evaluate SI in everyday activities, and each ASD participant was accordingly assigned either to the lower (children with low social impairment [low SI ASD] or to the higher SI group (children with high social impairment [high SI ASD] We observed larger interpersonal distance (permeability) in both ASD groups compared to TD children. Moreover, depending on the nature of social interaction, a modulation of interpersonal distance (flexibility) was observed in TD children, both from the first and third person perspective. Similar findings were found in low SI but not in high SI ASD children, in Experiment 1. Conversely, in Experiment 2, no change was observed in both ASD groups. These findings reveal that SI severity and a person's perspective may account for the deficit observed in autism when flexibility, but not permeability, of personal space is considered.  144 154.
Secure Multi party Quantum Computation with a Dishonest Majority
Venue: IACR Cryptol. ePrint Arch.
Year: 2019

The cryptographic task of secure multi party (classical) computation has received a lot of attention in the last decades. Even in the extreme case where a computation is performed between $k$ mutually distrustful players, and security is required even for the single honest player if all other players are colluding adversaries, secure protocols are known. For quantum computation, on the other hand, protocols allowing arbitrary dishonest majority have only been proven for $k=2$ In this work, we generalize the approach taken by Dupuis, Nielsen and Salvail (CRYPTO 2012) in the two party setting to devise a secure, efficient protocol for multi party quantum computation for any number of players $k$ and prove security against up to $k 1$ colluding adversaries. The quantum round complexity of the protocol for computing a quantum circuit with $g$ gates acting on $w$ qubits is $O((w+g)k) To achieve efficiency, we develop a novel public verification protocol for the Clifford authentication code, and a testing protocol for magic state inputs, both using classical multi party computation.
Evaluating the performance of unmanned ground vehicle water detection
Venue: PerMIS
Year: 2010

Water detection is a critical perception requirement for unmanned ground vehicle (UGV) autonomous navigation over cross country terrain. Under the Robotics Collaborative Technology Alliances (RCTA) program, the Jet Propulsion Laboratory (JPL) developed a set of water detection algorithms that are used to detect, localize, and avoid water bodies large enough to be a hazard to a UGV. The JPL water detection software performs the detection and localization stages using a forward looking stereo pair of color cameras. The 3D coordinates of water body surface points are then output to a UGV's autonomous mobility system, which is responsible for planning and executing safe paths. There are three primary methods for evaluating the performance of the water detection software. Evaluations can be performed in image space on the intermediate detection product, in map space on the final localized product, or during autonomous navigation to characterize the avoidance of a variety of water bodies. This paper describes a methodology for performing the first two types of water detection performance evaluations.
MR Imaging and Quantification of CMRO2, CBF and OEF in Human Visual Cortex at Rest and during Activation
Year: 2013

Oxygen consumption occurs in the mitochondrial respiratory chain to form ATP for supporting the energy needs in the brain and other aerobic organs. In vivo O MRS/I has unique ability for assessing cerebral oxygen metabolism via imaging the dynamic change of the metabolic H2O during an inhalation of Oisotope labeled oxygen gas (O2) 1 4 according to the reaction of 4H 4e O2 2H2O. However, the cerebral metabolic rate of oxygen (CMRO2) in human is difficult to quantify due to the large body size and slow exchange between the labeled and non labeled oxygen gases in the lung as compare to small animals. This issue could become more problematic for a short O2 inhalation experiment. In this study, a simple and practical approach was proposed for measuring gas exchange rate of lung, which was incorporated into a comprehensive modeling for simultaneously determining three important physiology parameters of CMRO2, CBF and OEF in the human brain with a brief O2 inhalation time of 2 3 minutes. This new approach was tested in the human visual cortex under resting and visual stimulation conditions. Theory The quantification method is based on following mass balance equation 2 4 dCb(t)
Sleep spindling and fluid intelligence across adolescent development: sex matters
Venue: Front. Hum. Neurosci.
Year: 2014

Evidence supports the intricate relationship between sleep electroencephalogram (EEG) spindling and cognitive abilities in children and adults. Although sleep EEG changes during adolescence index fundamental brain reorganization, a detailed analysis of sleep spindling and the spindle intelligence relationship was not yet provided for adolescents. Therefore, adolescent development of sleep spindle oscillations were studied in a home polysomnographic study focusing on the effects of chronological age and developmentally acquired overall mental efficiency (fluid IQ) with sex as a potential modulating factor. Subjects were 24 healthy adolescents (12 males) with an age range of 15 22 years (mean: 18 years) and fluid IQ of 91 126 (mean: 104.12, Raven Progressive Matrices Test) Slow spindles (SSs) and fast spindles (FSs) were analyzed in 21 EEG derivations by using the individual adjustment method (IAM) A significant age dependent increase in average FS density (r 0.57; p 0.005) was found. Moreover, fluid IQ correlated with FS density (r 0.43; p 0.04) and amplitude (r 0.41; p 0.049) The latter effects were entirely driven by particularly reliable FS IQ correlations in females [r 0.80 (p 0.002) and r 0.67 (p 0.012) for density and amplitude, respectively] Region specific analyses revealed that these correlations peak in the fronto central regions. The control of the age dependence of FS measures and IQ scores did not considerably reduce the spindle IQ correlations with respect to FS density. The only positive spindle index of fluid IQ in males turned out to be the frequency of FSs (r 0.60, p 0.04) Increases in FS density during adolescence may index reshaped structural connectivity related to white matter maturation in the late developing human brain. The continued development over this age range of cognitive functions is indexed by specific measures of sleep spindling unraveling gender differences in adolescent brain maturation and perhaps cognitive strategy.
Eat, Pray, Love: Producing the Female Neoliberal Spiritual Subject
Year: 2014

O RIGINALLY PUBLISHED IN 2006, ELIZABETH GILBERT'S MEMOIR EAT, Pray, Love, has garnered an enormous popularity that shows no sign of ceasing. With over seven million copies currently in print, the book has spent, as of December 3, 2010, 199 weeks on the New York Times paperback nonfiction bestseller list (New York Times) with conservative estimates projecting at least US$15 million in earnings for the book's publisher, Penguin (Trachtenberg) Book sales received a bump in August 2010, with the release of a long awaited film adaptation of Eat, Pray, Love starring Julia Roberts. Currently, box office sales for the film total more than US$180 million, with additional dollars expected from showings in international venues as well as DVD sales (Paul) This is not to mention the revenue generated by the over four hundred Eat, Pray, Love product tie ins which the Home Shopping Network showcased after the movie's premier via 'three days of on air branded content and an interactive Web site' (Boorstin) Products that bear the Eat, Pray, Love (EPL) brand (both officially and unofficially) range from perfume, tea, yoga gear, prayer beads, and jewelry to EPL themed travel tours that include spa treatments, visits to temples, and copious amounts of yoga and meditation all activities Gilbert herself partook in as she wrote her book. As CNBC correspondent Julia Boorstin notes, these products represent 'breaking ground for how content and merchandise [can] work together' to generate increasing flows of revenue. From the outset, Eat, Pray, Love and the attendant EPL brand have been explicitly targeted at a female audience. Though such surface
Experimental and numerical investigation of grooves shape on the energy absorption of 6061 T6 aluminium tubes under axial compression
Year: 2012

In this paper, an experimental study is presented to investigate the crushing behaviour and energy absorption of 6061 T6 aluminium alloy grooved tubes with different grooves shapes. In order to study the effects of geometry and number of grooves on the behaviour of the thin walled cylindrical tubes, a series of quasi static axial compression tests are performed. Also, several numerical simulations using ABAQUS finite element explicit code are performed to study the energy absorption characteristics of these structures. Meanwhile, this study focused on selecting the best geometry of grooves on the tube with comparison between crashworthiness characteristics and collapse mode. The grooves are formed as isosceles triangle, circular, trapezoid and rectangle, whose are introduced inside and outside the tube. In general, geometrical parameters of grooves and dimension of the tube are not changed along the tube. It was found that numbers and geometry of grooves are important to improve the uniformity of the load displacement behaviour of axially crushed tubes, decrease the maximum crushing load, predict and control the collapse mode. Also, the analytical results for mean crushing load and energy absorption, using the equations presented in other paper are calculated and compared with the experimental and numerical results.
A Rare Presentation of a Malignant Melanoma Presenting as a Large Pulmonary Mass Causing Superior Vena Cava Obstruction
Year: 2020

A 50 year old otherwise well man with a 20 pack year smoking history was referred for a computed tomography pulmonary angiogram (CTPA) to investigate progressive dyspnea and cough over several weeks. A large 16 cm solitary mass was discovered in the right hemithorax causing encasement of the superior vena cava (SVC) with an intraluminal obstructing SVC tumor thrombus. Initial CT did not reveal any further sites of distant metastatic disease for a presumed primary lung malignancy. However, a core biopsy revealed the mass to be the solitary presentation of a primary BRAF V600E positive malignant melanoma. Urgent initiation of molecular targeted therapy with combination tyrosine kinase inhibitors (dabrafenib (BRAF) trametinib (MEK) inhibition) led to significant tumor regression, including of the extensive tumor thrombus.
Unifying Blockchian and IoT:Security Requirements, Challenges, Applications and Future Trends
Venue: 2019 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS)
Year: 2019

Blockchain is a decentralized and distributed public ledgers which holds sensitive and invariant data in an encrypted and secured manner to ensure no mid way alterations are possible in a transaction, proving user a secure and trustable facility. While cryptocurrency like Bitcoin are major and most popular faces, Blockchain technology has gained a huge momentum recently. Objective of this paper is to layout a detailed survey on blockchain technology, to explain some important terminologies related to Blockchain, to compare IoT and traditional network on the basis of security, compatibility and capacity and to provide an insight on blockchain based IoT and Industrial IoT. Later, the challenges faced while adopting blockchain in IoT and it's future scopes are discussed.
Assessment IT Governance of Human Resources Information System Using COBIT 5
Year: 2020

The textile industry in Yogyakarta is one of the industries that manage the human resources in the field of information technology. As one way to achieve organizational goals that have human resources that are able to develop and provide benefits for the organizations. This study focuses on attendance information system in the textile industry located in Yogyakarta, which aims to get an overview how far the industry provides a timely and effective response to user requests of all types of incidents. Problem found by the researchers is the occurrence of inaccuracies data on the attendance, with these inaccurate results it will automatically affect the salary results are not accurate. In this research, the authors use the framework COBIT 5 and focus on the Deliver Service and Support (DSS) domain. Researchers chose a sub domain DSS that is DSS02. The results of this research are found that sub domains DSS02 get an average capability level is 2.4. The conclusion is the capability level obtained by the attendance information system is still below the expected level
Simple Attention Based Representation Learning for Ranking Short Social Media Posts
Venue: NAACL
Year: 2019

This paper explores the problem of ranking short social media posts with respect to user queries using neural networks. Instead of starting with a complex architecture, we proceed from the bottom up and examine the effectiveness of a simple, word level Siamese architecture augmented with attention based mechanisms for capturing semantic "soft" matches between query and post tokens. Extensive experiments on datasets from the TREC Microblog Tracks show that our simple models not only achieve better effectiveness than existing approaches that are far more complex or exploit a more diverse set of relevance signals, but are also much faster.
Nut consumption and risk of type 2 diabetes, cardiovascular disease, and all cause mortality: a systematic review and meta analysis.
Venue: The American journal of clinical nutrition
Year: 2014

Epidemiologic studies have shown inverse associations between nut consumption and diabetes, cardiovascular disease (CVD) and all cause mortality, but results have not been consistent.  We assessed the relation between nut intake and incidence of type 2 diabetes, CVD, and all cause mortality.  We searched PubMed and EMBASE for all prospective cohort studies published up to March 2013 with RRs and 95% CIs for outcomes of interest. A random effects model was used to pool risk estimates across studies.  In 31 reports from 18 prospective studies, there were 12,655 type 2 diabetes, 8862 CVD, 6623 ischemic heart disease (IHD) 6487 stroke, and 48,818 mortality cases. The RR for each incremental serving per day of nut intake was 0.80 (95% CI: 0.69, 0.94) for type 2 diabetes without adjustment for body mass index; with adjustment, the association was attenuated [RR: 1.03; 95% CI: 0.91, 1.16; NS] In the multivariable adjusted model, pooled RRs (95% CIs) for each serving per day of nut consumption were 0.72 (0.64, 0.81) for IHD, 0.71 (0.59, 0.85) for CVD, and 0.83 (0.76, 0.91) for all cause mortality. Pooled RRs (95% CIs) for the comparison of extreme quantiles of nut intake were 1.00 (0.84, 1.19; NS) for type 2 diabetes, 0.66 (0.55, 0.78) for IHD, 0.70 (0.60, 0.81) for CVD, 0.91 (0.81, 1.02; NS) for stroke, and 0.85 (0.79, 0.91) for all cause mortality.  Our meta analysis indicates that nut intake is inversely associated with IHD, overall CVD, and all cause mortality but not significantly associated with diabetes and stroke. The inverse association between the consumption of nuts and diabetes was attenuated after adjustment for body mass index. These findings support recommendations to include nuts as part of a healthy dietary pattern for the prevention of chronic diseases.
Learning Optimal Decision Trees Using Caching Branch and Bound Search
Venue: AAAI
Year: 2020

Several recent publications have studied the use of Mixed Integer Programming (MIP) for finding an optimal decision tree, that is, the best decision tree under formal requirements on accuracy, fairness or interpretability of the predictive model. These publications used MIP to deal with the hard computational challenge of finding such trees. In this paper, we introduce a new efficient algorithm, DL8.5, for finding optimal decision trees, based on the use of itemset mining techniques. We show that this new approach outperforms earlier approaches with several orders of magnitude, for both numerical and discrete data, and is generic as well. The key idea underlying this new approach is the use of a cache of itemsets in combination with branch and bound search; this new type of cache also stores results for parts of the search space that have been traversed partially.
GREEN BIOSYNTHESIS OF MAGNETIC IRON OXIDE NANOPARTICLES OF VITEX NEGUNDO AQUEOUS EXTRACT
Year: 2018

The green synthesis of magnetic iron oxide nanoparticles is a convenient, economical, rapid and eco friendly method compared to physical and chemical synthesis methods.  In the present study iron oxide nanoparticles synthesized by Vitex negundo leaves extract.  The formation of iron oxide nanoparticles was confirmed by the colour change and further characterized by UV Visible Spectroscopy and XRD. The morphology and the size of nanoparticles were analyzed by SEM and HR TEM analysis.  On the basis of this research work, green synthesized iron oxide nanoparticles can be a good source for alternative therapy for human diseases.
Privacy Data Management and Awareness for Public Administrations: A Case Study from the Healthcare Domain
Venue: APF
Year: 2017

Development of Information Systems that ensure privacy is a challenging task that spans various fields such as technology, law and policy. Reports of recent privacy infringements indicate that we are far from not only achieving privacy but also from applying Privacy by Design principles. This is due to lack of holistic methods and tools which should enable to understand privacy issues, incorporate appropriate privacy controls during design time and create and enforce a privacy policy during run time. To address these issues, we present VisiOn Privacy Platform which provides holistic privacy management throughout the whole information system lifecycle. It contains a privacy aware process that is supported by a software platform and enables Data Controllers to ensure privacy and Data Subjects to gain control of their data, by participating in the privacy policy formulation. A case study from the healthcare domain is used to demonstrate the platform's benefits.
Korean EFL Learners' L2 Mental Lexicon: Vocabulary Size and Word Association Types
Year: 2019

This paper examined factors affecting Korean EFL learners' word association types in their L2 mental lexicon. Specifically, vocabulary size of the learners was examined to see if it had any significant relationship with word association types. To this end, experiment procedures that included vocabulary size test and the lexical decision task as well as the word association task were conducted on 40 Korean EFL learners. Reaction time and accuracy of responding to word associations in the lexical decision task were measured. Subsequently, a correlation analysis was conducted with their vocabulary size. Additionally, learners' word association types were analyzed based on the results of word association task. The results showed that Korean EFL learners' vocabulary size had significant correlations with their accuracy in identifying syntagmatic and paradigmatic associations, but not in the phonological association. However, their accuracy was not correlated with reaction times. The results indicate that L2 learners' mental lexicon is partially dependent on their vocabulary size of the target language, and it is variable depending on word association types.