LLukas22/scidocs huggingface dataset:
Oil from pumpkin (Cucurbita pepo L.) seeds: evaluation of its functional properties on wound healing in rats

Increasing natural drug demand for pharmaceutical uses has encouraged scientifics all over the world to explore medicinal plants recognized as efficient remedies. In this context, extracted oil from pumpkin seeds (Cucurbita pepo L.) is an interesting target, as it is composed with prominent pharmacological properties to possible wound healing treatments. The composition and content of certain bioactive constituents of the cold pressed oil obtained from pumpkin seeds (Cucurbita pepo L.) were analyzed and studied for their wound healing properties. Uniform wounds were induced on the dorsum of 18 rats, randomly divided into three groups. The wounds were photographed, and topically treated with saline solution (control group), 0.13 mg/mm2 of a reference drug (“Cicaflora cream®”), and 0.52 μl/mm2 of pumpkin’s oil each 2 days until the first group is completely healing and so far biopsies were histologically assessed. The composition and content of tocopherols, fatty acids, and phytosterols were determined. The results showed an excellent quality of pumpkin oil with high content of polyunsaturated fatty acids (Linoleic acid: 50.88 ± 0.106 g/100 g of total fatty acids), tocopherols (280 ppm) and sterols (2086.5 ± 19.092 ppm). High content of these bioactive components were in agreement with an efficient wound healing by the mean of an in vivo study. In fact, morphometric assessment and histological findings revealed healed biopsies from pumpkin oil treated group of rats, unlike untreated group, and a full re-epithelialization with reappearance of skin appendages and well organized collagen fibers without inflammatory cells. This study showed the significance of oil from pumpkin seeds (Cucurbita pepo L.) as a promising drug to healing wounds in animal assays. As a whole, pumpkin’s oil would be recommended in the nutritional and medicinal purposes.
Generating matrix of the bi-periodic Lucas numbers

In this paper, firstly, we introduce the Ql-Generating matrix for the bi-periodic Lucas numbers. Then, by taking into account this matrix representation, we obtain some properties for the bi-periodic Fibonacci and Lucas numbers.
Measuring influence on Twitter

There are currently over 175 million Twitter accounts worldwide, making Twitter one of the most popular and most observed Social Media platform. But Twitter is not so much a social network where the exchange of personal information is facilitated -- in fact, recent surveys state that it's not very social at all with a large amount of inactive accounts and a low motivation of engaging in dialogues [1]. Twitter has rather evolved into a pool of constantly updating information streams consisting of links, short status updates, and eyewitness news. Among the millions of users, a small percentage is what is called the group of influencers or alpha users. They have a large, active audience that consumes and multiplies the content published by the influencer. Thus, an influencer's content -- whether it is plain text or links -- is distributed in a number of micro-networks and receives attention from a large amount of users even though they might not even be direct followers of the influencer. The further the content is spread, the further the influence of the user reaches.
 There are various tools that enable performance measurement on Social Media. Some only sum up numbers such as the amount of followers or mentions gained on Twitter; others interpret the numbers and rate the performance using a specific algorithm. An example for the latter is Klout, a popular service that will be looked at more closely, focusing on the question of how Klout calculates its scores which serve as a means of measuring success of Twitter usage.
 The research purpose of this paper is to determine a grounded approach for measuring social networking potential of individual Twitter users.
Network monitoring: Present and future

Network monitoring guides network operators in understanding the current behavior of a network. Therefore, accurate and efficient monitoring is vital to ensure that the network operates according to the intended behavior and then to troubleshoot any deviations. However, the current practice of network-monitoring largely depends on manual operations, and thus enterprises spend a significant portion of their budgets on the workforce that monitor their networks. We analyze present network-monitoring technologies, identify open problems, and suggest future directions. In particular, our findings are based on two different analyses. The first analysis assesses how well present technologies integrate with the entire cycle of network-management operations: design, deployment, and monitoring. Network operators first design network configurations, given a set of requirements, then they deploy the new design, and finally they verify it by continuously monitoring the network’s behavior. One of our observations is that the efficiency of this cycle can be greatly improved by automated deployment of pre-designed configurations, in response to changes in monitored network behavior. Our second analysis focuses on network-monitoring technologies and group issues in these technologies into five categories. Such grouping leads to the identification of major problem groups in network monitoring, e.g., efficient management of increasing amounts of measurements for storage, analysis, and presentation. We argue that continuous effort is needed in improving network-monitoring since the presented problems will become even more serious in the future, as networks grow in size and carry more data. 2014 Elsevier B.V. All rights reserved.
Comparing treatment outcome of infliximab and adalimumab in patients with severe hidradenitis suppurativa.

BACKGROUND
Hidradenitis suppurativa (HS) is a chronic relapsing skin disease. Recent studies have shown promising results of anti-tumor necrosis factor-alpha treatment.


OBJECTIVE
To compare the efficacy and safety of infliximab and adalimumab in the treatment of HS.


METHODS
A retrospective study was performed to compare 2 cohorts of 10 adult patients suffering from severe, recalcitrant HS. In 2005, 10 patients were treated with infliximab intravenous (i.v.) (3 infusions of 5 mg/kg at weeks 0, 2, and 6). In 2009, 10 other patients were treated in the same hospital with adalimumab subcutaneous (s.c.) 40 mg every other week. Both cohorts were followed up for 1 year using identical evaluation methods [Sartorius score, quality of life index, reduction of erythrocyte sedimentation rate (ESR) and C-reactive protein (CRP), patient and doctor global assessment, and duration of efficacy].


RESULTS
Nineteen patients completed the study. In both groups, the severity of the HS diminished. Infliximab performed better in all aspects. The average Sartorius score was reduced to 54% of baseline for the infliximab group and 66% of baseline for the adalimumab group.


CONCLUSIONS
Adalimumab s.c. 40 mg every other week is less effective than infliximab i.v. 5 mg/kg at weeks 0, 2, and 6.
Prevalence and characteristics of MUTYH-associated polyposis in patients with multiple adenomatous and serrated polyps.

PURPOSE
The present study aimed to determine the prevalence of MUTYH mutations in patients with multiple colonic polyps and to explore the best strategy for diagnosing MUTYH-associated polyposis (MAP) in these patients.


EXPERIMENTAL DESIGN
This study included 405 patients with at least 10 colonic polyps each. All cases were genetically tested for the three most frequent MUTYH mutations. Whole-gene analysis was performed in heterozygous patients and in 216 patients lacking the three most frequent mutations. Polyps from 56 patients were analyzed for the KRAS-Gly12Cys and BRAF V600E somatic mutations.


RESULTS
Twenty-seven (6.7%) patients were diagnosed with MAP, of which 40.8% showed serrated polyps. The sensitivity of studying only the three common variants was 74.1%. Of 216 patients without any monoallelic mutation in common variants, whole-gene analysis revealed biallelic pathogenic mutation in only one. G396D mutation was associated with serrated lesions and older age at diagnosis. There was a strong association between germinal MUTYH mutation and KRAS Gly12Cys somatic mutation in polyps. BRAF V600E mutation was found in 74% of serrated polyps in MUTYH-negative patients and in none of the polyps of MAP patients.


CONCLUSIONS
We observed a low frequency of MUTYH mutations among patients with multiple adenomatous and serrated polyps. The MAP phenotype frequently included patients with serrated polyps, especially when G396D mutation was involved. Our results show that somatic molecular markers of polyps can be useful in identifying MAP cases and support the need for the complete MUTYH gene analysis only in patients heterozygous for recurrent variants.
A prospective assessment of racial/ethnic differences in future mammography behavior among women who had early mammography.

BACKGROUND
Twenty-nine percent of women, aged 30 to 39, report having had a mammogram, though sensitivity and specificity are low. We investigate racial/ethnic differences in future mammography behavior among women who had a baseline screening mammogram prior to age 40.


METHODS
Using 1994-2008 data from the Breast Cancer Surveillance Consortium (BCSC), we identified 29,390 women aged 35 to 39 with a baseline screening mammogram. We followed this cohort for 2 outcomes: (i) future BCSC mammography between ages 40 and 45; and (2) among those, delay in screening mammography until ages 43 to 45 compared with ages 40 to 42. Using adjusted log-linear models, we estimated the relative risk (RR) of these outcomes by race/ethnicity, while also considering the impact of false-positive/true-negative (FP/TN) baseline mammography results on these outcomes.


RESULTS
Relative to non-Hispanic white women, Hispanic women had an increased risk of no future BCSC mammography (RR: 1.21, 95% CI: 1.13-1.30); Asian women had a decreased risk (RR: 0.67, 95% CI: 0.61-0.74). Women with a FP result, compared with a TN result, had a decreased risk of no future BCSC mammography (RR: 0.89, 95% CI: 0.85-0.95). Among those with future BCSC screening mammography, African American women were more likely to delay the timing (RR: 1.26, 95% CI: 1.09-1.45). The interaction between race/ethnicity and FP/TN baseline results was not significant.


CONCLUSIONS
Race/ethnicity is differentially associated with future BCSC mammography and the timing of screening mammography after age 40.


IMPACT
These findings introduce the need for research that examines disparities in lifetime mammography use patterns from the initiation of mammography screening.
Very special divisors on 4-gonal real algebraic curves

Given a real curve, we study special linear systems called ''very special'' for which the dimension does not satisfy a Clifford type inequality. We classify all these very special linear systems when the gonality of the curve is small.
Treatment with antipsychotics and the risk of diabetes in clinical practice.

BACKGROUND
Treatment with antipsychotics seems to increase the risk of developing diabetes but the association is poorly characterised in clinical practice.


AIMS
To investigate and characterise the incidence of diabetes for people treated with antipsychotic medication in clinical practice.


METHOD
The study used the linkage of registers of all prescribed antipsychotics, antidiabetics and diagnoses of diabetes in Denmark during a period from 1996 to 2005 and identified all people treated with antipsychotics in Denmark and a random sample of about 30% of the total Danish population.


RESULTS
In total, 345,937 patients who purchased antipsychotics and 1,426,488 unexposed individuals were included in the study. Among the total population, 50,379 individuals subsequently developed incident diabetes. Compared with unexposed individuals, treatment with first- (rate ratio, RR = 1.53, 95% CI 1.49-1.56) as well as second-generation (RR = 1.32, 95% CI 1.22-1.42) antipsychotics was associated with increased risk of subsequent incident diabetes. The rate of incident diabetes varied substantially between individual second-generation antipsychotic drugs (olanzapine, risperidone clozapine compared with unexposed individuals: low to moderate rate ratio between 1.17 and 1.57; ziprasidone and sertindol: two or more times increased rate ratio; amisulpride, quetiapine and aripiprazole: no significantly increased rate ratio). For both first- and second-generation antipsychotics, the incidence of diabetes increased with the number of prescriptions. Additionally, the incidence of diabetes increased with the number of combined antipsychotic drugs.


CONCLUSIONS
In clinical practice, treatment with first- and second-generation antipsychotics is associated with an increased risk of developing incident diabetes with large differences between individual drugs. The risk increases with the duration of treatment and with polypharmacy of antipsychotic drugs.
SecA, a remarkable nanomachine

Biological cells harbor a variety of molecular machines that carry out mechanical work at the nanoscale. One of these nanomachines is the bacterial motor protein SecA which translocates secretory proteins through the protein-conducting membrane channel SecYEG. SecA converts chemically stored energy in the form of ATP into a mechanical force to drive polypeptide transport through SecYEG and across the cytoplasmic membrane. In order to accommodate a translocating polypeptide chain and to release transmembrane segments of membrane proteins into the lipid bilayer, SecYEG needs to open its central channel and the lateral gate. Recent crystal structures provide a detailed insight into the rearrangements required for channel opening. Here, we review our current understanding of the mode of operation of the SecA motor protein in concert with the dynamic SecYEG channel. We conclude with a new model for SecA-mediated protein translocation that unifies previous conflicting data.
Collaborative filtering meets next check-in location prediction

With the increasing popularity of Location-based Social Networks, a vast amount of location check-ins have been accumulated. Though location prediction in terms of check-ins has been recently studied, the phenomena that users often check in novel locations has not been addressed. To this end, in this paper, we leveraged collaborative filtering techniques for check-in location prediction and proposed a short- and long-term preference model. We extensively evaluated it on two large-scale check-in datasets from Gowalla and Dianping with 6M and 1M check-ins, respectively, and showed that the proposed model can outperform the competing baselines.
Effects of a 6-month exercise program on patients with multiple sclerosis: a randomized study.

OBJECTIVE
To improve walking and other aspects of physical function with a progressive 6-month exercise program in patients with multiple sclerosis (MS).


METHODS
MS patients with mild to moderate disability (Expanded Disability Status Scale scores 1.0 to 5.5) were randomly assigned to an exercise or control group. The intervention consisted of strength and aerobic training initiated during 3-week inpatient rehabilitation and continued for 23 weeks at home. The groups were evaluated at baseline and at 6 months. The primary outcome was walking speed, measured by 7.62 m and 500 m walk tests. Secondary outcomes included lower extremity strength, upper extremity endurance and dexterity, peak oxygen uptake, and static balance. An intention-to-treat analysis was used.


RESULTS
Ninety-one (96%) of the 95 patients entering the study completed it. Change between groups was significant in the 7.62 m (p = 0.04) and 500 m walk tests (p = 0.01). In the 7.62 m walk test, 22% of the exercising patients showed clinically meaningful improvements. The exercise group also showed increased upper extremity endurance as compared to controls. No other noteworthy exercise-induced changes were observed. Exercise adherence varied considerably among the exercisers.


CONCLUSIONS
Walking speed improved in this randomized study. The results confirm that exercise is safe for multiple sclerosis patients and should be recommended for those with mild to moderate disability.
The Xbox recommender system

A recent addition to Microsoft's Xbox Live Marketplace is a recommender system which allows users to explore both movies and games in a personalized context. The system largely relies on implicit feedback, and runs on a large scale, serving tens of millions of daily users. We describe the system design, and review the core recommendation algorithm.
Geriatric education in the health professions: are we making progress?

PURPOSE
Relative to the overall population, older adults consume a disproportionally large percentage of health care resources. Despite advocacy and efforts initiated more than 30 years ago, the number of providers with specialized training in geriatrics is still not commensurate with the growing population of older adults. This contribution provides a contemporary update on the status of geriatric education and explores how geriatric coverage is valued, how geriatric competence is defined, and how students are evaluated for geriatric competencies.


DESIGN AND METHODS
Semi-structured interviews were conducted with curriculum representatives from 7 health profession disciplines in a case study of one academic medical center.


FINDINGS
Geriatric training varies across health professions' disciplines. Although participants recognized the unique needs of older patients and valued geriatric coverage, they identified shortage of time in packed curricula, lack of geriatrics-trained educators, absence of financial incentive, and low student demand (resulting from limited exposure to older adults and gerontological stereotyping) as barriers to improving geriatric training.


IMPLICATIONS
Progress in including geriatric training within curricula across the health professions continues to lag behind need as a result of the continuing presence of barriers identified several decades ago. There remains an urgent need for institutional commitment to enhance geriatric education as a component of health professions curricula.
How to Write a Better Thesis

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Movie genre classification with Convolutional Neural Networks

Automatic pattern recognition from videos is a high-complexity task, and well-established Machine Learning algorithms have difficulties in handling it in an efficient and effective fashion. Convolutional Neural Networks are the state-of-the-art method for supervised image classification, borrowing concepts from image processing in order to ensure some degree of scale and position invariance. They are capable of detecting primary features, which are then combined by subsequent layers of the CNN architecture, resulting in the detection of higher-order complex and relevant novel features. Considering that a video is a set of ordered images in time, we propose in this paper to explore CNNs in the context of movie trailers genre classification. Our contributions are twofold. First, we have developed a novel movie trailers dataset with more than 3500 trailers whose genres are known, and we make it publicly available for the interested reader. Second, we detail a novel classification method that encapsulates a CNN architecture to perform movie trailer genre classification, namely CNN-MoTion, and we compare it with state-of-the-art feature extraction techniques for movie classification such as Gist, CENTRIST, w-CENTRIST, and low-level feature extraction. Results show that our novel method significantly outperforms the current state-of-the-art approaches.
A Review of Exploitation of And-Parallelism and Combined And/Or-Parallelism in Logic Programs

Logic programs provide many opportunities for parallel execution. Among different forms of parallelism found in logic programs, AND-parallelism and OR-parallelism have shown to be most effective in speeding up the execution of logic programs. This paper offers a review of major activities in exploiting AND-parallelism and combined AND/OR-parallelism. Full version of this paper (23 pages) can be retrieved through anonymous ftp from ftp.mpce.mq.edu.au.
Effect of two different neuroprotection systems on microembolization during carotid artery stenting.

OBJECTIVES
This study sought to compare the efficacy of two different cerebral protection systems for the prevention of embolization during carotid artery stenting (CAS) using a transcranial Doppler (TCD) monitoring with the detection of microembolic signals (MES).


BACKGROUND
Despite the introduction of cerebral protection systems, neurologic complications during CAS cannot completely be prevented. Transcranial Doppler and detection of MES may aid in assessing the efficacy of different neuroprotection systems.


METHODS
A total of 42 patients with internal carotid artery stenoses were treated by CAS using either a filter (E.P.I. FilterWire, Boston Scientific Corp., Santa Clara, California) (n = 21) or a proximal endovascular clamping device (MO.MA system, Invatec s.r.l., Roncadelle, Italy) (n = 21). Microembolic signal counts were compared during five phases: placement of the protection device, passage of the stenosis, stent deployment, balloon dilation, and retrieval of the protection device.


RESULTS
There were no significant differences in clinical or angiographic outcomes between the two groups. Compared to the filter device, the MO.MA system significantly reduced MES counts during the procedural phases of wire passage of the stenosis, stent deployment, balloon dilation, and in total (MES counts for the filter device were 25 +/- 22, 73 +/- 49, 70 +/- 31, and 196 +/- 84 during the three phases and in total, MES counts for the MO.MA system were 1.8 +/- 3.2, 11 +/- 19, 12 +/- 21, and 57 +/- 41, respectively; p < 0.0001).


CONCLUSIONS
In comparison to a filter device the MO.MA system led to significantly lower MES counts during CAS. The detection of MES by TCD may facilitate the evaluation and comparison of different neuroprotection systems.