Miracle-dz/UniFAR-FTUs huggingface dataset:
Importance of anaplastic lymphoma kinase gene re-arrangements on non-small cell lung cancer

Ayşe Feyda Nursal, Hitit Üniversitesi Tıp Fakültesi, Tıbbi Genetik Anabilim Dalı, Çorum Türkiye, Tel. 0364 222 11 00 Email. feydanursal@hotmail.com Geliş Tarihi: 23.05. 2015 • Kabul Tarihi: 22.05. 2017 ABSTRACT Despite all improvements in treatment modalities, lung cancer is the leading cause of death related to cancers worldwide. Environmental, occupational and genetic factors, as well as smoking play role in the etiology. Lung cancers are generally divided into two main histologic categories: small cell lung cancer (SCLC) and non-small cell lung cancer (NSCLC). Several gene aberrations are detected in NSCLC, which constitute approximately 85% of all lung cancers. The Anaplastic lymphoma kinase (ALK) gene is a member of insulin receptor tyrosine kinase super family. ALK gene involves with translocation those results in formation of fusion protein in various malignancies such as lung cancer and lymphoma. In this article, latest literature regarding re-arrangement of ALK seen in NSCLC will be reviewed.
The Cholinergic Drug Galantamine Alleviates Oxidative Stress Alongside Anti-inflammatory and Cardio-Metabolic Effects in Subjects With the Metabolic Syndrome in a Randomized Trial

Background: The metabolic syndrome (MetS) is an obesity-associated disorder of pandemic proportions and limited treatment options. Oxidative stress, low-grade inflammation and altered neural autonomic regulation, are important components and drivers of pathogenesis. Galantamine, an acetylcholinesterase inhibitor and a cholinergic drug that is clinically-approved (for Alzheimer's disease) has been implicated in neural cholinergic regulation of inflammation in several conditions characterized with immune and metabolic derangements. Here we examined the effects of galantamine on oxidative stress in parallel with inflammatory and cardio-metabolic parameters in subjects with MetS. Trial Design and Methods: The effects of galantamine treatment, 8 mg daily for 4 weeks or placebo, followed by 16 mg daily for 8 weeks or placebo were studied in randomly assigned subjects with MetS (n = 22 per group) of both genders. Oxidative stress, including superoxide dismutase (SOD), catalase (CAT), and glutathione peroxidase activities, lipid and protein peroxidation, and nitrite levels were analyzed before and at the end of the treatment. In addition, plasma cytokine and adipokine levels, insulin resistance (HOMA-IR) and other relevant cardio-metabolic indices were analyzed. Autonomic regulation was also examined by heart rate variability (HRV) before treatment, and at every 4 weeks of treatment. Results: Galantamine treatment significantly increased antioxidant enzyme activities, including SOD [+1.65 USOD/mg protein, [95% CI 0.39–2.92], P = 0.004] and CAT [+0.93 nmol/mg, [95% CI 0.34–1.51], P = 0.01], decreased lipid peroxidation [thiobarbituric acid reactive substances [log scale 0.72 pmol/mg, [95% CI 0.46–1.07], P = 0.05], and systemic nitrite levels [log scale 0.83 μmol/mg protein, [95% CI 0.57–1.20], P = 0.04] compared with placebo. In addition, galantamine significantly alleviated the inflammatory state and insulin resistance, and decreased the low frequency/high frequency ratio of HRV, following 8 and 12 weeks of drug treatment. Conclusion: Low-dose galantamine alleviates oxidative stress, alongside beneficial anti-inflammatory, and metabolic effects, and modulates neural autonomic regulation in subjects with MetS. These findings are of considerable interest for further studies with the cholinergic drug galantamine to ameliorate MetS.
Family matters in racial logics: Tracing intimacies, inequalities, and ideologies

Abstract This article seeks to advance our understanding of how intimate relations and racial logics are co-constituted and matter – subjectively, culturally, materially, and politically – in our colonial present of economic inequalities, nationalist populisms, anti-migrant discourses and xenophobic hostilities. Addressing these crisis conditions is urgent, yet critical interventions indicate that prevailing accounts inadequately address the scale, complexity, and fluidity of racisms operating today. This article proposes to think racial logics ‘otherwise’ by drawing on interdisciplinary scholarship and intersectional analytics to produce a genealogy of state/nation formation processes, imperial encounters, and legitimating ideologies that illuminates how ‘intimacy builds worlds’. 1 A deep history of political centralisation reveals that regulation of intimate, familial relations is a constitutive feature of successful state-making and crucial for understanding how modernity's ‘race difference’ is produced and how the racialisation of ‘Other’ (‘non-European’, undesirable) sexual/familial practices figures in contemporary crises. Locating intimate relations – ‘family’ – in (birthright) citizenship, immigration regimes, and political-economic frames helps clarify the amplification of global inequalities and the power of stigmatisations to fuel nationalist attachments and anti-migrant hostilities. Foregrounding intimacy and integrating typically disparate lines of inquiry advances our analyses of today's often opaque yet intense racisms and their globally problematic effects.
Penerapan Algoritma C4.5 untuk Klasifikasi Data Rekam Medis berdasarkan International Classification Diseases (ICD-10)

Abstract The medical record data is the patient's current record of medical records, the medical record data only being data stacked and not traced to generate useful knowledge for the hospital. This study can process the medical record data to classify the disease that occurs in sleeping sickness based on ICD-10. The method used in this research is C4.5 algorithm method by using attribute of international disease code as attribute of destination label as many as 21 international disease group, that is: A00-B99 up to Z00-Z99. This study yields a decision of the value code, C4.5 code can represent as many as 14 attribute values â€‹â€‹of disease code objectives and data percentage that read more than 66%. The conclusion of this research is C4.5 algorithm help classify international disease code based on ICD-10 and decision tree making which can give information of any disease that often happened at hospital Keywords: data mining, classification, C4.5, medical records, ICD-10
A profile of vocational high school students’ adversity quotient towards mathematics

This study aims to discover the adversity quotient of Vocational High School students towards mathematics, which is divided into three categories namely climber (high), camper (average) and quitter (low). Adversity quotient is influenced by four dimensions including control, ownership, reach and endurance. This survey study had 132 respondents taken from the tenth grade of Vocational High School students, specifically from four departments (office administration, accounting, multimedia, and management). There were 60 items in the questionnaire used to collect the data about the students’ adversity quotient. The questionnaire was arranged using Likert scale which had reliability score of 0.92. The result showed that 27% of students were in climber category, 72% of students were in the camper category and 1% of students were in the quitter category. Based on the percentages, adversity quotient of Vocational High School students towards mathematics is quite good, but improvement is necessarry because learning mathematics requires higher adversity quotient.
Statistics of Reconnecting Current Sheets in the Transition Region of Earth's Bow Shock

We have conducted a comprehensive survey of burst mode observations of Earth's bow shock by the Magnetospheric Multiscale mission to identify and characterize current sheets associated with collisionless shocks, with a focus on those containing fast electron outflows, a likely signature of magnetic reconnection. The survey demonstrates that these thin current sheets are observed within the transition region of approximately 40% of shocks within the burst mode data set of Magnetospheric Multiscale. With only small apparent bias toward quasi‐parallel shock orientations and high Alfvén Mach numbers, the results suggest that reconnection at shocks is a universal process, occurring across all shock orientations and Mach numbers. On examining the distributions of current sheet properties, we find no correlation between distance from the shock, sheet width, or electron jet speed, though the relationship between electron and ion jet speed supports expectations of electron‐only reconnection in the region. Furthermore, we find that robust heating statistics are not separable from background fluctuations, and thus, the primary consequence of reconnection at shocks is in relaxing the topology of the disordered magnetic field in the transition region.
A Parallel Icelandic Dependency Treebank: Creation, Annotation and Evaluation

This thesis describes the creation, annotation and evaluation of an Icelandic dependency treebank. This treebank holds syntactic annotation that is necessary for parser development and grammar research. Syntactic parsers are useful in various types of information technology applications and treebanks are the essential training data for data–driven natural language parsers. Parallel corpora have been mainly used for training machine translation systems but can also be used for creating dictionaries and ontologies, and multilingual and cross–lingual document classiﬁcation. This ﬁrst Icelandic parallel dependency treebank presented here is aligned with 19 other languages and is based on the Universal Dependencies (UD) annotation scheme. Studies on cross–lingual modeling have been growing constantly since the ﬁrst UD treebanks were published and it could be a beneﬁcial step for less-resource languages like Icelandic to become a part of this international research. Creating a treebank can be an extremely laborious task and it is therefore important to utilize accessible methods and data applicable for research. Here the method of preprocessing syntactic relations using delexicalized parsing was explored. The description of dependency grammar for Icelandic according to the UD annotation scheme is documented in appendix A and the Icelandic parallel UD corpus, Icelandic PUD, will be published as part of the UD project, version 2.6.
Enhancing Researchers’ Performance by Building Commitment to Organizational Results

Overview: Performance measurement systems are a fundamental concern for R&D managers and executives. The main challenge is ensuring that R&D managers can match organizational key performance indicators with researchers’ interests. This article details a new approach to measuring the fuzzy parameter of researchers’ performance. It presents a case study on the implementation of a rating system in a research technology organization and reports the results the system achieved, including researcher satisfaction. We describe which researcher skills were selected for rating, the evaluation criteria developed, and the data collection system that supported the rating process. The rating system was developed to be objective and acceptable to researchers, and to support achievement of desired corporate results. We present lessons learned from implementation over four years.
Growth, Biomass and Carbon Stocks in Forest Cover Planted in an Area of Bauxite Mining in Rehabilitation

ABSTRACT Forest cover in areas degraded by mining is an alternative way of mitigating CO2 concentrations in the atmosphere by fixing C in tree biomass. This study evaluated the growth and C stocks of forest cover in an area of bauxite mining with four sources of fertilizer. Height (Ht), diameter at ground level (DGL), and diameter at breast height (DBH) were determined in Anadenanthera peregrina (Ap), clonal Eucalyptus (Euc), and a mixed plantation of 16 native forest species (Nat) at [. ]
Investigation of the Interaction of Chrysene and Bovine Serum Albumin by Multispectroscopic Method

Abstract The interaction mechanisms of chrysene with bovine serum albumin (BSA) were studied by multispectroscopy and molecular docking method. The quenching mechanism, binding constants, thermodynamic parameters and binding force of chrysene with BSA were investigated. The results indicated that the fluorescence of BSA was quenched by chrysene through a static quenching procedure. The binding constants K b and number of binding sites n were 3.97 × 104 M–1 and 1.0 at 298 K, respectively, which indicated that the binding of chrysene and BSA was moderate and there was one main binding site in BSA for chrysene. The thermodynamic parameters including entropy change (ΔH) and enthalpy change (ΔS) were 40.2 kJ mol–1 and 223.0 J mol–1 K–1, respectively, which revealed that the main binding force of chrysene to BSA was hydrophobic interaction. This result was in accordance with the results from the molecular docking. The binding distance r was 2.60 nm, which suggested that the energy transfer from BSA to chrysene occurred with high possibility. The results of synchronous fluorescence spectra, three-dimensional fluorescence spectra and circular dichroism spectra indicated that the binding of chrysene to BSA induced conformation changes of BSA.
GPS‐level accurate camera localization with HorizonNet

This paper investigates the problem of position estimation of unmanned surface vessels (USVs) operating in coastal areas or in the archipelago. We propose a position estimation method where the horizon line is extracted in a 360° panoramic image around the USV. We design a convolutional neural network (CNN) architecture to determine an approximate horizon line in the image and implicitly determine the camera orientation (the pitch and roll angles). The panoramic image is warped to compensate for the camera orientation and to generate an image from an approximately level camera. A second CNN architecture is designed to extract the pixelwise horizon line in the warped image. The extracted horizon line is correlated with digital elevation model data in the Fourier domain using a minimum output sum of squared error correlation filter. Finally, we determine the location of the maximum correlation score over the search area to estimate the position of the USV. Comprehensive experiments are performed in field trials conducted over 3 days in the archipelago. Our approach provides excellent results by achieving robust position estimates with global positioning system (GPS)‐level accuracy in previously unvisited test areas.
Global Concavity and Optimization in a Class of Dynamic Discrete Choice Models

Discrete choice models with unobserved heterogeneity are commonly used Econometric models for dynamic Economic behavior which have been adopted in practice to predict behavior of individuals and firms from schooling and job choices to strategic decisions in market competition. These models feature optimizing agents who choose among a finite set of options in a sequence of periods and receive choice-specific payoffs that depend on both variables that are observed by the agent and recorded in the data and variables that are only observed by the agent but not recorded in the data. Existing work in Econometrics assumes that optimizing agents are fully rational and requires finding a functional fixed point to find the optimal policy. We show that in an important class of discrete choice models the value function is globally concave in the policy. That means that simple algorithms that do not require fixed point computation, such as the policy gradient algorithm, globally converge to the optimal policy. This finding can both be used to relax behavioral assumption regarding the optimizing agents and to facilitate Econometric analysis of dynamic behavior. In particular, we demonstrate significant computational advantages in using a simple implementation policy gradient algorithm over existing “nested fixed point” algorithms used in Econometrics. Equal contribution Department of Computer Science, Northwestern University, Evanston, IL, USA Department of Economics, University of Virginia, Charlottesville, VA, USA. Correspondence to: Y.F. <yidingfeng2021@u.northwestern. edu>, E.K. <eak5rf@virginia.edu>, D.N. <denis@virginia.edu>. Proceedings of the 37 th International Conference on Machine Learning, Vienna, Austria, PMLR 119, 2020. Copyright 2020 by the author(s).
The relationship between Mediterranean built environment and outdoor physical activity: evidence from GPS and accelerometer data among young adults in Barcelona

ABSTRACT Having identified a set of geographic-based considerations, this study aims to analyse physical activity (PA) engagement and its relationship with its hosting environment in a Mediterranean metropolis. This is conducted based on GPS and accelerometer data from a sample of young adults living in different neighbourhood types. The results of the study show how outdoor moderate to vigorous physical activity (MVPA) in Barcelona mainly takes place on the streets. In accordance with previous research, green areas are also associated with PA, yet other urban spaces such as the street emerge as relevant while presenting significant intra-metropolitan differences. The main implication of this study is that geographically contextualised interpretations of the relationship between the built environment and PA may inform both future research and also targeted policies aimed at promoting regular outdoor physical activity.
Sound Events Recognition and Retrieval Using Multi-Convolutional-Channel Sparse Coding Convolutional Neural Networks

This article proposes two novel deep convolutional neural networks (CNN), which are called the sparse coding convolutional neural network (SC-CNN) and the multi-convolutional-channel SC-CNN (MSC-CNN), to address the sound event recognition and retrieval problem. Unlike the general framework of a CNN, in which the feature learning process is performed hierarchically, the proposed framework models the whole memorization process in the human brain, including encoding, storage, and recollection. In particular, the MSC-CNN is designed to recognize multiple sound events that occur simultaneously. The experimental results indicate that the proposed SC-CNN and MSC-CNN outperforms the state-of-the-art systems in sound event recognition and retrieval.
Assessment of Biomarkers for Antioxidant Defense in the Equine Erythrocytes After Incubation with Begonia Psilophylla Irmsch. Leaf Extract

In this study, the investigation of the effect of Begonia psilophylla Irmsch. leaf extract on the antioxidant defenses [catalase (CAT), glutathione reductase (GR), glutathione peroxidase (GPx) activity, ceruloplasmin level, and total antioxidant capacity (TAC)] in the equine erythrocyte suspension and plasma was undertaken. In relation to blood cells, circulating erythrocytes are regularly exposed to stress conditions and are especially vulnerable as they have no membrane repair mechanism or regenerative capacity. Freshly sampled B. psilophylla leaves were washed, weighed, crushed, and homogenized in 0.1 M phosphate buffer (pH 7.4) (in ratio 1 : 19, w/w) at room temperature. The extract was then filtered and used for analysis. A volume of 0.1 ml of the plant extract was added to 1.9 ml of clean equine erythrocytes or 1.9 ml of plasma. For positive control, the 0.1 M phosphate buffer was used. After incubation, the mixture at 37 °C for 60 min it was centrifuged at 3,000 rpm for 5 min with continuous stirring. Erythrocytes and plasma aliquots were used in the study. The presence of the extract during incubation of erythrocyte suspension and plasma caused a non-considerable increase of catalase and glutathione peroxidase activity, while the activity of glutathione reductase was not changed compared to control samples. At the same time, B. psilophylla extract caused a statistically significant decrease in ceruloplasmin level by 47.6% (p <0.05). The total antioxidant capacity in the equine erythrocytes’ suspension and plasma after in vitro incubation with B. psilophylla leaf extract was non-significantly changed. Based on the collected data, positive trends were observed in the regressions of GPx activity against catalase activity (r = 0.809, p = 0.0005), and ceruloplasmin level (r = 0.553, p = 0.017) for in the equine erythrocytes’ suspension after in vitro incubation with B. psilophylla leaf extract. Therefore, our study suggests that crude extract obtained from B. psilophylla leaves has an effective antioxidant and anti-inflammatory effect after the treatment of equine erythrocytes. It could be interpreted that B. psilophylla extract showed the anti-inflammation effect expressed as decreasing the ceruloplasmin level in the plasma. The pronounced effect of B. psilophylla leaf extract, probably, could be attributed to its secondary metabolites content. However, the components responsible for the antioxidative activity of B. psilophylla extract is currently unclear. Therefore, further investigations need
On Twitter Bots Behaving Badly: A Manual and Automated Analysis of Python Code Patterns on GitHub

Bots, i.e., algorithmically driven entities that behave like humans in on-line communications, are increasingly infiltrating social conversations on the Web. If not properly prevented, this presence of bots may cause harm to the humans they interact with. This article aims to understand which types of abuse may lead to harm and whether these can be considered intentional or not. We manually review a dataset of 60 Twitter bot code repositories on GitHub, derive a set of potentially abusive actions, characterize them using a taxonomy of abstract code patterns, and assess the potential abusiveness of the patterns. The article then describes the design and implementation of a code pattern recognizer and uses the pattern recognizer to automatically analyze a dataset of 786 Python bot code repositories. The study does not only reveal the existence of 28 communication-specific code patterns - which could be used to assess the harmfulness of bot code - but also their consistent presence throughout all studied repositories.