Miracle-dz/UniFAR-FTUs huggingface dataset:
Las 1 interacts with Grc 3 polynucleotide kinase and is required for ribosome synthesis in Saccharomyces cerevisiae

Ribosome biogenesis is a multi-step process that couples cell growth with cell proliferation. Although several large-scale analysis of preribosomal particles have identified numerous trans-acting factors involved in this process, many proteins involved in pre-rRNA processing and ribosomal subunit maturation have yet to be identified. Las1 was originally identified in Saccharomyces cerevisiae as a protein involved in cell morphogenesis. We previously demonstrated that the human homolog, Las1L, is required for efficient ITS2 rRNA processing and synthesis of the 60S ribosomal subunit. Here, we report that the functions of Las1 in ribosome biogenesis are also conserved in S. cerevisiae. Depletion of Las1 led to the accumulation of both the 27S and 7S rRNA intermediates and impaired the synthesis of the 60S subunit. We show that Las1 co-precipitates mainly with the 27S rRNA and associates with an Nsa1 and Rix1-containing pre-60S particle. We further identify Grc3 as a major Las1-interacting protein. We demonstrate that the kinase activity of Grc3 is required for efficient pre-rRNA processing and that depletion of Grc3 leads to rRNA processing defects similar to the ones observed in Las1-depleted cells. We propose that Las1 and Grc3 function together in a conserved mechanism to modulate rRNA processing and eukaryotic ribosome biogenesis.
Lung Injury : Mechanisms, Pathophysiology, and Therapy

Introduction. Principles of Lung Development, Growth, and Repair. Acute Lung Injury: Etiologies and Basic Features. Cellular and Animal Models of Lung. Transgenic Models of Lung Injury and Repair. Inhalation Toxicology: Methods and Models. Inflammatory Cells and Mediators in Acute Lung Injury. Mechanisms of Chronic Lung Injury and Fibrosis. Roles of Oxidants and Antioxidants in Lung. Vascular Dysfunction in Lung Injury. Surfactant Dysfunction in Lung Injury. Ventilation Therapies and Strategies for Lung Injury. Anti-Inflammatory Therapies for Lung Injury. Surfactant-Based Therapies for Lung Injury.
Author's response to reviews Title: Physical activity and clustered cardiovascular disease risk factors in young children: a cross-sectional study (The IDEFICS study) Authors:

David Jimenez-Pavon (davidj@unizar.es) Kenn Konstabel (kenn.konstabel@tai.ee) Patrick Bergman (patrick.bergman@lnu.se) Wolfgang Ahrens (ahrens@bips.uni-bremen.de) Hermann Pohlabeln (pohlabel@bips.uni-bremen.de) Charalampos Hadjigeorgiou (chadjigeo@mtnmail.com.cy) Alfonso Siani (asiani@isa.cnr.it) Licia Iacoviello (licia.iacoviello@moli-sani.org) Dénes Molnár (denes.molnar@aok.pte.hu) Stefaan De Henauw (Stefaan.DeHenauw@UGent.be) Yannis Pitsiladis (Yannis.Pitsiladis@glasgow.ac.uk) Luis A Moreno (lmoreno@unizar.es)
Does Negotiation Matter for Business Relationship ? A Study of Credible Information Disclosure and Perceived Fairness

Negotiations tend to influence long-term business relationships. This paper investigates the role of perceived fairness of the exchange in forming these relationships. The impacts of fairness have been under-investigated in business exchanges. The paper proposes a research model that has perceived fairness at its core. Experiments were conducted in two multi-bilateral negotiation settings with different information disclosure strategies. The results suggest that the decision to reveal the best offer to participants affects perceived fairness. Furthermore, the perceived fairness has a positive impact on business relationships. The findings suggest important implications for the strategic role of information revelation by businesses.
Dynamics of Epidemic Spreading in Complex Networks

Several mathematical models, mostly based on graph theory, have been developed over the past decades to predict and explain the behavior within complex interconnected dynamical systems. Here we present an introduction to the current theoretical models on epidemic spreading mechanisms in complex networks. We show using several mathematical models how the topology of the network determines the behavior of the epidemic. An analysis of the strengths and weaknesses of each model presented is also included. The study of the patterns emerging from epidemic spreading in complex networks can not only help prevent and contain the spread of computer viruses or biological epidemics, but may also help understand similar phenomena in other areas such as in social media.
Detection of RBM 15-MKL 1 Fusion Was Useful for Diagnosis and Monitoring of Minimal Residual Disease in Infant Acute Megakaryoblastic Leukemia

Departments of aPediatrics, fPediatric Hematology/Oncology, dDivision of Medical Support, Okayama University Hospital, Okayama 700-8558, Japan, bDepartment of Pediatrics, Hiroshima Red Cross Hospital & Atomic-bomb Survivors Hospital, Hiroshima 730-8619, Japan, cDepartment of Pharmacology, Meijo University, Nagoya 468-8503, Japan, eDepartment of Laboratory Medicine, National Hospital Organization Okayama Medical Center, Okayama 701-1154, Japan
EMPress :

Practical wearable gesture tracking requires that sensors align with existing ergonomic device forms. We show that combining EMG and pressure data sensed only at the wrist can support accurate classification of hand gestures. A pilot study with unintended EMG electrode pressure variability led to exploration of the approach in greater depth. The EMPress technique senses both finger movements and rotations around the wrist and forearm, covering a wide range of gestures, with an overall 10-fold cross validation classification accuracy of 96%. We show that EMG is especially suited to sensing finger movements, that pressure is suited to sensing wrist and forearm rotations, and their combination is significantly more accurate for a range of gestures than either technique alone. The technique is well suited to existing wearable device forms such as smart watches that are already mounted on the wrist. Author
Vitamin D Deficiency and Gestational Diabetes Mellitus Study on skin colour variation among controls group

: We examined the association of second-trimester maternal plasma 25-hydroxyvitamin D (25[OH]D) during pregnancy with gestational diabetes mellitus (GDM) and also Studied various socio-demographic factors associated with Vitamin D deficiency among cases and controls. Methodology adopted was a case control study where 150 patients were included, 75 each in study group and control group. Observational studies provide conflicting evidence as to whether low serum 25-hydroxyvitmain D (25 (OH)D) levels are associated with GDM. Our study showed an inverse relationship between serum vitamin-D levels and Gestational diabetes mellitus and how diverse socioeconomic factors influenced the serum vitamin-D levels among antenatal women.
Inhibition of fatty acid synthase with C 75 decreases organ injury after hemorrhagic shock

Background—Hemorrhagic shock is the primary cause of morbidity and mortality in the intensive care units in patients under the age of 35. Several organs including the lungs are seriously affected due to the hemorrhagic shock and inadequate resuscitation. Excess free fatty acids have shown to trigger inflammation in various disease conditions. C75 is a small compound that inhibits fatty acid synthase, a key enzyme in the control of fatty acid metabolism that also stimulates fatty acid oxidation. We hypothesized that C75 treatment would be protective against hemorrhagic shock. Methods—Adult, male, Sprague-Dawley rats were cannulated with a femoral artery catheter and subjected to controlled bleeding. Blood was shed to maintain a mean arterial pressure of 30 mm Hg for 90 min, then resuscitated over 30 min with a crystalloid volume equal to twice the volume of shed blood. Fifteen minutes into the 30 min resuscitation, the rats received either intravenous infusion of C75 (1 mg/kg BW) or vehicle (20% DMSO). Blood and tissue samples were collected 6 h after resuscitation (i.e., 7.5 h after hemorrhage) for analysis. Results—After hemorrhage and resuscitation, C75 treatment decreased the increase in serum free fatty acids by 48%, restored adenosine triphosphate (ATP) levels, and stimulated carnitine palmitoyl transferase-1 (CPT-1) activity. Administration of C75 decreased serum levels of markers of injury (AST, lactate, and LDH) by 38%, 32%, and 78%, respectively. Serum creatinine and blood urea nitrogen (BUN) were also significantly decreased by 38% and 40%, respectively. These changes correlated with decreases in neutrophil infiltration in the lung, evidenced by decreases in Gr-1-stained cells and myeloperoxidase activity and improved lung histology. Finally, administration of C75 decreased pulmonary mRNA levels of COX-2 and IL-6 by 87% and 65%, respectively. Please address correspondence, proofs, and reprint requests to: Ping Wang, MD, Professor and Vice Chairman for Research, Department of Surgery, Hofstra North Shore-LIJ School of Medicine, Head, Center for Translational Research, The Feinstein Institute for Medical Research, 350 Community Drive, Manhasset, NY 11030, Tel: (516) 562-3411, Fax: (516) 562-2396, pwang@nshs.edu. Publisher's Disclaimer: This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final citable form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. HHS Public Access Author manuscript Surgery. Author manuscript; available in PMC 2017 February 01. Published in final edited form as: Surgery. 2016 February ; 159(2): 570–579. doi:10.1016/j.surg. 2015.07. 036. A uhor M anscript
Partitioning the effects of species loss on community variability using multi-level selection theory

Th e temporal variability of ecological communities may depend on species richness and composition due to a variety of statistical and ecological mechanisms. However, ecologists currently lack a general, unifi ed theoretical framework within which to compare the eff ects of these mechanisms. Developing such a framework is diffi cult because community variability depends not just on how species vary, but also how they covary, making it unclear how to isolate the contributions of individual species to community variability. Here I develop such a theoretical framework using the multi-level Price equation, originally developed in evolutionary biology to partition the eff ects of group selection and individual selection. I show how the variability of a community can be related to the properties of the individual species comprising it, just as the properties of an evolving group can be related to the properties of the individual organisms comprising it. I show that eff ects of species loss on community variability can be partitioned into eff ects of species richness (random loss of species), eff ects of species composition (non-random loss of species with respect to their variances and covariances), and eff ects of context dependence (post-loss changes in species ’ variances and covariances). I illustrate the application of this framework using data from the Biodiversity II experiment, and show that it leads to new conceptual and empirical insights. For instance, eff ects of species richness on community variability necessarily occur, but often are swamped by other eff ects, particularly context dependence.
Product Step 2 Roll Back Step 0 : Static Visualization Step 1 Interaction

Interactive data visualizations have emerged as a prominent way to bring data exploration and analysis capabilities to both technical and non-technical users. Despite their ubiquity and importance across applications, multiple designand performance-related challenges lurk beneath the visualization creation process. To meet these challenges, application designers either use visualization systems (e.g., Endeca, Tableau, Splunk) that are tailored to domainspecific analyses, or manually design, implement and optimize their own solutions. In this paper, we describe the status of our approach towards an end-to-end relational approach in our data visualization management system (DVMS). We introduce DeVIL, a SQL-like language to express static as well as interactive visualizations as database views that combine user inputs modeled as event streams and database relations, and show that it can express a range of interaction techniques across several taxonomies of interactions. We then describe how this relational lens enables a number of new functionalities and system design directions and highlight several of these directions. These include (a) the use of provenance queries to express and optimize visual interactions, (b) the application of concurrency control ideas to visualization interactions, (c) a streaming framework to improve near-interactive visualizations, and (d) techniques to synthesize interactive interfaces tailored to end-users.
UvA-DARE ( Digital Academic Repository ) Ensemble Learning for Multi-Source Neural Machine Translation

In this paper we describe and evaluate methods to perform ensemble prediction in neural machine translation (NMT). We compare two methods of ensemble set induction: sampling parameter initializations for an NMT system, which is a relatively established method in NMT (Sutskever et al., 2014), and NMT systems translating from different source languages into the same target language, i.e., multi-source ensembles, a method recently introduced by Firat et al. (2016). We are motivated by the observation that for different language pairs systems make different types of mistakes. We propose several methods with different degrees of parameterization to combine individual predictions of NMT systems so that they mutually compensate for each other’s mistakes and improve overall performance. We find that the biggest improvements can be obtained from a context-dependent weighting scheme for multi-source ensembles. This result offers stronger support for the linguistic motivation of using multi-source ensembles than previous approaches. Evaluation is carried out for German and French into English translation. The best multi-source ensemble method achieves an improvement of up to 2.2 BLEU points over the strongest singlesource ensemble baseline, and a 2 BLEU improvement over a multi-source ensemble baseline.
Monophyletic groups within ‘higher land birds’ – comparison of morphological and molecular data

The relationships within the ‘higher land birds’ and putatively related taxa are analysed in a study using 89 morphological characters and DNA sequences of three nuclear, protein-coding genes, c-myc, RAG-1, and myoglobin intron II. Separate analyses of the different data sets and a ‘total evidence’ analysis in which the data sets of the morphological and molecular analyses were combined are compared. All three analyses support the hitherto disputed sister group relationship between Pici (Ramphastidae, Indicatoridae and Picidae) and Galbulae (Galbulidae and Bucconidae). Previously unrecognized osteological synapomorphies of this clade are presented. All analyses further resulted in monophyly of the taxon [Aegothelidae + (Apodidae/Hemiprocnidae + Trochilidae)]. Analysis of the morphological data and of the combined data set also supported monophyly of the taxon [Strigiformes + (Falconidae + Accipitridae)]. The morphological data further support monophyly of the taxon (Upupidae + Bucerotidae). Other placements in the three analyses received either no or only weak bootstrap support.
Chapter 5 Placental Malformation : Accreta and Beyond

Abnormal placentation is a noncommon but life-threatening obstetric condition that requires a multidisciplinary approach. It is a spectrum of disorders that seems to parallel the increasing rate of cesarean sections. Imaging findings have a crucial role in detecting this abnormality early in the pregnancy and subsequently guiding and alerting the surgeon. Between accreta and percreta, the difference is huge; thus, they are managed with a different degree of radicality. The surgeon tends to treat more radically cases of placenta percreta with cesarean hysterectomy and needs to have special expertise in pelvic surgery, inter alia, and gynecologic oncology. While extrapolation does not find its way in every case of abnormally invasive placenta, a new inspired technique from gynecologic oncology surgeries and adapted to percreta cases seems to be applied safely and effectively in all circumstances of percreta. Conservative treatment is also an alternative but is limited to selected cases of placenta accreta.
Applications of Mathematics

Some rigorous results connected with the conventional statistical theory of turbulence in both the twoand three-dimensional cases are discussed. Such results are based on the concept of stationary statistical solution, related to the notion of ensemble average for turbulence in statistical equilibrium, and concern, in particular, the mean kinetic energy and enstrophy fluxes and their corresponding cascades. Some of the results are developed here in the case of nonsmooth boundaries and a less regular forcing term and for arbitrary stationary statistical solutions.
Title Joint Search by Social and Spatial Proximity

The diffusion of social networks introduces new challenges and opportunities for advanced services, especially so with their ongoing addition of location-based features. We show how applications like company and friend recommendation could significantly benefit from incorporating social and spatial proximity, and study a query type that captures these two-fold semantics. We develop highly scalable algorithms for its processing, and enhance them with elaborate optimizations. Finally, we use real social network data to empirically verify the efficiency and efficacy of our solutions.
The Impact of Tourism on Indian Culture

Tourism is an important, even vital, source of income for many regions and countries. Increased leisure time and changes in lifestyle and consumption have given renewed importance to tourism. Travel outside a person’s local area for leisure was largely confined to wealthy classes, who at times travelled to distant parts of the world, to see great buildings, works of art, learn new languages, experience new cultures, and to taste different cuisines. Tourism also encourages respect for and preservation of monuments and heritage properties. ” At the interface between culture and tourism lies a series of deep and challenging issues relating to how we deal with issues of political engagement, social justice, economic change, belonging, identity and meaning. Tourism is a cultural phenomenon. It both impacts cultures and society, and is shaped by cultures and society. There is a deep influence of tourists and tourism on host country. Tourism is genuinely powerful and unique force for change in the community. Tourist impact has been most noticeable in lesser developed countries but is not entirely restricted to them. The cultural impact of tourism is concerned with the question of protecting and maintaining the cultural heritage and certain allied issues. The paper is an attempt to discuss the impact of tourism on Indian culture. The research design of this paper will be descriptive in nature.
An experiment in Animal Welfare Informatics : effects of digital interactive gameplay on the psychological welfare of home alone dogs –

The aim of this study is to explore the possible effects of digital interactive gameplay on the psychological welfare of dogs, which are home alone for extended periods of time. We hypothesize that the presence of a digital interactive game positively influences the psychological state of home alone dogs. The psychological state of the subjects is measured during a period of 10 days, in which the canines are subjected to 5 days of stimulation by the digital interactive game and 5 days during which an unstimulated situation is measured. In order to assess the psychological state of the canine during the test period, salivary cortisol hormone levels were measured twice daily at set times. Furthermore, extensive video data was collected, from which ethograms were constructed and quantified. The quantified ethogram data is complimented by qualitative observations based on the video material. Results are presented and discussed in the context of
A Swarm Learning System using Self-Organizing Fuzzy Neural Network and Reinforcement Learning

The number of state of multi-agent systems (MAS) is tremendous, so the behavior learning of agents becomes difficult. In this paper, to acquire adaptive behaviors of agents in the unknown environment, a self-organizing fuzzy neural network (SOFNN) is utilized as a state classifier. The output of SOFNN is connected to parameters of a stochastic policy of action selection. Using a reinforcement learning (RL) algorithm “stochastic gradient ascent” (SGA) proposed by Kimura et al., a swarm learning system can be composed in the case of co-operation of agents are rewarded. In the goal-navigation exploration problem, swarm learning showed is priority of learning performance comparing to individual learning which has no any reward to the cooperative behaviors of agents. Key-Words: Self-Organizing Fuzzy Neural Network (SOFNN), Reinforcement Learning (RL), Stochastic Gradient Ascent (SGA), multi-agent system (MAS)
A Formal Approach for Risk Assessment in RBAC Systems

Risk assessment and access control are important issues in cloud computing. In this paper, we propose a formal approach to risk assessment for RBAC Systems, in which access control decisions are taken after consideration of risk assessment. The risk assessment method considers partial orderings on objects and actions, which allow us to effectively capture the notions of importance of objects and criticality of actions and then to determine the risk of assigning a specific role to a specific user. We in particular consider the cases of permission assignment and delegation assignment.