Miracle-dz/UniFAR-FTUs huggingface dataset:
FRA1 promotes squamous cell carcinoma growth and metastasis through distinct AKT and c-Jun dependent mechanisms

FRA1 (Fos-like antigen 1) is highly expressed in many epithelial cancers including squamous cell carcinoma of the skin (cSCC) and head and neck (HNSCC). However, the functional importance and the mechanisms mediating FRA1 function in these cancers are not fully understood. Here, we demonstrate that FRA1 gene silencing in HNSCC and cSCC cells resulted in two consequences – impaired cell proliferation and migration. FRA1 regulation of cell growth was distinct from that of c-Jun, a prominent Jun group AP-1 factor. While c-Jun was required for the expression of the G1/S phase cell cycle promoter CDK4, FRA1 was essential for AKT activation and AKT-dependent expression of CyclinB1, a molecule required for G2-M progression. Exogenous expression of a constitutively active form of AKT rescued cancer cell growth defect caused by FRA1-loss. Additionally, FRA1 knockdown markedly slowed cell adhesion and migration, and conversely expression of an active FRA1 mutant (FRA1DD) expedited these processes in a JNK/c-Jun-dependent manner. Through protein and ChIP-PCR analyses, we identified KIND1, a cytoskeletal regulator of the cell adhesion molecule β1-integrin, as a novel FRA1 transcriptional target. Restoring KIND1 expression rescued migratory defects induced by FRA1 loss. In agreement with these in vitro data, HNSCC cells with FRA1 loss displayed markedly reduced rates of subcutaneous tumor growth and pulmonary metastasis. Together, these results indicate that FRA1 promotes cancer growth through AKT, and enhances cancer cell migration through JNK/c-Jun, pinpointing FRA1 as a key integrator of JNK and AKT signaling pathways and a potential therapeutic target for cSCC and HNSCC.
‘The helping, the fixtures, the kits, the gear, the gum shields, the food, the snacks, the waiting, the rain, the car rides … ’: social class, parenting and children's organised activities

ABSTRACT Class-related parenting cultures and ideologies have been of considerable interest to academics over the last two decades. Much of the research thus far has focused on exploring Annette Lareau's conceptualisations of ‘natural growth’ and ‘concerted cultivation’ and the implications for outcomes in relation to education. The focus of the present article is organised activities, which are a central but as yet relatively under-researched feature of middle-class parenting. The findings are based upon 73 semi-structured interviews with parents and children from 48 middle-class families living in and around a small city in northern England. The article reveals that initiating and facilitating children's organised activities is considered a central aspect of ‘good’ parenting in middle-class social networks. It is shown how this is a consequence of several developments within society over the past three decades or so, including the rising levels of maternal employment, the growing competitiveness of the labour market and the increasing concerns related to children's health and safety. It is argued that these developments have heightened middle-class parents’ predisposition to not only be involved with and invest in their children's leisure biographies, but to do so in a more deliberate, rigorous and rational manner.
Direct torque control algorithm for induction motor drives for the reduction of common mode voltage

This paper presents novel direct torque control (DTC) algorithms for induction motor drives for the reduction of common mode voltage. In the Proposed DTC algorithm-I the space vector plane is divided into six sectors same as that of Conventional DTC algorithm. In the proposed algorithm-II, the space vector plane is divided into twelve sectors instead of six sectors as in conventional DTC algorithm and Proposed DTC algorithm-I. Moreover, the proposed algorithms do not use the zero voltage vectors. To validate the proposed algorithm, numerical simulations have been carried out using MATLAB-Simulink and results are presented and compared. From the simulation results it can be observed the proposed algorithm reduces the common mode voltage variations compared to conventional DTC algorithm.
Vector Map Constrained Path Bundling in 3D Environments

Dense line graphs and polyline maps are challenging for interactive visualization in geographic information systems (GIS). Bundling techniques are a common approach to reduce clutter and have successfully been demonstrated for the display of complex planar graphs. Previous techniques typically employed some form of attraction or repulsion forces to bundle edges in two dimensions, and while in principle extensible to 3D they do not directly support hard intersection constraints in a 3D environment. In geographic visualization systems, e.g. such as interactive virtual globes or 3D GIS viewers, it is often necessary to take the 3D environment into account and to: (1) bundle lines and paths in 3D, (2) constrain path bundles to follow some reference network vector map, as well as (3) avoid intersections with the digital elevation model (DEM). In this paper we introduce a novel method which uses geographic vector map reference information to route, visualize and simplify path bundles along their network paths in a constrained 3D environment using adaptive B-splines. Moreover, we describe an efficient rendering architecture to flexibly display bundled paths within a 3D rendering pipeline at varying level of detail (LOD).
Dynamic Bandwidth Allocation for Requests with Classes and Priorities in Preemptive Distributed Networks

In today's general-purpose networked computing environments, both commercial and military, in addition to providing connectivity, providing quality of service (QoS) to users is a major concern. One of the major QoS parameters in this context is bandwidth. This research focuses mainly on the intelligent allocation of bandwidth to requests in oversubscribed networks such that, some measure of worth associated with the satisfied requests is optimized. In this work, heterogeneous networks with preemptive capabilities have been considered. A preemptive network is capable of interrupting a request that is currently in progress to service a request that is considered to be more important to the system by some metric. To provide a sound theoretical foundation for grouping requests into different categories, a class and priority based mechanism is described such that, all requests belonging to a higher class are to be satisfied before any request(s) of a lower class are considered. Within a given class, Wher differentiation among requests is achieved by assigning different priority levels to the requests depending on their relative importance. Scheduling heuristics have been developed to determine the bandwidth allocations to the requests depending on their class, relative worths of their priority levels, and the network capacities available for that period. These heuristics allocate network bandwidth to requests of two types: 1) session type requesting a fixed amount of bandwidth for a given interval of time, and 2) data type requesting a data item of given size with an earliest available time and fixed deadline. The heuristics used for the intelligent allocation of bandwidth try to maximize the weighted priority (or worth) of the satisfied requests in the most important class, then the second most important class, and so on, down to the least important class. Simulation experiments have been conducted to quantify the performance of the scheduling algorithms in different scenarios.
Students' Feeling Affecting The Communication In English Drama Performance

This research aims to know students' ability in getting their feeling involved and to knowthe effect of the conformity of their verbal and nonverbal communication in playing drama Labiode in English Drama Performance 2014. The subject of this research is the students of English Education Study Program of FKIP Untan who played drama Labiode in English Drama Performance 2014. In this case study, the data were obtained from observation and interview. The data shows that the students had the ability to involve their feeling and to conform their verbal and nonverbal communication in playing their role in drama Labiode. This study reveals that the students with more ability to get involved into the role showed better conformity in communicating the dialogue through both verbal and nonverbal languages.
Atomistic calculations of ion implantation in Si: Point defect and transient enhanced diffusion phenomena

A new atomistic approach to Si device process simulation is presented. It is based on a Monte Carlo diffusion code coupled to a binary collision program. Besides diffusion, the simulation includes recombination of vacancies and interstitials, clustering and re‐emission from the clusters, and trapping of interstitials. We discuss the simulation of a typical room‐temperature implant at 40 keV, 5×1013 cm−2 Si into (001)Si, followed by a high temperature (815 °C) anneal. The damage evolves into an excess of interstitials in the form of extended defects and with a total number close to the implanted dose. This result explains the success of the ‘‘+1’’ model, used to simulate transient diffusion of dopants after ion implantation. It is also in agreement with recent transmission electron microscopy observations of the number of interstitials stored in (311) defects.
New language models using phrase structures extracted from parse trees

This paper proposes a new speech recognition scheme using three linguistic constraints. Multi-class composite bigram models [1] are used in the first and second passes to reflect word-neighboring characteristics as an extension of conventional word n-gram models. Trigram models with constituent boundary markers and word pattern models are both used in the third pass to utilize phrasal constraints and headword cooccurrences, respectively. These two models are made using a training text corpus with phrase structures given by an examplebased Transfer-Driven Machine Translation (TDMT) parser [2]. Speech recognition experiments show that the new recognition scheme reduces word errors 9.50% from the conventional scheme by using word-neighboring characteristics, that is only the multi-class composite bigram models.
Adult suicidal risk scales in the practice of the clinical psychologist and psychiatrist: review of available tools

Marcin Piotr Nowak1, Tomasz Pawełczyk1,2 © Medical Communications Sp. z o.o. This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (CC BY-NC-ND). Reproduction is permitted for personal, educational, non-commercial use, provided that the original article is in whole, unmodified, and properly cited. Received: 06.07. 2017 Accepted: 28.03. 2018 Published: 29.06. 2018 © Psychiatr Psychol Klin 2018, 18 (2), p. 180–187 DOI: 10.15557/PiPK.2018. 0021 Skale oceny ryzyka samobójstwa dorosłych w praktyce psychologa klinicznego i psychiatry: przegląd dostępnych narzędzi Adult suicidal risk scales in the practice of the clinical psychologist and psychiatrist: review of available tools
Safety Evaluation of Polyethylene Glycol (PEG) Compounds for Cosmetic Use

Polyethylene glycols (PEGs) are products of condensed ethylene oxide and water that can have various derivatives and functions. Since many PEG types are hydrophilic, they are favorably used as penetration enhancers, especially in topical dermatological preparations. PEGs, together with their typically nonionic derivatives, are broadly utilized in cosmetic products as surfactants, emulsifiers, cleansing agents, humectants, and skin conditioners. The compounds studied in this review include PEG/PPG-17/6 copolymer, PEG-20 glyceryl triisostearate, PEG-40 hydrogenated castor oil, and PEG-60 hydrogenated castor oil. Overall, much of the data available in this review are on PEGylated oils (PEG-40 and PEG-60 hydroge-nated castor oils), which were recommended as safe for use in cosmetics up to 100% concentration. Currently, PEG-20 glyceryl triisostearate and PEGylated oils are considered safe for cosmetic use according to the results of relevant studies. Additionally, PEG/PPG-17/6 copolymer should be further studied to ensure its safety as a cosmetic ingredient.
Applying Systems Science Methods to Risk-Based Disease Management and Population Oral Health

Author(s): Flint MacBride, Robin A. | Advisor(s): Halfon, Neal | Abstract: Policymakers and public health practitioners face many complex population and health care related problems that cannot be fully understood by simply understanding the component parts. However, the predominant approach in research, practice and policymaking is to approach complex problems with reductionist thinking and methods. Complex systems methods such as agent-based modeling (ABM), System Dynamics (SD) and discrete-event simulations are well suited to deal with the inherent complexity of populations and delivery systems and complement reductionist approaches.Early childhood caries and the dental care delivery system are good examples of complex systems at many levels. Caries is a complex multifactorial disease that is both infectious and chronic. It is one of the most prevalent chronic conditions in the U.S. and the world, and it is therefore a costly disease, not just financially, but also the impact it can have on learning, development and social engagement of children. Oral health disparities persist in vulnerable populations despite marked improvements in the overall oral health of the nation in the last 50 years. Developments in risk-based care and disease management in the last decades have demonstrated its ability to reduce disease and its consequences, yet it is generally not used to its full potential in dentistry.An overarching goal of this dissertation is to demonstrate the utility and feasibility of a system-science approach for analyzing interconnected population and health care problems. I draw on the system science toolkit to, first, take a holistic view of the system influences on dentists’ behaviors, and second to use a hybrid simulation model to explore the structure and dynamics of a risk-based and disease management approach to dental care and population oral health. The simulation provides a demonstration of ways to harness the strengths of agent-based models, system dynamics models, and discrete event simulations to represent and learn about the structures driving the system’s behaviors and the underlying interactions at the individual level of patients and providers.Overall, the modeling process yielded much learning about the disease and dental care process, as well as about the modeling process, its techniques and the language of systems. The findings support the application of these simulation and system thinking tools to aid in learning, planning and to inform the policy making process
A novel two-step approach to restorable dynamic QoS routing

Aiming at minimizing the combined bandwidth cost of a pair of disjoint active and backup paths, a popular approach to designing restorable dynamic quality of service (QoS) routing schemes is based on the integer linear programming (ILP) formulation. Owing to the very different natures of active and backup paths, we found this approach problematic. In this paper, we propose an alternative approach, called two-step restorable QoS routing. In the first step, an active path is found using the widest shortest path (WSP) routing. In the second step, the corresponding backup path is determined using one of the three variants of shortest widest path (SWP) routing: basic SWP, approximate SWP or composite SWP. Combining the two steps, three novel two-step routing algorithms, denoted by SBW, SAW, and SCW, are obtained. Comparing with the best known algorithms, we show that our two-step routing approach yields noticeably lower call blocking probability, shorter active-path length, and additional flexibility of adjusting backup-path length (depending on the SWP variant adopted). Besides, our two-step routing approach gives a much shorter running time than the ILP approach, which makes it more suitable for dynamic routing.
Formal firewall conformance testing: an application of test and proof techniques

Firewalls are an important means to secure critical ICT infrastructures. As configurable off‐the‐shelf products, the effectiveness of a firewall crucially depends on both the correctness of the implementation itself as well as the correct configuration. While testing the implementation can be done once by the manufacturer, the configuration needs to be tested for each application individually. This is particularly challenging as the configuration, implementing a firewall policy, is inherently complex, hard to understand, administrated by different stakeholders and thus difficult to validate. This paper presents a formal model of both stateless and stateful firewalls (packet filters), including NAT, to which a specification‐based conformance test case generation approach is applied. Furthermore, a verified optimisation technique for this approach is presented: starting from a formal model for stateless firewalls, a collection of semantics‐preserving policy transformation rules and an algorithm that optimizes the specification with respect of the number of test cases required for path coverage of the model are derived. We extend an existing approach that integrates verification and testing, that is, tests and proofs to support conformance testing of network policies. The presented approach is supported by a test framework that allows to test actual firewalls using the test cases generated on the basis of the formal model. Finally, a report on several larger case studies is presented. Copyright © 2014 John Wiley & Sons, Ltd.
Manifestações Contratransferenciais no Processo Terapêutico de uma Paciente com Personalidade Borderline

Resumo Pacientes com transtorno de personalidade borderline (TPB) são tipicamente instáveis e intensos em seus afetos e comportamentos, facilmente despertando reações emocionais negativas em seus terapeutas. Desse modo, manejar a contratransferência é fundamental para a psicoterapia com esses pacientes. Este estudo de caso sistemático visa descrever as manifestações contratransferenciais no processo terapêutico do primeiro ano de uma terapia psicanalítica de uma paciente com TPB, ampliando o conhecimento empírico sobre como a contratransferência interage com as variáveis do paciente. As sessões (n = 59) foram codificadas por duplas de juízes independentes treinados com o Psychotherapy Process Q-Set (PQS), um q-sort de 100 itens que fornece descrição das variáveis do paciente, do terapeuta e da interação terapêutica que caracterizam o tratamento. Experts em psicoterapia psicanalítica selecionaram seis itens do PQS como indicadores de reações contratransferenciais e 12, como indicadores de estados mentais e comportamentos característicos de pacientes com TPB. Esses itens foram examinados em relação ao tempo. Os achados revelam a predominância de atitudes terapêuticas compatíveis com uma contratransferência positiva. As implicações clínicas dos achados são discutidas.
Workshop A — eResearch

Digital Ecosystems rely on the exchange of information between participants of the system. Within one ecosystem the size and complexity of the data can have a wide variation. In this note we investigate the problems of managing large and small files within the same system using the integrated Rule Oriented Data management System (iRODS). Keywords-component; data management;irods
Prescribing Medications in Patients with Decompensated Liver Cirrhosis

Patients with decompensated liver cirrhosis have various serious complications which require multiple drugs for therapeutic or prophylactic use. Majority of the drugs are primarily metabolized and excreted by hepatobiliary system; hence, liver cell necrosis contributes to impaired drug handling in liver failure while portosystemic shunt can alter drug action in cirrhosis. Hence, in order to decide drug dosing in liver failure, 3 important factors need to be considered (1) pharmacokinetic alterations of drugs, (2) pharmacodynamic alteration of drugs, and (3) increased susceptibility of patients to adverse events particularly hepatotoxicity. Though there is no predictable test which can be used to determine drug dosage in patients with decompensated liver cirrhosis, drugs with first pass metabolism require reduction in oral dosages, for high clearance drugs both loading and maintenance dosages need adjustment, for low clearance drugs maintenance dose needs adjustment, whenever possible measuring drug level in the blood and monitoring of adverse events frequently should be done. No evidence-based guidelines exist for the use of medication in patients' with liver cirrhosis. There are hardly any prospective studies on the safety of drugs in cirrhotic patients. According to the experts opinion, most of the drugs can be used safely in patients with cirrhosis, but drug-induced hepatotoxicity may be poorly tolerated by patients with cirrhosis; hence, potential hepatotoxins should be avoided in patients with liver cirrhosis. Potentially hepatotoxic drugs may be used in patients with liver cirrhosis based on the clinical needs and when there are no alternatives available. Caveat for the prescribing medications in patients with cirrhosis the drug dosing should be individualized depending on a number of factors like nutritional status, renal function, adherence, and drug interaction. Monitoring of the liver function at frequent intervals is highly recommended.
Guidelines to Achieve Cross-country Data Comparability

1 List of updates This Section describes the main changes we have made to the guidelines after the Penn conference, building on the feedback we got from you and from the other conference participants. The updates are explained in more detail in the relevant sections of the document. Comparison with National Accounts: authors should document how aggregates from micro data compare to corresponding macro aggregates from NIPA. Equivalization: we decided to stick with the OECD scale, but we encourage you to try to use regression analysis, or explore other ways to equivalize income and consumption in the second part of the paper. Clari…cation on individual inequality statistics: When computing measure of individual wages and earnings, one should do it for all working age males and females in the sample, not just heads and spouses. Life cycle pro…les: we have changed the way we want you to extract the age-inequality pro…les. Inequality measures: we have chosen to use the variance of the logs instead of the standard deviation, since it can be decomposed more naturally. We also ask you to compute measures of the college premium, the experience premium and the gender premium. If your data are not top-coded, we encourage you to examine the dynamics of income shares at the very top of the distribution. De ‡ation: we have decided to simply use the CPI to de ‡ate income and consumption measures Outliers: we have slightly modi…ed our suggested way to deal with outliers at the bottom of the distribution. Earnings process: We now encourage you to explore alternatives to the simple random walk plus i.i. d. earnings process in the second part of the paper. Lognormality test: in the second part of the paper, we encourage you to test lognormality of the income and consumption distributions. Data documentation: One goal of the project is to deposit the data used for each country-speci…c paper on the RED website. It is therefore useful to add an appendix to your paper with data documentation allowing external researchers to use the data without too much e¤ort. List of Figures: To insure more comparability across country studies we speci…cally describe a minimal list of …gures that each paper should contain (see section 9)