Miracle-dz/UniFAR-FTUs huggingface dataset:
Partial Trisomy 1 q 21-qter and Partial Monosomy 7 q 21-qter Due to a Derivative Chromosome 7 in Myelodysplastic Syndrome Associated with Squamous Cell Carcinoma : Case Report

Background: Myelodysplastic syndromes (MDS) are subtypes of hematological disorders which are known to have partial bone marrow dysplasia, peripheral cytopenia, and later on an increased risk to develop acute myeloid leukemia. Chromosomal aberrations are detected in ~50% of cases of de novo MDS cases and the most common chromosomal abnormalities of this entity include complete or partial monosomy of chromosomes 5 and 7, partial deletion of 20q and 12p, trisomy 8, and 11q23 aberrations. A few primary and/or secondary MDS cases combined with other cancer have been reported. Case Presentation: We report here an adult MDS associated with squamous cell carcinoma (SCC). G-banding and array-proven multicolor banding (aMCB) revealed an unbalanced translocation der(7)t(1;7)(q21;q21), which led to 1q partial trisomy and 7q partial monosomy. Immunophenotype of this case was consistent with refractory anemia with excess of blasts (RAEB-2) according to World Health Organization (WHO) classification. Conclusions: As far as we know, this is the first adult MDS case associated with SCC and an unbalanced translocation t(1;7). Our patient received first cycle of azacitidine treatment and he showed bilateral pleural effusion as a secondary event. This toxicity is How to cite this paper: Wafa, A. , Moassass, F. , Liehr, T. , Aljapawe, A. and Al Achkar, W. (2016) Partial Trisomy 1q21-qter and Partial Monosomy 7q21-qter Due to a Derivative Chromosome 7 in Myelodysplastic Syndrome Associated with Squamous Cell Carcinoma: Case Report. Case Reports in Clinical Medicine, 5, 518-527. http://dx.doi. org/10.4236/crcm.2016. 512066 Received: October 27, 2016 Accepted: December 13, 2016 Published: December 16, 2016 Copyright © 2016 by authors and Scientific Research Publishing Inc. This work is licensed under the Creative Commons Attribution International License (CC BY 4.0). http://creativecommons.org/licenses/by/4.0/
Reduced prefrontal gyrification in obsessive-compulsive disorder Thomas WobrockOliver GruberAndrew M. McIntoshSusanne Kraft • Anne KlinghardtHarald ScherkWolfgang ReithThomas Schneider-Axmann • Stephen M. LawriePeter FalkaiThomas William Moorhead

Structural magnetic resonance imaging (MRI) studies reveal evidence for brain abnormalities in obses- sive-compulsive disorder (OCD), for instance, reduction of gray matter volume in the prefrontal cortex. Disturbances of gyrification in the prefrontal cortex have been described several times in schizophrenia pointing to a neurodevel- opmental etiology, while gyrification has not been studied so far in OCD patients. In 26 OCD patients and 38 healthy control subjects MR-imaging was performed. Prefrontal cortical folding (gyrification) was measured bilaterally by an automated version of the automated-gyrification index (A-GI), a ratio reflecting the extent of folding, from the slice containing the inner genu of the corpus callosum up to the frontal pole. Analysis of covariance (ANCOVA, inde- pendent factor diagnosis, covariates age, duration of edu- cation) demonstrated that compared with control subjects, patients with OCD displayed a significantly reduced A-GI in the left hemisphere (p = 0.021) and a trend for a decreased A-GI in the right hemisphere (p = 0.076). Significant correlations between prefrontal lobe volume and A-GI were only observed in controls, but not in OCD patients. In conclusion, prefrontal hypogyrification in OCD patients may be a structural correlate of the impairment in executive function of this patient group and may point to a neurodevelopmental origin of this disease.
The social positioning of supplementary schooling

This research study constitutes an ethnographic investigation of the social positioning of 16 ‘supplementary schools’. The study incorporates positioning theory coupled with Blommaert’s approach to discourse as theoretical and analytical frameworks. The realm of supplementary schooling is complex and diverse with each school engaged in various educational projects dictated by multiple socio-political and historical factors. This complexity however is not adequately represented within current research literature. The first phase of this study investigates the key purposes of 16 diverse supplementary schools in Birmingham. This phase also encompasses the establishment of a framework in which the social positioning of schools are represented. Such a framework will challenge existing essentialised notions of supplementary schooling. This aspect of the study is achieved through semi-structured interviews with school leaders from all 16 schools. This social positioning of supplementary schools is further explored within phase 2 of the study, through an in-depth case study of an African-Caribbean school. Here, classroom observation fieldnotes, interactive recordings and staff interviews afford an exploration of the relationship between school positioning and micro-level discursive practices. Analysis of this data demonstrates that supplementary schools are complex socio-political enterprises that are situated within and respond to multiple historical, social and political storylines. The study argues that these historical, social and political contexts should be considered in order to gain a developed understanding of the role and social positioning of these institutions.
Gender and the definition of sexual harassment: A meta-analysis of the empirical literature

To prove a hostile environment sexual harassment claim, a plaintiff must show that the alleged conduct was sufficiently severe or pervasive to have created a hostile, intimidating, or abusive work environment. In determining whether that standard has been met, courts ask whether a reasonable person in the same or similar circumstances would have found the conduct harassing. Since 1991, some courts have determined that this objective standard can best be operationalized by asking the triers of fact to view the behavior from a "reasonable woman's" perspective. In the landmark case, Ellison v. Brady, the court justified the need for a sex-specific standard by implicitly relying on findings from social science research suggesting that men and women differ in how they define sexual harassment. A meta-analysis of 79 studies that examined male/female differences on definition of sexual harassment was conducted. A small but persistent sex effect was found (r = . 1635) such that women tend to have broader definitions of sexual harassment than men. A closer look at male/female differences on individual stimuli showed that they varied considerably, however, suggesting that the important differences may relate more to the type of behavior being evaluated than to the sex of the evaluator. Additional research exploring these stimulus effects should be conducted.
Grade Retention as Perceived by Principals

This study examined the perceptions of principals regarding academic, social, or emotional outcomes and alternative interventions to grade retention. The principals were asked to respond to the survey on grade retention as an intervention. Following the initial survey, an article entitled, “Grade Retention and Promotion” (Jimerson, Graydon, Pletcher, Schnurr, Kundert, & Nickerson, 2006) was given for review and post-survey was administered. The results of this study revealed that principals’ attitudes changed about using retention as an intervention in response to reading the article. These research results indicated that when research-based information on the negative effects of retention was presented, there was a significant change in principals’ attitude as measured by these surveys. The effects on change in attitude compared to actual change in behavior should be studied.
Automatic detection of checkerboards on blurred and distorted images

Most of the existing camera calibration toolboxes require the observation of a checkerboard shown by the user at different positions and orientations. This paper presents an algorithm for the automatic detection of checkerboards, described by the position and the arrangement of their corners, in blurred and heavily distorted images. The method can be applied to both perspective and omnidirectional cameras. An existing corner detection method is evaluated and its strengths and shortcomings in detecting corners on blurred and distorted test image sets are analyzed. Starting from the results of this analysis, several improvements are proposed, implemented, and tested. We show that the proposed algorithm is able to consistently identify 80% of the corners on omnidirectional images of as low as VGA resolution and approaches 100% correct corner extraction at higher resolutions, outperforming the existing implementation significantly. The performance of the proposed method is demonstrated on several test image sets of various resolution, distortion, and blur, which are exemplary for different kinds of camera-mirror setups in use.
Encrypted Keyword Search Mechanism Based on Bitmap Index for Personal Storage Services

The remote storage service has been one of the most popular cloud services. However, outsourcing in the remote storage causes a privacy issue such as the exposure of personal data and the leakage of private information. In this paper, we focus on the encrypted keyword search problem, called searchable symmetric encryption in cryptography, to reserve the user privacy and the data confidentiality in cloud storage services. Even though many works have been introduced, they still suffer from limitations in their practical use due to high search costs and huge index size. We present a new keyword search mechanism based on the bitmap index that represents a set of files in the inverted index form. The proposed mechanism has fast search time and small index size compared with the previous works in practical use. We show that it can be directly applied to practical services by testing the known NoSQL database, Couch base.
An efficient end to end key establishment protocol for wireless sensor networks

Sensor networks are suitable candidates for military and scientific applications such as border security and environmental monitoring. They are usually deployed in unattended or hostile environments so security is a major concern with these networks. A fundamental requirement is the capability to establish pairwise keys between sensors. Many key establishment protocols have been proposed to address the security issues in wireless sensor networks. However, most of these have security or performance limitations. In this paper, we propose a new key establishment protocol based on symmetric polynomials. In our protocol, contrary to other works, we use a lot of symmetric polynomials to generate polynomial shares for a group of sensors, and the distribution of polynomial shares to each sensor is done by combinatorial design. Since, a limited number of shares are generated from a symmetric polynomial; the polynomial degree is very low. As a result, the common key between sensors can be generated without imposing overhead to them.
Collecting, managing and analyzing social networking data effectively

Social network analysis is a hot topic in recent years. However, how to collect, manage and analyze those large volume data effectively, is a very important problem. In this paper, we describe a system to collect, manage and mine social media data. Taking Tencent microblogs as an example, we implement a social media data collecting module based on Hadoop. In order to process data effectively and efficiently, we design a storm based managing and preprocessing system. As to the social media data analysis, we conduct topic detection based on LDA algorithm. We also propose a method to calculate the hot degree for each topic. In order to analyze the topic dynamics, we present a topic tracking method. Furthermore, we give an integrated method, which combines emotion and dictionary to analyze the sentiment of each topic. The Web-based result visualization are also implemented.
Between Conjecture and Memento: Shaping A Collective Emotional Perception of the Future

Large scale surveys of public mood are costly and often impractical to perform. However, the web is awash with material indicative of public mood such as blogs, emails, and web queries. Inexpensive content analysis on such extensive corpora can be used to assess public mood fluctuations. The work presented here is concerned with the analysis of the public mood towards the future. Using an extension of the Profile of Mood States questionnaire, we have extracted mood indicators from 10,741 emails submitted in 2006 to futureme.org, a web service that allows its users to send themselves emails to be delivered at a later date. Our results indicate long-term optimism toward the future, but medium-term apprehension and confusion.
Informative Structure Priors: Joint Learning of Dynamic Regulatory Networks from Multiple Types of Data

We present a method for jointly learning dynamic models of transcriptional regulatory networks from gene expression data and transcription factor binding location data. Models are automatically learned using dynamic Bayesian network inference algorithms; joint learning is accomplished by incorporating evidence from gene expression data through the likelihood, and from transcription factor binding location data through the prior. We propose a new informative structure prior with two advantages. First, the prior incorporates evidence from location data probabilistically, allowing it to be weighed against evidence from expression data. Second, the prior takes on a factorable form that is computationally efficient when learning dynamic regulatory networks. Results obtained from both simulated and experimental data from the yeast cell cycle demonstrate that this joint learning algorithm can recover dynamic regulatory networks from multiple types of data that are more accurate than those recovered from each type of data in isolation.
Estimation of nuclear population from microtome sections

Estimations of the numbers of nuclei in microtome sections a re frequently made in some branches of histology, particularly in the study of endocrine glands, hemopoietic organs and the central nervous system. The curious neglect of this and indeed of all quantitative methods in most other fields of histology will no doubt soon be a thing of the past. It is therefore important to consider how best to get reliable conclusions from such nuclear counts. The present note deals with a commonly neglected difficulty which necessarily follows from the use of microtome sections. Although I confine discussion to cell nuclei, the argument applies of course to any discrete component of tissues. The number of nuclei visible in a microtome section1 can easily be counted. But not all of the objects thus counted a re whole nuclei. Some must be fragments of nuclei, because some nuclei lie partly within the section examined, partly within an adjacent section. It is impossible always to tell which a re fragmentary, which whole. One cannot therefore extrapolate from the mean apparent number of nuclei within the volume of a niicrotome section to the mean number within a cubic millimeter or any given mass of tissue without exaggeration; since the count on a single section represents the
Regulation of Cell Motility by Mitogen-activated Protein Kinase

Cell interaction with adhesive proteins or growth factors in the extracellular matrix initiates Ras/ mitogen-activated protein (MAP) kinase signaling. Evidence is provided that MAP kinase (ERK1 and ERK2) influences the cells' motility machinery by phosphorylating and, thereby, enhancing myosin light chain kinase (MLCK) activity leading to phosphorylation of myosin light chains (MLC). Inhibition of MAP kinase activity causes decreased MLCK function, MLC phosphorylation, and cell migration on extracellular matrix proteins. In contrast, expression of mutationally active MAP kinase kinase causes activation of MAP kinase leading to phosphorylation of MLCK and MLC and enhanced cell migration. In vitro results support these findings since ERK-phosphorylated MLCK has an increased capacity to phosphorylate MLC and shows increased sensitivity to calmodulin. Thus, we define a signaling pathway directly downstream of MAP kinase, influencing cell migration on the extracellular matrix.
The Concept of Weak Substitution in Theorem-Proving

Many of the centrally important predicates which occur within theorem-proving programs involve, in their computation, a subcalculation aimed at determining whether or not a substitution exists satisfying certain constraints. Some of the principal difficulties in achieving efficient theorem-proving programs are traceable to the amount of computation required by this "substitution-existence analysis. " In this investigation, the concept of "weak substitution" is introduced and its utility and applicability in the subsumption and unification computations are examined. The main motivation for considering weak substitutions is this: the existence of a weak substitution having certain properties is relatively easy to detect, whereas the existence of a substitution proper having the same properties is not. Furthermore, the absence of such a weak substitution is a sufficient condition for the absence of the substitution proper. Using the concept of weak substitution, a particularly efficient implementation of the subsumption and unification computations on an associative processor is presented.
Privacy-preserving browser-side scripting with BFlow

Some web sites provide interactive extensions using browser scripts, often without inspecting the scripts to verify that they are benign and bug-free. Others handle users' confidential data and display it via the browser. Such new features contribute to the power of online services, but their combination would allow attackers to steal confidential data. This paper presents BFlow, a security system that uses information flow control to allow the combination while preventing attacks on data confidentiality. BFlow allows untrusted JavaScript to compute with, render, and store confidential data, while preventing leaks of that data. BFlow tracks confidential data as it flows within the browser, between scripts on a page and between scripts and web servers. Using these observations and assistance from participating web servers, BFlow prevents scripts that have seen confidential data from leaking it, all without disrupting the JavaScript communication techniques used in complex web pages. To achieve these ends, BFlow augments browsers with a new "protection zone" abstraction. We have implemented a BFlow browser reference monitor and server support. To evaluate BFlow's confidentiality protection and flexibility, we have built a BFlow-protected blog that supports Blogger's third party JavaScript extensions. BFlow is compatible with every legitimate Blogger extension that we have found, yet it prevents malicious extensions from leaking confidential data.
Measuring Class Cohesion Based on Iterative Process Using External Class Relationships

Class cohesion is a design quality that has a great impact on maintenance of object-oriented systems. There has been much work on measuring class cohesion based on internal class relationships only. However, object-oriented systems involve many external class relationships carrying functional semantics which should be also taken into account in measuring class cohesion. In this paper, we present a novel metric for measuring class cohesion based on an iterative process using both internal and external class relationships.
Predictive representations for policy gradient in POMDPs

We consider the problem of estimating the policy gradient in Partially Observable Markov Decision Processes (POMDPs) with a special class of policies that are based on Predictive State Representations (PSRs). We compare PSR policies to Finite-State Controllers (FSCs), which are considered as a standard model for policy gradient methods in POMDPs. We present a general Actor-Critic algorithm for learning both FSCs and PSR policies. The critic part computes a value function that has as variables the parameters of the policy. These latter parameters are gradually updated to maximize the value function. We show that the value function is polynomial for both FSCs and PSR policies, with a potentially smaller degree in the case of PSR policies. Therefore, the value function of a PSR policy can have less local optima than the equivalent FSC, and consequently, the gradient algorithm is more likely to converge to a global optimal solution.
Automated Trading with Machine Learning on Big Data

Financial markets are now extremely efficient,nevertheless there are still many investment funds that generatealpha systematically beating markets' return benchmarks. Theemergence of big data gave professional traders the newterritory, leverage and evidence and renewed opportunitiesof their profitable exploitation by Machine Learning (ML)models, increasingly taking over the trading floor by 24/7automated trading in response to the continuously fed datastreams. Rapidly increasing data sizes and strictly real-timerequirements of the trading models render large subset ofML methods intractable, overcomplex and impossible to applyin practise. In this work we demonstrate how to efficientlyapproach the problem of automated trading with large portfoliostrategy that continuously consumes streams of data acrossmultiple diverse markets. We demonstrate a simple scalabletrading model that learns to generate profit from multiple intermarketprice predictions and markets' correlation structure.We also introduce the stochastic trade diffusion technique tomaximise trading turnover while reducing strategy's exposureto market impact and construct the efficient risk-mitigatingportfolio that backtests with the strong positive return.
WisperNet: Anti-Jamming for Wireless Sensor Networks

Suggested Citation: Pajic, M. and Mangharam, R. (2008). WisperNet: Anti-Jamming for Wireless Sensor Networks. 2nd Workshop on Embedded Systems Security (WESS’08), IEEE/ACM EMSOFT’2008 and the Embedded Systems Week. ©2008 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.