Miracle-dz/UniFAR-FTUs huggingface dataset:
Teach Feminist: Pedagogy, Politics, and Process in Women’s Studies

The authors reflect on organizing Teach Feminist, an interdisciplinary conference for faculty and students organized within theWomen’s Studies program at Queens College–City University of New York. By focusing on the implications of certain forms used in organizing—in particular, the use of a Listserv, efforts to focus attention explicitly on pedagogy, and understandings of faculty work within the academy—the authors consider how their work as organizers was limited by certain institutional logics, and they advocate forms of understanding that can articulate how educators inhabit institutions, while also recognizing that there must be sites of intervention that exceed institutional forms and logics, strategies that engage the possibility of exceeding the structures within which they emerge.
Accelerating Double Precision FEM Simulations with GPUs

In visualization and computer graphics it has been shown that the numerical solution of PDE problems can be obtained much faster on graphics processors (GPUs) than on CPUs. However, GPUs are restricted to single precision floating point arithmetics which is insufficient for most technical scientific computations. Since we do not expect double precision support natively in graphics hardware in the medium-term, we demonstrate how to accelerate double precision iterative solvers for Finite Element simulations with current GPUs by applying a mixed precision defect correction approach. Our prototypical algorithm already runs more than two times faster than a highly tuned pure CPU solver while maintaining the same accuracy. We present a series of tests and discuss multiple optimization options.
Interfaces Between Management Accounting and Organizational Behavior

are about to discover accounting. &dquo;Anything’s possible when you learn to handle accounting! Accounting is the major means of communicating about the nature and financial impact of an organization’s activities. The accounting system provides information for internal reporting to managers for use in their planning and controlling of routine operations, in making decisions, and in formulating overall policies and long-range plans (management or cost accounting); it also provides quantitative information for external reporting to shareholders, government, and other outside parties (financial accounting). 2
Group-Blind Detection for Uplink of Massive MIMO Systems

When paired with traditional channel estimation and detection, massive MIMO is severely affected by pilot contamination. While sticking to the traditional structure of the training phase where orthogonal pilot sequences are reused in different cells, we propose a group-blind detector that takes into account the presence of pilot contamination. Our detector uses the excess antennas to partially remove interference during the data transmission phase. We derive asymptotic expressions for the SINR gain and the achievable rate in the massive regime, i.e., when the number of antennas tends to infinity while keeping the number of users per cell fixed. Implementing the group-blind detector requires an estimate of the aggregate out-of-cell channel covariance. We propose a simple scheme, referred to as method of silences, to obtain such estimate. Numerical results confirm our analysis in practical scenarios, and show cases where the method of silences achieves a large fraction of the promised SINR gain over conventional detectors.
Common data elements in radiologic imaging of traumatic brain injury

Traumatic brain injury (TBI) has a poorly understood pathology. Patients suffer from a variety of physical and cognitive effects that worsen as the type of trauma worsens. Some noninvasive insights into the pathophysiology of TBI are possible using magnetic resonance imaging (MRI), computed tomography (CT), and many other forms of imaging as well. A recent workshop was convened to evaluate the common data elements (CDEs) that cut across the imaging field and given the charge to review the contributions of the various imaging modalities to TBI and to prepare an overview of the various clinical manifestations of TBI and their interpretation. Technical details regarding state‐of‐the‐art protocols for both MRI and CT are also presented with the hope of guiding current and future research efforts as to what is possible in the field. Stress was also placed on the potential to create a database of CDEs as a means to best record information from a given patient from the reading of the images. J. Magn. Reson. Imaging 2010;32:516–543. © 2010 Wiley‐Liss, Inc.
Low‐Intensity Whole‐Body Vibration Training to Reduce Fall Risk in Active, Elderly Residents of a Retirement Village

A once-weekly session of RT was enough to reduce percentage body fat and progressively increase muscle strength in older men. To the knowledge of the authors, this is the first study with positive and significant results in percentage body fat after once-weekly sessions of RT. In contrast, body weight and dry lean mass remained constant, with no intragroup change throughout the 32 weeks, but the participants were close to 70 years old, and because dry lean mass was preserved, it can be assumed that reducing percentage body fat is the most important way to prevent sarcopenia. In addition, the significant increase in 30-second chair stand and arm curl performance observed in the RTG represents an important improvement related to daily activities. Extreme maximum strength gains were also found, with an overall percentage change in 1-RM of 67.1%. To the knowledge of the authors, these results demonstrate an effect that has not been observed in any other study using a once-weekly session of RT. In conclusion, a once-weekly RT session improves muscle strength and induces beneficial effects in the functional fitness of older adults. The results of the present study suggest that a once-weekly session of RT is enough to prevent sarcopenia.
Chapter 12 . Age-Related Osteoporosis

Because of obvious limitations in studying human fetuses and (to a lesser degree) neonates, human regulation of fetal and neonatal mineral homeostasis must be largely inferred from studies in animals. Some observations in animals may not apply to humans. This chapter briefly reviews existing human and animal data, including older studies of surgically manipulated animals and recent studies of mice engineered to lack calciotropic hormones or receptors. Detailed references are available in two comprehensive reviews. (1,2)
Identification by whole-genome resequencing of gene defect responsible for severe hypercholesterolemia

Whole-genome sequencing is a potentially powerful tool for the diagnosis of genetic diseases. Here, we used sequencing-by-ligation to sequence the genome of an 11-month-old breast-fed girl with xanthomas and very high plasma cholesterol levels (1023 mg/dl). Her parents had normal plasma cholesterol levels and reported no family history of hypercholesterolemia, suggesting either an autosomal recessive disorder or a de novo mutation. Known genetic causes of severe hypercholesterolemia were ruled out by sequencing the responsible genes (LDLRAP, LDLR, PCSK9, APOE and APOB), and sitosterolemia was ruled out by documenting a normal plasma sitosterol:cholesterol ratio. Sequencing revealed 3 797 207 deviations from the reference sequence, of which 9726 were nonsynonymous single-nucleotide substitutions. A total of 9027 of the nonsynonymous substitutions were present in dbSNP or in 21 additional individuals from whom complete exonic sequences were available. The 699 novel nonsynonymous substitutions were distributed among 604 genes, 23 of which were single-copy genes that each contained 2 nonsynonymous substitutions consistent with an autosomal recessive model. One gene, ABCG5, had two nonsense mutations (Q16X and R446X). This finding indicated that the infant has sitosterolemia. Thus, whole-genome sequencing led to the diagnosis of a known disease with an atypical presentation. Diagnosis was confirmed by the finding of severe sitosterolemia in a blood sample obtained after the infant had been weaned. These findings demonstrate that whole-genome (or exome) sequencing can be a valuable aid to diagnose genetic diseases, even in individual patients.
ANALYSIS OF DDoS ATTACKS IN DISTRIBUTED PEER TO PEER NETWORKS

The term „peer-to-peer? generally describes a class of systems that employ distributed resources to perform a specific function in a decentralized manner. Distributed P2P networks are widely used for file sharing and in such a scenario, a Distributed P2P network could be easily exploited by an attacker to establish a DDoS attack against any arbitrary host on the internet. Distributed denials of service (DDoS) attacks are very hard to detect and regarded as a major threat to the Internet. Though a number of techniques have been proposed to defeat DDoS attacks in Distributed P2P networks, it is still very hard to respond to flooding- based DDoS attacks due to a large number of attacking machines and the use of source- address spoofing. An efficient framework has been designed to detect and defend against DDoS attacks in Distributed Peer-to-Peer networks. It defends against attacks by considering the distance between the source ends and the victim end and also the Time-to-Live (TTL) value in IP header. The proposed system has three major components: DDoS detection, agent-based trace back, and traffic control. The agent based mechanism is used to keep track of all the node details (e.g. bandwidth, node capacity, etc). The proposed system can be evaluated on a network simulation platform called NS2. The results demonstrate that the detection techniques are capable of detecting DDoS attacks accurately, and the defence mechanism can efficiently control attack traffic in order to maintain the quality of service for legitimate traffic. Also, the framework shows better performance in defeating the DDoS attacks in Distributed P2P networks compared to the other existing techniques.
Multimodality Functional Imaging in Radiation Therapy Planning: Relationships between Dynamic Contrast-Enhanced MRI, Diffusion-Weighted MRI, and 18F-FDG PET

OBJECTIVES Biologically guided radiotherapy needs an understanding of how different functional imaging techniques interact and link together. We analyse three functional imaging techniques that can be useful tools for achieving this objective. MATERIALS AND METHODS The three different imaging modalities from one selected patient are ADC maps, DCE-MRI, and 18F-FDG PET/CT, because they are widely used and give a great amount of complementary information. We show the relationship between these three datasets and evaluate them as markers for tumour response or hypoxia marker. Thus, vascularization measured using DCE-MRI parameters can determine tumour hypoxia, and ADC maps can be used for evaluating tumour response. RESULTS ADC and DCE-MRI include information from 18F-FDG, as glucose metabolism is associated with hypoxia and tumour cell density, although 18F-FDG includes more information about the malignancy of the tumour. The main disadvantage of ADC maps is the distortion, and we used only low distorted regions, and extracellular volume calculated from DCE-MRI can be considered equivalent to ADC in well-vascularized areas. CONCLUSION A dataset for achieving the biologically guided radiotherapy must include a tumour density study and a hypoxia marker. This information can be achieved using only MRI data or only PET/CT studies or mixing both datasets.
Big Privacy: Challenges and Opportunities of Privacy Study in the Age of Big Data

One of the biggest concerns of big data is privacy. However, the study on big data privacy is still at a very early stage. We believe the forthcoming solutions and theories of big data privacy root from the in place research output of the privacy discipline. Motivated by these factors, we extensively survey the existing research outputs and achievements of the privacy field in both application and theoretical angles, aiming to pave a solid starting ground for interested readers to address the challenges in the big data case. We first present an overview of the battle ground by defining the roles and operations of privacy systems. Second, we review the milestones of the current two major research categories of privacy: data clustering and privacy frameworks. Third, we discuss the effort of privacy study from the perspectives of different disciplines, respectively. Fourth, the mathematical description, measurement, and modeling on privacy are presented. We summarize the challenges and opportunities of this promising topic at the end of this paper, hoping to shed light on the exciting and almost uncharted land.
Isotype-specific Selection of High Affinity Memory B Cells in Nasal-associated Lymphoid Tissue

Mucosal immunoglobulin (Ig)A dominance has been proposed to be associated with preferential class switch recombination (CSR) to the IgA heavy chain constant region, Cα. Here, we report that B cell activation in nasal-associated lymphoid tissue (NALT) upon stimulation with the hapten (4-hydroxy-3-nitrophenyl)acetyl (NP) coupled to chicken γ globulin caused an anti-NP memory response dominated by high affinity IgA antibodies. In the response, however, NP-specific IgG+ B cells expanded and sustained their number as a major population in germinal centers (GCs), supporting the view that CSR to IgG heavy chain constant region, Cγ, operated efficiently in NALT. Both IgG+ and IgA+ GC B cells accumulated somatic mutations, indicative of affinity maturation to a similar extent, suggesting that both types of cell were equally selected by antigen. Despite the selection in GCs, high affinity NP-specific B cells were barely detected in the IgG memory compartment, whereas such cells dominated the IgA memory compartment. Taken together with the analysis of the VH gene clonotype in GC and memory B cells, we propose that NALT is equipped with a unique machinery providing IgA-specific enrichment of high affinity cells into the memory compartment, facilitating immunity with high affinity and noninflammatory secretory antibodies.
Classification and features 16 S rRNA gene analysis

Phaeobacter gallaeciensis CIP 105210 T (= DSM 26640 T = BS107 T) is the type strain of the species Phaeobacter gallaeciensis. The genus Phaeobacter belongs to the marine Roseobacter group (Rhodobacteraceae, Alphaproteobacteria). Phaeobacter species are effective colonizers of marine surfaces, including frequent associations with eukaryotes. Strain BS107 T was isolated from a rearing of the scallop Pecten maximus. Here we describe the features of this organism , together with the complete genome sequence, comprising eight circular replicons with a total of 4,448 genes. In addition to a high number of extrachromosomal replicons, the ge-nome contains six genomic island and three putative prophage regions, as well as a hybrid between a plasmid and a circular phage. Phylogenomic analyses confirm previous results, which indicated that the originally reported P. gallaeciensis type-strain deposit DSM 17395 belongs to P. inhibens and that CIP 105210 T (= DSM 26640 T) is the sole genome-sequenced representative of P. gallaeciensis.
An Automatic and General Framework for Domain-Specific Knowledge Bases Extracting

A domain-specific knowledge base (KB), as the name implies, contains concepts, instances, and relationships of a relatively well-defined domain. In recent years, domain-specific KBs are increasingly found to be critical and effective to a wide variety of real-world applications. However, less attention has been paid to the creation of domain-specific KBs compared with global KBs. In this paper we present an automatic and general framework for domain-specific KBs extraction. As KBs creation is a time-consuming task, our framework extracts domain-specific KBs from existing public global KBs. In particular, we use a semantic lexicon to capture domain information from user input keywords. During the process, we provide four rules to assure the semantic consistency and semantic completeness features of the extracted domain-specific KBs. Extensive experiments on the real dataset have been conducted to verify the effectiveness and efficiency of our approach.
Real time object scanning using a mobile phone and cloud-based visual search engine

Computer vision and human-powered services can provide blind people access to visual information in the world around them, but their efficacy is dependent on high-quality photo inputs. Blind people often have difficulty capturing the information necessary for these applications to work because they cannot see what they are taking a picture of. In this paper, we present Scan Search, a mobile application that offers a new way for blind people to take high-quality photos to support recognition tasks. To support realtime scanning of objects, we developed a key frame extraction algorithm that automatically retrieves high-quality frames from continuous camera video stream of mobile phones. Those key frames are streamed to a cloud-based recognition engine that identifies the most significant object inside the picture. This way, blind users can scan for objects of interest and hear potential results in real time. We also present a study exploring the tradeoffs in how many photos are sent, and conduct a user study with 8 blind participants that compares Scan Search with a standard photo-snapping interface. Our results show that Scan Search allows users to capture objects of interest more efficiently and is preferred by users to the standard interface.
Internet addiction in the island of Hippocrates: the associations between internet abuse and adolescent off-line behaviours.

BACKGROUND To investigate the phenomenon of internet addiction and concurrent social (off-line) behaviours of an adolescent population a cross-sectional survey of the entire adolescent student population (N = 1270, aged 14-18) of the island of Kos in Greece was conducted. METHOD Completion by the survey participants of a demographic questionnaire, the 8-question YDQ (Diagnostic Questionnaire for Internet Addiction) and the 20-question IAT (Internet Addiction Test), followed by comparative analysis between and within usage groups. RESULTS Results demonstrate that 7.2% of male and 5.1% of female internet users present addictive behaviours while using the internet. CONCLUSIONS Anti-social, aggressive behaviours were significantly correlated with an increase to the pattern of abusive internet use in both sexes. Boys and girls had distinct profiles of off-line and online preferences. Boys tended to favour interest-driven online activities as their levels of addictive behaviour increased while girls favoured communication-driven online activities.
Portal hypertension: Imaging of portosystemic collateral pathways and associated image-guided therapy

Portal hypertension is a common clinical syndrome, defined by a pathologic increase in the portal venous pressure. Increased resistance to portal blood flow, the primary factor in the pathophysiology of portal hypertension, is in part due to morphological changes occurring in chronic liver diseases. This results in rerouting of blood flow away from the liver through collateral pathways to low-pressure systemic veins. Through a variety of computed tomographic, sonographic, magnetic resonance imaging and angiographic examples, this article discusses the appearances and prevalence of both common and less common portosystemic collateral channels in the thorax and abdomen. A brief overview of established interventional radiologic techniques for treatment of portal hypertension will also be provided. Awareness of the various imaging manifestations of portal hypertension can be helpful for assessing overall prognosis and planning proper management.
Impact of Mobility and Timing on User-Generated Content

Online reviews of services and products are increasingly posted via mobile devices rather than a website. Our research shows that opinions posted via mobile devices are more timely, shorter, more “to the point” and more negative than web reviews. Moreover, more positive reviews are on average shorter than negative reviews. We arrived at these conclusions by analyzing all reviews posted in 2012 on a leading online review platform for travel products relating to the 25 largest U.S. markets (n=293,945). From this data we extracted matched samples of all reviews posted via mobile devices (30,540) and via the web interface (38,248) for the same product on the same day. Reviewers gave both an overall rating for the provider and for the service on a scale of 1 (extremely poor) to 5 (extremely good).
Epidemiological Changes of Respiratory Syncytial Virus (RSV) Infections in Israel

RSV is the leading cause of lower respiratory-tract infections in infants and therefore demands in-depth epidemiological characterization. We investigated here the distribution of RSV types in Israel between the years 2005–2012. Clinical samples were collected from 11,018 patients hospitalized due to respiratory illnesses and were evaluated for the presence of various respiratory viruses, including RSV A and RSV B. Until 2008, each year was characterized by the presence of one dominant type of RSV. However, from 2008, both RSV A and B types were detected at significant levels, particularly among infants aged 0–2 years. Furthermore, significant changes in the RSV A and RSV B subtypes circulating in Israel since 2008 were observed. Finally, we demonstrate that, irrespectively of the changes observed in RSV epidemiology, when the pandemic H1N1pdm09 influenza virus appeared in 2009, RSV infections were delayed and were detected when infection with H1N1pdm09 had declined.
Grammar‐based test generation with YouGen

Grammars are traditionally used to recognize or parse sentences in a language, but they can also be used to generate sentences. In grammar‐based test generation (GBTG), context‐free grammars are used to generate sentences that are interpreted as test cases. A generator reads a grammar G and generates L(G), the language accepted by the grammar. Often L(G) is so large that it is not practical to execute all of the generated cases. Therefore, GBTG tools support ‘tags’: extra‐grammatical annotations which restrict the generation. Since its introduction in the early 1970s, GBTG has become well established: proven on industrial projects and widely published in academic venues. Despite the demonstrated effectiveness, the tool support is uneven; some tools target specific domains, e.g. compiler testing, while others are proprietary. The tools can be difficult to use and the precise meaning of the tags are sometimes unclear. As a result, while many testing practitioners and researchers are aware of GBTG, few have detailed knowledge or experience. We present YouGen, a new GBTG tool supporting many of the tags provided by previous tools. In addition, YouGen incorporates covering‐array tags, which support a generalized form of pairwise testing. These tags add considerable power to GBTG tools and have been available only in limited form in previous GBTG tools. We provide semantics for the YouGen tags using parse trees and a new construct, generation trees. We illustrate YouGen with both simple examples and a number of industrial case studies. Copyright © 2010 John Wiley & Sons, Ltd.
On the Extrapolation of Band-Limited Functions with Energy Constraints

Abstruct-A modification of the algorithm proposed by Papoulis and Gerchberg for extrapolating band-limited functions’ is suggested to extend its applicability over data corrupted by noise. We assume that energy constraints are known either for the band-limited signal or for the noise. In addition, the discrete formulation of the iterative algorithm is derived, and the transition from the continuous algorithm to its digital implementation is presented.